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1.
Sci Rep ; 14(1): 9563, 2024 04 26.
Article in English | MEDLINE | ID: mdl-38671043

ABSTRACT

Extracting longitudinal image quantitative data, known as delta-radiomics, has the potential to capture changes in a patient's anatomy throughout the course of radiation treatment for prostate cancer. Some of the major challenges of delta-radiomics studies are contouring the structures for individual fractions and accruing patients' data in an efficient manner. The manual contouring process is often time consuming and would limit the efficiency of accruing larger sample sizes for future studies. The problem is amplified because the contours are often made by highly trained radiation oncologists with limited time to dedicate to research studies of this nature. This work compares the use of automated prostate contours generated using a deformable image-based algorithm to make predictive models of genitourinary and changes in total international prostate symptom score in comparison to manually contours for a cohort of fifty patients. Area under the curve of manual and automated models were compared using the Delong test. This study demonstrated that the delta-radiomics models were similar for both automated and manual delta-radiomics models.


Subject(s)
Cone-Beam Computed Tomography , Prostatic Neoplasms , Humans , Male , Prostatic Neoplasms/radiotherapy , Prostatic Neoplasms/diagnostic imaging , Cone-Beam Computed Tomography/methods , Algorithms , Aged , Middle Aged , Radiation Injuries/etiology , Radiomics
2.
Radiat Oncol ; 19(1): 13, 2024 Jan 23.
Article in English | MEDLINE | ID: mdl-38263237

ABSTRACT

BACKGROUND: To assess the feasibility of CBCT-based adaptive intensity modulated proton therapy (IMPT) using automated planning for treatment of head and neck (HN) cancers. METHODS: Twenty HN cancer patients who received radiotherapy and had pretreatment CBCTs were included in this study. Initial IMPT plans were created using automated planning software for all patients. Synthetic CTs (sCT) were then created by deforming the planning CT (pCT) to the pretreatment CBCTs. To assess dose calculation accuracy on sCTs, repeat CTs (rCTs) were deformed to the pretreatment CBCT obtained on the same day to create deformed rCT (rCTdef), serving as gold standard. The dose recalculated on sCT and on rCTdef were compared by using Gamma analysis. The accuracy of DIR generated contours was also assessed. To explore the potential benefits of adaptive IMPT, two sets of plans were created for each patient, a non-adapted IMPT plan and an adapted IMPT plan calculated on weekly sCT images. The weekly doses for non-adaptive and adaptive IMPT plans were accumulated on the pCT, and the accumulated dosimetric parameters of two sets were compared. RESULTS: Gamma analysis of the dose recalculated on sCT and rCTdef resulted in a passing rate of 97.9% ± 1.7% using 3 mm/3% criteria. With the physician-corrected contours on the sCT, the dose deviation range of using sCT to estimate mean dose for the most organ at risk (OARs) can be reduced to (- 2.37%, 2.19%) as compared to rCTdef, while for V95 of primary or secondary CTVs, the deviation can be controlled within (- 1.09%, 0.29%). Comparison of the accumulated doses from the adaptive planning against the non-adaptive plans reduced mean dose to constrictors (- 1.42 Gy ± 2.79 Gy) and larynx (- 2.58 Gy ± 3.09 Gy). The reductions result in statistically significant reductions in the normal tissue complication probability (NTCP) of larynx edema by 7.52% ± 13.59%. 4.5% of primary CTVs, 4.1% of secondary CTVs, and 26.8% tertiary CTVs didn't meet the V95 > 95% constraint on non-adapted IMPT plans. All adaptive plans were able to meet the coverage constraint. CONCLUSION: sCTs can be a useful tool for accurate proton dose calculation. Adaptive IMPT resulted in better CTV coverage, OAR sparing and lower NTCP for some OARs as compared with non-adaptive IMPT.


Subject(s)
Blood Coagulation Disorders , Head and Neck Neoplasms , Proton Therapy , Radiotherapy, Intensity-Modulated , Humans , Protons , Cone-Beam Computed Tomography
3.
Int J Radiat Oncol Biol Phys ; 118(2): 325-329, 2024 Feb 01.
Article in English | MEDLINE | ID: mdl-37689369

