Next Article in Journal
Novel Insights into the Antagonistic Effects of Losartan against Angiotensin II/AGTR1 Signaling in Glioblastoma Cells
Next Article in Special Issue
Mastocytosis—A Review of Disease Spectrum with Imaging Correlation
Previous Article in Journal
Genomic Characterization and Therapeutic Targeting of HPV Undetected Cervical Carcinomas
Previous Article in Special Issue
Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon

1
Department of Diagnostic and Interventional Radiology, The University of Texas Medical Branch, Galveston, TX 77555, USA
2
Department of Diagnostic and Interventional Radiology, Mercy Catholic Medical Center, Darby, PA 19023, USA
3
Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
4
Department of Plastic Surgery, Kasr Alainy School of Medicine, Cairo University, Cairo 11562, Egypt
*
Authors to whom correspondence should be addressed.
Cancers 2021, 13(18), 4554; https://doi.org/10.3390/cancers13184554
Submission received: 10 August 2021 / Revised: 5 September 2021 / Accepted: 7 September 2021 / Published: 10 September 2021
(This article belongs to the Special Issue Cancer Imaging: Current Practice and Future Perspectives)

Abstract

:

Simple Summary

The lymphatic system is an essential component of the human circulatory system that plays a critical role in antigen presentation, mounting immune reactions, gastrointestinal tract lipid absorption, and maintenance of interstitial homeostasis. This complex network of specially adapted vessels and lymphoid organs also represents major pathway for cancer spread. Knowledge of lymphatic anatomy, physiology, and expected imaging appearances is crucial in understanding the pattern of cancer spread, with great implications for treatment and management. In this review article, we discuss lymphatic anatomy, physiology, imaging techniques, and radiographic appearances of cancer spread with relevant illustrative cases.

Abstract

The lymphatic system is an anatomically complex vascular network that is responsible for interstitial fluid homeostasis, transport of large interstitial particles and cells, immunity, and lipid absorption in the gastrointestinal tract. This network of specially adapted vessels and lymphoid tissue provides a major pathway for metastatic spread. Many malignancies produce vascular endothelial factors that induce tumoral and peritumoral lymphangiogenesis, increasing the likelihood for lymphatic spread. Radiologic evaluation for disease staging is the cornerstone of oncologic patient treatment and management. Multiple imaging modalities are available to access both local and distant metastasis. In this manuscript, we review the anatomy, physiology, and imaging of the lymphatic system.

1. Introduction

The lymphatic system is an anatomically complex vascular system that is involved in mounting immune reactions, maintaining interstitial fluid homeostasis, and transporting large interstitial particles and cells, as well as in gastrointestinal tract lipid absorption [1,2,3]. The lymphatic system is composed of lymphatic organs that are interconnected with lymphatic vessels. Lymphatic organs include organs such as lymph nodes, spleen, thymus, and bone marrow [1]. This network of specially adapted vessels and lymphoid tissue provides a major pathway for cancer spread. Many tumors express vascular endothelial factors that induce neoangiogenesis and lymphangiogenesis. These processes induce increased growth of blood and lymphatic vessels to the tumor and surrounding regions, providing additional nutrients for tumor growth and more pathways for spread. Increased lymphangiogenesis is associated with higher probability of metastasis through the lymphatic system, including lymph nodes [4,5,6,7]. The most commonly used cancer staging system is the TNM system, where N represents lymph node status. Accurate determination of the N-stage is critical for patient treatment and management. Multiple imaging modalities are utilized to accurately stage disease including ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), positron emission tomography–computed tomography (PET-CT), conventional lymphangiography (CL), magnetic resonance lymphangiography (MRL), and sentinel lymph node (SNL) imaging [8,9,10]. In this review, we briefly illustrate the structure, anatomy, and the most commonly used imaging modalities for evaluation of the lymphatic system.

2. Microscopic Anatomy and Physiology of the Lymphatic System

The lymphatic system is composed of a network of lymphatic vessels that connect lymph nodes and lymphoid organs. Lymphoid organs can be classified as primary or secondary. Primary lymphoid organs such as the thymus and bone marrow are involved in production of lymphocytes. The secondary lymphoid organs such as the spleen, lymph nodes, and tonsils control the maturation of lymphocytes and regulate immune response to pathogens and/or allergens [1,2]. In addition, the lymphatic system maintains fluid homeostasis in the interstitial compartment and participates in the absorptive function of the gastrointestinal tract [1,3]. The lymphatic system starts with blind-ended lymph capillaries (Figure 1A) in the skin and mucosa of the gastrointestinal tract. These capillaries are lined by a single layer of endothelial cells that are loosely connected to each other and deficient in both the basement membrane and pericytes. The loose connections between lymphatic endothelial cells increase the permeability of the lymphatic capillaries and facilitate exchange with the interstitial compartment [1,2,4]. Lymphatic endothelial cells are connected to the extracellular interstitial tissue with anchoring filaments [4,11]. When the interstitial tissue pressure increases, the anchoring filaments stretch and the junctions between lymphatic endothelial cells widen, resulting in increased passive transport (Figure 1B) of interstitial fluid, particles, lipids, and proteins [1,2,4].
Lymphatic capillaries drain into pre-collecting lymphatic vessels, which are also lined by a single layer of lymphatic endothelial cells and occasionally are surrounded by a single layer of smooth muscle [1,12]. Pre-collecting lymphatic vessels transport lymph to the collecting lymphatics that comprise of intima, media, and adventitia layers (layered anatomy found in blood vessels). The endothelial cells in collecting lymphatics are tightly adherent together with zipperlike junctions and are surrounded by a basement membrane to prevent lymph leakage. Collecting lymphatics have unidirectional valves that permit only forward flow of lymph toward the heart [12]. Eventually, lymph drains into the systemic venous system through either the right lymphatic duct or the thoracic duct. Transit of lymph throughout lymphatic system is characterized by passage through lymph nodes and lymphoid tissue where complex processes take place such as antigen presentation and activation/modulation of immune system. This process also presents a pathway for deposition of tumor cells in the lymphoid tissue along the way, resulting in metastatic spread. Lymph nodes receive multiple afferent lymph vessels through the cortex and drain through efferent lymphatic vessels [2].

2.1. Lymphatic Anatomy of the Abdomen, Pelvis and Lower Extremities

2.1.1. Inguinal and Popliteal Lymph Nodes and Lower Extremity Lymphatic Drainage Pathways

The inguinal lymph nodes are classified as superficial and deep nodes on the basis of the relationship to the fascia lata [3]. The superficial inguinal lymph nodes are further classified into five subgroups by the greater saphenous vein (GSV) and a horizontal line running through the saphenofemoral junction (Figure 2). The five subgroups include superomedial, superolateral, inferomedial, inferolateral, and central groups [3,13]. The superomedial group drains the medial infraumbilical abdominal wall, medial gluteal region, external genitalia, lower anal canal, and the perianal region. The superolateral group receives lymph from lateral infraumbilical region, lower back, and lateral gluteal region [3]. Lymphatic drainage pathways of lower extremities are comprised of two distinct routes that may communicate the posterolateral and the anteromedial lymphatic vessels. The posterolateral pathway follows the small saphenous vein and drains in the popliteal lymph nodes. Efferent lymphatic vessels from the popliteal lymph nodes either join the deep lower extremity lymphatic system and terminate in the deep inguinal lymph nodes, or join the anteromedial lymphatic vessels [14]. Anteromedial lymphatic pathway continues with the great saphenous vein and usually drains in the inferolateral group [13,14]. Deep inguinal lymph nodes drain the lower extremity deep lymphatic vessels that accompany the femoral vessels [3]. Efferent vessels from the inguinal lymph nodes transport lymph to the external iliac lymph nodes [3]. Some lymphatic vessels from the lower extremity bypass the superficial and deep inguinal lymph nodes and drain directly in the external iliac lymph nodes. Meticulous examination of the external iliac lymph nodes should be routinely performed on patients with lower extremity malignancies even if the inguinal lymph nodes are normal [14].

2.1.2. Iliac Lymph Nodes Anatomy

Iliac lymph node chain includes the external, internal, and common iliac lymph nodes. The external iliac lymph nodes are in close proximity to the external iliac vessels. The location of these nodes extends from the bifurcation of the common iliac vessels to the inguinal ligament [3,15]. The external iliac lymph nodes are divided in three subgroups (lateral, middle, and medial) according to their position relative to the external iliac vessels (Figure 3). The medial group is located medial or posteromedial to the external iliac vessels. The medial group is sometimes referred to as the obturator lymph nodes. The middle group lies between the external iliac artery and vein. The lateral group is lateral to the external iliac artery [15,16]. The external iliac lymph nodes provide the drainage route for the inguinal lymph nodes [3,16].
The internal iliac lymph nodes drain the pelvic organs and follow the branches of the internal iliac artery. These lymph nodes are sometimes referred to as the hypogastric lymph nodes, which are located posteriorly in the pelvis. The internal iliac lymph chain includes multiple lymph node groups. Most identified internal iliac lymph node groups include the anterior iliac, lateral sacral, and presacral lymph nodes. The anterior internal iliac lymph nodes run along the anterior division of the internal iliac artery (Figure 4). The presacral lymph nodes are in the midline anterior to the sacrum. The lateral sacral lymph nodes follow the lateral sacral artery (Figure 4) [15,16].
Lymph from the internal and external iliac lymphatic chains drains more centrally to the common iliac lymph nodes. The common iliac lymph nodes follow the course of the common iliac vessels and extend from the aortic bifurcation to the common iliac bifurcation [15,16]. Common iliac lymph nodes are divided in three subgroups: lateral, medial, and middle lymphatic chains (Figure 5). The lateral and medial subgroups are located on the lateral and medial sides of the common iliac artery, respectively. The middle subgroup is in the lumbosacral fossa. Lumbosacral fossa is anterior to the lower lumbar and proximal sacral vertebrae and bordered anterolaterally by the iliopsoas muscle.

