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Article

A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS)

1
Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
2
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
3
Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
4
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
5
Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
6
Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA
7
Department of Physics, The University of Texas Rio Grande Valley, Brownsville, TX 78500, USA
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(10), 1922; https://doi.org/10.3390/cancers16101922
Submission received: 9 April 2024 / Revised: 15 May 2024 / Accepted: 17 May 2024 / Published: 18 May 2024
(This article belongs to the Special Issue MRI-Assisted Radiosurgery (MARS))

Abstract

:

Simple Summary

High-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS) is an advanced form of brachytherapy or interventional radiotherapy involving the use of a remote after-loading system to transport an encapsulated radioisotope source to within or near a tumor with MRI precision. An HDR MARS can be used for treating both primary and recurrent prostate cancer with fewer treatment-related toxicities and comparable survival rates. Image-guided HDR brachytherapy has been linked with better local tumor control and overall survival. Magnetic resonance imaging (MRI) is more effective than computed tomography (CT) and ultrasonography in distinguishing the boundaries of a tumor versus the surrounding normal tissues. However, localizing the applicator and source is more challenging with MRI because conventional fiducial markers are not positively visualized on MRI. The aim of our study was to investigate the MRI signal intensities and characteristics of a newly developed positive-contrast MRI line marker (C4:S) for HDR MARS. We found that C4:S MRI line markers were positively visualized on both T1- and T2-weighted MRI sequences. Our findings indicate the value of C4:S line markers for HDR MARS.

Abstract

Magnetic resonance imaging (MRI) can facilitate accurate organ delineation and optimal dose distributions in high-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS). Its use for this purpose has been limited by the lack of positive-contrast MRI markers that can clearly delineate the lumen of the HDR applicator and precisely show the path of the HDR source on T1- and T2-weighted MRI sequences. We investigated a novel MRI positive-contrast HDR brachytherapy or interventional radiotherapy line marker, C4:S, consisting of C4 (visible on T1-weighted images) complexed with saline. Longitudinal relaxation time (T1) and transverse relaxation time (T2) for C4:S were measured on a 1.5 T MRI scanner. High-density polyethylene (HDPE) tubing filled with C4:S as an HDR brachytherapy line marker was tested for visibility on T1- and T2-weighted MRI sequences in a tissue-equivalent female ultrasound training pelvis phantom. Relaxivity measurements indicated that C4:S solution had good T1-weighted contrast (relative to oil [fat] signal intensity) and good T2-weighted contrast (relative to water signal intensity) at both room temperature (relaxivity ratio > 1; r2/r1 = 1.43) and body temperature (relaxivity ratio > 1; r2/r1 = 1.38). These measurements were verified by the positive visualization of the C4:S (C4/saline 50:50) HDPE tube HDR brachytherapy line marker on both T1- and T2-weighted MRI sequences. Orientation did not affect the relaxivity of the C4:S contrast solution. C4:S encapsulated in HDPE tubing can be visualized as a positive line marker on both T1- and T2-weighted MRI sequences. MRI-guided HDR planning may be possible with these novel line markers for HDR MARS for several types of cancer.

1. Introduction

The application of high-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS) involves the use of a remote after-loading system to precisely transport an encapsulated radioisotope source to within or near an MRI-delineated tumor, with the goal of delivering high, well-conformed radiation doses to tumors while minimizing the exposure of surrounding normal tissues [1]. The radiation dose is determined from calculations of the source position and dwell time. With modern-day MRI image guidance, HDR MARS can be used as primary, adjunct, or salvage treatment for cancer of the prostate, cervix, breast, and other organs [2,3,4,5,6]. HDR brachytherapy or interventional radiotherapy is an attractive choice for treating both primary and recurrent prostate cancer, either as monotherapy for low-risk or, in some cases, intermediate-risk disease, or as dose escalation with external-beam radiation therapy (EBRT) for high-risk disease, with good quality of life outcomes [2,7,8,9,10,11,12,13,14]. Compared with radical prostatectomy, HDR brachytherapy for prostate cancer leads to fewer instances of treatment-related impotence and urinary disorders as well as comparable 10-year survival rates [2,15]. HDR brachytherapy with EBRT has also led to improved survival rates in cervical cancer [16,17,18,19,20,21,22], and HDR brachytherapy has produced favorable outcomes with fewer treatment-related side effects than traditional EBRT after lumpectomy for breast cancer [2,23,24,25].
In HDR MARS, the radiation source is placed either within or close to the MRI-defined tumor being treated, and high radiation doses are delivered over short periods. Therefore, any errors in source positioning can have significant negative effects on both tumor control (from inadequate dose delivery) and toxicity to surrounding normal tissues (from high-dose exposure), highlighting the importance of the accuracy of both the placement of the implant and the ability to visualize the tumor boundary. HDR brachytherapy has a somewhat higher risk than other radiation modalities of errors related to poor image quality, particularly in catheter reconstruction or catheter/indexer length [7,26,27,28,29]. Indeed, mislabeled catheters and incorrect catheter reconstruction are two primary sources of inaccuracy in HDR [7,28,30]. Accurate delineation of the anatomy, tumor, and implanted catheters or applicators (and therefore safe and precise dose delivery) has relied on image guidance by computed tomography (CT), transrectal ultrasonography, or magnetic resonance imaging (MRI) [1,31,32,33]. Image-guided HDR brachytherapy has been linked with better local tumor control and overall survival [2,33,34,35,36]. Ultrasonography can be problematic because of poor visualization of the catheters or applicators, especially toward the catheter tips [7]. CT is often used for image-guided HDR radiotherapy because it can visualize the applicators, sources, and source path [37,38].
However, CT is less effective than MRI for distinguishing anatomic structures, especially soft tissues, which limits the accuracy of CT for visualizing the boundaries of the tumor versus the surrounding normal tissues. As a consequence, tumor delineations based on CT can significantly overestimate the tumor width relative to MRI [3,39]. Moreover, interobserver variability is less of an issue with MRI than with CT [40].
The high soft-tissue contrast possible with MRI has led to it being recommended as a gold-standard modality for visualizing tumor volumes [41,42,43,44], especially cervical and prostate cancers [3,37,45,46]. MRI was also recently named a preferred imaging modality for image-guided HDR brachytherapy, especially for gynecologic and prostate cancer [3,33,46,47], because MRI can guide interventional procedures (including catheter insertion) and assist in detecting interventional devices [2,26,31,48,49,50,51]. Several studies have shown that MRI-guided HDR brachytherapy leads to better cervical cancer-related survival and treatment-related toxicity relative to conventional or CT-guided HDR brachytherapy [2,21,52,53,54,55,56,57,58,59].
Although MRI is superior to CT for target volume delineation at several anatomic sites [3,33,40], localizing the applicator and source is more challenging with MRI than with CT [33,37,38], leading to the inaccurate reconstruction of the source pathways and subsequent dosimetric uncertainties in the tumor and surrounding normal tissues [37,60]. Because conventional fiducial markers do not appear as positive contrast on MRI, positive-contrast MRI markers are being developed to improve the accuracy of applicator and source localization and thus improve the precision of dose distribution in HDR MARS [61,62,63].
Markers such as copper sulfate (CuSO4) and C4 (cobalt chloride complexed with water and N-acetylcysteine) can be positively visualized on T1-weighted MRI, and saline can be visualized on T2-weighted MRI; both have shown promise for identifying source pathways [46]. Because both T1-weighted and T2-weighted MRI sequences are used for HDR MARS in cervical and prostate cancer, markers that appear as positive contrast on both T1- and T2- weighted MRI sequences would be ideal. To meet this need, we investigated the magnetic relaxation characteristics and MRI signal intensities, on both T1- and T2-weighted images, of a newly developed positive-contrast MRI line marker for HDR, in which C4 is complexed with saline (C4:S).