ABSTRACT

PURPOSE: The American Association of Physicists in Medicine Radiation Oncology Medical Physics Education Subcommittee (ROMPES) has updated the radiation oncology physics core curriculum for medical residents in the radiation oncology specialty. METHODS AND MATERIALS: Thirteen physicists from the United States and Canada involved in radiation oncology resident education were recruited to ROMPES. The group included doctorates and master's of physicists with a range of clinical or academic roles. Radiation oncology physician and resident representatives were also consulted in the development of this curriculum. In addition to modernizing the material to include new technology, the updated curriculum is consistent with the format of the American Board of Radiology Physics Study Guide Working Group to promote concordance between current resident educational guidelines and examination preparation guidelines. RESULTS: The revised core curriculum recommends 56 hours of didactic education like the 2015 curriculum but was restructured to provide resident education that facilitates best clinical practice and scientific advancement in radiation oncology. The reference list, glossary, and practical modules were reviewed and updated to include recent literature and clinical practice examples. CONCLUSIONS: ROMPES has updated the core physics curriculum for radiation oncology residents. In addition to providing a comprehensive curriculum to promote best practice for radiation oncology practitioners, the updated curriculum aligns with recommendations from the American Board of Radiology Physics Study Guide Working Group. New technology has been integrated into the curriculum. The updated curriculum provides a framework to appropriately cover the educational topics for radiation oncology residents in preparation for their subsequent career development.


Subject(s)
Education, Medical , Internship and Residency , Radiation Oncology , Humans , United States , Radiation Oncology/education , Health Physics/education , Curriculum
4.
Brachytherapy ; 22(5): 649-654, 2023.
Article in English | MEDLINE | ID: mdl-37271655

ABSTRACT

OBJECTIVE: CivaSheet is a palladium-103, implantable, intraoperative radiation therapy device which emits unidirectional radiation that enables boost doses in patients who have otherwise received the maximum radiation dose. Here, we present our initial clinical experience with the first 10 cases using this new technology. METHODS AND MATERIALS: A retrospective chart review of all patients with STS treated with surgical resection and CivaSheet placement at the University of Miami Hospital, a tertiary care center, from January 2018 to December 2019, was performed. Adjuvant radiation was administered by a palladium-103 implant, which delivered an average of 47 Gy (35-55) to a depth of 5 mm. RESULTS: Nine patients underwent CivaSheet placement from January 2018 until December 2019 for a total of 10 CivaSheets placed (1 patient had 2 CivaSheets inserted) and followed for a mean of 27 months (4-45 months). Four tumors were located in the retroperitoneum, two in the chest, two in the groin, and two within the lower extremity. At the time of tumor resection and CivaSheet placement, tumor sizes ranged from 2.5 cm to 13.8 cm with an average of 7.6 cm. Four patients necessitated musculocutaneous tissue flaps for closure and reconstruction. All patients with Grade 4 complications had flap reconstruction and prior radiation. Four patients' tumors recurred locally for a local recurrence rate of 40%. Three patients had modified accordion Grade 4 complications necessitating additional surgery for CivaSheet removal. Extremity tumors unanimously developed modified accordion Grade 4 adverse events. CONCLUSIONS: CivaSheet may be an acceptable alternative treatment modality compared to prior brachytherapy methods.


Subject(s)
Brachytherapy , Sarcoma , Soft Tissue Neoplasms , Humans , Brachytherapy/methods , Retrospective Studies , Radioisotopes/therapeutic use , Sarcoma/radiotherapy , Sarcoma/surgery , Sarcoma/pathology , Soft Tissue Neoplasms/radiotherapy
5.
Cancers (Basel) ; 15(3)2023 Jan 20.
Article in English | MEDLINE | ID: mdl-36765603