2.1.3. Peri-Aortic Lymph Node Anatomy

The common iliac lymph nodes transport lymphatic drainage from the lower extremities and pelvis to the retroperitoneal lymph nodes. Functionally, retroperitoneal lymph nodes are categorized in four subgroups: pre-aortic, right and left lateral aortic, and post-aortic lymph nodes (Figure 6). The pre-aortic lymph nodes are anterior to the abdominal aorta around the visceral branches (celiac, superior mesenteric, and inferior mesenteric arteries). They receive afferent lymphatics from the bowel. The right and left lateral aortic lymph nodes receive efferent lymphatics from the ipsilateral iliac lymph nodes, kidney, adrenal gland, and the gonads. The post-aortic subgroup shares the drainage with the lateral subgroups. Afferent lymphatics from the peri-aortic lymph nodes transport lymph to the cisterna chyli [17].

2.1.4. Anatomy of the Visceral/Digestive Lymph Nodes

The digestive tract lymph is drained through the pre-aortic lymph nodes that include three distinct lymph nodes stations running along the origin of the visceral branches of the aorta. These lymph stations are the celiac, superior mesenteric, and inferior mesenteric lymph nodes. The celiac lymph nodes receive afferent lymphatics from the stomach, duodenum, pancreas, spleen, and most of the hepatobiliary system [3,17]. The superior mesenteric lymph nodes run along the superior mesenteric artery branches. These lymph nodes drain the distal duodenum, ileum, jejunum, ascending colon, and proximal transverse colon. The inferior mesenteric lymph nodes drain the rest of the colon and the upper rectum [17]. These visceral lymph nodes drain into the cisterna chyli, which eventually drains into the thoracic duct that provides drainage of the left hemithorax, abdomen, and lower extremities. Thoracic duct enters the systemic venous system at the left subclavian and internal jugular vein junction. On the other hand, the right lymphatic duct drains lymph from the right hemithorax, right upper extremity, and right hemiface (Figure 7) [3,18].

3. Lymphatic Spread of Cancer

The lymphatic system provides a major pathway for tumor spread. There is proven correlation between tumoral lymphangiogenesis, invasion of the lymphatic system, and distant/hematogenous metastasis [4,5]. Vascular endothelial growth factors (VEGF)-C and -D have been associated with high metastatic potential to the lymphatic system. VEGF-C and -D induce lymphangiogenesis through activation of vascular endothelial growth factor receptor-3 (VEGFR-3), which is mainly produced by the lymphatic endothelial cells. Tumors overexpressing VEGF-A, neutropilin-2, VEGF-C, and VEGF-D are associated with increased potential for lymphatic spread [4,5,6,7,19].

4. Radiologic Evaluation of the Lymphatic System in Cancer Patients

Radiologic evaluation of the lymphatic system is challenging due to the complex anatomy and physiology. Lymphatic system is composed of lymphoid organs interconnected together with the lymphatic vessels. Broadly speaking, lymphoid organs such as lymph nodes and spleen are characterized by anatomic and physiologic imaging such as computed tomography (CT), magnetic resonance (MR), ultrasound (US), or positron emission tomography (PET) [8]. On the other hand, lymphatic vessels are evaluated by magnetic resonance lymphangiography or conventional lymphangiography [8,9].
Cancer treatment relies greatly on the TNM staging, where the N represents the nodal stage of the tumor. Cross-sectional anatomic imaging has been the cornerstone modality to determine the N stage of most cancers. Anatomic imaging depends heavily on lymph nodes size criteria and morphology to determine the probability of lymphatic metastasis. However, this approach can be problematic because small and anatomically normal lymph nodes can harbor micro-metastases beyond the capability of anatomical imaging. Functional imaging such as positron emission tomography (PET), ultrasmall superparamagnetic particles of iron oxide (USPIO) MRI, and contrast-enhanced US have been used for cancer staging in these situations [9,10].

4.1. Cross-Sectional Evaluation of the Lymphatic System

4.1.1. Ultrasound Evaluation of the Lymphatic System

US is a noninvasive imaging modality that can be performed at bedside to evaluate nodal disease without use of ionizing radiation, with the possibility of biopsy and tissue diagnosis at the same time. Main disadvantages of US include operator dependency and poor penetration of deeper tissues [8]. There is no single US feature that can accurately discriminate between benign and malignant lymph nodes. Furthermore, there is a significant overlap in the imaging appearance between reactive and malignant lymph nodes. Nuanced approach using a combination of several US grayscale and Doppler imaging features has been suggested to differentiate between benign and malignant lymph nodes. Morphologic features such as lymph node size, shape, presence of hilar fat, echogenicity, vascular pattern, and flow resistance have been helpful in characterizing lymph nodes (Table 1) [20,21]. Ratio of short to long (S/L) lymph node axis can also be used to determine nodal benignity. S/L less than 0.5 is typically associated with benignity [22]. Benign lymph nodes are usually small (<1 cm in short axis), oval with smooth or indistinct margins, and contain echogenic fatty hila (Figure 8) [20,23]. On the other hand, malignant lymph nodes typically appear hypoechoic with effacement or infiltration of fatty hila, usually measure more than 1 cm in short axis with S/L axis ratio ≥ 0.5, and have a rounded shape (Figure 9) [20].
Vascular pattern seen on Doppler can be used in conjunction with grayscale features to assess benignity. Four vascular patterns of lymph node blood supply have been described: hilar, peripheral, mixed (peripheral and hilar), and avascular [24]. Normal lymph nodes are either avascular or have hilar blood flow (Figure 8). Malignant or reactive lymph nodes vascularity is usually peripheral or mixed (Figure 9 and Figure 10) [21,24,25]. Vascular resistance and resistive indices may offer clues in discerning malignant from reactive lymph nodes. Reactive lymph nodes typically demonstrate low vascular resistance secondary to vasodilation. On the other hand, malignant lymph nodes are more likely to demonstrative high resistive indices due to malignant infiltration of the lymph nodes that increases intranodal pressure and compresses blood vessels [24].
Contrast-enhanced US (CEUS) is an US-based imaging modality that utilizes microbubbles as the contrast agent. CEUS increases the specificity, sensitivity, and accuracy of US in differentiating between benign and malignant lymph nodes to 93%, 92%, and 92.8%, respectively [26]. Neoplastic invasion of lymph nodes changes lymph node architecture due to proliferation of malignant cells. These changes include increase lymph node vascularity due to peri- and intra-nodal angiogenesis. When tumor growth exceeds the vascular supply, focal or diffuse necrosis occurs. These changes manifest as mixed or peripheral (centripetal) vascularity, lack of hilar enhancement, and focal or diffuse hypoenhancement [21,26,27,28,29,30,31,32]. In contrast, reactive lymph nodes usually demonstrate increased hilar enhancement (centrifugal) and lack of necrosis/hypoenhancement [21,26,28,30,31]. Despite the characteristic patterns of benign and malignant lymph nodes on CEUS, caution should be practiced when interpreting these findings. Lymphoma for example can mimic reactive lymph node enhancement characteristics. On the other hand, tuberculosis may resemble malignant lymph nodes on CEUS [27,30,33,34].

4.1.2. Computed Tomography (CT) and Conventional Magnetic Resonance Imaging (MRI) of the Lymphatic System

Conventional CT and MRI are the most common imaging modalities used to determine the N-stage of most cancers. CT and MRI provide high anatomical detail and outperform US in evaluation of deeper lymph nodes. Lymph node morphology and size are the main determinant of malignant potential on CT and MRI [35]. There is no consensus on a cutoff size for metastatic lymph nodes. Classically, lymph nodes more than 10 mm are concerning. However, this rule varies by lymph node station and sometimes malignancy subtype. Normal inguinal lymph nodes can measure up to 15 mm in short axis [36]. However, retroperitoneal, and iliac chain lymph nodes are concerning when they exceed 6–8 mm [15,37,38,39,40,41]. In addition to lymph node size, morphology is a crucial factor to consider when evaluating for malignant involvement. Combining both size and morphology increases accuracy for malignant lymph node detection. Normal lymph nodes are oval, oblong, or kidney-shaped with fatty hila. Round morphology, loss of fatty hilum, and necrosis are worrisome features concerning for metastasis [15].