2. Materials and Methods

2.1. Preparation of Test Solutions

The MRI marker C4, which shows a positive signal on T1-weighted sequences, consists of cobalt chloride complexed with 6 water molecules (CoCl2·6H2O, Fluka Sigma-Aldrich 60820, Lot 1313139, St. Louis, MO, USA) and the chelating antioxidant N-acetylcysteine (NAC, Sigma-Aldrich 47250-1006, Lot 051M1820V), prepared as described previously [64]. Briefly, the ingredients were dissolved in distilled water in a weight-by-volume percentage (w/v%, where 1% = 1 g/100 mL) of C4, that is, 1% CoCl2·6H2O: 2% NAC. Saline was created by dissolving 9 g of sodium chloride (NaCl) in 1000 mL of distilled water. The C4 was complexed with saline to create the positive-signal marker C4:S (under both T1- and T2-weighted sequences). The C4:S solutions tested were generated from the following proportions of C4 and saline: 10%:90%; 20%:80%; 30%:70%; 40%:60%; 50%:50%; 60%:40%; 70%:30%; 80%:20%; and 90%:10%. Because the standard units for relaxivity calculations are millimolar concentrations in solution (mM−1) and time (in seconds−1), the above w/v% concentrations of the tested solutions were converted to the corresponding mM concentrations of cobalt dichloride, i.e., 4.229 mM, 8.458 mM, 12.687 mM, 16.916 mM, 21.145 mM, 25.374 mM, 29.603 mM, 33.832 mM, and 38.061 mM.

2.2. MRI Scan Acquisition Parameters and Image Analysis

MRI scans were performed on a 1.5 T scanner (Siemens Healthineers, Erlangen, Germany) and images were analyzed as described previously [64]. Briefly, the C4:S solutions (total volume of 25 mL each) were placed in nine 50 mL polypropylene centrifuge tubes (inner diameter was 26.6 mm; thickness was 1.06 mm). Three additional tubes, two filled only with water and the other filled only with oil, were used as controls. The 12 tubes were placed in an acrylic box, as shown in Figure 1. The box was then placed in a 20-channel phased-array head-and-neck coil and centered about the isocenter of the bore, with the length of the vials perpendicular with the static B0 field, and filled with water to reduce susceptibility artifacts. The relaxation parameters of the C4:S solutions were determined both at body temperature (37 °C) and at room temperature (20 °C) in three conventional scan orientations (coronal, sagittal, and axial). MATLAB v9.3.0. (The MathWorks, Inc., Natick, MA, USA) was used to analyze the acquired images. The area of each image analyzed was a 20-pixel-by-20-pixel square region of interest (ROI), which was placed away from the edge to ensure signal homogeneity within the ROI. The mean and standard deviation of the signal within the ROIs were recorded at each time point.

2.3. Spin–Lattice (Longitudinal) Relaxation Time (T1) Measurements

For the T1 measurements, an inversion recovery turbo spin echo sequence was used [64], with TI = 50, 100, 200, 400, 600, 800, 1200, 1600, and 2400 ms; matrix size = 192 × 192; FOV = 20 cm; TR/TE = 8000 ms/7.6 ms; pixel bandwidth = 285 Hz; NEX = 1; ETL = 11; and slice thickness = 5 mm. The signal for inversion recovery is expressed as S = K ( 1 2 e T I T 1 + e T R T 1 ) , where K is a scaling factor, T1 denotes the inversion time, and TR is the repetition time. For an inversion recovery scan at a specific C4:S concentration, the signal is represented as the mean signal in the ROI, with standard deviation used to estimate uncertainty. In our experiments, TR and K were constants. The curve was fitted to the inversion recovery measurements, and the Levenberg–Marquardt least-squares algorithm [65,66] was used to determine T1.

2.4. Spin–Spin (Transverse) Relaxation Time (T2) Measurement

For T2 measurements, two turbo spin echo sequences were used. The sequence used to investigate the influence of temperature on T2 relaxation time was based on traditional Cartesian sampling, with TR = 5000 ms; TE = 10, 30, 50, 70, 90, 110, 130, 150, 170, 190, 210, 230, 250, 270, 290, and 310 ms; matrix size = 192 × 192; pixel bandwidth = 170 Hz; ETL = 19; FOV = 20 cm; and slice thickness = 5 mm. To investigate the effect of scanning orientation on T2 relaxation time, the sequence used was a fast radial sampling, with TR = 3610 ms; TE = 22, 44, 66, 88, 110, 132, 154, 176, 198, 220, 242, 264, 286, 308, 330, and 352 ms; matrix size = 384 × 384; pixel bandwidth = 130 Hz; ETL = 16; FOV = 20 cm; and slice thickness/gap = 5/5 mm. In the current study, the measured echo signal intensity values were fit to S = K e T E T 2 . The initial estimate of T2 for each ROI was obtained by first-degree polynomial fitting of the turbo spin echo logarithmic signals plotted against echo time.

2.5. Relaxivity Calculation

Relaxivity was calculated as described previously [64]. Briefly, using the initial detected T1 or T2 as a starting point, nonlinear regression was applied to the signal plotted against each inversion/echo time, and the least-squares method was iteratively applied to evaluate T1 and T2. Relaxivity was defined as the change in relaxation rate per unit of C4:S; the relaxation rates were calculated and plotted against the cobalt dichloride concentration. As a result, the slopes from the linear fit to this plot (r2/r1) indicated the relaxivity values.

2.6. C4:S Marker Implantation and MRI Scanning

To test visualization of the C4:S marker on MRI, we filled an HDPE tube with C4:S to create a “line marker” that was then implanted in a tissue-equivalent female ultrasound training pelvis (Model 404A) phantom (Figure 2). Image data were acquired with an 18-channel phase-array body coil along with a built-in 32-channel spine coil. MRI scanning was performed with 3D T1-weighted imaging (Fast Low Angle SHot [FLASH]: TR/TE = 6/2.4 ms; NEX = 3; pixel bandwidth = 500 Hz; flip angle = 25 deg; FOV = 18 cm; matrix size = 256 × 256; reconstruction voxel size = 0.35 × 0.35 × 1.25 mm3) and 3D T2-weighed imaging (Sampling Perfection with Application optimized Contrasts using different flip angle Evolution [SPACE]: TR/TE = 1500/279 ms; NEX = 2; ETL = 120; pixel bandwidth = 490 Hz; FOV = 18 cm; matrix size = 256 × 256; reconstruction voxel size = 0.35 × 0.35 × 1.25 mm3).