ABSTRACT

In transarterial radioembolization (TARE) of hepatocellular carcinoma (HCC) with Yttrium-90 (Y-90) microspheres, recent studies correlate dosimetry from bremsstrahlung single photon emission tomography (SPECT/CT) with treatment outcomes; however, these studies focus on measures of central tendency rather than volumetric coverage metrics commonly used in radiation oncology. We hypothesized that three-dimensional (3D) isodose coverage of gross tumor volume (GTV) is the driving factor in HCC treatment response to TARE and is best assessed using advanced dosimetry techniques applied to nuclear imaging of actual Y-90 biodistribution. We reviewed 51 lobar TARE Y-90 treatments of 43 HCC patients. Dose prescriptions were 120 Gy for TheraSpheres and 85 Gy for SIR-Spheres. All patients underwent post-TARE Y-90 bremsstrahlung SPECT/CT imaging. Commercial software was used to contour gross tumor volume (GTV) and liver on post-TARE SPECT/CT. Y-90 dose distributions were calculated using the Local Deposition Model based on post-TARE SPECT/CT activity maps. Median gross tumor volume (GTV) dose; GTV receiving less than 100 Gy, 70 Gy and 50 Gy; minimum dose covering the hottest 70%, 95%, and 98% of the GTV (D70, D95, D98); mean dose to nontumorous liver, and disease burden (GTV/liver volume) were obtained. Clinical outcomes were collected for all patients by chart and imaging review. HCC treatment response was assessed according to the modified response criteria in solid tumors (mRECIST) guidelines. Kaplan-Meier (KM) survival estimates and multivariate regression analyses (MVA) were performed using STATA. Median survival was 22.5 months for patients achieving objective response (OR) in targeted lesions (complete response (CR) or partial response (PR) per mRECIST) vs. 7.6 months for non-responders (NR, stable disease or disease progression per mRECIST). On MVA, the volume of underdosed tumor (GTV receiving less than 100 Gy) was the only significant dosimetric predictor for CR (p = 0.0004) and overall survival (OS, p = 0.003). All targets with less than CR (n = 39) had more than 20 cc of underdosed tumor. D70 (p = 0.038) correlated with OR, with mean D70 of 95 Gy for responders and 60 Gy for non-responders (p = 0.042). On MVA, mean dose to nontumorous liver trended toward significant association with grade 3+ toxicity (p = 0.09) and correlated with delivered activity (p < 0.001) and burden of disease (p = 0.05). Dosimetric models supplied area under the curve estimates of > 0.80 predicting CR, OR, and ≥grade 3 acute toxicity. Dosimetric parameters derived from the retrospective analysis of post-TARE Y-90 bremsstrahlung SPECT/CT after lobar treatment of HCC suggest that volumetric coverage of GTV, not a high mean or median dose, is the driving factor in treatment response and that this is best assessed through the analysis of actual Y-90 biodistribution.

6.
Sci Rep ; 12(1): 20136, 2022 11 22.
Article in English | MEDLINE | ID: mdl-36418901

ABSTRACT

For prostate cancer (PCa) patients treated with definitive radiotherapy (RT), acute and late RT-related genitourinary (GU) toxicities adversely impact disease-specific quality of life. Early warning of potential RT toxicities can prompt interventions that may prevent or mitigate future adverse events. During intensity modulated RT (IMRT) of PCa, daily cone-beam computed tomography (CBCT) images are used to improve treatment accuracy through image guidance. This work investigated the performance of CBCT-based delta-radiomic features (DRF) models to predict acute and sub-acute International Prostate Symptom Scores (IPSS) and Common Terminology Criteria for Adverse Events (CTCAE) version 5 GU toxicity grades for 50 PCa patients treated with definitive RT. Delta-radiomics models were built using logistic regression, random forest for feature selection, and a 1000 iteration bootstrapping leave one analysis for cross validation. To our knowledge, no prior studies of PCa have used DRF models based on daily CBCT images. AUC of 0.83 for IPSS and greater than 0.7 for CTCAE grades were achieved as early as week 1 of treatment. DRF extracted from CBCT images showed promise for the development of models predictive of RT outcomes. Future studies will include using artificial intelligence and machine learning to expand CBCT sample sizes available for radiomics analysis.


Subject(s)
Prostatic Neoplasms , Urogenital Diseases , Male , Humans , Prostate/diagnostic imaging , Pilot Projects , Quality of Life , Artificial Intelligence , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/radiotherapy , Cone-Beam Computed Tomography
7.
Brachytherapy ; 21(6): 896-903, 2022.
Article in English | MEDLINE | ID: mdl-36137939

ABSTRACT

PURPOSE: I125 Eye Plaque brachytherapy is the standard treatment for medium-sized uveal melanomas (UM). Patients develop radiation toxicities (RTT), including radiation maculopathy (RM), radiation neovascular glaucoma/iris neovascularization (RNGI) and radiation optic neuropathy (RON). We aim to investigate demographics, pretreatment tumor characteristics and posttreatment complications as predictors of RTT. METHODS AND MATERIALS: An IRB-approved single-institution retrospective chart review was performed from 2011 to 2019 for patients with posterior UM treated with brachytherapy. We collected demographics, pretreatment tumor characteristics and posttreatment complications. Univariate analysis (UVA) and multivariate analysis (MVA) were performed using logistic regression model. Hazard ratios (HR) and corresponding p-values were reported. All tests were two-sided; statistical significance was considered when p<0.05. RESULTS: Two hundred and fifty eight patients were evaluated. Median follow-up was 33.50 months (range 3.02-97.31). 178 patients (69.0%) had RTT. 131 patients (50.8%) developed RM. Fifty-six patients (21.7%) developed RON. Nineteen patients (7.4%) developed RNGI. UVA found shorter distance to fovea (DF) (p = 0.04), posttreatment exudative retinal detachment (PERD) (p = 0.001) and posttreatment vitreous hemorrhage (PVH) (p = 0.001) are associated with RTT. MVA found shorter DF (HR=1.03, p = 0.04), PERD (HR=2.52, p = 0.01) and PVH (HR=3.34, p = 0.006) are associated with RTT. MVA found female sex (HR=1.731, p = 0.031) and tumor height (HR=1.13, p = 0.013) are associated with RM and pretreatment retinal detachment (HR=3.41, p<0.001) is associated with RON. CONCLUSIONS: Shorter DF, PERD and PVH are associated with RTT; female sex and tumor height are associated with RM and tumor height is associated with RON. These findings serve as prognostic tools to counsel patients and promote early intervention in management of RTT.