4.1.3. Positron Emission Tomography (PET) and Positron Emission Tomography-Computed Tomography (PET-CT)

PET is a physiologic imaging modality that relies on injecting patients with an intravenous radiopharmaceutical agent that is taken-up and concentrated by the target tissue. Radiopharmaceutical agent is a combination of a radioactive isotope and a pharmaceutical agent. The isotope is the radioactive component of the radiopharmaceutical and responsible for releasing the energy through an annihilation reaction between the positrons and electrons in the target tissue releasing a pair of 511 KeV photons. The released photon pair is detected by PET detectors implanted in the PET gantry. Multiple isotopes are used for PET imaging including 11C, 13N, 15O, and 18F. The pharmaceutical component of the radiopharmaceutical agent determines tissue specificity. The most commonly used radiopharmaceutical agent in oncological imaging is 18-fluoro-deoxy-glucose (18F-FDG). PET is an excellent imaging modality that provides excellent staging information. However, relatively low spatial resolution has been the main disadvantage of PET imaging. This limitation has been partially overcome with the advent of hybrid physiologic and anatomic techniques such as positron emission tomography–computed tomography (PET-CT) and positron emission tomography–magnetic resonance (PET-MR). These allow for improved spatial resolution with improved performance in oncological imaging [42].
FDG uptake in neoplastic cells depends on the expression of glucose transporters. Most cancer cells are hypermetabolic and overexpress glucose transporters. Hence, most cancer cells will demonstrate increased uptake of 18F-FDG (Figure 11, Figure 12 and Figure 13). After cellular uptake, 18F-FDG undergoes phosphorylation by hexokinase and becomes trapped inside the cell. In addition to hypermetabolic cancer cells, inflammatory cells have increased 18F-FDG uptake, resulting in decreased 18F-FDG PET-CT specificity (Figure 14) [43]. Moreover, PET and PET-CT performance in detecting primary and metastatic lesions varies according the FDG avidity of tumor cells [43]. In cervical cancer, PET and PET-CT have higher sensitivity and specificity than CT and MRI in diagnosing malignant lymph nodes [44,45]. In breast cancer, PET-CT is more sensitive and specific when compared to US in detecting metastatic axillary lymph nodes. Additionally, PET-CT changes management in approximately 13% of breast cancer patients [46,47].

4.2. Vascular Imaging of the Lymphatic System

4.2.1. Conventional Lymphangiography (CL)

Conventional lymphangiography is an invasive imaging modality that was historically used to evaluate for lymphatic vessels and lymph node metastasis. Two techniques have been described for conventional lymphangiography: pedal and intranodal lymphangiography. Pedal lymphangiography starts by intradermal injection of methylene blue in the subcutaneous soft tissue. The dye is used to stain the lymphatic vessels. Afterward, a peripheral lymphatic vessel is cannulated with a very small needle and injected with a radiopaque oil contrast (Lipiodol) [48,49]. Intranodal lymphangiography is performed through directly injecting an inguinal lymph node with a radiopaque oil contrast (Lipiodol) followed by serial angiographic imaging of the area of concern [50,51]. Historically, CL has been utilized to evaluate for lymphatic vessels and lymph node metastasis. Normal lymph node homogeneously opacifies with the oil contrast agent. Presence of filling defects within the lymph node would be interpreted as a potential metastasis [52,53,54]. Currently, lymphangiography has been replaced by CT and MRI for cancer staging [9]. However, lymphangiography with or without thoracic duct embolization is still performed for diagnostic and therapeutic purposes in patients with postsurgical or posttraumatic lymphatic leaks, chylus ascites, or chylus pleural effusions (Figure 15 and Figure 16) [48,49,50].

4.2.2. Magnetic Resonance Lymphangiogram (MRL)

MRL is a novel imaging technique that is used mainly to evaluate the lymphatic vessels in patients with lymphedema, which is commonly encountered in postsurgical lymph node dissection. Similar to conventional lymphangiography, either nodal or pedal approach is utilized for MRL [18,55,56]. In the pedal approach, a diluted gadolinium-based contrast media (GBCM) is injected intradermally in the interdigital web spaces or dorsal aspect of the foot [55,56]. In the nodal approach, the inguinal lymph nodes are directly injected with GBCM under US guidance [18] The following sequences are obtained: regular T2 weighted, heavily T2 weighted, precontract T1, and postcontrast T1 (THRIVE, VIBE, LAVA). Delayed imaging at 15–30 min after contrast injection can be performed if examination of the washout phase is required [18,55,56]. MRL without contrast has been reported in the literature. It is a heavily T2 weighted MR sequence similar to MR cholangiopancreatography and urography [57,58]. The main advantage of MRL over CL is absence of patients’ exposure to ionizing radiation. On the other hand, venous contamination and long scanning time are the technical challenges with MRL. Venous and lymphatic vessels can be differentiated on the basis of morphology. Lymphatic vessels are more tortuous and have a beaded appearance [18,56]. The main clinical application of MRL is for lymphedema evaluation. Abnormal lymphatic vessels are ectatic with multiple collaterals and retrograde flow of contrast in addition to subcutaneous soft tissue thickening due lymphedema. Contrast leakage in the peritoneum, pericardium, or pleural cavity can be identified [18,56].

4.2.3. Ultrasmall Superparamagnetic Particles of Iron Oxide (USPIO) MRL

Despite being the cornerstone for cancer staging, conventional CT and MRI are limited in differentiating between benign and malignant lymph nodes, especially when lymph nodes are not enlarged. USPIO MRL is a novel imaging modality used to evaluate the lymphatic system. In cancer patients, USPIO MRL is performed using ultrasmall superparamagnetic iron oxide as the contrast agent. After intravenous injection, USPIO is filtered in the interstitium. Afterwards, USPIO is phagocytosed by macrophages and transported to reticuloendotilial organs including lymph nodes [59,60]. Twenty to thirty-six hours after intravenous injection of USPIO, heavily T2-weighted MR or gradient-echo T2*-weighted sequences are obtained. USPIO is a paramagnetic agent that changes the homogeneity of the magnetic field and produces signal loss, especially on susceptibility-sensitive sequences such as the gradient echo sequence. Normal lymph nodes will uptake USPIO and demonstrate low signal intensity on post-injection imaging. Malignant lymph nodes are infiltrated by malignant cells and lack normal lymphoid tissue and macrophages that normally uptake USPIO. Thus, malignant lymph nodes appear essentially unchanged after USPIO injection due to lack of USPIO uptake within the malignant lymph nodes [59,61,62]. The overall sensitivity, specificity, and accuracy of USPIO MRL are 90.5–100%, 37.5–97.8%, and 97.3%, respectively. However, USPIO MRL sensitivity, specificity, and accuracy for lymph node less than 5 mm are 41%, 98%, and 90% [60,63,64]. Despite the high specificity and sensitivity of USPIO MRL, the clinical adoption of this imaging modality worldwide is still in the very early phases due to advanced technologies required for developing USPIO. Additional challenges for USPIO include iron toxicity and long circulation time that requires a significant delay between contrast injection and image acquisition for up to 36 h.

4.3. Sentinel Lymph Node (SNL) Imaging

Accurate locoregional staging of various tumors significantly impacts patient management. Historically, draining lymph node dissection (LND) was the standard diagnostic procedure and treatment of choice for evaluating and treating locoregional lymph node metastasis. However, LND is invasive and associated with higher risk of lymphedema. With the introduction of sentinel lymph node imaging in the late 19th century, the rate of radical lymphatic dissection in melanoma patients has drastically declined. SNL imaging relies on the fact that all primary tumors are drained by lymphatics to a certain lymph node or a group of lymph nodes. Identification of SNL and surgical resection for pathologic evaluation can save patients unnecessary LND. Blue V dye was initially used to detect SNL in melanoma patients. The dye is injected intradermally and is transported by the lymphatic system. The draining lymphatic vessels and sentinel lymph nodes are visually identified by the blue color and resected for pathologic evaluation. On the basis of pathological findings, the decision to proceed with LND is made. Blue dye sentinel lymph node imaging is 96% accurate in detecting metastatic lymph nodes in melanoma patients [65,66]. The same technique has been applied in breast cancer, with a reported sensitivity of 88% [67].

Lymphoscintigraphy

After the introduction of blue V dye SNL imaging, multiple nuclear radioisotopes have been used for lymphoscintigraphy (nuclear SNL): 99mTc sulfur colloid, 99mTc tilmanocept, 99mTc nanocolloid of albumin, and 99mTc antimony sulfide colloid. Performance of lymphoscintigraphy is dependent on physical characteristics of the radioisotope used. The preferred isotope should not diffuse in the interstitium or immediately transit into the venous system. The radiotracer should also move at an acceptable speed throughout the lymphatic vessels. Radioisotope particle size of 30 to 100 nm has been found to be optimal to achieve these requirements [68]. After intradermal injection, the radioisotope is transferred from the interstitium by the lymphatic capillaries into the lymphatic system and eventually to a draining lymph node. Sentinel lymph node is defined as the first draining lymph node receiving lymphatic drainage or afferent lymphatics from the primary tumor (Figure 17 and Figure 18) [69,70]. The scintigraphic appearance time (SAT), lymphatic transit rate (LTR), and scintigraphic saturation time (SST) are lymphoscintigraphic parameters that have been used to predict the probability of SLN metastasis in melanoma and breast cancer patients [71,72,73,74]. SAT is the time interval between radioisotope injection and visualization of the SLN. Short SAT has been associated with a higher probability of SNL metastasis, while long SAT carries lower likelihood of metastatic SLN. However, exact cutoff parameters defining long and short SAT vary. Short SAT has been reported to be less than 20 and 32 min [71,72,74]. SST represents the time needed for SNL to reach peak uptake. LTR is calculated by dividing the tumor to SNL distance over the SST. Patients with metastatic SNL have high LTR [73]. The correlation between high lymphatic flow and SNL metastasis can be explained by increased tumoral and peritumoral lymphangiogenesis, resulting in increased lymphatic flow [71,72,73]. In addition to melanoma and breast cancer, SNL lymphoscintigraphy is used and investigated in surgical planning applications for multiple malignancies including head and neck, valvular, cervical, and prostate cancers [75,76,77,78,79,80]. Utilizing SPECT/CT with lymphoscintigraphy improves anatomical localization and detection rate of lymphoscintigraphy [81,82]. Multiple factors can affect lymphoscintigraphy including BMI, age, and tumor location. Non-visualization rate of sentinel lymph node has been reported to be 2–28% [83].

