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Fredman E, Icht O, Moore A, Bragilovski D, Kindler J, Golan S, Limon D. SABR-Dual: a phase II/III trial of two-fraction versus five-fraction stereotactic radiotherapy for localized low- and favorable intermediate-risk prostate cancer. BMC Cancer 2024; 24:431. [PMID: 38589860 PMCID: PMC11000374 DOI: 10.1186/s12885-024-12165-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 03/21/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Dose-escalated radiotherapy is known to improve progression free survival in patients with localized prostate cancer, and recent advances have led to the standardization of ultrahypofractionated stereotactic ablative radiotherapy (SABR) delivered in just 5-fractions. Based on the known effectiveness of the accepted though invasive 2-fraction treatment method of high-dose-rate brachytherapy and given the ubiquity of prostate cancer, a further reduction in the number of treatments of external-beam SABR is possible. This study aims to evaluate the safety, efficacy, and non-inferiority of generalizable 2-fraction SABR compared to the current 5-fraction regimen. METHODS 502 patients will be enrolled on this phase II/III randomized control trial. Eligible patients will have previously untreated low- or favorable intermediate-risk adenocarcinoma of the prostate. Patients will be randomized between standard SABR of 40 Gy in 5 fractions given every-other-day and 27 Gy in 2 fractions at least two days apart but completing within seven days. MRI-based planning, radiopaque hydrogel spacer insertion, and fiducial marker placement are required, and SABR will be delivered on either a standard CT-guided linear accelerator or MR-LINAC. The primary endpoint will be freedom from disease progression, with additional secondary clinical, toxicity, and quality of life endpoints. DISCUSSION This study will be the largest prospective randomized trial, adequately powered to demonstrate non-inferiority, comparing 2-fraction SABR to standard 5-fraction SABR for localized prostate cancer. As the protocol does not obligate use of an MRI-LINAC or other adaptive technologies, results will be broadly generalizable to the wider community. TRIAL REGISTRATION This trial is registered on Clinicaltrials.gov: ClinicalTrials.gov Identifier: NCT06027892.
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Affiliation(s)
- Elisha Fredman
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel.
| | - Oded Icht
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
| | - Assaf Moore
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
| | - Dimitri Bragilovski
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
| | - Jonathan Kindler
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
| | - Shay Golan
- Department of Urology, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
| | - Dror Limon
- Department of Radiation Oncology, Davidoff Cancer Center, Rabin Medical Center, 39 Ze'ev Jabotinsky St, Petah Tikvah, Israel
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Polizzi M, Weiss E, Jan N, Ricco A, Kim S, Urdaneta A, Rosu‐Bubulac M. Rectal deformation management with IGRT in prostate radiotherapy: Can it be managed with rigid alignment alone? J Appl Clin Med Phys 2024; 25:e14241. [PMID: 38193605 PMCID: PMC11005986 DOI: 10.1002/acm2.14241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 10/15/2023] [Accepted: 10/25/2023] [Indexed: 01/10/2024] Open
Abstract
PURPOSE It is challenging to achieve appropriate target coverage of the prostate with Image Guided Radiation Therapy (IGRT) while simultaneously constraining rectal doses within planned values when there is significant variability in rectal filling and shape. We investigated if rectum planning goals can be fulfilled using rigid CBCT-based on-board alignment to account for interfraction rectal deformations. METHODS Delivered rectal doses corresponding to prostate alignment ("PR") and anterior rectum alignment ("AR") for 239 daily treatments from 13 patients are reported. Rectal doses were estimated by rigidly mapping the planned dose on the daily CT derived from the daily CBCT according to respective alignment shifts. Rectum V95% (rV95%) was used for analyses. RESULTS Compared to "PR", "AR" alignment increased rV95% for an average of 34.4% across all patients. rV95% (cc) averaged over all fractions was significant from planning values for 10/13 patients for "PR" and for 9/13 for "AR". 3/13 patients had reproducible anatomy. Of patients with non-reproducible anatomy, three had dosimetrically more favorable, while seven had less favorable anatomies. Most shift differences (82.3%) between the "PR" and "AR" alignments larger than 2 mm resulted in rV95% changes larger than 2 cc. Most shift differences (82.2%) of 2 mm or less between the "PR" and "AR" alignments resulted in rV95% changes less than 2 cc. The average percentage of fractions among patients in which anterior or posterior shifts for "AR" and "PR" alignment was larger than the PTV margins was 9.1% (0.0%-37.5%) and 1.3% (0%-10%). CONCLUSION Rectal deformation and subsequent inconsistent interfraction separation between prostate and rectal wall translate into anatomical changes that cannot always be mitigated with rigid alignment. If systematic differences exist due to a non-reproducible planning anatomy, attempts to restore the planned rectal doses through anterior rectum alignment produce rather small improvements and may result in unacceptable target underdosage.