Subject(s)
Brachytherapy , Optic Nerve Diseases , Radiation Injuries , Retinal Detachment , Retinal Diseases , Uveal Neoplasms , Humans , Female , Brachytherapy/methods , Retinal Detachment/complications , Retrospective Studies , Uveal Neoplasms/radiotherapy , Uveal Neoplasms/pathology , Radiation Injuries/etiology , Vitreous Hemorrhage/complications , Optic Nerve Diseases/etiology , Retinal Diseases/etiology , Postoperative Complications
8.
Ocul Oncol Pathol ; 8(3): 175-180, 2022 Nov.
Article in English | MEDLINE | ID: mdl-37431398

ABSTRACT

Introduction: Iodine-125 brachytherapy is an effective eye-sparing treatment for uveal melanoma. Previous work has shown that uveal melanomas cluster into distinct molecular classes based on gene expression profiles - discriminating low-grade from high-grade tumors. Our objective was to identify clinical and molecular predictors of local recurrence (LR) and progression-free survival (PFS). Methods: We constructed a retrospective database of uveal melanoma patients from the University of Miami's electronic medical records that were treated between January 8, 2012, and January 5, 2019, with either COMS-style or Eye Physics plaque. Data on tumor characteristics, pretreatment retinal complications, post-plaque treatments, LR, and PFS were collected. Univariate and multivariate Cox models for cumulative incidence of LR and PFS were conducted using SAS version 9.4. Results: We identified 262 patients, with a median follow-up time of 33.5 months. Nineteen patients (7.3%) had LR, and 56 patients (21.4%) were classified as PFS. We found that ocular melanocytosis (hazard ratio = 5.55, p < 0.001) had the greatest impact on PFS. Genetic expression profile did not predict LR outcomes (hazard ratio = 0.51, p = 0.297). Conclusion: These findings help physicians identify predictors for short-term brachytherapy outcomes, allowing better shared decision making with patients preoperatively when deciding between brachytherapy versus enucleation. Patients stratified to higher risk groups based on preoperative characteristics such as ocular melanocytosis should be monitored more closely. Future studies must validate these findings using a prospective cohort study.

9.
Sci Rep ; 11(1): 22737, 2021 11 23.
Article in English | MEDLINE | ID: mdl-34815464

ABSTRACT

This study provides a quantitative assessment of the accuracy of a commercially available deformable image registration (DIR) algorithm to automatically generate prostate contours and additionally investigates the robustness of radiomic features to differing contours. Twenty-eight prostate cancer patients enrolled on an institutional review board (IRB) approved protocol were selected. Planning CTs (pCTs) were deformably registered to daily cone-beam CTs (CBCTs) to generate prostate contours (auto contours). The prostate contours were also manually drawn by a physician. Quantitative assessment of deformed versus manually drawn prostate contours on daily CBCT images was performed using Dice similarity coefficient (DSC), mean distance-to-agreement (MDA), difference in center-of-mass position (ΔCM) and difference in volume (ΔVol). Radiomic features from 6 classes were extracted from each contour. Lin's concordance correlation coefficient (CCC) and mean absolute percent difference in radiomic feature-derived data (mean |%Δ|RF) between auto and manual contours were calculated. The mean (± SD) DSC, MDA, ΔCM and ΔVol between the auto and manual prostate contours were 0.90 ± 0.04, 1.81 ± 0.47 mm, 2.17 ± 1.26 mm and 5.1 ± 4.1% respectively. Of the 1,010 fractions under consideration, 94.8% of DIRs were within TG-132 recommended tolerance. 30 radiomic features had a CCC > 0.90 and 21 had a mean |%∆|RF < 5%. Auto-propagation of prostate contours resulted in nearly 95% of DIRs within tolerance recommendations of TG-132, leading to the majority of features being regarded as acceptably robust. The use of auto contours for radiomic feature analysis is promising but must be done with caution.


