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Alfishawy MM, Elshahat KM, Kany AI. Comparison between flattening filter and flattening filter-free photon beams in head and neck cancer patients using volumetric modulated arc therapy technique. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2025; 64:67-76. [PMID: 39812773 DOI: 10.1007/s00411-024-01104-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 12/30/2024] [Indexed: 01/16/2025]
Abstract
This study aimed to evaluate the dosimetric and clinical outcomes of flattening filter (FF) versus flattening filter-free (FFF) beams in head and neck cancer (HNC) patients treated with volumetric modulated arc therapy (VMAT). Twenty-four patients with 70/59.4/54 Gy dose prescribed in 33 fractions with simultaneous integrated boost treatment were retrospectively analyzed to compare treatment delivery efficiency, target coverage, sparing of organs at risk (OARs), and remaining volume at risk (RVR) in two HNC groups (nasopharyngeal and oropharyngeal). Study findings indicate that FFF beams significantly reduce conformity index (CI) and homogeneity index (HI) by p-values (0.008, < 0.001, 0.002, 0.015) for PTV70 CI, PTV70 HI, PTV60 HI, and PTV54 HI, respectively. Gradient dose was significantly improved in FFF mode, and monitor units (MU) were increased (p < 0.001). In terms of OARs, the study revealed superior performance of FFF in most of structures and RVR especially in the oropharyngeal group. OARs sparing is notably enhanced for structures distant from the target (eyes, lenses, and optic pathway). Additionally, brainstem sparing shows significant improvement in oropharyngeal cases when using FFF plans (p = 0.046); however, FF plans demonstrate superior results in nasopharyngeal cases (p = 0.026). It is concluded that both FF and FFF photon beams are effective for treating HNC patients. VMAT plans using FFF mode offer clinically acceptable outcomes, demonstrating a significant reduction in gradient and integral dose. However, FF plans exhibit superior target homogeneity and reduced MU requirements. Therefore, the choice between these techniques should be based on a comprehensive evaluation of all relevant parameters.
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Affiliation(s)
| | | | - Amr Ismail Kany
- Radiation Physics, Faculty of Science, Al -Azhar University, Cairo, Egypt
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Salari E, Wang J, Wynne JF, Chang C, Wu Y, Yang X. Artificial intelligence-based motion tracking in cancer radiotherapy: A review. J Appl Clin Med Phys 2024; 25:e14500. [PMID: 39194360 PMCID: PMC11540048 DOI: 10.1002/acm2.14500] [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: 09/15/2023] [Revised: 07/13/2024] [Accepted: 07/27/2024] [Indexed: 08/29/2024] Open
Abstract
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk (OARs). Increasingly complex treatment techniques such as volumetric modulated arc therapy (VMAT), stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), and proton therapy have been developed to deliver doses more precisely to the target. While such technologies have improved dose delivery, the implementation of intra-fraction motion management to verify tumor position at the time of treatment has become increasingly relevant. Artificial intelligence (AI) has recently demonstrated great potential for real-time tracking of tumors during treatment. However, AI-based motion management faces several challenges, including bias in training data, poor transparency, difficult data collection, complex workflows and quality assurance, and limited sample sizes. This review presents the AI algorithms used for chest, abdomen, and pelvic tumor motion management/tracking for radiotherapy and provides a literature summary on the topic. We will also discuss the limitations of these AI-based studies and propose potential improvements.
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Affiliation(s)
- Elahheh Salari
- Department of Radiation OncologyEmory UniversityAtlantaGeorgiaUSA
| | - Jing Wang
- Radiation OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | | | - Chih‐Wei Chang
- Department of Radiation OncologyEmory UniversityAtlantaGeorgiaUSA
| | - Yizhou Wu
- School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaGeorgiaUSA
| | - Xiaofeng Yang
- Department of Radiation OncologyEmory UniversityAtlantaGeorgiaUSA
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Li L, Lu Z, Jiang A, Sha G, Luo Z, Xie X, Ding X. Swin Transformer-based automatic delineation of the hippocampus by MRI in hippocampus-sparing whole-brain radiotherapy. Front Neurosci 2024; 18:1441791. [PMID: 39464425 PMCID: PMC11502472 DOI: 10.3389/fnins.2024.1441791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 09/26/2024] [Indexed: 10/29/2024] Open
Abstract
Objective This study aims to develop and validate SwinHS, a deep learning-based automatic segmentation model designed for precise hippocampus delineation in patients receiving hippocampus-protected whole-brain radiotherapy. By streamlining this process, we seek to significantly improve workflow efficiency for clinicians. Methods A total of 100 three-dimensional T1-weighted MR images were collected, with 70 patients allocated for training and 30 for testing. Manual delineation of the hippocampus was performed according to RTOG0933 guidelines. The SwinHS model, which incorporates a 3D ELSA Transformer module and an sSE CNN decoder, was trained and tested on these datasets. To prove the effectiveness of SwinHS, this study compared the segmentation performance of SwinHS with that of V-Net, U-Net, ResNet and VIT. Evaluation metrics included the Dice similarity coefficient (DSC), Jaccard similarity coefficient (JSC), and Hausdorff distance (HD). Dosimetric evaluation compared radiotherapy plans generated using automatic segmentation (plan AD) versus manual hippocampus segmentation (plan MD). Results SwinHS outperformed four advanced deep learning-based models, achieving an average DSC of 0.894, a JSC of 0.817, and an HD of 3.430 mm. Dosimetric evaluation revealed that both plan (AD) and plan (MD) met treatment plan constraints for the target volume (PTV). However, the hippocampal Dmax in plan (AD) was significantly greater than that in plan (MD), approaching the 17 Gy constraint limit. Nonetheless, there were no significant differences in D100% or maximum doses to other critical structures between the two plans. Conclusion Compared with manual delineation, SwinHS demonstrated superior segmentation performance and a significantly shorter delineation time. While plan (AD) met clinical requirements, caution should be exercised regarding hippocampal Dmax. SwinHS offers a promising tool to enhance workflow efficiency and facilitate hippocampal protection in radiotherapy planning for patients with brain metastases.
