Next Article in Journal
Development of PCL PolyHIPE Substrates for 3D Breast Cancer Cell Culture
Next Article in Special Issue
Global Compressive Loading from an Ultra-Thin PEEK Button Augment Enhances Fibrocartilage Regeneration of Rotator Cuff Enthesis
Previous Article in Journal
Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms
Previous Article in Special Issue
Tissue Integration of Calcium Phosphate Compound after Subchondroplasty: 4-Year Follow-Up in a 76-Year-Old Female Patient
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research

Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei St. 98, H-4032 Debrecen, Hungary
*
Author to whom correspondence should be addressed.
Bioengineering 2023, 10(5), 521; https://doi.org/10.3390/bioengineering10050521
Submission received: 12 March 2023 / Revised: 17 April 2023 / Accepted: 23 April 2023 / Published: 25 April 2023

Abstract

:
Until now, very few efforts have been made to specifically trace, monitor, and visualize implantations, artificial organs, and bioengineered scaffolds for tissue engineering in vivo. While mainly X-Ray, CT, and MRI methods have been used for this purpose, the applications of more sensitive, quantitative, specific, radiotracer-based nuclear imaging techniques remain a challenge. As the need for biomaterials increases, so does the need for research tools to evaluate host responses. PET (positron emission tomography) and SPECT (single photon emission computer tomography) techniques are promising tools for the clinical translation of such regenerative medicine and tissue engineering efforts. These tracer-based methods offer unique and inevitable support, providing specific, quantitative, visual, non-invasive feedback on implanted biomaterials, devices, or transplanted cells. PET and SPECT can improve and accelerate these studies through biocompatibility, inertivity, and immune-response evaluations over long investigational periods at high sensitivities with low limits of detection. The wide range of radiopharmaceuticals, the newly developed specific bacteria, and the inflammation of specific or fibrosis-specific tracers as well as labeled individual nanomaterials can represent new, valuable tools for implant research. This review aims to summarize the opportunities of nuclear-imaging-supported implant research, including bone, fibrosis, bacteria, nanoparticle, and cell imaging, as well as the latest cutting-edge pretargeting methods.

Graphical Abstract

1. Introduction

Single photon emission computed tomography (SPECT) and positron emission tomography (PET) represent the mainstream non-invasive diagnostic tools at hand in the field of nuclear medicine. Applying selective radiopharmaceuticals (radiotracers), SPECT, and PET purvey three dimensional (3D) visual and quantitative information on specific molecular targets. The success of nuclear molecular imaging in medicine and biomedical research is reinforced by its multifunctional capabilities and multidisciplinary nature. One of the greatest technological advancements was the combination of the mentioned nuclear–medical imaging systems with either conventional computed tomography (CT) or magnetic resonance imaging (MRI) modalities, rendering the possibility of the simultaneous acquisition of both anatomical/morphological and functional information. Preclinical research units utilize miniaturized equivalents of these hybrid systems including SPECT or PET composed of CT or, more recently, MRI (mini/µ SPECT/CT, PET/CT, SPECT/MRI, and PET/MRI hybrid devices) explicitly designed for the accomplishment of small animal investigations. The latest translational hybrid µSPECT/CT/MRI and µPET/CT/MRI devices merge the highest morphological contrasts of MRI or CT and the maximal sensitivity of real-time functional PET or SPECT imaging. With their aid, the quantitative, high-resolution monitoring and visualization of novel molecular targets or the biodistribution of potential drug candidates becomes feasible [1,2].
In nuclear imaging, various radiotracers are employed that are pharmaceutical drugs or biomolecule analogues labelled with radioactive isotopes. Since radiopharmaceuticals do not exert any effect on either the biochemical or physiological processes of the subject, the evaluated biological phenomena and mechanisms could be observed in a non-invasive manner. Currently, a vast array of radiopharmaceuticals targeting a wide spectrum of diseases and biomarkers are in routine clinical usage in medical centers worldwide. However, despite the broad availability of imaging tools, very little effort has been made thus far to apply them to the follow-up of implants. Nuclear imaging modalities would serve as a magic bullet in the non-invasive, in situ evaluation and in-depth understanding of the interactions of tissues and body fluids with biomaterials as well as medical devices. While post-implantation in vivo imaging is restricted mainly to MRI and CT, the integration of more sensitive, quantitative, specific radiotracer-based SPECT and PET assistance into existing clinical paths still remains a challenge.
In the present review, we provide a detailed overview of implant- and biomaterial-relevant imaging modalities and the spectrum of the currently available diagnostic radiopharmaceuticals. The review first presents the most authentic modality, bone imaging, followed by infection, inflammation, biofilm, and fibrosis imaging techniques and relevant radiotracers. In the second half, we present the latest state-of-the-art molecular imaging techniques that may be relevant in implant research, including cell and nanoparticle imaging options, pretargeting supported custom biomaterial tracking opportunities, and related radiotheranostic and radiotherapeutic tools.

2. Bone Imaging: Quantitative Feedback on Bone Tissue Regeneration, Resorption, and Osseointegration

An ample number of studies have been recently centered around bone (dental) implant research, investigating the chemical, physiological, and mechanical factors related to bone tissue regeneration, bone resorption, implant osseointegration, osseoconduction, and bone remodeling. Even though SPECT and PET make the non-invasive and quantitative characterization of mineralization—associated with the growth of osteoblasts and osteoblast-like cells—on biomaterials possible, only a limited number of nuclear medicinal investigations were executed to profoundly assess the aforementioned osseus processes. Due to the strong affinity of bisphosphonates to the growing hydroxyapatite crystals on bone’s surface, all kinds of bone-related post-implantation progressions can be characterized by routinely produced bone-specific tracers.
Bone was considered metabolically inactive until Chiewitz and Hevesy showed the increased phosphorus-32 (32P) concentrations in the skeleton of rats in 1935 [3]. Radionuclide based bone imaging was first reported by Fleming and his colleagues in 1961 [4]. In their study, strontium-85 (85Sr) was encountered to be localized preferentially in areas with increased osteoblastic activity rather than in normal bone. Adding to this, the suitability of the 85Sr scan as an index of bone repair was also confirmed [4]. Applying technetium-99m-labelled phosphates (99mTc, polyphosphate, and pyrophosphate) for SPECT imaging, Subramanian and McAfee experienced improved tracer uptake in bones [5]. The key turning point in skeletal scintigraphy came with the introduction of 99mTc-labeled diphosphonates. These radiopharmaceuticals are analogues of pyrophosphates, characterized by the replacement of the P-O-P bond by a P-C-P one [6]. Given their capability to strongly attach to calcium phosphate, diphosphonates are potent inhibitors of both the crystallization of calcium phosphate and the dissolution of hydroxyapatite crystals [7]. Until now, a considerable number of diphosphonates with distinct physiological properties have been proposed in nuclear skeletal imaging, making radiolabeled-diphosphonate-based bone scintigraphy a sensitive tool for deciphering alterations in skeletal blood flow and osteoblastic activity, for example, in malignant processes and infectious diseases [8,9]. Later, in the 1990s—with the emergence of whole-body PET scanners—phosphonates were partly replaced by their PET-equivalent 18F-sodium-fluoride Na [18F]F, which offered higher resolution images with enhanced contrast [10]. Following the diffusion of stable fluoride into the skeletal extracellular matrix, at least 99% of the whole-body fluoride content was exchanged with the hydroxyl groups of the hydroxyapatite crystals on bone’s surface to form fluorapatite. Similarly to phosphonates, the pharmacokinetic and the osseous uptake of Na [18F]F was dependent upon skeletal perfusion, the exposed hydroxyapatite surface, and renal excretion [6,11,12].
Regarding implant imaging, the influence of skeletal graft proteins on the activity of bone formation (osteogenic activity) was investigated at a preclinical level in small animal systems using [99mTc]Tc-methylene diphosphonate ([99mTc]Tc-MDP). The assessment of bone metabolism was accomplished 6 weeks post-implantation by the γ-counter-based measurement of the radioactivity of the harvested organ samples. In addition to the primary hypotheses, the applicability of [99mTc]Tc-MDP as an indicator of the rate of bone formation was proved [13]. Furthermore, [99mTc]Tc-MDP seems to be valuable in the evaluation of dynamic impairments in bone metabolism around osseointegrated titanium implants prone to mechanical stress [14] or treated with growth factor [15].
Exploiting the selective chemisorption of [99mTc]Tc-MDP, the radiotracer was also applied in the in vitro quantitative assessment of the mineralization of osteoblast-like cells. For example, in a former study dealing with bone mineralization, after the selection of MC3T3 cells (osteoblast precursor cell) for culturing, the cultures were assessed both visually and quantitatively by gamma counting. In a similar vein, another study also strengthened the efficacy of [99mTc]Tc-MDP in both the in vitro and in vivo quantification and identification of the mineralization of bone tissue derived from canine adipose mesenchymal stem cells (ADMSCs) [16]. In this study, the localization of bone-differentiated stem cells containing gel scaffolds were clearly visible with [99mTc]Tc-MDP in in vivo mice xenografts (as presented in Figure 1). In addition—based on the number of synthesized minerals—the quantitative analysis revealed a significant radiotracer uptake in the slowly proliferating bone tissue.