Subject(s)
Algorithms , Cone-Beam Computed Tomography/methods , Image Processing, Computer-Assisted/methods , Prostatic Neoplasms/pathology , Radiotherapy Planning, Computer-Assisted/methods , Radiotherapy, Intensity-Modulated/methods , Tomography, X-Ray Computed/methods , Humans , Male , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/radiotherapy
10.
EJNMMI Res ; 11(1): 96, 2021 Sep 28.
Article in English | MEDLINE | ID: mdl-34585259

ABSTRACT

BACKGROUND: 99mTc-macroaggregated albumin (99mTc-MAA) scintigraphy is utilized in treatment planning for Yttrium-90 (90Y) Selective Internal Radiation Therapy (SIRT) of liver tumors to evaluate hepatopulmonary shunting by calculating the lung shunt fraction (LSF). The purpose of this study was to evaluate if LSF calculation using SPECT/CT instead of planar gamma camera imaging is more accurate and if this can potentially lead to more effective treatment planning of hepatic lesions while avoiding excessive pulmonary irradiation. RESULTS: LSF calculation was obtained using two different methodologies in 85 cases from consecutive patients intended to receive 90Y SIRT. The first method was based on planar gamma camera imaging in the anterior and posterior views with geometric mean calculation of the LSF from regions of interest of the liver and lungs. The second method was based on segmentation of the liver and lungs from SPECT/CT images of the thorax and abdomen. The differences in planar imaging versus SPECT/CT derived LSF values along with the estimated absorbed lung mean dose (LMD) were evaluated. The LSF values were higher in planar imaging versus SPECT/CT in 81/85 cases, with a mean value of 8.5% vs. 4.6% respectively; the difference was statistically significant using a paired t-test (alpha = 0.05). In those patients who received SIRT, the estimated absorbed LMD calculated with planar imaging was significantly higher than with SPECT/CT (t-test, P < 0.005). Repeated phantom experiments using an anthropomorphic torso phantom with variable 99mTc activity concentrations for the liver and lungs were performed with the standard patient protocol, demonstrated improved accuracy of the LSF calculation based on SPECT/CT than planar imaging (mean overestimated value of 6% vs. 26%). CONCLUSIONS: This study demonstrates that LSF calculation using planar imaging can be significantly overestimated while calculation using SPECT/CT imaging and appropriate segmentation tools can be more accurate. Minimizing the errors in obtaining the LSF can lead to more effective 90Y SIRT treatment planning for hepatic tumors while ensuring the lung dose will not exceed the standard acceptable safety thresholds.

11.
Int J Radiat Oncol Biol Phys ; 111(4): 1058-1065, 2021 11 15.
Article in English | MEDLINE | ID: mdl-34380009

ABSTRACT

PURPOSE: Verification of patient position through pretreatment setup imaging is crucial in modern radiation therapy. As treatment complexity increases and technology evolves, physicist-physician collaboration becomes imperative for safe and successful radiation delivery. Despite the importance of both, residency programs lack formal interprofessional education (IPE) activities or structured training for image verification. Here we show the impact of an interprofessional image verification workshop for residents in a multi-institutional setting. METHODS: The workshop included a lecture by the attending physicist and physician, and hands-on image registration practice by learners (medical physics residents, MP; and radiation oncology residents, RO). All participants filled out pre- and postactivity surveys and rated their comfort from 1 to 10 in (A) selecting what type of imaging to order for a given case and (B) independently assessing the setup quality based on imaging. A paired 1-tailed t test (α = 0.05) was used to evaluate significance; Spearman rank correlation coefficient was used to assess correlation of ratings and RO postgraduate year (PGY). Surveys had free-response questions about IPE and image verification activities in residency. RESULTS: A total of 71 residents from 7 institutions participated between 2018 and 2020. Pre- and postsurveys were completed by 50 residents (38RO, 12MP) and showed an increase in (A) from 5.5 ± 2.2 to 7.1 ± 1.6 (P < .001) and in (B) from 5.1 ± 2.3 to 6.8 ± 1.5 (P < .001), with significant increases per subgroup (AΔ, RO = 1.8 ± 1.7, P < .001; BΔ, RO = 1.9 ± 1.8, P <. 001; AΔ, MP = 1.1 ± 1.4, P = .012; BΔ, MP = 1.2 ± 1.6, P = .016). RO confidence scores moderately correlated with PGY. Survey responses indicated that image verification training is mostly unstructured, with extent of exposure varying by program and attending; most with little-to-no training. Time constraints were identified as the main barrier. IPE was noted as a useful way to incorporate different perspectives into the process. CONCLUSIONS: Formal image verification training increases resident comfort with setup imaging review and provides opportunities for interprofessional collaboration in radiation oncology residency programs.