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Affiliation(s)
- Liang Li
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhennan Lu
- Department of Equipment, Affiliated Hospital of Nanjing University of Chinese Medicine (Jiangsu Province Hospital of Chinese Medicine), Nanjing, China
| | - Aijun Jiang
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Guanchen Sha
- Department of Radiation Oncology, Xuzhou Central Hospital, Xuzhou, China
| | - Zhaoyang Luo
- HaiChuang Future Medical Technology Co., Ltd., Zhejiang, China
| | - Xin Xie
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xin Ding
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Mukwada G, Chamunyonga C, Rowshanfarzad P, Gill S, Ebert MA. Insights into the dosimetric and geometric characteristics of stereotactic radiosurgery for multiple brain metastases: A systematic review. PLoS One 2024; 19:e0307088. [PMID: 39121064 PMCID: PMC11315342 DOI: 10.1371/journal.pone.0307088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 06/30/2024] [Indexed: 08/11/2024] Open
Abstract
BACKGROUND GammaKnife (GK) and CyberKnife (CK) have been the mainstay stereotactic radiosurgery (SRS) solution for multiple brain metastases (MBM) for several years. Recent technological advancement has seen an increase in single-isocentre C-arm linac-based SRS. This systematic review focuses on dosimetric and geometric insights into contemporary MBM SRS and thereby establish if linac-based SRS has matured to match the mainstay SRS delivery systems. METHODS The PubMed, Web of Science and Scopus databases were interrogated which yielded 891 relevant articles that narrowed to 20 articles after removing duplicates and applying the inclusion and exclusion criteria. Primary studies which reported the use of SRS for treatment of MBM SRS and reported the technical aspects including dosimetry were included. The review was limited to English language publications from January 2015 to August 2023. Only full-length papers were included in the final analysis. Opinion papers, commentary pieces, letters to the editor, abstracts, conference proceedings and editorials were excluded. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. The reporting of conformity indices (CI) and gradient indices, V12Gy, monitor units and the impact of translational and rotational shifts were extracted and analysed. RESULTS The single-isocentre technique for MBM dominated recent SRS studies and the most studied delivery platforms were Varian. The C-arm linac-based SRS plan quality and normal brain tissue sparing was comparable to GK and CK and in some cases better. The most used nominal beam energy was 6FFF, and optimised couch and collimator angles could reduce mean normal brain dose by 11.3%. Reduction in volume of the healthy brain receiving a certain dose was dependent on the number and size of the metastases and the relative geometric location. GK and CK required 4.5-8.4 times treatment time compared with linac-based SRS. Rotational shifts caused larger changes in CI in C-arm linac-based single-isocentre SRS. CONCLUSION C-arm linac-based SRS produced comparable MBM plan quality and the delivery is notably shorter compared to GK and CK SRS.
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Affiliation(s)
- Godfrey Mukwada
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, Western Australia, Australia
- School of Physics, Mathematics and Computing, University of Western Australia, Crawley, Western Australia, Australia
| | - Crispen Chamunyonga
- School of Clinical Sciences, Discipline of Radiation Therapy, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, University of Western Australia, Crawley, Western Australia, Australia
- Centre for Advanced Technologies in Cancer Research (CATCR), Perth, Western Australia, Australia
| | - Suki Gill
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, Western Australia, Australia
- School of Physics, Mathematics and Computing, University of Western Australia, Crawley, Western Australia, Australia
| | - Martin A. Ebert
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, Western Australia, Australia
- School of Physics, Mathematics and Computing, University of Western Australia, Crawley, Western Australia, Australia
- Centre for Advanced Technologies in Cancer Research (CATCR), Perth, Western Australia, Australia
- School of Medicine and Population Health, University of Wisconsin, Madison, Wisconsin, United States of America
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Gill A, Hirst AL, Rowshanfarzad P, Gill S, Bucknell N, Dass J, Sabet M. Stereotactic body radiotherapy for early-stage lung cancer: a systematic review on the choice of photon energy and linac flattened/unflattened beams. Radiat Oncol 2024; 19:1. [PMID: 38167095 PMCID: PMC10762943 DOI: 10.1186/s13014-023-02392-4] [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: 07/05/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
SBRT is an effective local treatment for patients with early-stage non-small cell lung cancer (NSCLC). This treatment is currently used in patients who have poor lung function or who decline surgery. As SBRT usually has small PTV margins, reducing the beam-on-time (BOT) is beneficial for accurate dose delivery by minimising intrafraction motion as well as improved patient comfort. Removal of the linear accelerator flattening filter can provide a higher dose rate which results in a faster treatment. In addition, the choice of photon energy can also affect the dose distribution to the target and the organs-at-risk (OAR). In this systematic review, studies analysing the choice of various photon beam energies, with a flattening filter or flattening filter free (FFF), were compared for their overall dosimetric benefit in the SBRT treatment for early-stage NSCLC. It was found that FFF treatment delivers a comparatively more conformal dose distribution, as well as a better homogeneity index and conformity index, and typically reduces BOT by between 30 and 50%. The trade-off may be a minor increase in monitor units for FFF treatment found in some studies but not others. Target conformity and OAR sparing, particularly lung doses appear better with 6MV FFF, but 10MV FFF was marginally more advantageous for skin sparing and BOT reduction. The favourable beam modality for clinical use would depend on the individual case, for which tumour size and depth, radiotherapy technique, as well as fractionation scheme need to be taken into account.
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Affiliation(s)
- Ashlesha Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia.
| | - Andrew L Hirst
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Suki Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Nicholas Bucknell
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Joshua Dass
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Mahsheed Sabet
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
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Ghemiș DM, Marcu LG, Virag V, Virag A. Dosimetric characteristics of 6MV flattening filter free and flattened beams among beam-matched linacs: a three-institutional study. Radiat Oncol 2023; 18:126. [PMID: 37507741 PMCID: PMC10375603 DOI: 10.1186/s13014-023-02313-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Beam matching is a concept in radiotherapy applied to clinics where more than one linac is employed to harmonise beam characteristics across linacs for allowing patients interchange without replanning. In view of this, the current study analyzes and compares dosimetric characteristics of 6MV flattening filter free and flattened beams of three beam-matched linear accelerators (linacs) from three different clinics with the aim to evaluate the matching under tight criteria for gamma analysis. METHODS Three Elekta linacs from three different clinics were included. The linacs have the same collimator assembly, Elekta Agility. Beam data were collected during commissioning process using PTW dosimetry systems. Dose profiles and percentage depth doses (PDD) were analyzed using 1D gamma analysis (1 mm/1%) as well as the following parameters: depth of maximum dose, PDD10, flatness, unflattnes, symmetry, penumbra, output factors. Additionally, five stereotactic treatment plans were optimized in one clinic and calculated by all three planning systems (Monaco) for a dosimetric comparison. RESULTS Gamma analysis of dose profiles and PDDs showed clinically acceptable results of 96.3% passing rate for profiles and 100% passing rate for PDDs. All dosimetric parameters were in good agreement with the reference data. Furthermore, dosimetric comparisons between stereotactic treatment plans showed a maximum standard deviation of 0.48 Gy for the maximum dose to PTV, and a maximum standard deviation of 0.1 Gy for the dose to the organs at risk. CONCLUSIONS All three linacs showed a strong agreement between parameters and passed the gamma analysis using 1% DD/1mm DTA criteria. This study confirmed the matching between linacs, offering the possibility to interchange patients with no replanning.
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Affiliation(s)
- Diana M Ghemiș
- Faculty of Physics, West University of Timisoara, Timisoara, Romania.
- MedEuropa, Oradea, 410191, Romania.
| | - Loredana G Marcu
- Faculty of Physics, West University of Timisoara, Timisoara, Romania
- Faculty of Informatics & Science, University of Oradea, Oradea, 410087, Romania
- UniSA Allied Health & Human Performance, University of South Australia, Adelaide, SA, 5001, Australia
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Dosimetric Parameters in Hypofractionated Stereotactic Radiotherapy for Brain Metastases: Do Flattening Filter-Free Beams Bring Benefits? A Preliminary Study. Cancers (Basel) 2023; 15:cancers15030678. [PMID: 36765636 PMCID: PMC9913515 DOI: 10.3390/cancers15030678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/14/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
PURPOSE This study aimed to compare the dosimetric results of flattening filter-free (FFF) vs. flattened (FF) treatment plans for fractionated stereotactic radiotherapy (fSRT), with the goal to highlight potential advantages of FFF beams. METHODS A group of 18 patients with brain metastases treated with fSRT (30 Gy delivered in 5 fractions) were included. The dosimetric parameters evaluated were: (1) physical dosimetric parameters (number of monitor units (MUs), conformity index (CI), dose gradient index (DGI), beam on time (BOT)); (2) clinical dosimetric parameters pertaining to target volume (PTV) and organs at risk (OARs). Two treatment plans were performed for all patients: one used 6 MV FFF beams and the other used 6 MV flattened beams. RESULTS A slight increase in MUs was observed for the FFF mode (+23.3 MUs). The CI showed a difference of -2.7% for the FF plans (p = 0.28), correlated with a poorer coverage of the PTV. DGI values reported in terms of PTV are in line with international recommendations and showed a +1.9% difference for FFF plans. An average BOT of 90.3 s was reported for FFF plans, which was 2.3 times shorter than that required for FF plans delivery (p ≤ 0.001). A slight decrease of PTV coverage (-1.26%, p = 0.036) for FF plans can be considered relevant, but no other significant differences were observed between the two optimizations. No statistically significant benefit of using FFF beams to reduce V20 for normal brain could be demonstrated. CONCLUSION These dosimetric results encourage the implementation of fSRT with standard flattened beams in centers where FFF linacs are not available.
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Saglam Y, Bolukbasi Y, Atasoy AI, Karakose F, Budak M, Alpan V, Topkan E, Selek U. Novel Clinically Weight-Optimized Dynamic Conformal Arcs (WO-DCA) for Liver SBRT: A Comparison with Volumetric Modulated Arc Therapy (VMAT). Ther Clin Risk Manag 2021; 17:1053-1064. [PMID: 34611405 PMCID: PMC8487279 DOI: 10.2147/tcrm.s328375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 09/11/2021] [Indexed: 12/28/2022] Open
Abstract
PURPOSE To evaluate the feasibility of shortening the duration of liver stereotactic radiotherapy (SBRT) without jeopardizing dosimetry or conformity by utilizing weight-optimized dynamic conformal arcs (WO-DCA) as opposed to volumetric modulated arc therapy (VMAT) for tumors away from critical structures. METHODS Nineteen patients with liver metastasis were included, previously treated with 50 Gy in 4 fractions with VMAT technique using two partial coplanar arcs of 6 MV beams delivered in high-definition multi-leaf collimator (HD-MLC). Two coplanar partial WO-DCA were generated on Pinnacle treatment planning system (TPS) for each patient; and MLC aperture around the planning target volume (PTV) was automatically generated at different margins for both arcs and maintained dynamically around the target during arc rotation. Weight of the two arcs using optimization method was adjusted between the arcs to maximize tumor coverage and protect organs at risk (OAR) based on the RTOG-0438 protocol. RESULTS The WO-DCA plans successfully "agreed" with the standard VMAT for OAR (liver, spinal cord, stomach, duodenum, small bowel, and heart) and PTV (Dmean, D98%, D2%, CI, and GI), with superior mean quality assurance (QA) pass rate (97.06 vs 93.00 for VMAT; P < 0.001 and t = 8.87). Similarly, the WO-DCA technique additionally reduced the beam-on time (3.26 vs 4.43; P < 0.001) and monitor unit (1860 vs 2705 for VMAT; P < 0.001) values significantly. CONCLUSION The WO-DCA plans might minimize small-field dosimetry errors and defeat patient-specific VMAT QA requirements due to the omission of MLC beam modulation through the target volume. The WO-DCA plans may additionally enable faster treatment delivery times and lower OAR without sacrificing target doses in SBRT of liver tumors away from critical structures.
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Affiliation(s)
- Yucel Saglam
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
- UT MD Anderson Radiation Oncology Outreach Center at American Hospital, Istanbul, Turkey
| | - Yasemin Bolukbasi
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
- UT MD Anderson Radiation Oncology Outreach Center at American Hospital, Istanbul, Turkey
- University of Texas, MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA
| | - Ali Ihsan Atasoy
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
| | - Fatih Karakose
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
| | - Mustafa Budak
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
| | - Vildan Alpan
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
- UT MD Anderson Radiation Oncology Outreach Center at American Hospital, Istanbul, Turkey
| | - Erkan Topkan
- Baskent University Medical Faculty, Department of Radiation Oncology, Adana, Turkey
| | - Ugur Selek
- Koc University, School of Medicine, Department of Radiation Oncology, Istanbul, Turkey
- UT MD Anderson Radiation Oncology Outreach Center at American Hospital, Istanbul, Turkey
- University of Texas, MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA
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