3. Results

3.1. Relaxation Time and Relaxivity of C4:S at Different Temperatures

Because molecules move differently at different temperatures, and because temperature can influence the characteristics of chemical reactions, our first step was to determine the influence of temperature on the C4:S MRI signal over time. T1 and T2 relaxation times were measured at room temperature (20 °C) and at body temperature (37 °C) in the coronal scanning orientation. At both temperatures, the T1 relaxation time decreased as the proportion of C4 increased; for a 50:50 C4:S solution, the T1 signal intensity was about 119% at room temperature and 116% at body temperature relative to the signal intensity of oil (Figure 3A and Figure 4A,B). Similarly, the T2 relaxation times at both temperatures decreased as the proportion of C4 increased; for a 50:50 C4:S solution, the T2 signal intensity was about 77% at room temperature and 68% at body temperature relative to the signal intensity of water (Figure 3B and Figure 4A,B). Regarding the effects of temperature on C4:S relaxation rates, no difference was observed in either 1/T1 or 1/T2 between room temperature and body temperature when the proportion of C4 in the C4:S solution was low (e.g., the concentration of cobalt dichloride was less than 16.916 mM, which is a less than 40:60 C4:S solution), but when proportions of C4 exceeded 40%, the 1/T1 and 1/T2 values at body temperature were lower than those at room temperature (all p < 0.05) (Figure 3C,D). Relaxivity was slightly lower at body temperature (r2/r1 = 1.38) than at room temperature (r2/r1 = 1.43). Moreover, C4:S solutions with a C4:S ratio of 40:60 or 50:50 had the most optimized balance of T1- and T2-relative positive signal intensity, at both room temperature and body temperature (Figure 4).

3.2. Relaxation Time of C4:S at Different MRI Scanning Orientations

Next, to investigate the effects of scanning orientation on C4:S MRI signal artifacts, we measured the T1 and T2 relaxation times of various C4:S ratios in the coronal, axial, and sagittal orientations at room temperature. In all three orientations, the T1 relaxation times became shorter as the proportion of C4 increased, and the times did not differ among orientations (Figure 5A). Similarly, in all three orientations, the T2 relaxation times also became shorter as the proportion of C4 increased, again with no differences noted among orientations (Figure 5B). Similar findings were noted in that orientation did not affect the C4:S relaxation rates (1/T1 and 1/T2), which increased with increasing C4 concentrations (Figure 5C,D).

3.3. Positive-Contrast Visualization of C4:S Line Marker under MRI Scanning in a Phantom

As a final test of whether the C4:S marker could be used as a positive-contrast MRI signal marker for HDR, we used a clinical 1.5 T MRI scanner to visualize an HDPE tube filled with C4:S (a “line marker”) that had been implanted in a tissue-equivalent female ultrasound training pelvis phantom. The C4:S (in a 50:50 solution) appeared as a positive signal on both T1- and T2-weighted images, and on T2-weighted images, its visualization was better than C4 (Figure 6).

4. Discussion

Our results showed that MRI scanning orientation does not affect the relaxation time or relaxation rate of the C4:S marker. Both the T1 and T2 relaxation times decreased as the proportion of C4 in the C4:S solution increased, both at room temperature and at body temperature, with the relaxation time being slightly higher at body temperature than at room temperature when the C4 concentration was low. Both the T1 and T2 relaxation rates were lower at body temperature than those at room temperature in C4:S solutions with higher C4 concentrations. Moreover, the C4:S 40:60 and 50:50 solutions had the most optimized T1- and T2-relative positive signal intensity, both at both room temperature and at body temperature. Finally, HDPE tubing filled with a 50:50 solution of C4:S was positively visualized on both T1- and T2-weighted MRI sequences, which suggests that C4:S may be an effective positive-contrast MRI marker for visualizing the positions of applicators and catheters in HDR MARS for prostate, cervical, and possibly other types of cancer.
MRI is superior to CT in distinguishing anatomic structures and soft tissues; therefore, the improved MRI visualization of applicator and source pathways is meaningful in HDR brachytherapy clinical practice because it can improve the accuracy and diminish the uncertainties of dose distribution in the tumor and surrounding normal tissues.
The ability of MRI to distinguish anatomic structures depends on the differences in MR signal intensity between the various tissues. The two most common types of MR sequences used in clinical practice are T1-weighted (which often highlights fat tissue) and T2-weighted (which often highlights both fat and water). On an MR image, the signal intensity is directly related to the magnitude of the detected MR signal. The MRI signal intensity of different tissues or materials depends on their magnetic properties, including the T1 (longitudinal) and T2 (transverse) relaxation times. The T1 relaxation time refers to the time constant for regrowth of the longitudinal component of tissue magnetization toward its initial maximum value; tissues or materials with short T1 relaxation times produce high-intensity signals that appear as bright spots on a T1-weighted MR image. On the other hand, the T2 relaxation time represents the time constant for the MRI signal to decay in the transverse plane; tissues or materials with short T2 relaxation times have low-intensity signals and appear as dark regions on T2-weighted MR images [67]. Considering that T1 is always greater than T2, an ideal positive MRI marker that would show hyperintensity on both T1- and T2-weighted images should have a relatively short T1 relaxation time and a relatively long T2 relaxation time.
To generate an MRI marker that is easily visualized on both T1- and T2-weighted sequences, we began with C4, a previously developed marker with positive visibility on T1-weighted sequences [64], complexed with saline solution to create C4:S, which can be visualized on both T1- and T2-weighted sequences. Here, we tested and characterized the relaxation properties of C4:S for this purpose. We found that the relaxation times of both T1 and T2 were decreased as the proportion of C4 increased, which indicated the possibility of selecting optimized tumor and normal tissue differentiation conditions by modulating MRI intensities through adjusting the ratio of C4 versus saline.
The magnetic properties of tissue or materials reflect not only their chemical characteristics but also their physical orientation relative to the primary magnetic field [68,69]; indeed, orientation-dependent brachytherapy seed artifacts have been observed on MR images [70]. Thus, we tested the effect of MRI scanning orientation on the magnetic properties of the C4:S solution, which included the relaxation times and relaxation rates obtained at coronal, sagittal, and axial orientations. Our results indicated that all of the magnetic properties of the C4:S solution were similar in all three orientations, a finding that agrees with our previous studies of the C4 marker [64]. From this result, we anticipate that a C4:S solution encapsulated to mark either a seed or a line (i.e., an applicator) would not induce marker orientation-based artifacts on either T1- or T2-weighted MRI scans, which would help to ensure the accuracy of placement of the radiation seeds and the HDR brachytherapy applicator.
Because T1 and T2 relaxation times are strongly affected by temperature [71,72,73], the T1 and T2 relaxation time values derived from in vitro measurements are not necessarily representative of in vivo conditions. Moreover, the effects of temperature on the relaxation time of an agent also depend on the characteristics of the material [71]. Therefore, we tested the influence of temperature on the magnetic properties of C4:S (relaxation time, relaxation rate, and relaxivity). Both the T1 and T2 relaxation times at body temperature were slightly longer than those at room temperature in a 10:90 C4:S solution, and no differences in the T1 or T2 relaxation times were observed at body temperature versus room temperature in the other C4 concentrations tested. This finding suggests that in vitro tests of C4:S solutions when the C4 component is higher than 10% are applicable to in vivo conditions; it also suggests that a 10:90 C4:S solution may have a higher signal intensity under T1-weighted imaging and a slightly lower signal intensity under T2-weighted imaging than in in vivo conditions. Moreover, both the T1 and T2 relaxivities of C4:S solutions at room temperature were similar to those at body temperature (i.e., the difference was only 0.05 mM−1s−1), further indicating the feasibility of using in vitro tests to study C4:S MRI properties that may approximate the in vivo conditions well. These results, which are similar to those of studies of the original C4 marker [64], indicate that, unlike some other materials [71,72,73], the experimental data derived from in vitro measurements of C4:S will generally be similar to those present under in vivo conditions.
To further mimic in vivo conditions, we tested whether a 50:50 C4:S solution could be visualized within a tube in a tissue-equivalent phantom of the female pelvis. As expected, the C4:S was positively visualized under clinically used T1- and T2-weighted MRI sequences, and the signal intensity on the T2-weighted image was considerably higher than the intensity of C4. This result indicated the potential of a C4:S line marker to be a clinically applicable MRI positive-contrast marker for HDR interventional radiotherapy guided by MRI using commonly used clinical MRI sequences.
The limitation of this study is that our study was only performed on a 1.5 Tesla MR scanner. Even though the 1.5 Tesla MR scanner is the most widely used field strength for clinical MRI, including MR-Linac systems, 3 Tesla MR scanners are the other field strength widely used for clinical MRI. Although the T1 and T2 of the tissues are field strength-dependent, their changes are fairly small, with T1 increasing by about 25% and T2 becoming only slightly shorter from 1.5 Tesla to 3 Tesla. We expect that the C4:S markers will remain clearly visible on both T1- and T2-weighted images on a 3 Tesla MR scanner, and we will test this hypothesis in our future studies.