3. Infection, Inflammation, Biofilm, and Fibrosis Imaging

Inflammation is the response to all kinds of tissue damage, caused by injury, surgical intervention, or invasion of micro-organisms [17]. In the latter case, the phenomenon is referred to as infection [17]. Taking into account that infection might occur without inflammation and inflammatory processes could take place without trauma, ischemia, neoplasm, foreign particles, device—or implant-induced microorganism influx—differentiation between bacterial infections, and aseptic inflammation became a major challenge in nuclear–medical diagnostics [17].
Inflammatory responses result in an increase in local blood supply and vascular permeability, along with the enhancement of plasma protein transudation as well as influx and glucose metabolism. Ex vivo radiolabeled inflammation-related leukocytes provide the basis for the SPECT imaging of inflammatory and infectious processes. Autologous leukocytes appended with indium-111-oxine ([111In]In-oxine, T½ = 2.8 days), later prelabelled technetium-99m-hexa-methyl-propylene-amine oxime ([99mTc]Tc-HMPAO, T½ = 6 h), have been used for leukocyte scintigraphy since the 1970s [18,19,20]. Due to the half-lives of these nuclides, tracking times of several hours were possible. Prior literature data proved that infections of prosthetic vascular grafts and cardiac implantable devices could be identified with high sensitivities with the application of [99mTc]Tc-HMPAO-tagged leukocytes [21,22]. In addition to precise lesion localization, SPECT/CT provides the opportunity to detect distant sites of diseases, for example, septic emboli [22,23]. Since infection triggers bone turnover in the hydroxyapatite matrix, the combination of leukocyte scans with radio-phosphonate-based three-phase bone scintigraphy (angiographic/perfusion, blood pool, and bone/delayed phase) in the diagnostic work-up of osteomyelitis was also employed [24].
Thereafter, enhanced glucose metabolism exhibited by the activated inflammatory cells was exploited as an alternative pathway to be imaged in the detection of infections. As the extent of inflammation is proportional to the rate of glucose consumption, accumulation of the radiolabeled glucose derivate 18F-labelled 2-fluoro-2-deoxy-glucose (2-[18F]F-FDG) allowed the PET-based detection of cellular glucose metabolism related to both inflammatory and neoplastic processes. Followed by the transmembrane glucose transporter (GLUT), catalyzed cellular uptake and phosphorylation by the hexokinase enzyme 2-[18F]F-FDG is captured inside the cell, meaning that it does not take part in further metabolic processes. As this intracellular metabolic trapping of [18F]F-FDG ensures the nuclear–medical imaging of glucose metabolism, nowadays, [18F]F-FDG embodies the most widely used, daily available gold standard radiopharmaceutical in nuclear medicine [17,25].
Extensive literature is available on the role of [18F]F-FDG PET/CT in diagnostic evaluation as well as the management of orthopaedic prosthetic implant infection [26,27]. The relatively low osseal tracer uptake along with an increased target-to-background ratio enables the precise identification of the inflamed regions [28]. In a study involving 215 patients with chronic osteomyelitis and orthopaedic implant-related infections, Wanter et al. reported that PET/CT had sensitivity specificities: a positive predictive value (PPV), a negative predictive value (NPV), and accuracies of 88%, 76%, 76% 89%, and 82%; respectively [27]. Given the high NPV of this imaging modality, unnecessary therapies and unwanted interventions could be avoided, which is pivotal regarding proper patient guidance. In addition, the tracer distribution pattern may have an impact on the choice of the appropriate surgical approach [28]. Due to semiquantification, [18F]F-FDG PET/CT could also be used for antimicrobial therapeutic response assessment, which is of critical importance from a clinical point of view [28]. Moreover, imaging with PET/CT is a potent alternative to MRI for those with metallic implants, as metalworks are not contraindicated for the performance of a PET/CT, and neither do they generate artefacts [29]. Hence, infections of vascular grafts, cardiac or implantable devices, and hip and knee protheses could also be successfully identified with mainstay [18F]F-FDG PET [30,31,32,33,34].
On the other hand, [18F]F-FDG PET may have limitations in inflammation imaging, including physiological heart and brain uptakes, background signals from blood, and interactions with blood glucose, requiring long fasting periods or special diets prior to imaging [35,36]. As a result, the use of radiotracers that selectively target inflammatory cells could greatly enhance the noninvasive detection of inflammatory activity. 68Ga-pentixafor is an agent that exhibits high affinity and selectivity for the C-X-C chemokine receptor type 4 (CXCR4), which is involved in various biological processes, including HIV entry, metastasis development, and autoimmune diseases such as rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis [37,38] In addition to the detection of various tumors, 68Ga-pentixafor proved to be a promising candidate for detecting high-risk atherosclerotic plaques that exhibit intense inflammatory reactions and hypoxic conditions [36]. CXCR4 plays a crucial role in the trafficking of inflammatory cells, mediating the homing of progenitor cells in the bone marrow, regulating their mobilization into peripheral tissues upon injury [38]. Based on its overexpression cells involved in the inflammatory process, it was proved that 68Ga-pentixafor could potentially be used for detecting inflammatory cells [39,40,41,42,43] and infections [44].
By applying newly established PET radiotracers, bacterial infections could be accurately differentiated from sterile inflammations. For example, the groundbreaking translocator protein (TSPO) affine [18F]GE180 selectively indicates inflammatory processes (neutrophils and Ly6Chi monocytes, shifting to macrophages) [45,46]. Regarding bacteria imaging, the detection of biofilm colonization on implants has been introduced. 18F-labelled maltohexaose derivate is one of the noteworthy biomolecules that selectively binds to the bacterial maltrodextrin transporter system that is not expressed by the mammalian cells; thus, it is able to uniquely indicate solely bacterial types of infections [47]. In an in vivo study conducted with a bifunctional bacteria-directed natural molecule—acting both as a 64Cu chelator and a specific ligand—demonstrated that this PET tracer is suitable for the visualization of particular bacterial populations, follow-ups of antibiotic treatment outcomes, and the tracking of bacteria in diverse biological niches [48].
Post-inflammation tissue damage may result in the fibrotic transformation of the given tissues. Fibrosis is a wound-healing process that leads to tissue repair, remodeling, and, finally, scar tissue formation. Previous literature data note that the fibroblast activation protein (FAP)—expressed in the cell membrane during fibrotic scarring—is a potential biomarker for wound healing imaging. FAP is typically present during the process of rearranging the extracellular matrix, which means it can be detected in wound healing as well as non-cancerous diseases such as chronic inflammation, arthritis, fibrosis, and ischemic heart tissue following a heart attack. As a result, FAP inhibitors (known as FAPIs) have a strong affinities not only for tumors but also for various benign pathological conditions [49,50]. Performance evaluation studies reported that FAP-targeting FAPIs labelled with 68Ga are well-suited in the imaging of various fibrotic processes (as shown in Figure 2) [51,52,53,54,55,56,57]. Today, FAPI-PET/CT unquestionably presents a distinct opportunity for both diagnostic and therapeutic strategies in the management of tumors and certain benign conditions.

4. Cell and Stem Cell Tracking

Stem-cell-related applications have emerging potential in drug discovery and regenerative medicine. A rising number of imaging modalities enables the evaluation of the characteristics, differentiation, and the location of stem cells during therapeutic usage [58,59]. As remarked above, cell radiolabeling techniques—ranging back for many years of history in relation to infection and inflammation imaging—primarily applied ex vivo labelling procedures of autologous leukocytes mostly with prelabelled lipophilic molecules that were internalized by the cells through the cell membranes. Followed by the introduction of [111In]In-oxine and [99mTc]Tc-HMPAO, several positron-emitter radionuclides have also been proposed for infection imaging, including short half-life gallium-68 (68Ga; T½ = 68 min) and fluorine-18 (18F; T½ = 110 min) [18,19,60,61,62,63,64]. Due to their half-lives, stem cell PET imaging of only short examination periods was possible using these tracers. Later on, copper-64 (64Cu) featured with a longer half-life (T½ = 12.7 h) began to emerge as a possible radiometal for radiolabeling procedures of stem cells [65,66,67]. 64Cu complexed with lipophilic tracers could be efficiently incorporated into the cells, albeit their rapid cellular efflux means a major constraint.
Provided the similarly high lipophilic character of the oxinates of the transition radiometals 68Ga and 111In, such as [68Ga]Ga-Oxinate3 and [111In]In-oxinate3, these radiopharmaceuticals are also able to easily penetrate the cell membranes. Furthermore, the oxinate of zirzonium-89 (89Zr, T½ = 78.4 h)—[89Zr]Zr(oxinate)4—has recently arose as a successful prelabelled agent for rapid cell and liposome labelling under neutral conditions. The long half-life of 89Zr, offering a biologically more meaningful prolonged cell tracking time (even one or two weeks), deserves a special mention. Given its widespread commercial availability, [89Zr]Zr(oxinate)4 was already used for the labelling of the following various cell types: tumor cell lines, bone marrow and dendritic cells, therapeutic T cells, and stem cells (seen in Figure 3) [68,69,70,71,72,73,74,75,76,77,78,79].
When selecting the appropriate isotope, the half-life of the nuclides must be taken into consideration (in addition to the imaging modality), as the tracking time is limited, especially in the case of short half-life isotopes (68Ga). Although cell radiation exposure is negligible in such preclinical studies, it is important to always consider that the radioactive labeling procedure itself does not potentially affect the cell viability and function (remains truly non-invasive). It is important to also verify the stability of cell labeling after the prelabeled agents’ internalization.