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Affiliation(s)
- Mitchell Polizzi
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Elisabeth Weiss
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Nuzhat Jan
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Anthony Ricco
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Siyong Kim
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Alfredo Urdaneta
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Mihaela Rosu‐Bubulac
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
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Shortall J, Vasquez Osorio E, Green A, McWilliam A, Elumalai T, Reeves K, Johnson-Hart C, Beasley W, Hoskin P, Choudhury A, van Herk M. Dose outside of the prostate is associated with improved outcomes for high-risk prostate cancer patients treated with brachytherapy boost. Front Oncol 2023; 13:1200676. [PMID: 37397380 PMCID: PMC10311256 DOI: 10.3389/fonc.2023.1200676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/31/2023] [Indexed: 07/04/2023] Open
Abstract
Background One in three high-risk prostate cancer patients treated with radiotherapy recur. Detection of lymph node metastasis and microscopic disease spread using conventional imaging is poor, and many patients are under-treated due to suboptimal seminal vesicle or lymph node irradiation. We use Image Based Data Mining (IBDM) to investigate association between dose distributions, and prognostic variables and biochemical recurrence (BCR) in prostate cancer patients treated with radiotherapy. We further test whether including dose information in risk-stratification models improves performance. Method Planning CTs, dose distributions and clinical information were collected for 612 high-risk prostate cancer patients treated with conformal hypo-fractionated radiotherapy, intensity modulated radiotherapy (IMRT), or IMRT plus a single fraction high dose rate (HDR) brachytherapy boost. Dose distributions (including HDR boost) of all studied patients were mapped to a reference anatomy using the prostate delineations. Regions where dose distributions significantly differed between patients that did and did-not experience BCR were assessed voxel-wise using 1) a binary endpoint of BCR at four-years (dose only) and 2) Cox-IBDM (dose and prognostic variables). Regions where dose was associated with outcome were identified. Cox proportional-hazard models with and without region dose information were produced and the Akaike Information Criterion (AIC) was used to assess model performance. Results No significant regions were observed for patients treated with hypo-fractionated radiotherapy or IMRT. Regions outside the target where higher dose was associated with lower BCR were observed for patients treated with brachytherapy boost. Cox-IBDM revealed that dose response was influenced by age and T-stage. A region at the seminal vesicle tips was identified in binary- and Cox-IBDM. Including the mean dose in this region in a risk-stratification model (hazard ratio=0.84, p=0.005) significantly reduced AIC values (p=0.019), indicating superior performance, compared with prognostic variables only. The region dose was lower in the brachytherapy boost patients compared with the external beam cohorts supporting the occurrence of marginal misses. Conclusion Association was identified between BCR and dose outside of the target region in high-risk prostate cancer patients treated with IMRT plus brachytherapy boost. We show, for the first-time, that the importance of irradiating this region is linked to prognostic variables.