5. Conclusions

Accurate and precise dose delivery in HDR MARS for cervical or prostate cancer requires the use of both T1- and T2 -weighted MRI sequences [74,75,76,77,78,79]. Therefore, it is essential to be able to visualize the markers under both T1- and T2-weighted sequences. Since a shorter T1 relaxation time usually leads to an increased signal intensity in T1-weighted images, whereas a shorter T2 relaxation time results in a decreased signal intensity in T2-weighted images [67,80], a material with a shorter T1 relaxation time and a longer T2 relaxation time would be an appropriate MRI marker for use in both T1- and T2-weighted sequences. Because the relaxivity ratios of C4:S in our study were greater than 1 at room temperature (r2/r1 = 1.43) and at body temperature (r2/r1 = 1.38), we conclude that C4:S shows promise as a positive-contrast marker for both T1- and T2-weighted MR images and, as such, may be feasible to guide HDR MARS. Further investigations involving the clinical use of C4:S to assist HDR MARS are warranted.

Author Contributions

Conceptualization, S.J.F., R.J.S. and K.S.M.; methodology, S.J.F., R.J.S., T.K.B., A.V. and K.S.M.; software, J.M. and J.W.S.; validation, J.W.S. and J.M.; formal analysis, L.W., Y.D., and R.J.S.; investigation, L.W., Y.D., E.L., T.L.B. and R.J.S.; resources, R.J.S., T.K.B., M.S.N., A.H.K., A.V., J.W. and S.J.F.; data curation, L.W., Y.D. and R.J.S.; writing—original draft preparation, L.W.; writing—review and editing, L.W., Y.D., R.J.S., T.K.B., J.W.S., M.S.N., J.M., A.H.K., A.V., J.W., K.S.M. and S.J.F.; visualization, S.J.F., R.J.S., T.K.B. and A.V.; supervision, S.J.F.; project administration, S.J.F.; funding acquisition, S.J.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported in part by the National Institutes of Health Small Business Innovation Research grant 1R43CA150320-01A1 and Cancer Center Support (Core) Grant P30CA016672 from the National Cancer Institute.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

We thank Christine F. Wogan, of MD Anderson’s Division of Radiation Oncology for editorial assistance in developing this report.

Conflicts of Interest

Steven J. Frank has received research grants from C4 Imaging, Affirmed Pharma, and Hitachi; and he has reported personal fees from C4 Imaging (Scientific Advisory Committee, patent/royalties, founder/ownership interest) and the National Comprehensive Cancer Center (Board member). Jingfei Ma is a consultant of C4 Imaging; and he is an inventor of US patents that are licensed to Siemens Healthineers and GE Healthcare. Karen S. Martirosyan has an ownership interaction with C4 Imaging. The other authors declare no conflicts of interest regarding the content of this article.