Subject(s)
Physicians , Clinical Competence , Humans , Internship and Residency , Physics , Surveys and Questionnaires
12.
Brachytherapy ; 20(6): 1289-1295, 2021.
Article in English | MEDLINE | ID: mdl-34193361

ABSTRACT

PURPOSE: Tilting of the posterior plaque margin during eye plaque brachytherapy can lead to tumor underdosing and increased risk of local recurrence. We performed a quantitative analysis of the dosimetric effects of plaque tilt as a function of tumor position, basal dimension, height and plaque type using 3D treatment planning software. MATERIALS AND METHODS: Posterior and anterior tumors with largest basal dimensions of 6, 12 and 18 mm and heights of 4, 7 and 10 mm were modeled. Both Eye Physics and COMS plaques were simulated and uniformly loaded. Plans were normalized to 85 Gy at the tumor apex. Posterior plaque tilts of 1, 2, 3 and 4 mm were simulated. RESULTS: Volumetric coverage is more sensitive to tilt than the area coverage. Wide, flat tumors are more susceptible to tilt. Apical dose changed significantly as a function of tumor height and diameter. No other parameter exhibited significant differences. Posterior tumors are slightly more susceptible to tilt due to the use of notched plaques. Plaque type does not significantly alter the effect of plaque tilt. CONCLUSIONS: Wide, flat tumors are the most susceptible to plaque tilt. Tumor location or plaque type does not have a significant effect on dosimetry changes from plaque tilt. Robust clinical procedures such as the use of mattress sutures, pre- and post-implant ultrasound and post-implant dosimetry can all mitigate the risk associated with plaque tilt.


Subject(s)
Brachytherapy , Eye Neoplasms , Melanoma , Brachytherapy/methods , Humans , Radiometry , Radiotherapy Dosage
13.
J Surg Case Rep ; 2021(4): rjab078, 2021 Apr.
Article in English | MEDLINE | ID: mdl-33959251

ABSTRACT

Yttrium-90 (Y-90) trans-arterial radioembolization (TARE) is used in the management of unresectable hepatocellular carcinoma (HCC). During the last 5 years, dosimetry software has been developed to allow for a more rigorous approach of dose prescription in Y-90 TARE. We present here a case study of a 77-year-old woman diagnosed with HCC, who underwent a Y-90 TARE as a bridge procedure to liver resection. This clinical scenario represents a unique opportunity to illustrate the predictive value of dosimetric findings correlating dosimetry with pathological findings. In this case, Y-90 TARE dosimetry was predictive of treatment response in which the tumor received a mean dose of 156 Gy and demonstrated a complete pathologic response.

14.
Med Phys ; 48(5): 2386-2399, 2021 May.
Article in English | MEDLINE | ID: mdl-33598943

ABSTRACT

PURPOSE: Radiomic features of cone-beam CT (CBCT) images have potential as biomarkers to predict treatment response and prognosis for patients of prostate cancer. Previous studies of radiomic feature analysis for prostate cancer were assessed in a variety of imaging modalities, including MRI, PET, and CT, but usually limited to a pretreatment setting. However, CBCT images may provide an opportunity to capture early morphological changes to the tumor during treatment that could lead to timely treatment adaptation. This work investigated the quality of CBCT-based radiomic features and their relationship with reconstruction methods applied to the CBCT projections and the preprocessing methods used in feature extraction. Moreover, CBCT features were correlated with planning CT (pCT) features to further assess the viability of CBCT radiomic features. METHODS: The quality of 42 CBCT-based radiomic features was assessed according to their repeatability and reproducibility. Repeatability was quantified by correlating radiomic features between 20 CBCT scans that also had repeated scans within 15 minutes. Reproducibility was quantified by correlating radiomic features between the planning CT (pCT) and the first fraction CBCT for 20 patients. Concordance correlation coefficients (CCC) of radiomic features were used to estimate the repeatability and reproducibility of radiomic features. The same patient dataset was assessed using different reconstruction methods applied to the CBCT projections. CBCT images were generated using 18 reconstruction methods using iterative (iCBCT) and standard (sCBCT) reconstructions, three convolution filters, and five noise suppression filters. Eighteen preprocessing settings were also considered. RESULTS: Overall, CBCT radiomic features were more repeatable than reproducible. Five radiomic features are repeatable in > 97% of the reconstruction and preprocessing methods, and come from the gray-level size zone matrix (GLSZM), neighborhood gray-tone difference matrix (NGTDM), and gray-level-run length matrix (GLRLM) radiomic feature classes. These radiomic features were reproducible in > 9.8% of the reconstruction and preprocessing methods. Noise suppression and convolution filter smoothing increased radiomic features repeatability, but decreased reproducibility. The top-repeatable iCBCT method (iCBCT-Sharp-VeryHigh) is more repeatable than the top-repeatable sCBCT method (sCBCT-Smooth) in 64% of the radiomic features. CONCLUSION: Methods for reconstruction and preprocessing that improve CBCT radiomic feature repeatability often decrease reproducibility. The best approach may be to use methods that strike a balance repeatability and reproducibility such as iCBCT-Sharp-VeryLow-1-Lloyd-256 that has 17 repeatable and eight reproducible radiomic features. Previous radiomic studies that only used pCT radiomic features have generated prognostic models of prostate cancer outcome. Since our study indicates that CBCT radiomic features correlated well with a subset of pCT radiomic features, one may expect CBCT radiomics to also generate prognostic models for prostate cancer.