5. Conclusions

Understanding the lymphatic system anatomy and physiology is crucial for evaluation of nodal and lymphatic metastasis. Multiple endothelial growth factors are involved in tumoral and peritumoral lymphangiogenesis that can be a potential target for cancer metastasis treatment. Multiple imaging modalities are available to evaluate lymphatic metastasis. Each imaging modality has its own potentials and limitations. Understanding potentials and limitations of these modalities is critical for optimal patient care.

Author Contributions

M.E. wrote and organized the manuscript and created the illustrative figures. A.W.M. reviewed the manuscript draft and organized multiple images for the manuscript. U.S., S.P.K., B.R.K., C.T.J. and S.J. reviewed the manuscript and provided critical analysis of the content. T.H. critically reviewed and provided multiple images for the manuscript. K.M.E. is the principal investigator on this project who critically reviewed the final manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Al-Kofahi, M.; Yun, J.W.; Minagar, A.; Alexander, J.S. Anatomy and roles of lymphatics in inflammatory diseases. Clin. Exp. Neuroimmunol. 2017, 8, 199–214. [Google Scholar] [CrossRef] [Green Version]
  2. Scaglioni, M.F.; Suami, H. Anatomy of the Lymphatic System and the Lymphosome Concept with Reference to Lymphedema. Semin. Plast. Surg. 2018, 32, 5–11. [Google Scholar] [CrossRef]
  3. Hsu, M.C.; Itkin, M. Lymphatic Anatomy. Tech. Vasc. Interv. Radiol. 2016, 19, 247–254. [Google Scholar] [CrossRef]
  4. Tammela, T.; Alitalo, K. Lymphangiogenesis: Molecular Mechanisms and Future Promise. Cell 2010, 140, 460–476. [Google Scholar] [CrossRef] [Green Version]
  5. Dellinger, M.T.; Witte, M.H. Lymphangiogenesis, lymphatic systemomics, and cancer: Context, advances and unanswered questions. Clin. Exp. Metastasis 2018, 35, 419–424. [Google Scholar] [CrossRef] [Green Version]
  6. Mandriota, S.J.; Jussila, L.; Jeltsch, M.; Compagni, A.; Baetens, D.; Prevo, R.; Banerji, S.; Huarte, J.; Montesano, R.; Jackson, D.G.; et al. Vascular endothelial growth factor-C-mediated lymphangiogenesis promotes tumour metastasis. EMBO J. 2001, 20, 672–682. [Google Scholar] [CrossRef] [Green Version]
  7. Stacker, S.A.; Caesar, C.; Baldwin, M.E.; Thornton, G.E.; Williams, R.A.; Prevo, R.; Jackson, D.G.; Nishikawa, S.-I.; Kubo, H.; Achen, M.G. VEGF-D promotes the metastatic spread of tumor cells via the lymphatics. Nat. Med. 2001, 7, 186–191. [Google Scholar] [CrossRef]
  8. Clément, O.; Luciani, A. Imaging the lymphatic system: Possibilities and clinical applications. Eur. Radiol. 2004, 14, 1498–1507. [Google Scholar] [CrossRef]
  9. Barrett, T.; Choyke, P.L.; Kobayashi, H. Imaging of the lymphatic system: New horizons. Contrast Media Mol. Imaging 2006, 1, 230–245. [Google Scholar] [CrossRef] [PubMed]
  10. Munn, L.L.; Padera, T.P. Imaging the lymphatic system. Microvasc. Res. 2014, 96, 55–63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Baluk, P.; Fuxe, J.; Hashizume, H.; Romano, T.; Lashnits, E.; Butz, S.; Vestweber, D.; Corada, M.; Molendini, C.; Dejana, E.; et al. Functionally specialized junctions between endothelial cells of lymphatic vessels. J. Exp. Med. 2007, 204, 2349–2362. [Google Scholar] [CrossRef]
  12. Schulte-Merker, S.; Sabine, A.; Petrova, T.V. Lymphatic vascular morphogenesis in development, physiology, and disease. J. Cell Biol. 2011, 193, 607–618. [Google Scholar] [CrossRef] [Green Version]
  13. Shinaoka, A.; Koshimune, S.; Suami, H.; Yamada, K.; Kumagishi, K.; Boyages, J.; Kimata, Y.; Ohtsuka, A. Lower-Limb Lymphatic Drainage Pathways and Lymph Nodes: A CT Lymphangiography Cadaver Study. Radiology 2020, 294, 223–229. [Google Scholar] [CrossRef]
  14. Yamazaki, S.; Suami, H.; Imanishi, N.; Aiso, S.; Yamada, M.; Jinzaki, M.; Kuribayashi, S.; Chang, D.W.; Kishi, K. Three-dimensional demonstration of the lymphatic system in the lower extremities with multi-detector-row computed tomography: A study in a cadaver model. Clin. Anat. 2013, 26, 258–266. [Google Scholar] [CrossRef]
  15. McMahon, C.J.; Rofsky, N.M.; Pedrosa, I. Lymphatic Metastases from Pelvic Tumors: Anatomic Classification, Characterization, and Staging. Radiology 2010, 254, 31–46. [Google Scholar] [CrossRef]
  16. Park, J.M.; Charnsangavej, C.; Yoshimitsu, K.; Herron, D.H.; Robinson, T.J.; Wallace, S. Pathways of nodal metastasis from pelvic tumors: CT demonstration. Radiographics 1994, 14, 1309–1321. [Google Scholar] [CrossRef] [Green Version]
  17. Lengelé, B.; Nyssen-Behets, C.; Scalliet, P. Anatomical bases for the radiological delineation of lymph node areas. Upper limbs, chest and abdomen. Radiother. Oncol. 2007, 84, 335–347. [Google Scholar] [CrossRef]
  18. Chavhan, G.B.; Amaral, J.G.; Temple, M.; Itkin, M. MR Lymphangiography in Children: Technique and Potential Applications. Radiographics 2017, 37, 1775–1790. [Google Scholar] [CrossRef] [Green Version]
  19. Skobe, M.; Hawighorst, T.; Jackson, D.G.; Prevo, R.; Janes, L.; Velasco, P.; Riccardi, L.; Alitalo, K.; Claffey, K.; Detmar, M. Induction of tumor lymphangiogenesis by VEGF-C promotes breast cancer metastasis. Nat. Med. 2001, 7, 192–198. [Google Scholar] [CrossRef]
  20. Prativadi, R.; Dahiya, N.; Kamaya, A.; Bhatt, S. Chapter 5 Ultrasound Characteristics of Benign vs Malignant Cervical Lymph Nodes. Semin. Ultrasound CT MRI 2017, 38, 506–515. [Google Scholar] [CrossRef]
  21. Wang, B.; Zhang, M.K.; Zhou, M.P.; Liu, Y.; Li, N.; Liu, G.; Wang, Z.L. Logistic Regression Analysis of Conventional Ultrasound, and Contrast-Enhanced Ultrasound Characteristics. J. Ultrasound Med. 2021. [Google Scholar] [CrossRef]
  22. Dudea, S.M.; Lenghel, M.; Botar-Jid, C.; Vasilescu, D.; Duma, M. Ultrasonography of superficial lymph nodes: Benign vs. malignant. Med. Ultrason. 2012, 14, 294–306. [Google Scholar]
  23. Vassallo, P.; Wernecke, K.; Roos, N.; E Peters, P. Differentiation of benign from malignant superficial lymphadenopathy: The role of high-resolution US. Radiology 1992, 183, 215–220. [Google Scholar] [CrossRef]
  24. Ahuja, A.; Ying, M. Sonographic evaluation of cervical lymphadenopathy: Is power Doppler sonography routinely indicated? Ultrasound Med. Biol. 2003, 29, 353–359. [Google Scholar] [CrossRef]
  25. Ahuja, A.T. Ultrasound of malignant cervical lymph nodes. Cancer Imaging 2008, 8, 48–56. [Google Scholar] [CrossRef] [Green Version]
  26. Rubaltelli, L.; Khadivi, Y.; Tregnaghi, A.; Stramare, R.; Ferro, F.; Borsato, S.; Fiocco, U.; Adami, F.; Rossi, C.R. Evaluation of lymph node perfusion using continuous mode harmonic ultrasonography with a second-generation contrast agent. J. Ultrasound Med. 2004, 23, 829–836. [Google Scholar] [CrossRef]
  27. Cui, X.-W. New ultrasound techniques for lymph node evaluation. World J. Gastroenterol. 2013, 19, 4850–4860. [Google Scholar] [CrossRef] [PubMed]
  28. Rubaltelli, L.; Beltrame, V.; Tregnaghi, A.; Scagliori, E.; Frigo, A.C.; Stramare, R. Contrast-Enhanced Ultrasound for Characterizing Lymph Nodes With Focal Cortical Thickening in Patients With Cutaneous Melanoma. Am. J. Roentgenol. 2011, 196, W8–W12. [Google Scholar] [CrossRef]
  29. Wan, C.F.; Du, J.; Fang, H.; Li, F.H.; Zhu, J.S.; Liu, Q. Enhancement Patterns and Parameters of Breast Cancers at Contrast-enhanced US: Correlation with Prognostic Factors. Radiology 2012, 262, 450–459. [Google Scholar] [CrossRef]
  30. Yu, M.; Liu, Q.; Song, H.-P.; Han, Z.-H.; Su, H.-L.; He, G.-B.; Zhou, X.-D. Clinical Application of Contrast-Enhanced Ultrasonography in Diagnosis of Superficial Lymphadenopathy. J. Ultrasound Med. 2010, 29, 735–740. [Google Scholar] [CrossRef]
  31. Ouyang, Q.; Chen, L.; Zhao, H.; Xu, R.; Lin, Q. Detecting Metastasis of Lymph Nodes and Predicting Aggressiveness in Patients With Breast Carcinomas. J. Ultrasound Med. 2010, 29, 343–352. [Google Scholar] [CrossRef]