References

  1. Watanabe, Y.; Muraishi, H.; Takei, H.; Hara, H.; Terazaki, T.; Shuto, N.; Shimo, T.; Nozawa, M.; Ishiyama, H.; Hayakawa, K.; et al. Automated source tracking with a pinhole imaging system during high-dose-rate brachytherapy treatment. Phys. Med. Biol. 2018, 63, 145002. [Google Scholar] [CrossRef] [PubMed]
  2. Skowronek, J. Current status of brachytherapy in cancer treatment—Short overview. J. Contemp. Brachytherapy 2017, 9, 581–589. [Google Scholar] [CrossRef]
  3. Viswanathan, A.N.; Dimopoulos, J.; Kirisits, C.; Berger, D.; Pötter, R. Computed tomography versus magnetic resonance imaging-based contouring in cervical cancer brachytherapy: Results of a prospective trial and preliminary guidelines for standardized contours. Int. J. Radiat. Oncol. Biol. Phys. 2007, 68, 491–498. [Google Scholar] [CrossRef]
  4. Van den Bos, W.; Beriwal, S.; Velema, L.; de Leeuw, A.A.; Nomden, C.N.; Jürgenliemk-Schulz, I.-M. Image guided adaptive brachytherapy for cervical cancer: Dose contribution to involved pelvic nodes in two cancer centers. J. Contemp. Brachytherapy 2014, 6, 21–27. [Google Scholar] [CrossRef]
  5. Schindel, J.; Zhang, W.; Bhatia, S.K.; Sun, W.; Kim, Y. Dosimetric impacts of applicator displacements and applicator reconstruction-uncertainties on 3D image-guided brachytherapy for cervical cancer. J. Contemp. Brachytherapy 2013, 5, 250–257. [Google Scholar] [CrossRef]
  6. Wiercińska, J.; Wronczewska, A.; Kabacińska, R.; Makarewicz, R. Transition from Paris dosimetry system to 3D image-guided planning in interstitial breast brachytherapy. J. Contemp. Brachytherapy 2015, 7, 479–484. [Google Scholar] [CrossRef] [PubMed]
  7. Poder, J.; Brown, R.; Howie, A.; Yuen, J.; Ralston, A.; Schreiber, K.; Bece, A.; Bucci, J. A risk-based approach to development of ultrasound-based high-dose-rate prostatebrachytherapy quality management. Brachytherapy 2018, 17, 788–793. [Google Scholar] [CrossRef] [PubMed]
  8. Hoskin, P.J.; Rojas, A.M.; Ostler, P.J.; Hughes, R.; Lowe, G.J.; Bryant, L. Quality of life after radical radiotherapy for prostate cancer: Longitudinal study from a randomized trial of external beam radiotherapy alone or in combination with high dose rate brachytherapy. Clin. Oncol. 2013, 25, 321–327. [Google Scholar] [CrossRef]
  9. Erickson, B.A.; Bittner, N.H.; Chadha, M.; Mourtada, F.; Demanes, D.J. The American College of Radiology and the American Brachytherapy Society practice parameter for the performance of radionuclide-based high-dose-rate brachytherapy. Brachytherapy 2017, 16, 75–84. [Google Scholar] [CrossRef]
  10. Hoskin, P.J.; Motohashi, K.; Bownes, P.; Bryant, L.; Ostler, P. High dose rate brachytherapy in combination with external beam radiotherapy in the radical treatment of prostate cancer: Initial results of a randomized phase three trial. Radiother. Oncol. 2007, 84, 114–120. [Google Scholar] [CrossRef]
  11. Hoskin, P.J.; Rojas, A.M.; Bownes, P.J.; Lowe, G.J.; Ostler, P.J.; Bryant, L. Randomised trial of external beam radiotherapy alone or combined with high-dose-rate brachytherapy boost for randomize prostate cancer. Radiother. Oncol. 2012, 103, 217–222. [Google Scholar] [CrossRef] [PubMed]
  12. Jawad, M.S.; Dilworth, J.T.; Gustafson, G.S.; Ye, H.; Wallace, M.; Martinez, A.; Chen, P.Y.; Krauss, D.J. Outcomes associated with 3 treatment schedules of high-dose-rate brachytherapy monotherapy for favorable-risk prostate cancer. Int. J. Radiat. Oncol. Biol. Phys. 2016, 94, 657–666. [Google Scholar] [CrossRef] [PubMed]
  13. Barkati, M.; Williams, S.G.; Foroudi, F.; Tai, K.H.; Chander, S.; van Dyk, S.; See, A.; Duchesne, G.M. High-dose-rate brachytherapy as a monotherapy for favorable-risk prostate cancer: A phase II trial. Int. J. Radiat. Oncol. Biol. Phys. 2012, 82, 1889–1896. [Google Scholar] [CrossRef] [PubMed]
  14. Gaudet, M.; Pharand-Charbonneau, M.; Desrosiers, M.-P.; Wright, D.; Haddad, A. Early toxicity and health-related quality of life results of high-dose-rate brachytherapy as monotherapy for low and intermediate-risk prostate cancer. Brachytherapy 2018, 17, 524–529. [Google Scholar] [CrossRef] [PubMed]
  15. Skowronek, J. Low-dose-rate or high-dose-rate brachytherapy in treatment of prostate cancer—Between options. J. Contemp. Brachytherapy 2013, 5, 33–41. [Google Scholar] [CrossRef] [PubMed]
  16. Jaberi, R.; Siavashpour, Z.; Aghamiri, M.R.; Kirisits, C.; Ghaderi, R. Artificial neural network based gynaecological image-guided adaptive brachytherapy treatment planning correction of intra-fractional organs at risk dose variation. J. Contemp. Brachytherapy 2017, 9, 508–518. [Google Scholar] [CrossRef] [PubMed]
  17. Wang, X.; Li, J.; Wang, P.; Yuan, K.; Yin, G.; Wan, B. Image-guided radiation therapy boost in combination with high-dose-rate intracavitary brachytherapy for the treatment of cervical cancer. J. Contemp. Brachytherapy 2016, 8, 122–127. [Google Scholar] [CrossRef] [PubMed]
  18. Otter, S.; Franklin, A.; Ajaz, M.; Stewart, A. Improving the efficiency of image guided brachytherapy in cervical cancer. J. Contemp. Brachytherapy 2016, 8, 557–565. [Google Scholar] [CrossRef] [PubMed]
  19. Skliarenko, J.; Carlone, M.; Tanderup, K.; Han, K.; Beiki-Ardakani, A.; Borg, J.; Chan, K.; Croke, J.; Rink, A.; Simeonov, A.; et al. Technique adaptation, strategic replanning, and team learning during implementation of MR-guided brachytherapy for cervical cancer. Brachytherapy 2018, 17, 86–93. [Google Scholar] [CrossRef]
  20. Han, K.; Milosevic, M.; Fyles, A.; Pintilie, M.; Viswanathan, A.N. Trends in the utilization of brachytherapy in cervical cancer in the United States. Int. J. Radiat. Oncol. Biol. Phys. 2013, 87, 111–119. [Google Scholar] [CrossRef]
  21. Otter, S.; Coates, A.; Franklin, A.; Cunningham, M.; Stewart, A. Improving dose delivery by adding interstitial catheters to fixed geometry applicators in high-dose-rate brachytherapy for cervical cancer. Brachytherapy 2018, 17, 580–586. [Google Scholar] [CrossRef]
  22. Ko, H.C.; Huang, J.Y.; Miller, J.R.; Das, R.K.; Wallace, C.R.; De Costa, A.-M.A.; Francis, D.M.; Straub, M.R.; Anderson, B.M.; Bradley, K.A. Novel use of ViewRay MRI guidance for high-dose-rate brachytherapy in the treatment of cervical cancer. Brachytherapy 2018, 17, 680–688. [Google Scholar] [CrossRef]
  23. Polgár, C.; Ott, O.J.; Hildebrandt, G.; Kauer-Dorner, D.; Knauerhase, H.; Major, T.; Lyczek, J.; Guinot, J.L.; Dunst, J.; Miguelez, C.G.; et al. Late side-effects and cosmetic results of accelerated partial breast irradiation with interstitial brachytherapy versus whole-breast irradiation after breast-conserving surgery for low-risk invasive and in-situ carcinoma of the female breast: 5-year results of a randomized, controlled, phase 3 trial. Lancet Oncol. 2017, 18, 259–268. [Google Scholar] [PubMed]