5. Nanoparticle Imaging: Tracking Drug Delivery Systems and Drug Release

Constantly evolving research and the industrial development of nanomaterials warrant the urgent need for the establishment of precise in vivo imaging systems. Given the ever-increasing spread of theranostics, comparable drug carrier systems—well suited for imaging—are advised to be proposed for the characterization, follow-up, regulation, optimization, and assessment of the pharmacokinetics of drug delivery [1]. For the realization of the future vision of image-guided regenerative therapies, bespoke medicine will require the careful matching of imaging with therapy. Currently, a broad set of chemical tools are available for the integration of effective methods for the radiolabeling of novel, individual nanovesicles. Furthermore, the proper conjugation or internalization of radiometals onto or into organic or inorganic, solid or core–shell structured, hydrophilic polymer (such as polyethylene glycol/PEG)-covered nanoparticles, or mono- and multilamellar lipid nanoparticles (NPs) could be accomplished with the easily accessible various types of bifunctional chelators (BFCs). This way, the real-time investigation of the path of nanovesicles is ensured post tracer administration (Figure 4). After dynamic PET and SPECT acquisition, organ uptake values, ex vivo biodistribution, and pharmacokinetic parameters of the labelled nanovesicles could be registered, including blood clearance or excretion times. The combination of a nuclear–medical imaging tool with CT or MRI modalities has a clear added value since these radiological tools ensure the precise localization of radiopharmaceutical accumulation. Consequently, in addition to ex vivo quantitative radioactivity measurements, the anatomical information of tracer accumulation could also be recorded with the application of SPECT/CT and/or PET/CT hybrid devices.
The following critical issues of nanosystem’s characteristics might be uncovered by PET: potential non-optimal PEG shell (too high “lost” part of particle fraction in the RES organs), inappropriately high particle size (due to aggregation), particle fraction polydispersity, or potential disintegration of the particles (early activity excretion via the kidneys and urinary tract). Furthermore, radiolabeling-based imaging might have the potential to sensitively project the effects of target-specific external stimuli such as light or magnetic fields on the investigated biomolecules, even prior to preclinical experiments [1]. The effective radioconjugation of liposomes, or organic and inorganic nanoparticles, could be executed by selecting either the BFC derivate suitable for the particle surface (shell) and the radiometal [1,71,80,81].

6. Pretargeting-Based Custom Biomaterial Imaging

Within the framework of pretargeted imaging, first, an unlabeled molecule—either receptor compounds or monoclonal antibodies—is delivered to the investigated tissue site, which could then be selectively targeted by a radiolabeled effector molecule characterized by high affinity to the receptor/antibody in vivo [82]. This two-step approach allows immediate and improved radiotracer accumulation at the targeted site (e.g., tumor tissue or potential implant), resulting in better contrast (tumor-to-background ratio) and a minor collateral radiation effect on the neighboring healthy tissues compared to the conventional targeting procedure [83]. Thus, pre-conjugated receptor molecules on biomaterials offer reproducible pretargeted imaging with rapid effector (tracer) pharmacokinetics and fast whole-body clearance of the radioactivity. The detailed method was successfully applied in several tumor-related studies that employed the noncovalent interactions between streptavidin and biotin and bispecific antibodies with radiolabeled effector hapten and oligonucleotide systems [84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99].
Click chemistry [100] enabled further exceptionally selective pretargeted imaging studies. Nuclear-imaging-related click chemistry is a modular approach in which a prelabeled agent (prosthetic group or BCF) binds to a biomolecule (e.g., a peptide or antibody) in vivo by a robust and selective click reaction. First, Tornøe et al. reported the use of a copper-catalyzed azide-alkyne cycloaddition (CuAAC) for the synthesis of a range of radiolabeled compounds, including 18F-labeled fluoro-alkylazides and 11C-labeled alkynes [101]. Later, more examples were published involving a wider range of SPECT radionuclides (99mTc) and further PET isotopes (68Ga, 64Cu, 89Zr) [82,93,102,103,104,105].
Importantly, these methods require unique biochemical and radiochemical design and development, which, inevitably, impact experimental planning and costs. In such cases, preclinical studies should be preceded by more complex in vitro investigations (concerning radiochemical stability, specificity, selectivity, etc.) to exclude potential false negatives and false positives in vivo isotopic accumulations.

7. Radiotheranostic Opportunities

Radionuclide therapy (RNT, RT) or endoradiotherpy (ERT) is a form of treatment that uses alpha or beta emitter radionuclides to selectively deliver radiation to specific tissues or cells in the body for therapeutic purposes. In contrast to conventional external beam therapies, targeted radionuclide therapy is a non-invasive approach that minimizes collateral damage to normal tissues and delivers more specific radiation to tumors or inflamed lesions [106].
Taking the above into consideration, another possibility could be the incorporation of radiotheranostic solutions. Multifunctional nanoparticles offer diverse theranostic possibilities by conjugating theranostic isotope pairs [1], forming beta emitters (lutetium-177, yttrium-90, holmium-166) or alpha-emitters (radium-223, actinium-225), labeled therapeutic equivalents of their diagnostic variants [107].
Pentixafor and FAPI radiotracers mentioned in relation to inflammations may also be considered in a theranostic approach. Pentixather is a closely related alternative to Pentixafor, and, as its theranostic pair, it was selected for the development of the first CXCR4-targeted 177Lu-labeled endoradiotherapeutic agent [108]. The effectiveness of the theranostic strategy with a 177Lu-pentioxather, followed by a 90Y-pentixather, was demonstrated in mouse models and also in clinical examples [109,110,111]. The radiotheranostic FAPI approach represented a crucial step towards in the recent years. Thus far, there have been reports on over 100 patients who have undergone various FAP-targeted oncological radionuclide therapies, applying 177Lu- and 90Y-labeled FAPI agents [112,113,114,115,116,117].

8. Conclusions

As post-implantation in vivo imaging is mainly restricted to traditional MRI and CT modalities, the implementation of more sensitive, quantitative, specific radiotracer-based SPECT and PET methods in implant imaging still remains a challenge. Given that hybrid PET/CT and SPECT/CT systems purvey specific, quantitative, visual, and non-invasive feedbacks on implanted biomaterials, devices, or transplanted cells beyond mere anatomical data—provided by CT and/or MRI—the application of such devices would represent a unique and irreplaceable tracing modality in the establishment of sustainable improvements in the field of implant imaging. Furthermore, PET and SPECT techniques offer real-time in vivo observations with prolonged investigational times at high sensitivities, supporting the evaluation of the biocompatibility, inertness, and the immune response of different concerned biomaterials. The application of the wide range of regularly produced target-selective radiopharmaceuticals, the newly developed bacteria—inflammation—fibrosis-associated specific tracers, and radiolabeled individual nanomaterials, together with state-of-the-art imaging modalities (Table 1), may open a new era in implant imaging.