  32. Chen, L.; Chen, L.; Liu, J.; Wang, B.; Zhang, H. Value of Qualitative and Quantitative Contrast-Enhanced Ultrasound Analysis in Preoperative Diagnosis of Cervical Lymph Node Metastasis From Papillary Thyroid Carcinoma. J. Ultrasound Med. 2020, 39, 73–81. [Google Scholar] [CrossRef] [PubMed]
  33. Nakase, K.; Yamamoto, K.; Hiasa, A.; Tawara, I.; Yamaguchi, M.; Shiku, H. Contrast-enhanced ultrasound examination of lymph nodes in different types of lymphoma. Cancer Detect. Prev. 2006, 30, 188–191. [Google Scholar] [CrossRef] [PubMed]
  34. Ahuja, A.T.; Ying, M. Sonographic Evaluation of Cervical Lymph Nodes. Am. J. Roentgenol. 2005, 184, 1691–1699. [Google Scholar] [CrossRef]
  35. Luciani, A.; Itti, E.; Rahmouni, A.; Meignan, M.; Clement, O. Lymph node imaging: Basic principles. Eur. J. Radiol. 2006, 58, 338–344. [Google Scholar] [CrossRef]
  36. Grey, A.; Carrington, B.; Hulse, P.; Swindell, R.; Yates, W. Magnetic Resonance Appearance of Normal Inguinal Nodes. Clin. Radiol. 2000, 55, 124–130. [Google Scholar] [CrossRef] [PubMed]
  37. Brown, G.; Richards, C.J.; Bourne, M.W.; Newcombe, R.G.; Radcliffe, A.G.; Dallimore, N.S.; Williams, G.T. Morphologic Predictors of Lymph Node Status in Rectal Cancer with Use of High-Spatial-Resolution MR Imaging with Histopathologic Comparison. Radiology 2003, 227, 371–377. [Google Scholar] [CrossRef]
  38. Fukuda, H.; Nakagawa, T.; Shibuya, H. Metastases to pelvic lymph nodes from carcinoma in the pelvic cavity: Diagnosis using thin-section CT. Clin. Radiol. 1999, 54, 237–242. [Google Scholar] [CrossRef]
  39. Oyen, R.H.; Van Poppel, H.P.; E Ameye, F.; A Van De Voorde, W.; Baert, A.L.; Baert, L.V. Lymph node staging of localized prostatic carcinoma with CT and CT-guided fine-needle aspiration biopsy: Prospective study of 285 patients. Radiology 1994, 190, 315–322. [Google Scholar] [CrossRef]
  40. Hilton, S.; Herr, H.W.; Teitcher, J.B.; Begg, C.B.; Castéllino, R.A. CT detection of retroperitoneal lymph node metastases in patients with clinical stage I testicular nonseminomatous germ cell cancer: Assessment of size and distribution criteria. Am. J. Roentgenol. 1997, 169, 521–525. [Google Scholar] [CrossRef] [Green Version]
  41. Vinnicombe, S.; Norman, A.R.; Nicolson, V.; Husband, J.E. Normal pelvic lymph nodes: Evaluation with CT after bipedal lymphangiography. Radiology 1995, 194, 349–355. [Google Scholar] [CrossRef] [PubMed]
  42. Mittra, E.; Quon, A. Positron Emission Tomography/Computed Tomography: The Current Technology and Applications. Radiol. Clin. N. Am. 2009, 47, 147–160. [Google Scholar] [CrossRef]
  43. Vallabhajosula, S. 18F-Labeled Positron Emission Tomographic Radiopharmaceuticals in Oncology: An Overview of Radiochemistry and Mechanisms of Tumor Localization. Semin. Nucl. Med. 2007, 37, 400–419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Liu, B.; Gao, S.; Li, S. A Comprehensive Comparison of CT, MRI, Positron Emission Tomography or Positron Emission Tomogra-phy/CT, and Diffusion Weighted Imaging-MRI for Detecting the Lymph Nodes Metastases in Patients with Cervical Cancer: A Me-ta-Analysis Based on 67 Studies. Gynecol. Obstet. Investig. 2017, 82, 209–222. [Google Scholar] [CrossRef] [PubMed]
  45. Choi, H.J.; Ju, W.; Myung, S.-K.; Kim, Y. Diagnostic performance of computer tomography, magnetic resonance imaging, and positron emission tomography or positron emission tomography/computer tomography for detection of metastatic lymph nodes in patients with cervical cancer: Meta-analysis. Cancer Sci. 2010, 101, 1471–1479. [Google Scholar] [CrossRef]
  46. Riegger, C.; Koeninger, A.; Hartung, V.; Otterbach, F.; Kimmig, R.; Forsting, M.; Bockisch, A.; Antoch, G.; Heusner, T.A. Comparison of the Diagnostic Value of FDG-PET/CT and Axillary Ultrasound for the Detection of Lymph Node Metastases in Breast Cancer Patients. Acta Radiol. 2012, 53, 1092–1098. [Google Scholar] [CrossRef] [PubMed]
  47. Cochet, A.; Dygai-Cochet, I.; Riedinger, J.-M.; Humbert, O.; Berriolo-Riedinger, A.; Toubeau, M.; Guiu, S.; Coutant, C.; Coudert, B.; Fumoleau, P.; et al. 18F-FDG PET/CT provides powerful prognostic stratification in the primary staging of large breast cancer when compared with conventional explorations. Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 428–437. [Google Scholar] [CrossRef]
  48. Itkin, M.; Kucharczuk, J.C.; Kwak, A.; Trerotola, S.O.; Kaiser, L.R. Nonoperative thoracic duct embolization for traumatic thoracic duct leak: Experience in 109 patients. J. Thorac. Cardiovasc. Surg. 2010, 139, 584–590. [Google Scholar] [CrossRef] [Green Version]
  49. Cope, C.; Kaiser, L.R. Management of unremitting chylothorax by percutaneous embolization and blockage of retroperitoneal lym-phatic vessels in 42 patients. J. Vasc. Interv. Radiol. 2002, 13, 1139–1148. [Google Scholar] [CrossRef]
  50. Nadolski, G.J.; Itkin, M. Feasibility of Ultrasound-guided Intranodal Lymphangiogram for Thoracic Duct Embolization. J. Vasc. Interv. Radiol. 2012, 23, 613–616. [Google Scholar] [CrossRef]
  51. Rajebi, M.R.; Chaudry, G.; Padua, H.M.; Dillon, B.; Yilmaz, S.; Arnold, R.W.; Landrigan-Ossar, M.F.; Alomari, A.I. Intranodal Lymphangiography: Feasibility and Preliminary Experience in Children. J. Vasc. Interv. Radiol. 2011, 22, 1300–1305. [Google Scholar] [CrossRef]
  52. Von Eschenbach, A.C.; Jing, B.S.; Wallace, S. Lymphangiography in genitourinary cancer. Urol. Clin. N. Am. 1985, 12, 715–723. [Google Scholar] [CrossRef]
  53. Litwin, S.B.; Fraley, E.E.; Clouse, M.E.; Ulfelder, H. Lymphography in Patients with Pelvic Cancer. Obstet. Gynecol. 1964, 24, 809–816. [Google Scholar]
  54. Lang, J.H. Lymphangiography in ovarian cancer. Zhonghua Fu Chan Ke Za Zhi 1989, 24, 29–31. [Google Scholar] [PubMed]
  55. Baz, A.A.; Hassan, T.; Atta, A.; El Kholy, M.S. Role of contrast enhanced MRI lymphangiography in evaluation of lower extremity lymphatic vessels for patients with primary lymphedema. Egypt. J. Radiol. Nucl. Med. 2018, 49, 776–781. [Google Scholar] [CrossRef]
  56. Mazzei, F.G.; Gentili, F.; Guerrini, S.; Squitieri, N.C.; Guerrieri, D.; Gennaro, P.; Scialpi, M.; Volterrani, L.; Mazzei, M.A. MR Lymphangiography: A Practical Guide to Perform It and a Brief Review of the Literature from a Technical Point of View. BioMed. Res. Int. 2017, 2017, 2598358. [Google Scholar] [CrossRef]
  57. Derhy, S.; El Mouhadi, S.; Monnier-Cholley, L.; Menu, Y.; Becker, C.; Arrivé, L. Noncontrast Magnetic Resonance Lymphography. J. Reconstr. Microsurg. 2015, 32, 80–86. [Google Scholar] [CrossRef] [Green Version]
  58. Arrivé, L.; Derhy, S.; Dahan, B.; El Mouhadi, S.; Monnier-Cholley, L.; Menu, Y.; Becker, C. Primary lower limb lymphoedema: Classification with non-contrast MR lymphography. Eur. Radiol. 2018, 28, 291–300. [Google Scholar] [CrossRef] [PubMed]
  59. Bellin, M.F.; Lebleu, L.; Meric, J.B. Evaluation of retroperitoneal and pelvic lymph node metastases with MRI and MR lymphan-giography. Abdom Imaging 2003, 28, 155–163. [Google Scholar] [CrossRef]
  60. Harisinghani, M.G.; Barentsz, J.; Hahn, P.F.; Deserno, W.M.; Tabatabaei, S.; Van De Kaa, C.H.; De La Rosette, J.; Weissleder, R. Noninvasive Detection of Clinically Occult Lymph-Node Metastases in Prostate Cancer. N. Engl. J. Med. 2003, 348, 2491–2499. [Google Scholar] [CrossRef] [Green Version]
  61. Weissleder, R.; Elizondo, G.; Wittenberg, J.; Rabito, C.A.; Bengele, H.H.; Josephson, L. Ultrasmall superparamagnetic iron oxide: Characterization of a new class of contrast agents for MR imaging. Radiology 1990, 175, 489–493. [Google Scholar] [CrossRef]
  62. Guimaraes, R.; Clement, O.; Bittoun, J.; Carnot, F.; Frija, G. MR lymphography with superparamagnetic iron nanoparticles in rats: Pathologic basis for contrast enhancement. Am. J. Roentgenol. 1994, 162, 201–207. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Anzai, Y.; Blackwell, K.E.; Hirschowitz, S.L.; Rogers, J.W.; Sato, Y.; Yuh, W.T.; Runge, V.M.; Morris, M.R.; McLachlan, S.J.; Lufkin, R.B. Initial clinical experience with dextran-coated superparamagnetic iron oxide for detection of lymph node metastases in patients with head and neck cancer. Radiology 1994, 192, 709–715. [Google Scholar] [CrossRef] [PubMed]
