对Ethos智能优化引擎对左侧本地高级乳腺癌的评估
Jessica Prunaretty1, Laura Lopez1, Morgane Cabaillé1
1Radiotherapy Department, Montpellier Regional Cancer Institute, Montpellier, France.
Frontiers in oncology
|July 17, 2024
概括
使用Ethos系统对左侧乳腺癌的自动化治疗计划证明是可行的,并且在临床上是可以接受的. 这种方法提供了与手工计划相当的质量,同时大大减少了工作流程的时间和变化.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 癌症治疗方法 癌症治疗方法
背景情况:
- 针对区域淋巴结参与的左侧乳腺癌的标准化治疗计划对于一致的患者护理至关重要.
- 埃索斯处理计划系统 (TPS) 提供了自动化计划生成的潜力,旨在提高效率并减少运营商间的变化.
研究的目的:
- 评估使用Ethos标准规划模板治疗左侧乳腺癌的可行性和临床可接受性.
- 为了比较自动化的Ethos计划与手动生成的计划在剂量计质量,危险器官节省和治疗交付效率方面.
主要方法:
- 使用5名患者的队列开发了一个规划模板,并对15名局部晚期左乳腺癌患者进行了验证.
- 使用Ethos TPS使用标准的3部分弧VMAT和特定的聚合器角度 (45/285/345°和30/60/330°) 创建自动图.
- 自动化计划与手工创建的计划进行了比较,使用剂量指数 (PTV/CTV覆盖率,同质性,一致性) 和风险器官剂量,然后由放射瘤学家进行盲目临床评估.
主要成果:
- 自动化计划显示了可比的PTV覆盖率和显著改善的CTV_乳房D99% (p<0.002) 与手动计划相比,具有相当的风险器官剂量.
- 治疗交付显示自动化计划的监控单位 (MU) 增加,但光束启动时间没有变化;马指数通过率超过98%.
- 盲目评估认为大多数自动化计划在临床上是可以接受的 (13/15对于Ethos 45°,11/15对于Ethos 30°).
结论:
- 埃索斯TPS可以通过使用标准模板,与手动计划相比,为局部晚期乳腺癌生成临床上可接受的自动化治疗计划.
- 自动化规划大大减少了工作流程时间和操作员的变化,提高了辐射瘤学的效率和一致性.
更多相关视频
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
8.9K
13:43Intraductal Delivery and X-ray Visualization of Ethanol-Based Ablative Solution for Prevention and Local Treatment of Breast Cancer in Mouse Models
Published on: April 1, 2022
4.5K
相关概念视频
Adaptive Mechanisms in Cancer Cells
5.8K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.8K
Cancer Survival Analysis
870
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
870