Author Contributions

Conceptualization, A.P.; writing—original draft preparation, A.P.; writing—review and editing, Z.K.; supervision, G.T.; funding acquisition, G.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Polyak, A.; Ross, T.L. Nanoparticles for SPECT and PET Imaging: Towards Personalized Medicine and Theranostics. Curr. Med. Chem. 2018, 25, 4328–4353. [Google Scholar] [CrossRef] [PubMed]
  2. Cunha, L.; Horvath, I.; Ferreira, S.; Lemos, J.; Costa, P.; Vieira, D.; Veres, D.S.; Szigeti, K.; Summavielle, T.; Máthé, D.; et al. Preclinical Imaging: An Essential Ally in Modern Biosciences. Mol. Diagn. Ther. 2014, 18, 153–173. [Google Scholar] [CrossRef] [PubMed]
  3. Chiewitz, O.; Hevesy, G. Radioactive Indicators in the Study of Phosphorus Metabolism in Rats. Nature 1935, 136, 754–755. [Google Scholar] [CrossRef]
  4. Fleming, W.H.; McIlraith, J.D.; King, E.R. Photoscanning of Bone Lesions Utilizing Strontium 85. Radiology 1961, 77, 635–636. [Google Scholar] [CrossRef]
  5. Subramanian, G.; McAfee, J.G. A New Complex of 99mTc for Skeletal Imaging. Radiology 1971, 99, 192–196. [Google Scholar] [CrossRef]
  6. Blake, G.M.; Park-Holohan, S.J.; Cook, G.J.; Fogelman, I. Quantitative Studies of Bone with the Use of 18F-Fluoride and 99mTc-Methylene Diphosphonate. Semin. Nucl. Med. 2001, 31, 28–49. [Google Scholar] [CrossRef]
  7. Fleisch, H.; Russell, R.G.; Bisaz, S.; Casey, P.A.; Mühlbauer, R.C. The Influence of Pyrophosphate Analogues (Diphosphonates) on the Precipitation and Dissolution. Calcif. Tissue Res. 1968, 2, 10. [Google Scholar] [CrossRef]
  8. Lin, J.H. Bisphosphonates: A Review of Their Pharmacokinetic Properties. Bone 1996, 18, 75–85. [Google Scholar] [CrossRef]
  9. Budán, F.; Szigeti, K.; Weszl, M.; Horváth, I.; Balogh, E.; Kanaan, R.; Berényi, K.; Lacza, Z.; Máthé, D.; Gyöngyi, Z. Novel Radiomics Evaluation of Bone Formation Utilizing Multimodal (SPECT/X-Ray CT) in Vivo Imaging. PLoS ONE 2018, 13, e0204423. [Google Scholar] [CrossRef]
  10. Ahuja, K.; Sotoudeh, H.; Galgano, S.J.; Singh, R.; Gupta, N.; Gaddamanugu, S.; Choudhary, G. 18F-Sodium Fluoride PET: History, Technical Feasibility, Mechanism of Action, Normal Biodistribution, and Diagnostic Performance in Bone Metastasis Detection Compared with Other Imaging Modalities. J. Nucl. Med. Technol. 2020, 48, 9–16. [Google Scholar] [CrossRef]
  11. Hosking, D.J.; Chamberlain, M.J. Studies in Man with 18 F. Clin. Sci. 1972, 42, 153–161. [Google Scholar] [CrossRef]
  12. Whitford, G.M. Intake and Metabolism of Fluoride. Adv. Dent. Res. 1994, 8, 5–14. [Google Scholar] [CrossRef]
  13. Aspenberg, P.; Tägil, M.; Kristensson, C.; Lidin, S. Bone Graft Proteins Influence Osteoconduction. A Titanium Chamber Study in Rats. Acta Orthop. Scand. 1996, 67, 377–382. [Google Scholar] [CrossRef]
  14. Sasaki, H.; Koyama, S.; Yokoyama, M.; Yamaguchi, K.; Itoh, M.; Sasaki, K. Bone Metabolic Activity around Dental Implants under Loading Observed Using Bone Scintigraphy. Int. J. Oral Maxillofac. Implants 2008, 23, 827–834. [Google Scholar]
  15. McCracken, M.; Zinn, K.; Lemons, J.E.; Thompson, J.A.; Feldman, D. Radioimaging of Implants in Rats Using Tc-99m-MDP. Clin. Oral Implants Res. 2001, 12, 372–378. [Google Scholar] [CrossRef]
  16. Polyak, A.; Haasz, V.; Postenyi, Z.; Ivanovska, A.; Ross, T.L.; Mathe, D.; Balogh, L. Imaging of Stem Cell Differentiated Bone Implantations with [Tc-99m] Tc-MDP. J. Label. Compd. Radiopharm. 2017, 60, S275. [Google Scholar]
  17. Rennen, H.J.J.M.; Boerman, O.C.; Oyen, W.J.G.; Corstens, F.H.M. Imaging Infection/Inflammation in the New Millennium. Eur. J. Nucl. Med. 2001, 28, 241–252. [Google Scholar] [CrossRef]
  18. Thakur, M.L.; Coleman, R.E.; Welch, M.J. Indium-111-Labeled Leukocytes for the Localization of Abscesses: Preparation, Analysis, Tissue Distribution, and Comparison with Gallium-67 Citrate in Dogs. J. Lab. Clin. Med. 1977, 89, 217–228. [Google Scholar] [PubMed]
  19. Signore, A.; Jamar, F.; Israel, O.; Buscombe, J.; Martin-Comin, J.; Lazzeri, E. Clinical Indications, Image Acquisition and Data Interpretation for White Blood Cells and Anti-Granulocyte Monoclonal Antibody Scintigraphy: An EANM Procedural Guideline. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 1816–1831. [Google Scholar] [CrossRef]
  20. Palestro, C.J.; Kim, C.K.; Swyer, A.J.; Capozzi, J.D.; Solomon, R.W.; Goldsmith, S.J. Total-Hip Arthroplasty: Periprosthetic Indium-111-Labeled Leukocyte Activity and Complementary Technetium-99m-Sulfur Colloid Imaging in Suspected Infection. J. Nucl. Med. 1990, 31, 1950–1955. [Google Scholar]
  21. Liberatore, M.; Iurilli, A.P.; Ponzo, F.; Prosperi, D.; Santini, C.; Baiocchi, P.; Rizzo, L.; Speziale, F.; Fiorani, P.; Colella, A.C. Clinical Usefulness of Technetium-99m-HMPAO-Labeled Leukocyte Scan in Prosthetic Vascular Graft Infection. J. Nucl. Med. 1998, 39, 875–879. [Google Scholar] [PubMed]
  22. Erba, P.A.; Conti, U.; Lazzeri, E.; Sollini, M.; Doria, R.; De Tommasi, S.M.; Bandera, F.; Tascini, C.; Menichetti, F.; Dierckx, R.A.J.O.; et al. Added Value of 99mTc-HMPAO-Labeled Leukocyte SPECT/CT in the Characterization and Management of Patients with Infectious Endocarditis. J. Nucl. Med. 2012, 53, 1235–1243. [Google Scholar] [CrossRef] [PubMed]
  23. Litzler, P.-Y.; Manrique, A.; Etienne, M.; Salles, A.; Edet-Sanson, A.; Vera, P.; Bessou, J.-P.; Hitzel, A. Leukocyte SPECT/CT for Detecting Infection of Left-Ventricular-Assist Devices: Preliminary Results. J. Nucl. Med. 2010, 51, 1044–1048. [Google Scholar] [CrossRef]
  24. Bartel, T.B.; Kuruva, M.; Gnanasegaran, G.; Beheshti, M.; Cohen, E.J.; Weissman, A.F.; Yarbrough, T.L. SNMMI Procedure Standard for Bone Scintigraphy 4.0. J. Nucl. Med. Technol. 2018, 46, 398–404. [Google Scholar]
  25. Love, C.; Tomas, M.B.; Tronco, G.G.; Palestro, C.J. FDG PET of Infection and Inflammation. Radiographics 2005, 25, 1357–1368. [Google Scholar] [CrossRef]
  26. Shemesh, S.; Kosashvili, Y.; Groshar, D.; Bernstine, H.; Sidon, E.; Cohen, N.; Luria, T.; Velkes, S. The Value of 18-FDG PET/CT in the Diagnosis and Management of Implant-Related Infections of the Tibia: A Case Series. Injury 2015, 46, 1377–1382. [Google Scholar] [CrossRef]
  27. Wenter, V.; Müller, J.-P.; Albert, N.L.; Lehner, S.; Fendler, W.P.; Bartenstein, P.; Cyran, C.C.; Friederichs, J.; Militz, M.; Hacker, M.; et al. The Diagnostic Value of [18F]FDG PET for the Detection of Chronic Osteomyelitis and Implant-Associated Infection. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 749–761. [Google Scholar] [CrossRef]
  28. Bhoil, A.; Caw, H.; Vinjamuri, S. Role of 18F-Flurodeoxyglucose in Orthopaedic Implant-Related Infection: Review of Literature and Experience. Nucl. Med. Commun. 2019, 40, 875–887. [Google Scholar] [CrossRef]
  29. Kouijzer, I.J.E.; Scheper, H.; de Rooy, J.W.J.; Bloem, J.L.; Janssen, M.J.R.; van den Hoven, L.; Hosman, A.J.F.; Visser, L.G.; Oyen, W.J.G.; Bleeker-Rovers, C.P.; et al. The Diagnostic Value of 18F–FDG-PET/CT and MRI in Suspected Vertebral Osteomyelitis—A Prospective Study. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 798–805. [Google Scholar] [CrossRef]
  30. Basu, S.; Kwee, T.C.; Saboury, B.; Garino, J.P.; Nelson, C.L.; Zhuang, H.; Parsons, M.; Chen, W.; Kumar, R.; Salavati, A.; et al. FDG PET for Diagnosing Infection in Hip and Knee Prostheses: Prospective Study in 221 Prostheses and Subgroup Comparison with Combined (111)In-Labeled Leukocyte/(99m)Tc-Sulfur Colloid Bone Marrow Imaging in 88 Prostheses. Clin. Nucl. Med. 2014, 39, 609–615. [Google Scholar] [CrossRef]