  64. Pannu, H.K.; Wang, K.-P.; Borman, T.L.; Bluemke, D.A. MR imaging of mediastinal lymph nodes: Evaluation using a superparamagnetic contrast agent. J. Magn. Reson. Imaging 2000, 12, 899–904. [Google Scholar] [CrossRef]
  65. Morton, D.L.; Wen, D.-R.; Wong, J.H.; Economou, J.S.; Cagle, L.A.; Storm, F.K.; Foshag, L.J.; Cochran, A.J. Technical Details of Intraoperative Lymphatic Mapping for Early Stage Melanoma. Arch. Surg. 1992, 127, 392–399. [Google Scholar] [CrossRef]
  66. Morton, D.L.; Wen, D.R.; Foshag, L.J.; Essner, R.; Cochran, A. Intraoperative lymphatic mapping and selective cervical lymphadenectomy for early-stage melanomas of the head and neck. J. Clin. Oncol. 1993, 11, 1751–1756. [Google Scholar] [CrossRef]
  67. Albertini, J.J.; Lyman, G.H.; Cox, C.; Yeatman, T.; Balducci, L.; Ku, N.; Shivers, S.; Berman, C.; Wells, K.; Rapaport, D.; et al. Lymphatic mapping and sentinel node biopsy in the patient with breast cancer. JAMA 1996, 276, 1818–1822. [Google Scholar] [CrossRef] [PubMed]
  68. Intenzo, C.M.; Truluck, C.A.; Kushen, M.C.; Kim, S.M.; Berger, A.; Kairys, J.C. Lymphoscintigraphy in Cutaneous Melanoma: An Updated Total Body Atlas of Sentinel Node Mapping. Radiographics 2009, 29, 1125–1135. [Google Scholar] [CrossRef] [PubMed]
  69. Uren, R.F.; Howman-Giles, R.; Chung, D.; Thompson, J.F. Imaging Sentinel Lymph Nodes. Cancer J. 2015, 21, 25–32. [Google Scholar] [CrossRef]
  70. Olmos, R.A.V.; Hoefnagel, C.A.; Nieweg, O.E.; Jansen, L.; Rutgers, E.J.; Borger, J.; Horenblas, S.; Kroon, B.B. Lymphoscintigraphy in oncology: A rediscovered challenge. Eur. J. Nucl. Med. Mol. Imaging 1999, 26 (Suppl. 4), S2–S10. [Google Scholar] [CrossRef]
  71. Maza, S.; Valencia, R.; Geworski, L.; Sandrock, D.; Zander, A.; Audring, H.; Dräger, E.; Winter, H.; Sterry, W.; Munz, D.L. Influence of fast lymphatic drainage on metastatic spread in cutaneous malignant melanoma: A prospective feasibility study. Eur. J. Nucl. Med. Mol. Imaging 2003, 30, 538–544. [Google Scholar] [CrossRef]
  72. Cammilleri, S.; Jacob, T.; Rojat-Habib, M.C.; Hesse, S.; Berthet, B.; Giorgi, R.; Bonerandi, J.J.; Mundler, O. High negative predictive value of slow lymphatic drainage on metastatic node spread detection in malignant limb and trunk cutaneous melanoma. Bull Cancer 2004, 91, 10225–10228. [Google Scholar]
  73. Fujiwara, M.; Sawada, M.; Kasuya, A.; Matsushita, Y.; Yamada, M.; Fukamizu, H.; Magata, Y.; Tokura, Y.; Sakahara, H. Measurement of cutaneous lymphatic flow rates in patients with skin cancer: Area extraction method. J. Dermatol. 2014, 41, 498–504. [Google Scholar] [CrossRef] [Green Version]
  74. Smith, G.; Thrams, A.; Voslar, A. Impact of metastatic disease on transit time in sentinel node lymphoscintigraphy. J. Nucl. Med. 2021, 62 (Suppl. 1), 159. [Google Scholar]
  75. Collarino, A.; Fuoco, V.; Garganese, G.; Bouda, L.M.P.A.-; Perotti, G.; Manca, G.; Vidal-Sicart, S.; Giammarile, F.; De Geus-Oei, L.-F.; Scambia, G.; et al. Lymphoscintigraphy and sentinel lymph node biopsy in vulvar carcinoma: Update from a European expert panel. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 1261–1274. [Google Scholar] [CrossRef]
  76. Skanjeti, A.; Dhomps, A.; Paschetta, C.; Tordo, J.; Bolton, R.C.D.; Giammarile, F. Lymphoscintigraphy for Sentinel Node Mapping in Head and Neck Cancer. Semin. Nucl. Med. 2021, 51, 39–49. [Google Scholar] [CrossRef]
  77. Giammarile, F.; Bozkurt, M.F.; Cibula, D.; Pahisa, J.; Oyen, W.J.; Paredes, P.; Olmos, R.V.; Sicart, S.V. The EANM clinical and technical guidelines for lymphoscintigraphy and sentinel node localization in gynaecological cancers. Eur. J. Nucl. Med. Mol. Imaging 2014, 41, 1463–1477. [Google Scholar] [CrossRef] [PubMed]
  78. Catarci, M.; Zaraca, F.; Angeloni, R.; Mancini, B.; de Filippo, M.G.; Massa, R.; Carboni, M.; Pasquini, G. Preoperative lymphoscintigraphy and sentinel lymph node biopsy in papillary thyroid cancer. A pilot study. J. Surg. Oncol. 2001, 77, 21–24. [Google Scholar] [CrossRef] [PubMed]
  79. Wawroschek, F.; Vogt, H.; Wengenmair, H.; Weckermann, D.; Hamm, M.; Keil, M.; Graf, G.; Heidenreich, P.; Harzmann, R. Prostate Lymphoscintigraphy and Radio-Guided Surgery for Sentinel Lymph Node Identification in Prostate Cancer. Urol. Int. 2003, 70, 303–310. [Google Scholar] [CrossRef] [Green Version]
  80. Bats, A.-S.; Frati, A.; Mathevet, P.; Orliaguet, I.; Querleu, D.; Zerdoud, S.; Leblanc, E.; Gauthier, H.; Uzan, C.; Deandreis, D.; et al. Contribution of lymphoscintigraphy to intraoperative sentinel lymph node detection in early cervical cancer: Analysis of the prospective multicenter SENTICOL cohort. Gynecol. Oncol. 2015, 137, 264–269. [Google Scholar] [CrossRef] [PubMed]
  81. Quartuccio, N.; Garau, M.L.; Arnone, A.; Pappalardo, M.; Rubello, D.; Arnone, G.; Manca, G. Comparison of 99m TC-Labeled Colloid SPECT/CT and Planar Lymphoscintigraphy in Sentinel Lymph Node Detection in Patients with Melanoma: A Meta-Analysis. J. Clin. Med. 2020, 9, 1680. [Google Scholar] [CrossRef] [PubMed]
  82. Kwak, J.J.; Kesner, A.L.; Gleisner, A.; Jensen, A.; Friedman, C.; McCarter, M.D.; Koo, P.J.; Morgan, R.; Kounalakis, N. Utility of Quantitative SPECT/CT Lymphoscintigraphy in Guiding Sentinel Lymph Node Biopsy in Head and Neck Melanoma. Ann. Surg. Oncol. 2019, 27, 1432–1438. [Google Scholar] [CrossRef] [PubMed]
  83. Chahid, Y.; Qiu, X.; van de Garde, E.M.W.; Verberne, H.J.; Booij, J. Risk factors for nonvisualization of the sentinel lymph node on lymphoscintigraphy in breast cancer patients. EJNMMI Res. 2021, 11, 54. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Diagrammatic illustration of the anatomy and physiology of the lymphatic system. (A) The blind end lymphatic capillaries that drain in the pre-collecting lymphatic vessels. Lymph is then transferred to the collecting lymphatic vessels and get filtered by the lymph nodes. All lymph from the human body ends in the systemic venous system through either the thoracic duct or right lymphatic duct. (B) The effect on increased interstitial pressure on the loose junctions between lymphatic endothelial cells, leading to increased transmission of the interstitial fluid and proteins to the lymphatic capillaries and pre-collecting lymphatic vessels (dashed arrows). “Created by BioRender.com. accessed on 10 August 2021”.
Figure 1. Diagrammatic illustration of the anatomy and physiology of the lymphatic system. (A) The blind end lymphatic capillaries that drain in the pre-collecting lymphatic vessels. Lymph is then transferred to the collecting lymphatic vessels and get filtered by the lymph nodes. All lymph from the human body ends in the systemic venous system through either the thoracic duct or right lymphatic duct. (B) The effect on increased interstitial pressure on the loose junctions between lymphatic endothelial cells, leading to increased transmission of the interstitial fluid and proteins to the lymphatic capillaries and pre-collecting lymphatic vessels (dashed arrows). “Created by BioRender.com. accessed on 10 August 2021”.
Cancers 13 04554 g001
Figure 2. Diagrammatic illustration of the superficial inguinal lymph nodes anatomy. The superficial inguinal lymph nodes are inferior to the inguinal ligament and divided in five groups by the greater saphenous vein (GSV) and a horizontal line through the saphenofemoral junction (SFJ). The five groups are superior medial (1), superior lateral (2), inferior lateral (3), inferior medial (4), and central group that overlies the SFJ. FV: femoral vein. The inferolateral group receives most of the lymphatic drainage of the lower extremity. “Created by BioRender.com. accessed on 10 August 2021”.