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Affiliation(s)
- Jane Shortall
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Eliana Vasquez Osorio
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Andrew Green
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Alan McWilliam
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Thriaviyam Elumalai
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Kimberley Reeves
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Corinne Johnson-Hart
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - William Beasley
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Peter Hoskin
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Ananya Choudhury
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Marcel van Herk
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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Shortall J, Palma G, Mistry H, Osorio EV, McWilliam A, Choudhury A, Aznar M, van Herk M, Green A. In Reply to Ebert et al. Int J Radiat Oncol Biol Phys 2022; 112:833-834. [DOI: 10.1016/j.ijrobp.2021.10.154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 11/29/2022]
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Ebert MA, Marcello M, Kennedy A, Haworth A, Holloway LC, Greer P, Dowling JA, Jameson MG, Roach D, Joseph DJ, Gulliford SL, Sydes MR, Hall E, Dearnaley DP. In Regard to Shortall et al. Int J Radiat Oncol Biol Phys 2022; 112:831-833. [PMID: 35101196 DOI: 10.1016/j.ijrobp.2021.10.140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/15/2021] [Indexed: 12/13/2022]
Affiliation(s)
- Martin A Ebert
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia; Department of Physics, University of Western Australia, Crawley, Australia; 5D Clinics, Claremont, Australia
| | - Marco Marcello
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Angel Kennedy
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Australia
| | - Annette Haworth
- School of Physics, University of Sydney, Camperdown, Australia
| | - Lois C Holloway
- School of Physics, University of Sydney, Camperdown, Australia; Department of Medical Physics, Liverpool Cancer Centre, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia; Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia
| | - Peter Greer
- School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, Australia; Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Australia
| | - Jason A Dowling
- School of Physics, University of Sydney, Camperdown, Australia; South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia; Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia; School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, Australia; CSIRO, Herston, Australia
| | - Michael G Jameson
- GenesisCare, Alexandria, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, Australia
| | - Dale Roach
- South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia
| | - David J Joseph
- 5D Clinics, Claremont, Australia; GenesisCare WA, Wembley, Australia; School of Surgery, University of Western Australia, Crawley, Australia
| | - Sarah L Gulliford
- Radiotherapy Department, University College London Hospitals NHS Foundation Trust, London, United Kingdom; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Matthew R Sydes
- MRC Clinical Trials Unit, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, Sutton, United Kingdom
| | - David P Dearnaley
- Academic UroOncology Unit, The Institute of Cancer Research and the Royal Marsden NHS Trust, London, United Kingdom
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Dose-based radiomic analysis (dosiomics) for intensity-modulated radiotherapy in patients with prostate cancer: Correlation between planned dose distribution and biochemical failure. Int J Radiat Oncol Biol Phys 2021; 112:247-259. [PMID: 34706278 DOI: 10.1016/j.ijrobp.2021.07.1714] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 06/18/2021] [Accepted: 07/27/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE Although radiotherapy is one of the most significant modalities for localized prostate cancer, the prognostic factors for biochemical recurrence (BCR) regarding the treatment plan are unclear. We aimed to develop a novel dosiomics-based prediction model for BCR in patients with prostate cancer and clarify the correlations between the dosimetric factors and BCR. METHODS AND MATERIALS This study included 489 patients with localized prostate cancer (BCR: 96, No-BCR: 393) who received intensity-modulated radiation therapy. A total of 2,475 dosiomic features were extracted from the dose distributions on the prostate, clinical target volume (CTV), and planning target volume. A prediction model for BCR was trained on a training cohort of 342 patients. The performance of this model was validated using the concordance index (C-index) in a validation cohort of 147 patients. Another model was constructed using clinical variables, dosimetric parameters, and radiomic features for comparisons. Kaplan-Meier curves with log-rank analysis were used to assess the univariate discrimination based on the predictive dosiomic features. RESULTS The dosiomic feature derived from the CTV was significantly associated with BCR (hazard ratio: 0.73; 95% confidence interval [CI]: 0.57-0.93; P = .01). Although the dosiomics model outperformed the dosimetric and radiomics models, it did not outperform the clinical model. The performance significantly improved by combining the clinical variables and dosiomic features (C-index: 0.67; 95% CI: 0.65-0.68; P < .0001). The predictive dosiomic features were used to distinguish high-risk and low-risk patients (P < .05). CONCLUSIONS The dosiomic feature extracted from the CTV was significantly correlated with BCR in patients with prostate cancer, and the dosiomics model outperformed the model with conventional dose indices. Hence, new metrics for evaluating the quality of a treatment plan are warranted. Moreover, further research should be conducted to determine whether dosiomics can be incorporated in a clinical workflow or clinical trial.