Subject(s)
Prostatic Neoplasms , Spiral Cone-Beam Computed Tomography , Cone-Beam Computed Tomography , Humans , Magnetic Resonance Imaging , Male , Prostatic Neoplasms/diagnostic imaging , Reproducibility of Results
15.
Phys Med ; 77: 154-159, 2020 Sep.
Article in English | MEDLINE | ID: mdl-32862068

ABSTRACT

PURPOSE: Hypofractionated radiotherapy for prostate cancer reduces the inconvenience of an extended treatment course but the appropriate treatment margin to ensure tumor control while minimizing toxicity is not standardized. Using a novel dose accumulation workflow with iterative CBCT (iCBCT) images, we were able to validate treatment margins. METHODS: Sixteen patients treated to the prostate on a hypofractionated clinical trial were selected. Prescription dose was 3625 cGy to > 95% of the PTV in 5 fractions with a boost to 4000 cGy to the high risk GTV (if applicable). PTV margin expansion was 5 mm isotropic except 3 mm posterior, no margin for the GTV. Daily iCBCT images were obtained while practicing strict bladder and rectal filling protocols. Using a novel adaptive dose accumulation workflow, synthetic CTs were created and the daily delivered dose was recalculated. The daily dose distributions were accumulated and target coverage and organ dose were assessed. RESULTS: Although the PTV coverage dropped for the accumulated dose, the prostate coverage was not compromised. The differences in bladder and anorectum dose were not significantly different. Four patients received a boost to the GTV and a significant decrease in coverage was noted in the accumulated dose. CONCLUSIONS: The novel dose accumulation workflow demonstrated that daily iCBCT images can be used for dose accumulation. We found that our clinical treatment margins resulted in adequate dose to the prostate while sparing OARs. If the goal is to deliver the full dose to an intra-prostatic GTV, a margin may be appropriate.


Subject(s)
Prostatic Neoplasms , Radiotherapy, Intensity-Modulated , Spiral Cone-Beam Computed Tomography , Humans , Male , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/radiotherapy , Radiotherapy Dosage , Radiotherapy Planning, Computer-Assisted , Workflow
16.
Ocul Oncol Pathol ; 6(3): 210-218, 2020 May.
Article in English | MEDLINE | ID: mdl-32509767

ABSTRACT

BACKGROUND: Treatment planning for I-125 plaque therapy for uveal melanoma has advanced significantly since the Collaborative Ocular Melanoma Study trial, with more widely available image-guided planning and improved dosimetry. OBJECTIVE: We evaluated real-world practice patterns for I-125 plaque brachytherapy in the United States by studying practice patterns at centers that comprise the Ocular Oncology Study Consortium (OOSC). METHODS: The OOSC database and responses to a treatment practice survey were evaluated. The database contains treatment information from 9 institutions. Patients included in the database were treated between 2010 and 2014. The survey was conducted in 2018 and current treatment planning methods and prescriptions were queried. RESULTS: Examination of the OOSC database revealed that average doses to critical structures were highly consistent, with the exception of one institution. Survey responses indicated that most centers followed published guidelines regarding dose and prescription point. Dose rate ranged from 51 to 118 cGy/h. As of 2018, most institutions use pre-loaded plaques and fundus photographs and/or computed tomography or magnetic resonance imaging in planning. CONCLUSIONS: While there were differences in dosimetric practices, overall agreement in plaque brachytherapy practices was high among OOSC institutions. Clinical margins and planning systems were similar among institutions, while prescription dose, dose rates, and dosimetry varied.

