Development and validation of an automated Tomotherapy planning method for cervical cancer.

IF 3.3 2区 医学 Q2 ONCOLOGY
Feiru Han, Yi Xue, Sheng Huang, Tong Lu, Yining Yang, Yuanjie Cao, Jie Chen, Hailing Hou, Yao Sun, Wei Wang, Zhiyong Yuan, Zhen Tao, Shengpeng Jiang
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Abstract

Purpose: This study aimed to develop an automated Tomotherapy (TOMO) planning method for cervical cancer treatment, and to validate its feasibility and effectiveness.

Materials and methods: The study enrolled 30 cervical cancer patients treated with TOMO at our center. Utilizing scripting and Python environment within the RayStation (RaySearch Labs, Sweden) treatment planning system (TPS), we developed automated planning methods for TOMO and volumetric modulated arc therapy (VMAT) techniques. The clinical manual TOMO (M-TOMO) plans for the 30 patients were re-optimized using automated planning scripts for both TOMO and VMAT, creating automated TOMO (A-TOMO) and automated VMAT (A-VMAT) plans. We compared A-TOMO with M-TOMO and A-VMAT plans. The primary evaluated relevant dosimetric parameters and treatment plan efficiency were assessed using the two-sided Wilcoxon signed-rank test for statistical analysis, with a P-value < 0.05 indicating statistical significance.

Results: A-TOMO plans maintained similar target dose uniformity compared to M-TOMO plans, with improvements in target conformity and faster dose drop-off outside the target, and demonstrated significant statistical differences (P+ < 0.01). A-TOMO plans also significantly outperformed M-TOMO plans in reducing V50Gy, V40Gy and Dmean for the bladder and rectum, as well as Dmean for the bowel bag, femoral heads, and kidneys (all P+ < 0.05). Additionally, A-TOMO plans demonstrated better consistency in plan quality. Furthermore, the quality of A-TOMO plans was comparable to or superior than A-VMAT plans. In terms of efficiency, A-TOMO significantly reduced the time required for treatment planning to approximately 20 min.

Conclusion: We have successfully developed an A-TOMO planning method for cervical cancer. Compared to M-TOMO plans, A-TOMO plans improved target conformity and reduced radiation dose to OARs. Additionally, the quality of A-TOMO plans was on par with or surpasses that of A-VMAT plans. The A-TOMO planning method significantly improved the efficiency of treatment planning.

开发并验证宫颈癌自动断层治疗计划方法。
目的:本研究旨在开发一种用于宫颈癌治疗的自动化断层扫描(TOMO)计划方法,并验证其可行性和有效性:本研究在本中心招募了 30 名接受 TOMO 治疗的宫颈癌患者。利用 RayStation(瑞典 RaySearch 实验室)治疗计划系统(TPS)中的脚本和 Python 环境,我们开发了 TOMO 和体积调制弧治疗(VMAT)技术的自动计划方法。我们使用 TOMO 和 VMAT 的自动规划脚本重新优化了 30 名患者的临床手动 TOMO(M-TOMO)计划,创建了自动 TOMO(A-TOMO)和自动 VMAT(A-VMAT)计划。我们将 A-TOMO 与 M-TOMO 和 A-VMAT 计划进行了比较。采用双侧 Wilcoxon 符号秩检验进行统计分析,以 P 值为结果,对主要评估的相关剂量学参数和治疗计划效率进行评估:与 M-TOMO 计划相比,A-TOMO 计划保持了相似的目标剂量均匀性,目标符合性有所改善,目标外剂量下降更快,并显示出显著的统计学差异(膀胱和直肠的 P+ 50Gy、V40Gy 和 Dmean,以及肠袋、股骨头和肾脏的 Dmean(均为 P+ 结论:我们成功开发出了 A-TOMO 计划,并将其应用于治疗膀胱癌和直肠癌:我们成功开发了宫颈癌的 A-TOMO 计划方法。与 M-TOMO 计划相比,A-TOMO 计划提高了目标一致性,减少了 OAR 的辐射剂量。此外,A-TOMO计划的质量与A-VMAT计划相当或更高。A-TOMO 计划方法大大提高了治疗计划的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiation Oncology
Radiation Oncology ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
6.50
自引率
2.80%
发文量
181
审稿时长
3-6 weeks
期刊介绍: Radiation Oncology encompasses all aspects of research that impacts on the treatment of cancer using radiation. It publishes findings in molecular and cellular radiation biology, radiation physics, radiation technology, and clinical oncology.
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