  24. Strnad, V.; Ott, O.J.; Hildebrandt, G.; Kauer-Dorner, D.; Knauerhase, H.; Major, T.; Lyczek, J.; Guinot, J.L.; Dunst, J.; Miguelez, C.G.; et al. 5-year results of accelerated partial breast irradiation using sole interstitial multicatheter brachytherapy versus whole-breast irradiation with boost after breast-conserving surgery for low-risk invasive and in-situ carcinoma of the female breast: A randomized, phase 3, non-inferiority trial. Lancet 2016, 387, 229–238. [Google Scholar] [PubMed]
  25. Götz, T.I.; Lahmer, G.; Strnad, V.; Bert, C.; Hensel, B.; Tomé, A.M.; Lang, E.W. A tool to automatically analyze electromagnetic tracking data from high dose rate brachytherapy of breast cancer patients. PLoS ONE 2017, 12, e0183608. [Google Scholar] [CrossRef] [PubMed]
  26. Beld, E.; Seevinck, P.R.; Schuurman, J.; Viergever, M.A.; Lagendijk, J.J.; Moerland, M.A. Development and Testing of a Magnetic Resonance (MR) Conditional Afterloader for Source Tracking in Magnetic Resonance Imaging-Guided High-Dose-Rate (HDR) Brachytherapy. Int. J. Radiat. Oncol. 2018, 102, 960–968. [Google Scholar] [CrossRef]
  27. Thomadsen, B.; Lin, S.-W.; Laemmrich, P.; Waller, T.; Cheng, A.; Caldwell, B.; Rankin, R.; Stitt, J. Analysis of treatment delivery errors in brachytherapy using formal risk analysis techniques. Int. J. Radiat. Oncol. Biol. Phys. 2003, 57, 1492–1508. [Google Scholar] [CrossRef]
  28. Wilkinson, D.A.; Kolar, M.D. Failure modes and effects analysis applied to high-dose-rate brachytherapy treatment planning. Brachytherapy 2013, 12, 382–386. [Google Scholar] [CrossRef]
  29. Williamson, J.F. Current brachytherapy quality assurance guidance: Does it meet the challenges of emerging image-guided technologies? Int. J. Radiat. Oncol. Biol. Phys. 2008, 71 (Suppl. 1), S18–S22. [Google Scholar] [CrossRef]
  30. Wadi-Ramahi, S.; Alnajjar, W.; Mahmood, R.; Jastaniyah, N.; Moftah, B. Failure modes and effects analysis in image-guided high-dose-rate brachytherapy: Quality control optimization to reduce errors in treatment volume. Brachytherapy 2016, 15, 669–678. [Google Scholar] [CrossRef]
  31. Beld, E.; Moerland, M.A.; Zijlstra, F.; Viergever, M.A.; Lagendijk, J.J.W.; Seevinck, P.R. MR-based source localization for MR-guided HDR brachytherapy. Phys. Med. Biol. 2018, 63, 085002. [Google Scholar] [CrossRef] [PubMed]
  32. Maenhout, M.; de Battisti, M.B.; Peters, M.; van Vulpen, M.; van den Bosch, M.; Moerland, M.A. The effect of catheter displacement and anatomical variations on the dose distribution in MRI-guided focal HDR brachytherapy for prostate cancer. Brachytherapy 2018, 17, 68–77. [Google Scholar] [CrossRef] [PubMed]
  33. Hellebust, T. Place of modern imaging in brachytherapy planning. Cancer/Radiothérapie 2018, 22, 326–333. [Google Scholar] [CrossRef]
  34. Pötter, R.; Georg, P.; Dimopoulos, J.C.; Grimm, M.; Berger, D.; Nesvacil, N.; Georg, D.; Schmid, M.P.; Reinthaller, A.; Sturdza, A.; et al. Clinical outcome of protocol based image (MRI) guided adaptive brachytherapycombined with 3D conformal radiotherapy with or without chemotherapy in patients with locally advanced cervical cancer. Radiother. Oncol. 2011, 100, 116–123. [Google Scholar] [CrossRef] [PubMed]
  35. Lindegaard, J.; Fokdal, L.U.; Nielsen, S.K.; Juul-Christensen, J.; Tanderup, K. MRI-guidedadaptive radiotherapy in locally advanced cervical cancer from a Nordic per-spective. Acta Oncol. 2013, 52, 1510–1519. [Google Scholar] [CrossRef]
  36. Petric, P.; Kirisits, C. Potential role of TRAns Cervical Endosonography (TRACE) in brachytherapy of cervical cancer: Proof of concept. J. Contemp. Brachytherapy 2016, 8, 215–220. [Google Scholar] [CrossRef] [PubMed]
  37. Hellebust, T.P.; Kirisits, C.; Berger, D.; Pérez-Calatayud, J.; De Brabandere, M.; De Leeuw, A.; Dumas, I.; Hudej, R.; Lowe, G.; Wills, R.; et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group: Considerations and pitfalls in commissioning and applicator reconstruction in 3D image-based treatment planning of cervix cancer brachytherapy. Radiother. Oncol. 2010, 96, 153–160. [Google Scholar] [CrossRef] [PubMed]
  38. De Brabandere, M.; Al-Qaisieh, B.; De Wever, L.; Haustermans, K.; Kirisits, C.; Moerland, M.A.; Oyen, R.; Rijnders, A.; Heuvel, F.V.D.; Siebert, F.-A. CT- and MRI-based seed localization in postimplant evaluation after prostate brachytherapy. Brachytherapy 2013, 12, 580–588. [Google Scholar] [CrossRef]
  39. Hegazy, N.; Pötter, R.; Kirisits, C.; Berger, D.; Federico, M.; Sturdza, A.; Nesvacil, N. High-risk clinical target volume delineation in CT-guided cervical cancer brachytherapy: Impact of information from FIGO stage with or without systematic inclusion of 3D documentation of clinical gynecological examination. Acta Oncol. 2013, 52, 1345–1352. [Google Scholar] [CrossRef] [PubMed]
  40. De Brabandere, M.; Hoskin, P.; Haustermans, K.; Van den Heuvel, F.; Siebert, F.A. Prostate post-implant dosimetry: Interobserver variability in seed location, con-touring and fusion. Radiother. Oncol. 2012, 104, 192–198. [Google Scholar] [CrossRef]
  41. Kim, H.; Houser, C.J.; Kalash, R.; Maceil, C.A.; Palestra, B.; Malush, D.; Beriwal, S. Workflow and efficiency in MRI-based high-dose-rate brachytherapy for cervical cancer in a high-volume brachytherapy center. Brachytherapy 2018, 17, 753–760. [Google Scholar] [CrossRef] [PubMed]
  42. Harkenrider, M.M.; Alite, F.; Silva, S.R.; Small, W. Image-based brachytherapy for the treatment of cervical cancer. Int. J. Radiat. Oncol. Biol. Phys. 2015, 92, 921–934. [Google Scholar] [CrossRef] [PubMed]
  43. Owrangi, A.M.; Prisciandaro, J.I.; Soliman, A.; Ravi, A.; Song, W.Y. Magnetic resonance imaging-guided brachytherapy for cervical cancer: Initiating a program. J. Contemp. Brachytherapy 2015, 7, 417–422. [Google Scholar] [CrossRef] [PubMed]
  44. Tanderup, K.; Viswanathan, A.N.; Kirisits, C.; Frank, S.J. MRI-guided brachytherapy. Semin. Radiat. Oncol. 2014, 24, 181–191. [Google Scholar] [CrossRef] [PubMed]
  45. Viswanathan, A.N.; Beriwal, S.; Santos, J.F.D.L.; Demanes, D.J.; Gaffney, D.; Hansen, J.; Jones, E.; Kirisits, C.; Thomadsen, B.; Erickson, B. American Brachytherapy Society consensus guidelines for locally advanced carcinoma of the cervix. Part II: High-dose-rate brachytherapy. Brachytherapy 2012, 11, 47–52. [Google Scholar] [CrossRef] [PubMed]
  46. Schindel, J.; Muruganandham, M.; Pigge, F.C.; Anderson, J.; Kim, Y. Magnetic resonance imaging (MRI) Markers for MRI-guided high-dose-rate brachytherapy: Novel marker-flange for cervical cancer and marker catheters for prostate cancer. Int. J. Radiat. Oncol. Biol. Phys. 2013, 86, 387–393. [Google Scholar] [CrossRef]
  47. Pötter, R.; Haie-Meder, C.; Van Limbergen, E.; Barillot, I.; De Brabandere, M.; Dimopoulos, J.; Dumas, I.; Erickson, B.; Lang, S.; Nulens, A.; et al. Recommendations from the Gynaecological (GYN) GECESTRO Working Group (II): Concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy–3D volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. Radiother. Oncol. 2006, 78, 67–77. [Google Scholar] [CrossRef] [PubMed]
