基于最优自动勾画的放疗计划剂量学评估

doi:10.3760/cma.j.issn.1004-4221.2017.04.012

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Abstract

Objective To evaluate the dosimetric errors of organs-at-risk (OARs) induced by the optimal auto-segmentation using Mim Maestro based on dose calculation and measurement. Methods The Mim atlas library composed of 240 nasopharyngeal carcinoma, breast cancer, and rectal cancer patients that were retrospectively selected was used for the auto-segmentation of OARs on the CT images of corresponding regions in 76 patients. Relative to the manual contouring, one optimal case was selected from each site based on conformity index (CI), mean distance to conformity (MDC), relative volume difference (Dv%), DICE, sensitivity index (Se. Idx), and inclusion index (Inc. Idx). Treatment plans were made to satisfy the DVH constraints of OARs based on auto-contours, and then the dose errors to the actual organs were evaluated in terms of calculation and measurement. The paired t-test (normal distribution) or rank sum test (non-normal distribution). Results Significant differences were observed in the 76 patients between the manual and automated segmentation (P<0.05). For the optimal cases, the DICE index of various OARs ranged from 0.43 to 0.98,and 73%(16/22) of DICE values were higher than 0.70. The calculated dose errors to various OARs were (-1.15±15.94)%(95% CI:-8.21% to 5.92%)(mean dose) and (-6.53±21.13)%(95% CI:-15.90% to 2.84%)(maximum dose). The measured dose errors were (-2.43±24.52)%(95% CI:-13.30% to 8.44%)(mean dose) and (-3.38±20.87)%(95% CI:-12.63% to 5.87%)(maximum dose). Conclusion Without human interference, even the optimal auto-segmentation Results are not clinically acceptable for treatment planning.

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	Articles by authors
	Jiang Fan
	Wu Hao
	Zhang Jian
	Wang Kun
	Zhang Hui
	Zhang Yibao

Key words： Auto-segmentation Dosimetry Assessment

Received: 19 April 2016

Fund:

The National Natural Science Foundation (11505012,81402535);Beijing Natural Science Foundation (7172048,1174016);QualitySpecial Fund for Quality Scientific Research in the Public Welfare(201510001-02);Beijing Municipal Administration of Hospitals' Youth Program(QML20151004)

Corresponding Authors: Zhang Yibao,Email:ybzhang66@163.com

Cite this article:

Jiang Fan,Wu Hao,Zhang Jian et al. A dosimetric evaluation of treatment planning based on optimal auto-segmentation[J]. Chinese Journal of Radiation Oncology, 2017, 26(4): 423-428.

URL:

http://journal12.magtechjournal.com/Jweb_fszlx/EN/10.3760/cma.j.issn.1004-4221.2017.04.012 OR http://journal12.magtechjournal.com/Jweb_fszlx/EN/Y2017/V26/I4/423

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