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Veiga C, Lim P, Anaya VM, Chandy E, Ahmad R, D'Souza D, Gaze M, Moinuddin S, Gains J. Atlas construction and spatial normalisation to facilitate radiation-induced late effects research in childhood cancer. Phys Med Biol 2021; 66. [PMID: 33735848 PMCID: PMC8112163 DOI: 10.1088/1361-6560/abf010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/18/2021] [Indexed: 11/12/2022]
Abstract
Reducing radiation-induced side effects is one of the most important challenges in paediatric cancer treatment. Recently, there has been growing interest in using spatial normalisation to enable voxel-based analysis of radiation-induced toxicities in a variety of patient groups. The need to consider three-dimensional distribution of doses, rather than dose-volume histograms, is desirable but not yet explored in paediatric populations. In this paper, we investigate the feasibility of atlas construction and spatial normalisation in paediatric radiotherapy. We used planning computed tomography (CT) scans from twenty paediatric patients historically treated with craniospinal irradiation to generate a template CT that is suitable for spatial normalisation. This childhood cancer population representative template was constructed using groupwise image registration. An independent set of 53 subjects from a variety of childhood malignancies was then used to assess the quality of the propagation of new subjects to this common reference space using deformable image registration (i.e. spatial normalisation). The method was evaluated in terms of overall image similarity metrics, contour similarity and preservation of dose-volume properties. After spatial normalisation, we report a dice similarity coefficient of 0.95 ± 0.05, 0.85 ± 0.04, 0.96 ± 0.01, 0.91 ± 0.03, 0.83 ± 0.06 and 0.65 ± 0.16 for brain and spinal canal, ocular globes, lungs, liver, kidneys and bladder. We then demonstrated the potential advantages of an atlas-based approach to study the risk of second malignant neoplasms after radiotherapy. Our findings indicate satisfactory mapping between a heterogeneous group of patients and the template CT. The poorest performance was for organs in the abdominal and pelvic region, likely due to respiratory and physiological motion and to the highly deformable nature of abdominal organs. More specialised algorithms should be explored in the future to improve mapping in these regions. This study is the first step toward voxel-based analysis in radiation-induced toxicities following paediatric radiotherapy.
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Affiliation(s)
- Catarina Veiga
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Pei Lim
- Department of Oncology, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Virginia Marin Anaya
- Radiotherapy Physics Services, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Edward Chandy
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.,UCL Cancer Institute, University College London, London, United Kingdom
| | - Reem Ahmad
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Derek D'Souza
- Radiotherapy Physics Services, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Mark Gaze
- Department of Oncology, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Syed Moinuddin
- Radiotherapy, University College London Hospital NHS Foundation Trust, London, United Kingdom
| | - Jennifer Gains
- Department of Oncology, University College London Hospital NHS Foundation Trust, London, United Kingdom
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Shortall J, Palma G, Mistry H, Vasquez Osorio E, McWilliam A, Choudhury A, Aznar M, van Herk M, Green A. Flogging a Dead Salmon? Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials. Int J Radiat Oncol Biol Phys 2021; 110:696-699. [PMID: 34089676 DOI: 10.1016/j.ijrobp.2021.01.017] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/07/2021] [Accepted: 01/10/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Jane Shortall
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom
| | - Giuseppe Palma
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - Hitesh Mistry
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom
| | | | - Alan McWilliam
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom; Christie Medical Physics & Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Ananya Choudhury
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom; Christie Medical Physics & Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Marianne Aznar
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom
| | - Marcel van Herk
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom
| | - Andrew Green
- Division of Cancer Science, University of Manchester, Manchester, United Kingdom.
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Yamazaki H, Suzuki G, Aibe N, Yoshida K, Nakamura S. Posterior Margins in Prostate Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2021; 109:1657-1658. [PMID: 33714529 DOI: 10.1016/j.ijrobp.2020.11.050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Hideya Yamazaki
- Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Gen Suzuki
- Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Norihiro Aibe
- Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ken Yoshida
- Department of Radiology, Kansai Medical University, Hirakata, Japan
| | - Satoaki Nakamura
- Department of Radiology, Kansai Medical University, Hirakata, Japan
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