  48. Campbell-Washburn, A.E.; Faranesh, A.Z.; Lederman, R.J.; Hansen, M.S. Magnetic resonance sequences and rapid acquisition for MR-guided interventions. Magn. Reson. Imaging Clin. N. Am. 2015, 23, 669–679. [Google Scholar] [CrossRef]
  49. Wang, W.; Viswanathan, A.N.; Damato, A.L.; Chen, Y.; Tse, Z.; Pan, L.; Tokuda, J.; Seethamraju, R.T.; Dumoulin, C.L.; Schmidt, E.J.; et al. Evaluation of an active magnetic resonance tracking system for interstitial brachytherapy. Med. Phys. 2015, 42, 7114–7121. [Google Scholar] [CrossRef]
  50. Atalar, E.; Ménard, C. MR-guided interventions for prostate cancer. Magn. Reson. Imaging Clin. N. Am. 2005, 13, 491–504. [Google Scholar] [CrossRef]
  51. Zangos, S.; Eichler, K.; Thalhammer, A.; Schoepf, J.U.; Costello, P.; Herzog, C.; Mack, M.G.; Vogl, T.J. MR-guided interventions of the prostate gland. Minim. Invasive Ther. Allied Technol. 2007, 16, 222–229. [Google Scholar] [CrossRef] [PubMed]
  52. Brown, A.P.; Pugh, T.J.; Swanson, D.A.; Kudchadker, R.J.; Bruno, T.L.; Christensen, E.N.; van Vulpen, M.; Frank, S.J. Improving prostate brachytherapy quality assurance with MRI–CT fusion–based sector analysis in a phase II prospective trial of men with intermediate-risk prostate cancer. Brachytherapy 2013, 12, 401–407. [Google Scholar] [CrossRef] [PubMed]
  53. Tanderup, K.; Nielsen, S.K.; Nyvang, G.-B.; Pedersen, E.M.; Røhl, L.; Aagaard, T.; Fokdal, L.; Lindegaard, J.C. From point A to the sculpted pear: MR image guidance significantly improves tumour dose and sparing of organs at risk in brachytherapy of cervical cancer. Radiother. Oncol. 2010, 94, 173–180. [Google Scholar] [CrossRef] [PubMed]
  54. Gill, B.S.; Kim, H.; Houser, C.J.; Kelley, J.L.; Sukumvanich, P.; Edwards, R.P.; Comerci, J.T.; Olawaiye, A.B.; Huang, M.; Courtney-Brooks, M.; et al. MRI-guided high–dose-rate intracavitary brachytherapy for treatment of cervical cancer: The University of Pittsburgh experience. Int. J. Radiat. Oncol. Biol. Phys. 2015, 91, 540–547. [Google Scholar] [CrossRef] [PubMed]
  55. Lakosi, F.; de Cuypere, M.; Viet Nguyen, P.; Jansen, N.; Warlimont, B.; Gulyban, A.; Gennigens, C.; Seidel, L.; Delbecque, K.; Coucke, P.; et al. Clinical efficacy and toxicity of radio-chemotherapy and magnetic resonance imaging-guided brachytherapy for locally advanced cervical cancer patients: A mono-institutional experience. Acta Oncol. 2015, 54, 1558–1566. [Google Scholar] [CrossRef] [PubMed]
  56. Nomden, C.N.; de Leeuw, A.A.; Roesink, J.M.; Tersteeg, R.J.; Moerland, M.A.; Witteveen, P.O.; Schreuder, H.W.; van Dorst, E.B.; Jürgenliemk-Schulz, I.M. Clinical outcome and dosimetric parameters of chemo-radiation including MRI guided adaptive brachytherapy with tandem-ovoid applicators for cervical cancer patients: A single institution experience. Radiother. Oncol. 2013, 107, 69–74. [Google Scholar] [CrossRef] [PubMed]
  57. Ribeiro, I.; Janssen, H.; De Brabandere, M.; Nulens, A.; De Bal, D.; Vergote, I.; Van Limbergen, E. Long term experience with 3D image guided brachytherapy and clinical outcome in cervical cancer patients. Radiother. Oncol. 2016, 120, 447–454. [Google Scholar] [CrossRef] [PubMed]
  58. Rijkmans, E.C.; Nout, R.A.; Rutten, I.H.H.; Ketelaars, M.; Neelis, K.J.; Laman, M.S.; Coen, V.L.; Gaarenstroom, K.N.; Kroep, J.R.; Creutzberg, C.L. Improved survival of patients with cervical cancer treated with image-guided brachytherapy compared with conventional brachytherapy. Gynecol. Oncol. 2014, 135, 231–238. [Google Scholar] [CrossRef] [PubMed]
  59. Sturdza, A.; Pötter, R.; Fokdal, L.U.; Haie-Meder, C.; Tan, L.T.; Mazeron, R.; Petric, P.; Šegedin, B.; Jurgenliemk-Schulz, I.M.; Nomden, C.; et al. Image guided brachytherapy in locally advanced cervical cancer: Improved pelvic control and survival in RetroEMBRACE, a multicenter cohort study. Radiother. Oncol. 2016, 120, 428–433. [Google Scholar] [CrossRef]
  60. Tanderup, K.; Hellebust, T.P.; Lang, S.; Granfeldt, J.; Pötter, R.; Lindegaard, J.C.; Kirisits, C. Consequences of random and systematic reconstruction uncertainties in 3D image based brachytherapy in cervical cancer. Radiother. Oncol. 2008, 89, 156–163. [Google Scholar] [CrossRef]
  61. Haack, S.; Nielsen, S.K.; Lindegaard, J.C.; Gelineck, J.; Tanderup, K. Applicator reconstruction in MRI 3D image-based dose planning of brachytherapy for cervical cancer. Radiother. Oncol. 2009, 91, 187–193. [Google Scholar] [CrossRef] [PubMed]
  62. Perez-Calatayud, J.; Kuipers, F.; Ballester, F.; Granero, D.; Richart, J.; Rodriguez, S.; Tormo, A.; Santos, M. Exclusive MRI-based tandem and colpostats reconstruction in gynaecological brachytherapy treatment planning. Radiother. Oncol. 2009, 91, 181–186. [Google Scholar] [CrossRef] [PubMed]
  63. Frank, S.J.; Stafford, R.J.; Bankson, J.A.; Li, C.; Swanson, D.A.; Kudchadker, R.J.; Martirosyan, K.S. A novel MRI marker for prostate brachytherapy. Int. J. Radiat. Oncol. Biol. Phys. 2008, 71, 5–8. [Google Scholar] [CrossRef] [PubMed]
  64. Lim, T.Y.; Stafford, R.J.; Kudchadker, R.J.; Sankaranarayanapillai, M.; Ibbott, G.; Rao, A.; Martirosyan, K.S.; Frank, S.J. MRI characterization of cobalt dichloride-N-acetyl cysteine (C4) contrast agent marker for prostate brachytherapy. Phys. Med. Biol. 2014, 59, 2505–2516. [Google Scholar] [CrossRef] [PubMed]
  65. Levenberg, K. A method for the solution of certain non-linear problems in least squares. Quart. Appl. Math. 1944, 2, 164–168. Available online: https://www.ams.org/journals/qam/1944-02-02/S0033-569X-1944-10666-0/S0033-569X-1944-10666-0.pdf (accessed on 17 May 2024). [CrossRef]
  66. Marquardt, D.W. An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Ind. Appl. Math. 1963, 11, 431–441. Available online: https://www.jstor.org/stable/2098941?seq=1#metadata (accessed on 17 May 2024). [CrossRef]
  67. Nelson, K.L.; Runge, V.M. Basic principles of MR contrast. Top. Magn. Reson. Imaging 1995, 7, 124–136. [Google Scholar] [CrossRef] [PubMed]
  68. Henkelman, R.M.; Stanisz, G.J.; Kim, J.K.; Bronskill, M.J. Anisotropy of NMR properties of tissues. Magn. Reson. Med. 1994, 32, 592–601. [Google Scholar] [CrossRef] [PubMed]
  69. Hänninen, N.; Rautiainen, J.; Rieppo, L.; Saarakkala, S.; Nissi, M.J. Orientation anisotropy of quantitative MRI relaxation parameters in ordered tissue. Sci. Rep. 2017, 7, 9606. [Google Scholar] [CrossRef]
  70. Thomas, S.D.; Wachowicz, K.; Fallone, B.G. MRI of prostate brachytherapy seeds at high field: A study in phantom. Med. Phys. 2009, 36, 5228–5234. [Google Scholar] [CrossRef]
  71. Nelson, T.; Tung, S. Temperature dependence of proton relaxation times in vitro. Magn. Reson. Imaging 1987, 5, 189–199. [Google Scholar] [CrossRef]
  72. Graham, S.J.; Bronskill, M.J.; Henkelman, R.M. Time and temperature dependence of MR parameters during thermal coagulation of ex vivo rabbit muscle. Magn. Reson. Med. 1998, 39, 198–203. [Google Scholar] [CrossRef]