  31. Juneau, D.; Golfam, M.; Hazra, S.; Zuckier, L.S.; Garas, S.; Redpath, C.; Bernick, J.; Leung, E.; Chih, S.; Wells, G.; et al. Positron Emission Tomography and Single-Photon Emission Computed Tomography Imaging in the Diagnosis of Cardiac Implantable Electronic Device Infection: A Systematic Review and Meta-Analysis. Circ. Cardiovasc. Imaging 2017, 10, e005772. [Google Scholar] [CrossRef]
  32. Abgral, R.; Dweck, M.R.; Trivieri, M.G.; Robson, P.M.; Karakatsanis, N.; Mani, V.; Padilla, M.; Miller, M.; Lala, A.; Sanz, J.; et al. Clinical Utility of Combined FDG-PET/MR to Assess Myocardial Disease. JACC Cardiovasc. Imaging 2017, 10, 594–597. [Google Scholar] [CrossRef]
  33. Wada, K.; Niitsuma, T.; Yamaki, T.; Masuda, A.; Ito, H.; Kubo, H.; Hara, T.; Takenoshita, S.; Takeishi, Y. Simultaneous Cardiac Imaging to Detect Inflammation and Scar Tissue with (18)F-Fluorodeoxyglucose PET/MRI in Cardiac Sarcoidosis. J. Nucl. Cardiol. 2016, 23, 1180–1182. [Google Scholar] [CrossRef]
  34. Einspieler, I.; Thürmel, K.; Pyka, T.; Eiber, M.; Wolfram, S.; Moog, P.; Reeps, C.; Essler, M. Imaging Large Vessel Vasculitis with Fully Integrated PET/MRI: A Pilot Study. Eur. J. Nucl. Med. Mol. Imaging 2015, 42, 1012–1024. [Google Scholar] [CrossRef]
  35. Bucerius, J.; Hyafil, F.; Verberne, H.J.; Slart, R.H.J.A.; Lindner, O.; Sciagra, R.; Agostini, D.; Übleis, C.; Gimelli, A.; Hacker, M.; et al. Position Paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM) on PET Imaging of Atherosclerosis. Eur. J. Nucl. Med. Mol. Imaging 2016, 43, 780–792. [Google Scholar] [CrossRef]
  36. Hyafil, F.; Pelisek, J.; Laitinen, I.; Schottelius, M.; Mohring, M.; Döring, Y.; van der Vorst, E.P.C.; Kallmayer, M.; Steiger, K.; Poschenrieder, A.; et al. Imaging the Cytokine Receptor CXCR4 in Atherosclerotic Plaques with the Radiotracer 68Ga-Pentixafor for PET. J. Nucl. Med. 2017, 58, 499–506. [Google Scholar] [CrossRef]
  37. Gourni, E.; Demmer, O.; Schottelius, M.; D’Alessandria, C.; Schulz, S.; Dijkgraaf, I.; Schumacher, U.; Schwaiger, M.; Kessler, H.; Wester, H.-J. PET of CXCR4 Expression by a 68Ga-Labeled Highly Specific Targeted Contrast Agent. J. Nucl. Med. 2011, 52, 1803–1810. [Google Scholar] [CrossRef]
  38. Döring, Y.; Pawig, L.; Weber, C.; Noels, H. The CXCL12/CXCR4 Chemokine Ligand/Receptor Axis in Cardiovascular Disease. Front. Physiol. 2014, 5, 212. [Google Scholar] [CrossRef]
  39. Toczek, J.; Riou, L. Considerations on PET/MR Imaging of Carotid Plaque Inflammation with 68Ga-Pentixafor. J. Nucl. Cardiol. 2022, 29, 503–505. [Google Scholar] [CrossRef]
  40. Li, X.; Heber, D.; Leike, T.; Beitzke, D.; Lu, X.; Zhang, X.; Wei, Y.; Mitterhauser, M.; Wadsak, W.; Kropf, S.; et al. [68Ga]Pentixafor-PET/MRI for the Detection of Chemokine Receptor 4 Expression in Atherosclerotic Plaques. Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 558–566. [Google Scholar] [CrossRef]
  41. Kircher, M.; Tran-Gia, J.; Kemmer, L.; Zhang, X.; Schirbel, A.; Werner, R.A.; Buck, A.K.; Wester, H.-J.; Hacker, M.; Lapa, C.; et al. Imaging Inflammation in Atherosclerosis with CXCR4-Directed 68Ga-Pentixafor PET/CT: Correlation with 18F-FDG PET/CT. J. Nucl. Med. 2020, 61, 751–756. [Google Scholar] [CrossRef] [PubMed]
  42. Lu, X.; Calabretta, R.; Wadsak, W.; Haug, A.R.; Mayerhöfer, M.; Raderer, M.; Zhang, X.; Li, J.; Hacker, M.; Li, X. Imaging Inflammation in Atherosclerosis with CXCR4-Directed [68Ga]PentixaFor PET/MRI—Compared with [18F]FDG PET/MRI. Life 2022, 12, 1039. [Google Scholar] [CrossRef] [PubMed]
  43. Lawal, I.O.; Popoola, G.O.; Mahapane, J.; Kaufmann, J.; Davis, C.; Ndlovu, H.; Maserumule, L.C.; Mokoala, K.M.G.; Bouterfa, H.; Wester, H.-J.; et al. [68Ga]Ga-Pentixafor for PET Imaging of Vascular Expression of CXCR-4 as a Marker of Arterial Inflammation in HIV-Infected Patients: A Comparison with 18F[FDG] PET Imaging. Biomolecules 2020, 10, 1629. [Google Scholar] [CrossRef] [PubMed]
  44. Bouter, C.; Meller, B.; Sahlmann, C.O.; Staab, W.; Wester, H.J.; Kropf, S.; Meller, J. 68Ga-Pentixafor PET/CT Imaging of Chemokine Receptor CXCR4 in Chronic Infection of the Bone: First Insights. J. Nucl. Med. 2018, 59, 320–326. [Google Scholar] [CrossRef]
  45. Buchert, R.; Dirks, M.; Schütze, C.; Wilke, F.; Mamach, M.; Wirries, A.-K.; Pflugrad, H.; Hamann, L.; Langer, L.B.N.; Wetzel, C.; et al. Reliable Quantification of 18F-GE-180 PET Neuroinflammation Studies Using an Individually Scaled Population-Based Input Function or Late Tissue-to-Blood Ratio. Eur. J. Nucl. Med. Mol. Imaging 2020, 47, 2887–2900. [Google Scholar] [CrossRef]
  46. Hermanns, N.; Wroblewski, V.; Bascuñana, P.; Wolf, B.; Polyak, A.; Ross, T.L.; Bengel, F.M.; Thackeray, J.T. Molecular Imaging of the Brain–Heart Axis Provides Insights into Cardiac Dysfunction after Cerebral Ischemia. Basic Res. Cardiol. 2022, 117, 52. [Google Scholar] [CrossRef]
  47. Gowrishankar, G.; Namavari, M.; Jouannot, E.B.; Hoehne, A.; Reeves, R.; Hardy, J.; Gambhir, S.S. Investigation of 6-[18F]-Fluoromaltose as a Novel PET Tracer for Imaging Bacterial Infection. PLoS ONE 2014, 9, e107951. [Google Scholar] [CrossRef]
  48. Siddiqui, N.A.; Houson, H.A.; Kamble, N.S.; Blanco, J.R.; O’Donnell, R.E.; Hassett, D.J.; Lapi, S.E.; Kotagiri, N. Leveraging Copper Import by Yersiniabactin Siderophore System for Targeted PET Imaging of Bacteria. JCI Insight 2021, 6, e144880. [Google Scholar] [CrossRef]
  49. Garin-Chesa, P.; Old, L.J.; Rettig, W.J. Cell Surface Glycoprotein of Reactive Stromal Fibroblasts as a Potential Antibody Target in Human Epithelial Cancers. Proc. Natl. Acad. Sci. USA 1990, 87, 7235–7239. [Google Scholar] [CrossRef]
  50. Hamson, E.J.; Keane, F.M.; Tholen, S.; Schilling, O.; Gorrell, M.D. Understanding Fibroblast Activation Protein (FAP): Substrates, Activities, Expression and Targeting for Cancer Therapy. Proteom.–Clin. Appl. 2014, 8, 454–463. [Google Scholar] [CrossRef]
  51. Loktev, A.; Lindner, T.; Burger, E.M.; Altmann, A.; Giesel, F.; Kratochwil, C.; Debus, J.; Marmé, F.; Jäger, D.; Mier, W.; et al. Development of Fibroblast Activation Protein-Targeted Radiotracers with Improved Tumor Retention. J. Nucl. Med. 2019, 60, 1421–1429. [Google Scholar] [CrossRef] [PubMed]
  52. Langer, L.B.N.; Hess, A.; Korkmaz, Z.; Tillmanns, J.; Reffert, L.M.; Bankstahl, J.P.; Bengel, F.M.; Thackeray, J.T.; Ross, T.L. Molecular Imaging of Fibroblast Activation Protein after Myocardial Infarction Using the Novel Radiotracer [(68)Ga]MHLL1. Theranostics 2021, 11, 7755–7766. [Google Scholar] [CrossRef] [PubMed]
  53. Zhou, Y.; Yang, X.; Liu, H.; Luo, W.; Liu, H.; Lv, T.; Wang, J.; Qin, J.; Ou, S.; Chen, Y. Value of [(68)Ga]Ga-FAPI-04 Imaging in the Diagnosis of Renal Fibrosis. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 3493–3501. [Google Scholar] [CrossRef] [PubMed]
  54. Röhrich, M.; Leitz, D.; Glatting, F.M.; Wefers, A.K.; Weinheimer, O.; Flechsig, P.; Kahn, N.; Mall, M.A.; Giesel, F.L.; Kratochwil, C.; et al. Fibroblast Activation Protein-Specific PET/CT Imaging in Fibrotic Interstitial Lung Diseases and Lung Cancer: A Translational Exploratory Study. J. Nucl. Med. 2022, 63, 127–133. [Google Scholar] [CrossRef]
  55. Dendl, K.; Koerber, S.A.; Kratochwil, C.; Cardinale, J.; Finck, R.; Dabir, M.; Novruzov, E.; Watabe, T.; Kramer, V.; Choyke, P.L.; et al. FAP and FAPI-PET/CT in Malignant and Non-Malignant Diseases: A Perfect Symbiosis? Cancers 2021, 13, 4946. [Google Scholar] [CrossRef]
  56. Zhao, L.; Gu, J.; Fu, K.; Lin, Q.; Chen, H. 68Ga-FAPI PET/CT in Assessment of Liver Nodules in a Cirrhotic Patient. Clin. Nucl. Med. 2020, 45, e430–e432. [Google Scholar] [CrossRef]
  57. Guo, W.; Pang, Y.; Yao, L.; Zhao, L.; Fan, C.; Ke, J.; Guo, P.; Hao, B.; Fu, H.; Xie, C. Imaging Fibroblast Activation Protein in Liver Cancer: A Single-Center Post Hoc Retrospective Analysis to Compare [68Ga] Ga-FAPI-04 PET/CT versus MRI and [18F]-FDG PET/CT. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 1604–1617. [Google Scholar] [CrossRef]