17.
Brachytherapy ; 19(2): 249-254, 2020.
Article in English | MEDLINE | ID: mdl-32061535

ABSTRACT

PURPOSE: A common treatment planning technique for eye plaque brachytherapy is to model the tumor as an ellipse. For posterior tumors near the optic disc and fovea, this approach may lead to overlap between tumor and the organ at risk (OAR). We hypothesized that a superior plan can be generated by modeling the actual tumor shape. MATERIALS AND METHODS: Forty eye plaque patients with tumors <1 cm from the optic disc and fovea were selected. Two treatment plans were generated for each patient: an elliptical tumor model plan and a true tumor model plan. Dosimetric data were collected for each plan, and Wilcoxon signed-rank tests were used to asses any statistically significant differences. RESULTS: Equivalent tumor coverage was confirmed between the elliptical and true tumor plans for all patients. Qualitative analysis showed greater dosimetric differences between plans as the distance from the OARs increased from 0 to 2 mm but the largest differences were observed between 2 and 4 mm. Minimal differences between models were seen beyond 4 mm. Statistically significant dosimetric improvements were found for tumors <4 mm from the fovea and <2 mm from the optic disc. CONCLUSIONS: Intuitively, accurate modeling of the tumor accounting for irregularities in the shape should result in a more conformal plan and an overall reduction in OAR dose. However, this technique is only beneficial for tumors that are within 4 mm of the fovea or optic disc. An elliptical tumor model allows for an acceptable plan unless the tumor is located posteriorly and has an irregular shape.


Subject(s)
Brachytherapy , Eye Neoplasms/pathology , Eye Neoplasms/radiotherapy , Melanoma/pathology , Melanoma/radiotherapy , Radiotherapy Planning, Computer-Assisted/methods , Humans , Optic Disk , Organs at Risk , Radiation Dosage , Radiotherapy Dosage
18.
Int J Radiat Oncol Biol Phys ; 107(2): 305-315, 2020 06 01.
Article in English | MEDLINE | ID: mdl-32084522

ABSTRACT

PURPOSE: A phase I clinical trial was designed to test the feasibility and toxicity of administering high-dose spatially fractionated radiation therapy to magnetic resonance imaging (MRI)-defined prostate tumor volumes, in addition to standard treatment. METHODS AND MATERIALS: We enrolled 25 men with favorable to high-risk prostate cancer and 1 to 3 suspicious multiparametric MRI (mpMRI) gross tumor volumes (GTVs). The mpMRI-GTVs were treated on day 1 with 12 to 14 Gy via dose cylinders using a lattice extreme ablative dose technique. The entire prostate, along with the proximal seminal vesicles, was then treated to 76 Gy at 2 Gy/fraction. For some high-risk patients, the distal seminal vesicles and pelvic lymph nodes received 56 Gy at 1.47 Gy/fraction concurrently in 38 fractions. The total dose to the lattice extreme ablative dose cylinder volume(s) was 88 to 90 Gy (112-123 Gy in 2.0 Gy equivalents, assuming an α-to-ß ratio of 3). RESULTS: Dosimetric parameters were satisfactorily met. Median follow-up was 66 months. There were no grade 3 acute/subacute genitourinary or gastrointestinal adverse events. Maximum late genitourinary toxicity was grade 1 in 15 (60%), grade 2 in 4 (16%), and grade 4 in 1 (4%; sepsis after a posttreatment transurethral resection). Maximum late gastrointestinal toxicity was grade 1 in 11 (44%) and grade 2 in 4 (16%). Two patients experienced biochemical failure. CONCLUSIONS: External beam radiation therapy delivered with an upfront spatially fractionated, stereotactic high-dose mpMRI-GTV boost is feasible and was not associated with any unexpected events. The technique is now part of a follow-up phase II randomized trial.


Subject(s)
Ablation Techniques , Magnetic Resonance Imaging , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/radiotherapy , Radiotherapy, Image-Guided , Ablation Techniques/adverse effects , Adult , Aged , Aged, 80 and over , Feasibility Studies , Humans , Male , Middle Aged , Radiotherapy, Image-Guided/adverse effects , Safety , Seminal Vesicles/radiation effects , Tomography, X-Ray Computed
19.
J Med Phys ; 45(4): 221-225, 2020.
Article in English | MEDLINE | ID: mdl-33953497

ABSTRACT

BACKGROUND: Source modeling is an approach to reduce computational burden in Monte Carlo simulations but at the cost of reduced accuracy. Although this method can be effective, one component of the source model that is exceptionally difficult to model is the electron contamination, a significant contributor to the skin and shallow dose. AIMS AND OBJECTIVES: To improve the accuracy for the electron contamination component of the overall source model, we have generated a spatial mesh based surface source model. METHODS AND MATERIALS: The source model is located downstream from the flattening filter and mirror but upstream from the movable jaws. A typical phase space file uses around ten parameters per particle, but this method simplifies this number to five components. By using only the electron distance from the central axis, angles from the central axis and energy, the computational time and disk space required is greatly reduced. RESULTS AND CONCLUSION: Despite the simplification in the source model, the electron contamination is still accurate to within 1.5%.

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