Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review.
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DOI：
10.1016/j.radonc.2021.05.003
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发表时间：
2021-07
影响因子：
5.7
通讯作者：
Gillespie, Erin F.
中科院分区：
文献类型：
--
作者：
Sherer, Michael, V;Lin, Diana;Elguindi, Sharif;Duke, Simon;Tan, Li-Tee;Cacicedo, Jon;Dahele, Max;Gillespie, Erin F.
基于人工智能的方法的进步导致了许多放射治疗自动分割系统的开发和出版。这些系统有可能减少轮廓变异性，这与不良的临床结果和治疗计划工作流程的效率提高有关。然而，没有统一的标准来评估自动分割平台，以评估其在满足这些目标方面的有效性。在这里，我们审查最常用的评估技术，其中包括几何重叠，剂量学参数，所花费的时间轮廓，和临床评级量表。这些数据表明，许多最常用的几何指标，如骰子相似系数，与临床有意义的终点相关性不好。因此，多域评估（包括复合几何和/或剂量测定指标以及医生报告的评估）对于衡量放射治疗计划自动分割的临床准备情况是必要的。
Advances in artificial intelligence-based methods have led to the development and publication of numerous systems for auto-segmentation in radiotherapy. These systems have the potential to decrease contour variability, which has been associated with poor clinical outcomes and increased efficiency in the treatment planning workflow. However, there are no uniform standards for evaluating auto-segmentation platforms to assess their efficacy at meeting these goals. Here, we review the most frequently used evaluation techniques which include geometric overlap, dosimetric parameters, time spent contouring, and clinical rating scales. These data suggest that many of the most commonly used geometric indices, such as the Dice Similarity Coefficient, are not well correlated with clinically meaningful endpoints. As such, a multi-domain evaluation, including composite geometric and/or dosimetric metrics with physician-reported assessment, is necessary to gauge the clinical readiness of auto-segmentation for radiation treatment planning.
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影响因子：
4.7
作者：
Chang ATY;Tan LT;Duke S;Ng WT
通讯作者：
Ng WT
DOI：
10.1016/j.ijrobp.2012.09.023
发表时间：
2013-05-01
影响因子：
7
作者：
Kachnic, Lisa A.;Winter, Kathryn;Myerson, Robert J.;Goodyear, Michael D.;Willins, John;Esthappan, Jacqueline;Haddock, Michael G.;Rotman, Marvin;Parikh, Parag J.;Safran, Howard;Willett, Christopher G.
通讯作者：
Willett, Christopher G.
DOI：
10.1186/1748-717x-8-154
发表时间：
2013-06-26
期刊：
Radiation oncology (London, England)
影响因子：
--
作者：
Daisne JF;Blumhofer A
通讯作者：
Blumhofer A
影响因子：
5.7
作者：
Cha, Elaine;Elguindi, Sharif;Onochie, Ifeanyirochukwu;Gorovets, Daniel;Deasy, Joseph O.;Zelefsky, Michael;Gillespie, Erin F.
通讯作者：
Gillespie, Erin F.
影响因子：
1.9
作者：
Bell, Lauren;Holloway, Lois;Hellebust, Taran Paulsen
通讯作者：
Hellebust, Taran Paulsen