  58. Fox, I.J.; Daley, G.Q.; Goldman, S.A.; Huard, J.; Kamp, T.J.; Trucco, M. Stem Cell Therapy. Use of Differentiated Pluripotent Stem Cells as Replacement Therapy for Treating Disease. Science 2014, 345, 1247391. [Google Scholar] [CrossRef]
  59. Wang, J.; Jokerst, J.V. Stem Cell Imaging: Tools to Improve Cell Delivery and Viability. Stem Cells Int. 2016, 2016, 9240652. [Google Scholar] [CrossRef]
  60. Dudhia, J.; Becerra, P.; Valdés, M.A.; Neves, F.; Hartman, N.G.; Smith, R.K.W. In Vivo Imaging and Tracking of Technetium-99m Labeled Bone Marrow Mesenchymal Stem Cells in Equine Tendinopathy. J. Vis. Exp. 2015, 106, e52748. [Google Scholar] [CrossRef]
  61. Welch, M.J.; Thakur, M.L.; Coleman, R.E.; Patel, M.; Siegel, B.A.; Ter-Pogossian, M. Gallium-68 Labeled Red Cells and Platelets: New Agents for Positron Tomography. J. Nucl. Med. 1977, 18, 558–562. [Google Scholar]
  62. Forstrom, L.A.; Mullan, B.P.; Hung, J.C.; Lowe, V.J.; Thorson, L.M. 18F-FDG Labelling of Human Leukocytes. Nucl. Med. Commun. 2000, 21, 685–690. [Google Scholar] [CrossRef]
  63. Stojanov, K.; de Vries, E.F.J.; Hoekstra, D.; van Waarde, A.; Dierckx, R.A.J.O.; Zuhorn, I.S. [18F]FDG Labeling of Neural Stem Cells for in Vivo Cell Tracking with Positron Emission Tomography: Inhibition of Tracer Release by Phloretin. Mol. Imaging 2012, 11, 1–12. [Google Scholar] [CrossRef]
  64. Elhami, E.; Goertzen, A.L.; Xiang, B.; Deng, J.; Stillwell, C.; Mzengeza, S.; Arora, R.C.; Freed, D.; Tian, G. Viability and Proliferation Potential of Adipose-Derived Stem Cells Following Labeling with a Positron-Emitting Radiotracer. Eur. J. Nucl. Med. Mol. Imaging 2011, 38, 1323–1334. [Google Scholar] [CrossRef]
  65. Adonai, N.; Nguyen, K.N.; Walsh, J.; Iyer, M.; Toyokuni, T.; Phelps, M.E.; McCarthy, T.; McCarthy, D.W.; Gambhir, S.S. Ex Vivo Cell Labeling with 64Cu–Pyruvaldehyde-Bis(N4-Methylthiosemicarbazone) for Imaging Cell Trafficking in Mice with Positron-Emission Tomography. Proc. Natl. Acad. Sci. USA 2002, 99, 3030–3035. [Google Scholar] [CrossRef]
  66. Huang, J.; Lee, C.C.I.; Sutcliffe, J.L.; Cherry, S.R.; Tarantal, A.F. Radiolabeling Rhesus Monkey CD34+ Hematopoietic and Mesenchymal Stem Cells with 64Cu-Pyruvaldehyde-Bis(N4-Methylthiosemicarbazone) for MicroPET Imaging. Mol. Imaging 2008, 7, 1–11. [Google Scholar] [CrossRef]
  67. Kim, M.H.; Woo, S.-K.; Kim, K.I.; Lee, T.S.; Kim, C.W.; Kang, J.H.; Kim, B., II; Lim, S.M.; Lee, K.C.; Lee, Y.J. Simple Methods for Tracking Stem Cells with 64Cu-Labeled DOTA-Hexadecyl-Benzoate. ACS Med. Chem. Lett. 2015, 6, 528–530. [Google Scholar] [CrossRef]
  68. Patrick, P.S.; Kolluri, K.K.; Thin, M.Z.; Edwards, A.; Sage, E.K.; Sanderson, T.; Weil, B.D.; Dickson, J.C.; Lythgoe, M.F.; Lowdell, M.; et al. 89Zr-Oxine Labelling and PET Imaging Shows Lung Delivery of a Cell/Gene Cancer Therapy. bioRxiv 2019. [Google Scholar] [CrossRef]
  69. Ferris, T.J.; Charoenphun, P.; Meszaros, L.K.; Mullen, G.E.D.; Blower, P.J.; Went, M.J. Synthesis and Characterisation of Zirconium Complexes for Cell Tracking with Zr-89 by Positron Emission Tomography. Dalt. Trans. 2014, 43, 14851–14857. [Google Scholar] [CrossRef]
  70. Charoenphun, P.; Meszaros, L.K.; Chuamsaamarkkee, K.; Sharif-Paghaleh, E.; Ballinger, J.R.; Ferris, T.J.; Went, M.J.; Mullen, G.E.D.; Blower, P.J. [89Zr]Oxinate4 for Long-Term in Vivo Cell Tracking by Positron Emission Tomography. Eur. J. Nucl. Med. Mol. Imaging 2015, 42, 278–287. [Google Scholar] [CrossRef]
  71. Polyak, A.; Bankstahl, J.P.; Besecke, K.F.W.; Hozsa, C.; Triebert, W.; Pannem, R.R.; Manstein, F.; Borcholte, T.; Furch, M.; Zweigerdt, R.; et al. Simplified 89Zr-Labeling Protocol of Oxine (8-Hydroxyquinoline) Enabling Prolonged Tracking of Liposome-Based Nanomedicines and Cells. Pharmaceutics 2021, 13, 1097. [Google Scholar] [CrossRef] [PubMed]
  72. Man, F.; Lim, L.; Volpe, A.; Gabizon, A.; Shmeeda, H.; Draper, B.; Parente-Pereira, A.C.; Maher, J.; Blower, P.J.; Fruhwirth, G.O.; et al. In Vivo PET Tracking of (89)Zr-Labeled Vγ9Vδ2 T Cells to Mouse Xenograft Breast Tumors Activated with Liposomal Alendronate. Mol. Ther. 2019, 27, 219–229. [Google Scholar] [CrossRef] [PubMed]
  73. Patrick, P.S.; Kolluri, K.K.; Zaw Thin, M.; Edwards, A.; Sage, E.K.; Sanderson, T.; Weil, B.D.; Dickson, J.C.; Lythgoe, M.F.; Lowdell, M.; et al. Lung Delivery of MSCs Expressing Anti-Cancer Protein TRAIL Visualised with 89Zr-Oxine PET-CT. Stem Cell Res. Ther. 2020, 11, 256. [Google Scholar] [CrossRef]
  74. Jauw, Y.W.S.; Menke-van der Houven van Oordt, C.W.; Hoekstra, O.S.; Hendrikse, N.H.; Vugts, D.J.; Zijlstra, J.M.; Huisman, M.C.; van Dongen, G.A.M.S. Immuno-Positron Emission Tomography with Zirconium-89-Labeled Monoclonal Antibodies in Oncology: What Can We Learn from Initial Clinical Trials? Front. Pharmacol. 2016, 7, 131. [Google Scholar] [CrossRef] [PubMed]
  75. Sato, N.; Wu, H.; Asiedu, K.O.; Szajek, L.P.; Griffiths, G.L.; Choyke, P.L. (89)Zr-Oxine Complex PET Cell Imaging in Monitoring Cell-Based Therapies. Radiology 2015, 275, 490–500. [Google Scholar] [CrossRef]
  76. Asiedu, K.O.; Koyasu, S.; Szajek, L.P.; Choyke, P.L.; Sato, N. Bone Marrow Cell Trafficking Analyzed by 89Zr-Oxine Positron Emission Tomography in a Murine Transplantation Model. Clin. Cancer Res. 2017, 23, 2759–2768. [Google Scholar] [CrossRef]
  77. Asiedu, K.O.; Ferdousi, M.; Ton, P.T.; Adler, S.S.; Choyke, P.L.; Sato, N. Bone Marrow Cell Homing to Sites of Acute Tibial Fracture: 89Zr-Oxine Cell Labeling with Positron Emission Tomographic Imaging in a Mouse Model. EJNMMI Res. 2018, 8, 109. [Google Scholar] [CrossRef]
  78. Weist, M.R.; Starr, R.; Aguilar, B.; Chea, J.; Miles, J.K.; Poku, E.; Gerdts, E.; Yang, X.; Priceman, S.J.; Forman, S.J.; et al. PET of Adoptively Transferred Chimeric Antigen Receptor T Cells with (89)Zr-Oxine. J. Nucl. Med. 2018, 59, 1531–1537. [Google Scholar] [CrossRef]
  79. Vangijzegem, T.; Stanicki, D.; Laurent, S. Magnetic Iron Oxide Nanoparticles for Drug Delivery: Applications and Characteristics. Expert Opin. Drug Deliv. 2019, 16, 69–78. [Google Scholar] [CrossRef]
  80. Sarko, D.; Eisenhut, M.; Haberkorn, U.; Mier, W. Bifunctional Chelators in the Design and Application of Radiopharmaceuticals for Oncological Diseases. Curr. Med. Chem. 2012, 19, 2667–2688. [Google Scholar] [CrossRef]
  81. Spang, P.; Herrmann, C.; Roesch, F. Bifunctional Gallium-68 Chelators: Past, Present, and Future. Semin. Nucl. Med. 2016, 46, 373–394. [Google Scholar] [CrossRef]
  82. Lewis, M.R.; Wang, M.; Axworthy, D.B.; Theodore, L.J.; Mallet, R.W.; Fritzberg, A.R.; Welch, M.J.; Anderson, C.J. In Vivo Evaluation of Pretargeted 64Cu for Tumor Imaging and Therapy. J. Nucl. Med. 2003, 44, 1284–1292. [Google Scholar]
  83. Cheal, S.M.; Chung, S.K.; Vaughn, B.A.; Cheung, N.-K.V.; Larson, S.M. Pretargeting: A Path Forward for Radioimmunotherapy. J. Nucl. Med. 2022, 63, 1302–1315. [Google Scholar] [CrossRef]
  84. van de Watering, F.C.J.; Rijpkema, M.; Robillard, M.; Oyen, W.J.G.; Boerman, O.C. Pretargeted Imaging and Radioimmunotherapy of Cancer Using Antibodies and Bioorthogonal Chemistry. Front. Med. 2014, 1, 44. [Google Scholar] [CrossRef]
  85. Orcutt, K.D.; Slusarczyk, A.L.; Cieslewicz, M.; Ruiz-Yi, B.; Bhushan, K.R.; Frangioni, J.V.; Wittrup, K.D. Engineering an Antibody with Picomolar Affinity to DOTA Chelates of Multiple Radionuclides for Pretargeted Radioimmunotherapy and Imaging. Nucl. Med. Biol. 2011, 38, 223–233. [Google Scholar] [CrossRef]
  86. Schuhmacher, J.; Kaul, S.; Klivényi, G.; Junkermann, H.; Magener, A.; Henze, M.; Doll, J.; Haberkorn, U.; Amelung, F.; Bastert, G. Immunoscintigraphy with Positron Emission Tomography: Gallium-68 Chelate Imaging of Breast Cancer Pretargeted with Bispecific Anti-MUC1/Anti-Ga Chelate Antibodies. Cancer Res. 2001, 61, 3712–3717. [Google Scholar]