Figure 2. Diagrammatic illustration of the superficial inguinal lymph nodes anatomy. The superficial inguinal lymph nodes are inferior to the inguinal ligament and divided in five groups by the greater saphenous vein (GSV) and a horizontal line through the saphenofemoral junction (SFJ). The five groups are superior medial (1), superior lateral (2), inferior lateral (3), inferior medial (4), and central group that overlies the SFJ. FV: femoral vein. The inferolateral group receives most of the lymphatic drainage of the lower extremity. “Created by BioRender.com. accessed on 10 August 2021”.
Cancers 13 04554 g002
Figure 3. Axial contrast-enhanced computed tomography of the right hemipelvis demonstrates the right external iliac artery and veins with associated lateral (1), middle (2), and medial (3) external iliac lymph nodes. “Created by BioRander.com. accessed on 10 August 2021”.
Figure 3. Axial contrast-enhanced computed tomography of the right hemipelvis demonstrates the right external iliac artery and veins with associated lateral (1), middle (2), and medial (3) external iliac lymph nodes. “Created by BioRander.com. accessed on 10 August 2021”.
Cancers 13 04554 g003
Figure 4. Axial contrast-enhanced computed tomography of the pelvis shows the anterior internal iliac lymph node group (1) that follows the course of the internal iliac artery anterior division, the lateral sacral lymph node group (2) that runs along the lateral sacral artery, and the presacral lymph nodes (3) that lies in the midline presacral region. “Created by BioRander.com. accessed on 10 August 2021”.
Figure 4. Axial contrast-enhanced computed tomography of the pelvis shows the anterior internal iliac lymph node group (1) that follows the course of the internal iliac artery anterior division, the lateral sacral lymph node group (2) that runs along the lateral sacral artery, and the presacral lymph nodes (3) that lies in the midline presacral region. “Created by BioRander.com. accessed on 10 August 2021”.
Cancers 13 04554 g004
Figure 5. Axial contrast-enhanced CT of the upper pelvis at the level of the common iliac vessels shows the common iliac artery and vein. The lateral common iliac lymph node subgroup (1) is located lateral to the common iliac artery, while the medial subgroup (2) is medial to the common iliac artery. The middle subgroup (3) is in the lumbosacral fossa. “Created by BioRender.com. accessed on 10 August 2021”.
Figure 5. Axial contrast-enhanced CT of the upper pelvis at the level of the common iliac vessels shows the common iliac artery and vein. The lateral common iliac lymph node subgroup (1) is located lateral to the common iliac artery, while the medial subgroup (2) is medial to the common iliac artery. The middle subgroup (3) is in the lumbosacral fossa. “Created by BioRender.com. accessed on 10 August 2021”.
Cancers 13 04554 g005
Figure 6. Axial contrast-enhanced CT of the abdomen (A) demonstrates the distribution of the peri-aortic lymph nodes: 1; pre-aortic, 2; left lateral aortic, 3; right lateral aortic, and 4; post-aortic. Sagittal contrast-enhanced CT of the abdomen (B) shows the distribution of the pre-aortic lymph nodes along the origins of the visceral branches of the aorta (celiac, superior mesenteric, and the inferior mesenteric arteries). “Created by BioRender.com. accessed on 10 August 2021”.
Figure 6. Axial contrast-enhanced CT of the abdomen (A) demonstrates the distribution of the peri-aortic lymph nodes: 1; pre-aortic, 2; left lateral aortic, 3; right lateral aortic, and 4; post-aortic. Sagittal contrast-enhanced CT of the abdomen (B) shows the distribution of the pre-aortic lymph nodes along the origins of the visceral branches of the aorta (celiac, superior mesenteric, and the inferior mesenteric arteries). “Created by BioRender.com. accessed on 10 August 2021”.
Cancers 13 04554 g006
Figure 7. Diagrammatic illustration of the lymphatic drainage of the whole human body. The right upper extremity, right hemiface, and right hemithorax are drained by the right lymphatic duct (green-colored). The thoracic duct drains the rest of the human body.
Figure 7. Diagrammatic illustration of the lymphatic drainage of the whole human body. The right upper extremity, right hemiface, and right hemithorax are drained by the right lymphatic duct (green-colored). The thoracic duct drains the rest of the human body.
Cancers 13 04554 g007
Figure 8. Ultrasound of a benign-appearing cervical lymph node (A) shows an oval hypoechoic lymph node with echogenic fatty hilum (arrow). Color doppler ultrasound of another benign-appearing lymph node (B) demonstrates a fatty hilum (normal) with mild hilar vascularity (arrow).
Figure 8. Ultrasound of a benign-appearing cervical lymph node (A) shows an oval hypoechoic lymph node with echogenic fatty hilum (arrow). Color doppler ultrasound of another benign-appearing lymph node (B) demonstrates a fatty hilum (normal) with mild hilar vascularity (arrow).
Cancers 13 04554 g008
Figure 9. Ultrasound of the right axilla (A) demonstrates multiple, round, and hypoechoic metastatic lymph nodes with S/L axis ratio of approximately 1 and lack of the echogenic fatty hilum. Color Doppler ultrasound of the axillary lymph (B) nodes shows peripheral vascularity (arrow).
Figure 9. Ultrasound of the right axilla (A) demonstrates multiple, round, and hypoechoic metastatic lymph nodes with S/L axis ratio of approximately 1 and lack of the echogenic fatty hilum. Color Doppler ultrasound of the axillary lymph (B) nodes shows peripheral vascularity (arrow).
Cancers 13 04554 g009
Figure 10. Doppler ultrasound of a right inguinal metastatic lymph node in a 67-year-old male with history of right ankle melanoma shows an enlarged hypoechoic lymph node with mixed (hilar and peripheral) vascularity.
Figure 10. Doppler ultrasound of a right inguinal metastatic lymph node in a 67-year-old male with history of right ankle melanoma shows an enlarged hypoechoic lymph node with mixed (hilar and peripheral) vascularity.
Cancers 13 04554 g010
Figure 11. A 61-year-old female patient with history of gastric cancer. PET/CT scan demonstrates diffuse thickening of the gastro-esophageal region as well as the gastric cardia (arrow) (A) consistent with gastric carcinoma, which is FDG-avid (arrow) with maximum SUV = 11.6 (B). There is no focal abnormal metabolic activity to suggest distant metastatic spread or regional lymphadenopathy.
Figure 11. A 61-year-old female patient with history of gastric cancer. PET/CT scan demonstrates diffuse thickening of the gastro-esophageal region as well as the gastric cardia (arrow) (A) consistent with gastric carcinoma, which is FDG-avid (arrow) with maximum SUV = 11.6 (B). There is no focal abnormal metabolic activity to suggest distant metastatic spread or regional lymphadenopathy.
Cancers 13 04554 g011
Figure 12. A 77-year-old male patient with gastric cancer. PET/CT scan demonstrates marked thickening of the gastric antrum with increased uptake (A,B) consistent with gastric carcinoma, maximum SUV = 8.7 (B). Enlarging metastatic adenopathy in the gastrohepatic ligament is also noted (C,D), not hypermetabolic on PET/CT.
Figure 12. A 77-year-old male patient with gastric cancer. PET/CT scan demonstrates marked thickening of the gastric antrum with increased uptake (A,B) consistent with gastric carcinoma, maximum SUV = 8.7 (B). Enlarging metastatic adenopathy in the gastrohepatic ligament is also noted (C,D), not hypermetabolic on PET/CT.
Cancers 13 04554 g012
Figure 13. Axial fused PET-CT (A) and non-contrast CT of the abdomen shows mildly enlarged right paraaortic lymph node with increased FDG avidity on PET-CT (SUVmax 5.7), (B) biopsy proven Hodgkin lymphoma.
Figure 13. Axial fused PET-CT (A) and non-contrast CT of the abdomen shows mildly enlarged right paraaortic lymph node with increased FDG avidity on PET-CT (SUVmax 5.7), (B) biopsy proven Hodgkin lymphoma.