  73. Reichenbach, J.R.; Hackländer, T.; Harth, T.; Hofer, M.; Rassek, M.; Mödder, U. 1H T1 and T2 measurements of the MR imaging contrast agents Gd-DTPA and Gd-DTPA BMA at 1.5T. Eur. Radiol. 1997, 7, 264–274. [Google Scholar] [CrossRef]
  74. Mahajan, M.; Kuber, R.; Chaudhari, K.R.; Chaudhari, P.; Ghadage, P.; Naik, R. MR imaging of carcinoma cervix. Indian J. Radiol. Imaging 2013, 23, 247–252. [Google Scholar] [CrossRef]
  75. Camisão, C.C.; Brenna, S.M.F.; Lombardelli, K.V.P.; Djahjah, M.C.R.; Zeferino, L.C. Magnetic resonance imaging in the staging of cervical cancer. Radiol. Bras. 2007, 40, 207–215. [Google Scholar] [CrossRef]
  76. Nicolet, V.; Carignan, L.; Bourdon, F.; Prosmanne, O. MR imaging of cervical carcinoma: A practical staging approach. RadioGraphics 2000, 20, 1539–1549. [Google Scholar] [CrossRef]
  77. Sala, E.; Wakely, S.; Senior, E.; Lomas, D. MRI of malignant neoplasms of the uterine corpus and cervix. Am. J. Roentgenol. 2007, 188, 1577–1587. [Google Scholar] [CrossRef]
  78. Bourgioti, C.; Chatoupis, K.; Moulopoulos, L.A. Current imaging strategies for the evaluation of uterine cervical cancer. World J. Radiol. 2016, 8, 342–354. [Google Scholar] [CrossRef]
  79. Abdellaoui, A.; Iyengar, S.; Freeman, S. Imaging in prostate cancer. Future Oncol. 2011, 7, 679–691. [Google Scholar] [CrossRef]
  80. Kuperman, V.Y.; Alley, M.T. Differentiation between the effects of T1 and T2* shortening in contrast-enhanced MRI of the breast. J. Magn. Reson. Imaging 1999, 9, 172–176. [Google Scholar] [CrossRef]
Figure 1. Test solutions for magnetic resonance imaging (MRI). Each of the C4/saline (C4:S) solutions, with C4:S concentrations varying from 10%:90% to 90%:10%, were placed in nine 50 mL polypropylene centrifuge tubes. Three additional tubes, two filled only with water and the other filled only with oil, were used as controls. The 12 tubes were placed as shown in an acrylic box, which was filled with water and placed at the center of the MRI scanning field.
Figure 1. Test solutions for magnetic resonance imaging (MRI). Each of the C4/saline (C4:S) solutions, with C4:S concentrations varying from 10%:90% to 90%:10%, were placed in nine 50 mL polypropylene centrifuge tubes. Three additional tubes, two filled only with water and the other filled only with oil, were used as controls. The 12 tubes were placed as shown in an acrylic box, which was filled with water and placed at the center of the MRI scanning field.
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Figure 2. (A) Tissue-equivalent female ultrasound training pelvis phantom, model 404A. (B) High-density polyethylene (HDPE) tube (thickness: 0.26 mm; outer diameter: 1.0 mm). (C) HDPE tubing as visualized on kV imaging.
Figure 2. (A) Tissue-equivalent female ultrasound training pelvis phantom, model 404A. (B) High-density polyethylene (HDPE) tube (thickness: 0.26 mm; outer diameter: 1.0 mm). (C) HDPE tubing as visualized on kV imaging.
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Figure 3. (A) Spin–lattice relaxation time (T1), (B) spin–spin relaxation time (T2), (C) spin–lattice relaxation rate (1/T1), and (D) spin–spin relaxation rate (1/T2) at different temperatures for various cobalt dichloride concentrations. Scans were obtained by using a clinical 1.5 T MRI unit in the coronal orientation.
Figure 3. (A) Spin–lattice relaxation time (T1), (B) spin–spin relaxation time (T2), (C) spin–lattice relaxation rate (1/T1), and (D) spin–spin relaxation rate (1/T2) at different temperatures for various cobalt dichloride concentrations. Scans were obtained by using a clinical 1.5 T MRI unit in the coronal orientation.
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Figure 4. T1- and T2-weighted magnetic resonance imaging (MRI) signal intensities at 20 °C (A,C) or at 37 °C (B,D) for various C4/saline ratios. Scans were obtained by using a clinical 1.5 T MRI unit in the coronal orientation.
Figure 4. T1- and T2-weighted magnetic resonance imaging (MRI) signal intensities at 20 °C (A,C) or at 37 °C (B,D) for various C4/saline ratios. Scans were obtained by using a clinical 1.5 T MRI unit in the coronal orientation.
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Figure 5. (A) Spin–lattice relaxation time (T1), (B) spin–spin relaxation time (T2), (C) spin–lattice relaxation rate (1/T1), and (D) spin–spin relaxation rate (1/T2) as a function of C4 concentration, at room temperature, in different magnetic resonance imaging (MRI) scanning orientations. Scans were obtained by using a clinical 1.5 T MRI unit.
Figure 5. (A) Spin–lattice relaxation time (T1), (B) spin–spin relaxation time (T2), (C) spin–lattice relaxation rate (1/T1), and (D) spin–spin relaxation rate (1/T2) as a function of C4 concentration, at room temperature, in different magnetic resonance imaging (MRI) scanning orientations. Scans were obtained by using a clinical 1.5 T MRI unit.
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Figure 6. The visualization of C4 and C4:S in MRI images. C4 or C4:S (a 50:50 proportion of C4 and saline) in HDPE tubes implanted in a phantom of a female pelvis were positively visualized in both T1- and T2-weighted sequences; the visualization of C4:S was better than that of C4 in the T2 image.
Figure 6. The visualization of C4 and C4:S in MRI images. C4 or C4:S (a 50:50 proportion of C4 and saline) in HDPE tubes implanted in a phantom of a female pelvis were positively visualized in both T1- and T2-weighted sequences; the visualization of C4:S was better than that of C4 in the T2 image.
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Wang, L.; Ding, Y.; Bruno, T.L.; Stafford, R.J.; Lin, E.; Bathala, T.K.; Sanders, J.W.; Ning, M.S.; Ma, J.; Klopp, A.H.; et al. A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS). Cancers 2024, 16, 1922. https://doi.org/10.3390/cancers16101922

AMA Style

Wang L, Ding Y, Bruno TL, Stafford RJ, Lin E, Bathala TK, Sanders JW, Ning MS, Ma J, Klopp AH, et al. A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS). Cancers. 2024; 16(10):1922. https://doi.org/10.3390/cancers16101922

Chicago/Turabian Style

Wang, Li, Yao Ding, Teresa L. Bruno, R. Jason Stafford, Eric Lin, Tharakeswara K. Bathala, Jeremiah W. Sanders, Matthew S. Ning, Jingfei Ma, Ann H. Klopp, and et al. 2024. "A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS)" Cancers 16, no. 10: 1922. https://doi.org/10.3390/cancers16101922

APA Style

Wang, L., Ding, Y., Bruno, T. L., Stafford, R. J., Lin, E., Bathala, T. K., Sanders, J. W., Ning, M. S., Ma, J., Klopp, A. H., Venkatesan, A., Wang, J., Martirosyan, K. S., & Frank, S. J. (2024). A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS). Cancers, 16(10), 1922. https://doi.org/10.3390/cancers16101922

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