  87. Bodet-Milin, C.; Faivre-Chauvet, A.; Carlier, T.; Rauscher, A.; Bourgeois, M.; Cerato, E.; Rohmer, V.; Couturier, O.; Drui, D.; Goldenberg, D.M.; et al. Immuno-PET Using Anticarcinoembryonic Antigen Bispecific Antibody and 68Ga-Labeled Peptide in Metastatic Medullary Thyroid Carcinoma: Clinical Optimization of the Pretargeting Parameters in a First-in-Human Trial. J. Nucl. Med. 2016, 57, 1505–1511. [Google Scholar] [CrossRef]
  88. Schoffelen, R.; Boerman, O.C.; Goldenberg, D.M.; Sharkey, R.M.; van Herpen, C.M.L.; Franssen, G.M.; McBride, W.J.; Chang, C.-H.; Rossi, E.A.; van der Graaf, W.T.A.; et al. Development of an Imaging-Guided CEA-Pretargeted Radionuclide Treatment of Advanced Colorectal Cancer: First Clinical Results. Br. J. Cancer 2013, 109, 934–942. [Google Scholar] [CrossRef]
  89. Rousseau, C.; Goldenberg, D.M.; Colombié, M.; Sébille, J.-C.; Meingan, P.; Ferrer, L.; Baumgartner, P.; Cerato, E.; Masson, D.; Campone, M.; et al. Initial Clinical Results of a Novel Immuno-PET Theranostic Probe in Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer. J. Nucl. Med. 2020, 61, 1205–1211. [Google Scholar] [CrossRef]
  90. Kraeber-Bodéré, F.; Salaun, P.-Y.; Ansquer, C.; Drui, D.; Mirallié, E.; Faivre-Chauvet, A.; Barbet, J.; Goldenberg, D.M.; Chatal, J.-F. Pretargeted Radioimmunotherapy (PRAIT) in Medullary Thyroid Cancer (MTC). Tumour Biol. J. Int. Soc. Oncodev. Biol. Med. 2012, 33, 601–606. [Google Scholar] [CrossRef]
  91. Salaun, P.-Y.; Campion, L.; Bournaud, C.; Faivre-Chauvet, A.; Vuillez, J.-P.; Taieb, D.; Ansquer, C.; Rousseau, C.; Borson-Chazot, F.; Bardet, S.; et al. Phase II Trial of Anticarcinoembryonic Antigen Pretargeted Radioimmunotherapy in Progressive Metastatic Medullary Thyroid Carcinoma: Biomarker Response and Survival Improvement. J. Nucl. Med. 2012, 53, 1185–1192. [Google Scholar] [CrossRef] [PubMed]
  92. de Boisferon, M.H.; Manetti, C.; Raguin, O.; Gautherot, E.; Rostène, W.; Barbet, J.; Gruaz-Guyon, A. Pretargeted Radioimmunotherapy Using131I-Labelled Bivalent Hapten-Bearing Peptides. Lett. Pept. Sci. 1997, 4, 331–339. [Google Scholar] [CrossRef]
  93. Altai, M.; Membreno, R.; Cook, B.; Tolmachev, V.; Zeglis, B.M. Pretargeted Imaging and Therapy. J. Nucl. Med. 2017, 58, 1553–1559. [Google Scholar] [CrossRef] [PubMed]
  94. Sung, C.; van Osdol, W.W. Pharmacokinetic Comparison of Direct Antibody Targeting with Pretargeting Protocols Based on Streptavidin-Biotin Binding. J. Nucl. Med. 1995, 36, 867–876. [Google Scholar]
  95. Casalini, P.; Luison, E.; Ménard, S.; Colnaghi, M.I.; Paganelli, G.; Canevari, S. Tumor Pretargeting: Role of Avidin/Streptavidin on Monoclonal Antibody Internalization. J. Nucl. Med. 1997, 38, 1378–1381. [Google Scholar]
  96. Kalofonos, H.P.; Rusckowski, M.; Siebecker, D.A.; Sivolapenko, G.B.; Snook, D.; Lavender, J.P.; Epenetos, A.A.; Hnatowich, D.J. Imaging of Tumor in Patients with Indium-111-Labeled Biotin and Streptavidin-Conjugated Antibodies: Preliminary Communication. J. Nucl. Med. 1990, 31, 1791–1796. [Google Scholar]
  97. Liu, G.; Mang’era, K.; Liu, N.; Gupta, S.; Rusckowski, M.; Hnatowich, D.J. Tumor Pretargeting in Mice Using 99mTc-Labeled Morpholino, a DNA Analog. J. Nucl. Med. 2002, 43, 384–391. [Google Scholar]
  98. Liu, G.; Dou, S.; Liu, Y.; Wang, Y.; Rusckowski, M.; Hnatowich, D.J. 90Y Labeled Phosphorodiamidate Morpholino Oligomer for Pretargeting Radiotherapy. Bioconjug. Chem. 2011, 22, 2539–2545. [Google Scholar] [CrossRef]
  99. He, J.; Wang, Y.; Dou, S.; Liu, X.; Zhang, S.; Liu, G.; Hnatowich, D. Affinity Enhancement Pretargeting: Synthesis and Testing of a 99mTc-Labeled Bivalent MORF. Mol. Pharm. 2010, 7, 1118–1124. [Google Scholar] [CrossRef]
  100. Kolb, H.C.; Finn, M.G.; Sharpless, K.B. Click Chemistry: Diverse Chemical Function from a Few Good Reactions. Angew. Chem. Int. Ed. 2001, 40, 2004–2021. [Google Scholar] [CrossRef]
  101. Tornøe, C.W.; Christensen, C.; Meldal, M. Peptidotriazoles on Solid Phase:  [1,2,3]-Triazoles by Regiospecific Copper(I)-Catalyzed 1,3-Dipolar Cycloadditions of Terminal Alkynes to Azides. J. Org. Chem. 2002, 67, 3057–3064. [Google Scholar] [CrossRef]
  102. Zeglis, B.M.; Mohindra, P.; Weissmann, G.I.; Divilov, V.; Hilderbrand, S.A.; Weissleder, R.; Lewis, J.S. Modular Strategy for the Construction of Radiometalated Antibodies for Positron Emission Tomography Based on Inverse Electron Demand Diels–Alder Click Chemistry. Bioconjug. Chem. 2011, 22, 2048–2059. [Google Scholar] [CrossRef]
  103. Baranyai, Z.; Reich, D.; Vágner, A.; Weineisen, M.; Tóth, I.; Wester, H.-J.; Notni, J. A Shortcut to High-Affinity Ga-68 and Cu-64 Radiopharmaceuticals: One-Pot Click Chemistry Trimerisation on the TRAP Platform. Dalt. Trans. 2015, 44, 11137–11146. [Google Scholar] [CrossRef]
  104. García, M.F.; Zhang, X.; Shah, M.; Newton-Northup, J.; Cabral, P.; Cerecetto, H.; Quinn, T. 99mTc-Bioorthogonal Click Chemistry Reagent for in Vivo Pretargeted Imaging. Bioorg. Med. Chem. 2016, 24, 1209–1215. [Google Scholar] [CrossRef]
  105. Chen, K.; Wang, X.; Lin, W.-Y.; Shen, C.K.-F.; Yap, L.-P.; Hughes, L.D.; Conti, P.S. Strain-Promoted Catalyst-Free Click Chemistry for Rapid Construction of 64Cu-Labeled PET Imaging Probes. ACS Med. Chem. Lett. 2012, 3, 1019–1023. [Google Scholar] [CrossRef]
  106. Das, T.; Pillai, M.R.A. Options to Meet the Future Global Demand of Radionuclides for Radionuclide Therapy. Nucl. Med. Biol. 2013, 40, 23–32. [Google Scholar] [CrossRef]
  107. Herrmann, K.; Schwaiger, M.; Lewis, J.S.; Solomon, S.B.; McNeil, B.J.; Baumann, M.; Gambhir, S.S.; Hricak, H.; Weissleder, R. Radiotheranostics: A Roadmap for Future Development. Lancet. Oncol. 2020, 21, e146–e156. [Google Scholar] [CrossRef]
  108. Schottelius, M.; Osl, T.; Poschenrieder, A.; Hoffmann, F.; Beykan, S.; Hänscheid, H.; Schirbel, A.; Buck, A.K.; Kropf, S.; Schwaiger, M.; et al. [(177)Lu]Pentixather: Comprehensive Preclinical Characterization of a First CXCR4-Directed Endoradiotherapeutic Agent. Theranostics 2017, 7, 2350–2362. [Google Scholar] [CrossRef]
  109. Habringer, S.; Lapa, C.; Herhaus, P.; Schottelius, M.; Istvanffy, R.; Steiger, K.; Slotta-Huspenina, J.; Schirbel, A.; Hänscheid, H.; Kircher, S.; et al. Dual Targeting of Acute Leukemia and Supporting Niche by CXCR4-Directed Theranostics. Theranostics 2018, 8, 369–383. [Google Scholar] [CrossRef]
  110. Herrmann, K.; Schottelius, M.; Lapa, C.; Osl, T.; Poschenrieder, A.; Hänscheid, H.; Lückerath, K.; Schreder, M.; Bluemel, C.; Knott, M.; et al. First-in-Human Experience of CXCR4-Directed Endoradiotherapy with 177Lu- and 90Y-Labeled Pentixather in Advanced-Stage Multiple Myeloma with Extensive Intra- and Extramedullary Disease. J. Nucl. Med. 2016, 57, 248–251. [Google Scholar] [CrossRef]
  111. Lapa, C.; Herrmann, K.; Schirbel, A.; Hänscheid, H.; Lückerath, K.; Schottelius, M.; Kircher, M.; Werner, R.A.; Schreder, M.; Samnick, S.; et al. CXCR4-Directed Endoradiotherapy Induces High Response Rates in Extramedullary Relapsed Multiple Myeloma. Theranostics 2017, 7, 1589–1597. [Google Scholar] [CrossRef] [PubMed]
  112. Fu, K.; Pang, Y.; Zhao, L.; Lin, L.; Wu, H.; Sun, L.; Lin, Q.; Chen, H. FAP-Targeted Radionuclide Therapy with [(177)Lu]Lu-FAPI-46 in Metastatic Nasopharyngeal Carcinoma. Eur. J. Nucl. Med. Mol. Imaging 2022, 49, 1767–1769. [Google Scholar] [CrossRef] [PubMed]
  113. Kratochwil, C.; Giesel, F.L.; Rathke, H.; Fink, R.; Dendl, K.; Debus, J.; Mier, W.; Jäger, D.; Lindner, T.; Haberkorn, U. [(153)Sm]Samarium-Labeled FAPI-46 Radioligand Therapy in a Patient with Lung Metastases of a Sarcoma. Eur. J. Nucl. Med. Mol. Imaging 2021, 48, 3011–3013. [Google Scholar] [CrossRef] [PubMed]