Cancers 13 04554 g013
Figure 14. A 65-year-old male patient with right lower lobe lung cancer. The pulmonary mass seen in (A) shows avid FDG uptake (SUV = 4.6) in (C). Right hilar and subcarinal lymph nodes show mild FDG uptake (SUV = 2.6), which was found later to be inflammatory due to chemotherapy, resolving on (B,D). This is an example of false positive uptake in nonmalignant tissue.
Figure 14. A 65-year-old male patient with right lower lobe lung cancer. The pulmonary mass seen in (A) shows avid FDG uptake (SUV = 4.6) in (C). Right hilar and subcarinal lymph nodes show mild FDG uptake (SUV = 2.6), which was found later to be inflammatory due to chemotherapy, resolving on (B,D). This is an example of false positive uptake in nonmalignant tissue.
Cancers 13 04554 g014
Figure 15. A 75-year-old female patient with abdominal leiomyosarcoma and chylous ascites. (A) Conventional lymphangiography was performed through the right pedal approach. The right inguinal lymphatic vessels are opacified (arrow) with subsequent opacification of the right pelvic lymphatic network (B,C). Noncontrast CT performed after lymphangiography shows ascending opacification of the lymphatic vessels and cisterna chyle (D). Estimated site of leakage appears from small lymphatic vessels in the left peri-aortic region at level of L3 (E).
Figure 15. A 75-year-old female patient with abdominal leiomyosarcoma and chylous ascites. (A) Conventional lymphangiography was performed through the right pedal approach. The right inguinal lymphatic vessels are opacified (arrow) with subsequent opacification of the right pelvic lymphatic network (B,C). Noncontrast CT performed after lymphangiography shows ascending opacification of the lymphatic vessels and cisterna chyle (D). Estimated site of leakage appears from small lymphatic vessels in the left peri-aortic region at level of L3 (E).
Cancers 13 04554 g015
Figure 16. A 39-year-old male patient who underwent surgical resection of esophageal leiomyoma complicated by persistent chylous effusion. Successful percutaneous fluoroscopic-guided thoracic duct embolization using embolization coils. (A) Bilateral conventional lymphangiography was done through inguinal lymph nodes (arrowheads) with lymphatic vessels opacification (arrow). (B) Subsequent opacification of the lymphatic network and deep lymph nodes (arrow). (C) After 81 min, opacification of the cisterna chyle occurred (arrow). (D) Deployment of 3 embolization coils (white arrow) in the thoracic duct proximal to the estimated site of leak (arrowhead—surgical clips from previous operations).
Figure 16. A 39-year-old male patient who underwent surgical resection of esophageal leiomyoma complicated by persistent chylous effusion. Successful percutaneous fluoroscopic-guided thoracic duct embolization using embolization coils. (A) Bilateral conventional lymphangiography was done through inguinal lymph nodes (arrowheads) with lymphatic vessels opacification (arrow). (B) Subsequent opacification of the lymphatic network and deep lymph nodes (arrow). (C) After 81 min, opacification of the cisterna chyle occurred (arrow). (D) Deployment of 3 embolization coils (white arrow) in the thoracic duct proximal to the estimated site of leak (arrowhead—surgical clips from previous operations).
Cancers 13 04554 g016
Figure 17. A 68-year-old male with melanoma in the right temporal region who underwent lymphoscintigraphy (A) and complementary SPECT/CT scan in the coronal plane (B); (C,D) show CT (left) and fused SPECT/CT images (right) for sentinel lymph nodes mapping. Intradermal injection of the TC99m sulfur colloid in the right temple (arrow in (B)) shows tracer uptake in the pre-auricular region (arrowhead in (C)) and intra-parotid region (arrowhead in (D)), consistent with sentinel lymph drainage.
Figure 17. A 68-year-old male with melanoma in the right temporal region who underwent lymphoscintigraphy (A) and complementary SPECT/CT scan in the coronal plane (B); (C,D) show CT (left) and fused SPECT/CT images (right) for sentinel lymph nodes mapping. Intradermal injection of the TC99m sulfur colloid in the right temple (arrow in (B)) shows tracer uptake in the pre-auricular region (arrowhead in (C)) and intra-parotid region (arrowhead in (D)), consistent with sentinel lymph drainage.
Cancers 13 04554 g017
Figure 18. A 76-year-old male patient with a history of tongue base cancer status post-chemoradiation and left upper extremity lympho-venous bypass due to swelling of his left arm. Lymphoscintigraphy was performed by injection of sulfur colloid (radiotracer) into both hands. (A) The patient position. (B) Right anterior scintigraphy position with accumulation of tracer in both hands and tracer uptake in the right arm (black arrow). (C,D) Fused SPECT/CT with transit of tracer via proximal arm LN (white arrow in (C)) to reach lymph nodes at right axilla (white arrow (D)) with absence of any tracer uptake in the whole left upper extremity, confirming normal lymphatic drainage of the right arm with lymphedema of the left arm.
Figure 18. A 76-year-old male patient with a history of tongue base cancer status post-chemoradiation and left upper extremity lympho-venous bypass due to swelling of his left arm. Lymphoscintigraphy was performed by injection of sulfur colloid (radiotracer) into both hands. (A) The patient position. (B) Right anterior scintigraphy position with accumulation of tracer in both hands and tracer uptake in the right arm (black arrow). (C,D) Fused SPECT/CT with transit of tracer via proximal arm LN (white arrow in (C)) to reach lymph nodes at right axilla (white arrow (D)) with absence of any tracer uptake in the whole left upper extremity, confirming normal lymphatic drainage of the right arm with lymphedema of the left arm.
Cancers 13 04554 g018
Table 1. US and Doppler features of benign and malignant lymph nodes. There is no sole criterion to define malignant lymph nodes. Constellation of multiple features suggest malignancy. Additionally, significant overlap between reactive and malignant lymphadenopathy remains.
Table 1. US and Doppler features of benign and malignant lymph nodes. There is no sole criterion to define malignant lymph nodes. Constellation of multiple features suggest malignancy. Additionally, significant overlap between reactive and malignant lymphadenopathy remains.
US CriteriaBenign Lymph NodeMalignant Lymph Node
Size<1 cm in short axis≥1 cm in short axis
ShapeOval or ellipticalRound
BorderIndistinctSharp
EchogenicityHypoechoicVery hypoechoic
HilumMaintained fatty hilumAbsent fatty hilum
VascularityAvascular or hilar vascularityPeripheral or mixed
Resistive indexLowHigh
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Elshikh, M.; Moawad, A.W.; Salem, U.; Klimkowski, S.P.; Hassan, T.; Rao Korivi, B.; Jensen, C.T.; Javadi, S.; Elsayes, K.M. Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon. Cancers 2021, 13, 4554. https://doi.org/10.3390/cancers13184554

AMA Style

Elshikh M, Moawad AW, Salem U, Klimkowski SP, Hassan T, Rao Korivi B, Jensen CT, Javadi S, Elsayes KM. Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon. Cancers. 2021; 13(18):4554. https://doi.org/10.3390/cancers13184554

Chicago/Turabian Style

Elshikh, Mohamed, Ahmed W Moawad, Usama Salem, Sergio P Klimkowski, Talaat Hassan, Brinda Rao Korivi, Corey T Jensen, Sanaz Javadi, and Khaled M Elsayes. 2021. "Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon" Cancers 13, no. 18: 4554. https://doi.org/10.3390/cancers13184554

APA Style

Elshikh, M., Moawad, A. W., Salem, U., Klimkowski, S. P., Hassan, T., Rao Korivi, B., Jensen, C. T., Javadi, S., & Elsayes, K. M. (2021). Oncologic Imaging of the Lymphatic System: Current Perspective with Multi-Modality Imaging and New Horizon. Cancers, 13(18), 4554. https://doi.org/10.3390/cancers13184554

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop