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Optimizing the IPSA Conditions to Improve the Treatment Plan Quality in Brachytherapy for Cervical Cancer. JOURNAL OF ONCOLOGY 2022; 2022:6499744. [PMID: 35313562 PMCID: PMC8934224 DOI: 10.1155/2022/6499744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022]
Abstract
Recent prevalent use of three-dimensional image-guided brachytherapy (3D brachytherapy) has dramatically improved the treatment outcomes of cervical cancer. Inverse planning simulated annealing (IPSA) is one of the commonly used algorithms in 3D brachytherapy, but different conditions may affect the treatment plan quality. In this study, we compared HRCTV (high-risk clinical target volume) D90 (dose prescription) and HRCTV D95 D2cc (dose received by 2.0cc) of the rectum, bladder, and sigmoid in 30 patients with cervical cancer under four IPSA conditions. The HRCTV D90 (mean ± SD cGy) was 607.32 ± 37.86, 599.01 ± 23.62, 598.67 ± 13.07, and 596.45 ± 10.94 in four groups, respectively. The HRCTV D95 was 558.19 ± 38.51, 558.17 ± 25.72, 557.03 ± 16.12, and 555.26 ± 12.78, respectively. The sigmoid D2cc was 282.96 ± 44.84, 273.14 ± 60.69, 268.94 ± 62.32, and 292.69 ± 52.44. HRCTV D90, HRCTV D95, and sigmoid D2cc were not statistically different among the four groups (p > 0.05). However, the target fitness in group one, especially at the cervix, was poor. The rectum D2cc was 351.49 ± 32.90, 361.49 ± 28.09, 370.82 ± 24.44, and 375.33 ± 30.90. The rectum D2cc in group one was the lower than that in group three and group four (
). The bladder D2cc was 423.59 ± 31.39, 380.75 ± 37.25, 383.27 ± 32.55, and 385.22 ± 25.79. The bladder D2cc in group one was higher than the other groups (
). The maximum rectum limit dose (400cGy) is lower than the bladder (500cGy), and HRCTV is a whole in the IPSA algorithm; these result in the insufficiency or even absence of cervix dose that first need to meet in clinics. In conclusion, IPSA condition optimization can improve the quality of treatment plan in 3D brachytherapy and make it closer to clinical practice.
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Yan G, Kang S, Tang B, Li J, Wang P, Wang X, Lang J. Effect of the dwell time deviation constraint on brachytherapy treatment planning for cervical cancer. J Int Med Res 2021; 49:3000605211037477. [PMID: 34423665 PMCID: PMC8385595 DOI: 10.1177/03000605211037477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective This study aimed to quantify the effect of the dwell time deviation constraint (DTDC) on brachytherapy treatment for cervical cancer. Methods A retrospective study was carried out on 20 patients with radical cervical cancer. The DTDC values changed from 0.0 to 1.0 by a step size of 0.2. We adjusted the optimization objectives to ensure that all plans were optimized to a high-risk clinical target volume (HRCTV) D90 (the dose to 90% of the HRCTV) = 6 Gy, while keeping the dose to the organs at risk as low as possible. The dose–volume histogram parameters and the dwell time data were compared between plans with different DTDC values. Results The HRCTV volume covered by 150% of the prescription dose gradually increased with increasing DTDC values. As the DTDC value increased from 0.0 to 1.0, the effective dwell point proportion increased from 61.78% to 90.30%. The mean dwell time initially decreased with an increase in the DTDC value, reached the minimum value at DTDC = 0.8, then slightly increased at DTDC = 1.0. Conclusions When using inverse planning simulated annealing optimization for radical cervical cancer cases, the recommended DTDC value is approximately 0.6 if the organ dose needs to be limited.
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Affiliation(s)
- Gaoshu Yan
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Shengwei Kang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Bin Tang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Jie Li
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Pei Wang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Xianliang Wang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - Jinyi Lang
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
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Kirisits C, Mahantshetty U, Tanderup K. Dosimetric Studies in Image-Guided Adaptive Brachytherapy in Gynecological Cancers: A Journey to Successful Implementation. J Med Phys 2018. [PMCID: PMC5879828 DOI: 10.4103/jmp.jmp_146_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Christian Kirisits
- Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria,Address for correspondence: Dr. Christian Kirisits, Comprehensive Cancer Center, Department of Radiotherapy, Medical University of Vienna, Vienna, Austria. E-mail:
| | - Umesh Mahantshetty
- Department of Radiation Oncology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Kari Tanderup
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
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Liu Z, Liang H, Wang X, Yang H, Deng Y, Luo T, Yang C, Lu M, Fu Q, Zhu X. Comparison of graphical optimization or IPSA for improving brachytheraphy plans associated with inadequate target coverage for cervical cancer. Sci Rep 2017; 7:16423. [PMID: 29180703 PMCID: PMC5704013 DOI: 10.1038/s41598-017-16756-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 11/16/2017] [Indexed: 11/09/2022] Open
Abstract
Many studies have reported that inverse planning by simulated annealing (IPSA) can improve the quality of brachytherapy plans, and we wanted to examine whether IPSA could improve cervical cancer brachytherapy plans giving D90 < 6 Gy (with 7 Gy per fraction) at our institution. Various IPSA plans involving the tandem and ovoid applicators were developed for 30 consecutive cervical cancer patients on the basis of computed tomography: IPSA1, with a constraint on the maximum dose in the target volume; IPSA1-0, identical to IPSA1 but without a dwell-time deviation constraint; IPSA2, without a constraint on the maximum dose; and IPSA2-0, identical to IPSA2 but without a dwell-time deviation constraint. IPSA2 achieved similar results as graphical optimization, and none of the other IPSA plans was significantly better than graphical optimization. Therefore, other approaches, such as combining interstitial and intracavitary brachytherapy, may be more appropriate for improving the quality of brachytherapy plans associated with inadequate target coverage.
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Affiliation(s)
- ZhiJie Liu
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - HuanQing Liang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, PR China
| | - Xiao Wang
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08903, USA
| | - HaiMing Yang
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - Ye Deng
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - TingJun Luo
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - ChaoFeng Yang
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - Min Lu
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China
| | - QingGuo Fu
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China.
| | - XiaoDong Zhu
- Department of Radiation Oncology, Cancer Institute of Guangxi Zhuang Autonomous Region, The Affiliated Cancer Hospital of Guangxi Medical University, Nanning, 530021, PR China.
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