  114. Liu, Y.; Watabe, T.; Kaneda-Nakashima, K.; Shirakami, Y.; Naka, S.; Ooe, K.; Toyoshima, A.; Nagata, K.; Haberkorn, U.; Kratochwil, C.; et al. Fibroblast Activation Protein Targeted Therapy Using [(177)Lu]FAPI-46 Compared with [(225)Ac]FAPI-46 in a Pancreatic Cancer Model. Eur. J. Nucl. Med. Mol. Imaging 2022, 49, 871–880. [Google Scholar] [CrossRef]
  115. Peters, S.M.B.; Privé, B.M.; de Bakker, M.; de Lange, F.; Jentzen, W.; Eek, A.; Muselaers, C.H.J.; Mehra, N.; Witjes, J.A.; Gotthardt, M.; et al. Intra-Therapeutic Dosimetry of [(177)Lu]Lu-PSMA-617 in Low-Volume Hormone-Sensitive Metastatic Prostate Cancer Patients and Correlation with Treatment Outcome. Eur. J. Nucl. Med. Mol. Imaging 2022, 49, 460–469. [Google Scholar] [CrossRef]
  116. Baum, R.P.; Schuchardt, C.; Singh, A.; Chantadisai, M.; Robiller, F.C.; Zhang, J.; Mueller, D.; Eismant, A.; Almaguel, F.; Zboralski, D.; et al. Feasibility, Biodistribution, and Preliminary Dosimetry in Peptide-Targeted Radionuclide Therapy of Diverse Adenocarcinomas Using (177)Lu-FAP-2286: First-in-Humans Results. J. Nucl. Med. 2022, 63, 415–423. [Google Scholar] [CrossRef]
  117. Privé, B.M.; Boussihmad, M.A.; Timmermans, B.; van Gemert, W.A.; Peters, S.M.B.; Derks, Y.H.W.; van Lith, S.A.M.; Mehra, N.; Nagarajah, J.; Heskamp, S.; et al. Fibroblast Activation Protein-Targeted Radionuclide Therapy: Background, Opportunities, and Challenges of First (Pre)Clinical Studies. Eur. J. Nucl. Med. Mol. Imaging 2023, 1–13. [Google Scholar] [CrossRef]
Figure 1. SPECT/CT imaging of bone metabolism on the surface of a bone tissue differentiated mesenchymal stem cell bearing hydrogel scaffold in mouse, employing the conventional radiopharmaceutical [99mTc]Tc-MDP [16].
Figure 1. SPECT/CT imaging of bone metabolism on the surface of a bone tissue differentiated mesenchymal stem cell bearing hydrogel scaffold in mouse, employing the conventional radiopharmaceutical [99mTc]Tc-MDP [16].
Bioengineering 10 00521 g001
Figure 2. Fibrosis imaging: PET/CT fusion transaxial images at 7 d and 21 d after myocardial infarction with and without co-administration of unlabeled ligand. Accumulation of fibrosis tracer [68Ga]MHLL1 (orange) in the non-viable infarct territory defined by [18F]FDG (green) with additional distribution at the site of the surgical wound [52].
Figure 2. Fibrosis imaging: PET/CT fusion transaxial images at 7 d and 21 d after myocardial infarction with and without co-administration of unlabeled ligand. Accumulation of fibrosis tracer [68Ga]MHLL1 (orange) in the non-viable infarct territory defined by [18F]FDG (green) with additional distribution at the site of the surgical wound [52].
Bioengineering 10 00521 g002
Figure 3. Whole-body biodistribution of 89Zr-oxine-labelled MSCTRAIL (tumor necrosis factor related apoptosis-inducing ligand – expressing mesenchymal stromal cells) followed up to 1 week post-implantation. (A) maximum intensity-projection PET showing 89Zr-oxine-labelled cells overlaid on 3D-rendered bone CT at the indicated time points after intravenous injection. (B) % injected dose (ID) per gram, using the wet weight of tissue from each animal following dissection at day 10 post-injection, and (C) % ID per organ [68].
Figure 3. Whole-body biodistribution of 89Zr-oxine-labelled MSCTRAIL (tumor necrosis factor related apoptosis-inducing ligand – expressing mesenchymal stromal cells) followed up to 1 week post-implantation. (A) maximum intensity-projection PET showing 89Zr-oxine-labelled cells overlaid on 3D-rendered bone CT at the indicated time points after intravenous injection. (B) % injected dose (ID) per gram, using the wet weight of tissue from each animal following dissection at day 10 post-injection, and (C) % ID per organ [68].
Bioengineering 10 00521 g003
Figure 4. Real-time evaluation opportunity of nanovesicles post-injection: time-activity biodistribution curves of selected organs (liver, spleen, kidney, and bone) of mice generated from dynamic PET acquisition over one hour after i.v. application of zirconium-89-labeled liposomes [71].
Figure 4. Real-time evaluation opportunity of nanovesicles post-injection: time-activity biodistribution curves of selected organs (liver, spleen, kidney, and bone) of mice generated from dynamic PET acquisition over one hour after i.v. application of zirconium-89-labeled liposomes [71].
Bioengineering 10 00521 g004
Table 1. Some radiopharmaceuticals and labeling modalities available for implant-related studies.
Table 1. Some radiopharmaceuticals and labeling modalities available for implant-related studies.
Labeled Compound (Modality)MechanismPromiseLimitations
2-[18F]FDG (PET)indicates any enhanced tissue glucose metabolisminfection,
inflammation
lower specificity, uptake in heart and brain, blood background signal, interaction with blood glucose
Na[18F]F (PET)indicates enhanced bone metabolismosseointegration, bone regeneration, bone resorptionlower specificity, lower imaging sensitivity compared to alternatives
[68Ga]FAPI (PET)indicates fibrosis by targeting fibroblast activation protein (FAP)inflammation, fibrosis,
wound healing
limited specificity,
inter-subject variability,
limited availability,
higher costs
[18F]GE180 (PET)indicates inflammatory by translocator protein (TSPO)inflammation
68Ga-pentixafor (PET)indicates C-X-C chemokine receptor type 4 (CXCR4)inflammation
18F-maltohexaose (PET)specific for bacteria, indicates infections, allows to distinguish bacterial infections from sterile inflammationsinfection,
biofilms
limited specificity, antibiotics may preclude its application
111In-oxine-leukocytes (SPECT)indicates infections and sterile inflammations by labeling of white blood cellsinfection,
inflammation
lower specificity, partly invasive
[99mTc]Tc-HMPAO labeled and 111In-, 68Ga-, 89Zr-oxine labeled cells (SPECT or PET)lipophilic prelabeled agent internalized by the cellscell trackingcell viability and function must be considered
99mTc-labeled phosphonates, e.g., MDP (SPECT)indicates enhanced bone metabolismosseointegration, bone regeneration, bone resorption, infectionlimited specificity, inflammation, infection, or healing fractures can increase the uptake
18F-, 68Ga-, 89Zr-, 64Cu-, 99mTc-labeled nanoparticles (SPECT or PET)direct tracking of nanocarriersreal-time tracking, evaluation of NP pharmacokinetics and biodistribution, imaging guided drug delivery, personalized medicinelimited tracing time depending on the selected radionuclide
pretargeted ligand, prelabeled agents (SPECT or PET)selective pretargeting,
click chemistry
specific imaging of preselected
ligand, target
unique reactions, advanced bio- and radiochemistry
radiotheranostic agents (RNT, RT, ERT, theranosis, SPECT, PET)switchable radioisotopesimaging guided therapy,
personalized medicine
availability, higher cost, advanced radiochemistry
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Polyak, A.; Képes, Z.; Trencsényi, G. Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research. Bioengineering 2023, 10, 521. https://doi.org/10.3390/bioengineering10050521

AMA Style

Polyak A, Képes Z, Trencsényi G. Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research. Bioengineering. 2023; 10(5):521. https://doi.org/10.3390/bioengineering10050521

Chicago/Turabian Style

Polyak, Andras, Zita Képes, and György Trencsényi. 2023. "Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research" Bioengineering 10, no. 5: 521. https://doi.org/10.3390/bioengineering10050521

APA Style

Polyak, A., Képes, Z., & Trencsényi, G. (2023). Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research. Bioengineering, 10(5), 521. https://doi.org/10.3390/bioengineering10050521

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