基于阿特拉斯的自动轮廓-平衡精度与效率在onqrts®

Q4 Medicine
S. Barley, C. Antoine, G. Webster, M. Tiffany, N. Nundlall, R. Simmons, A. Hartley
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引用次数: 3

摘要

基于阿特拉斯的OnQ rts®自动分割已被证明可为接受调强放疗治疗的头颈部患者的危险器官划定节省时间。然而,由于在繁忙的部门建立地图集的初始时间可能很高,因此研究了自动轮廓所需的地图集案例的最佳数量。使用一致性指数和平均一致性距离来比较自动生成的与金标准临床轮廓,发现将寰椎病例数从30例减少到10例,大多数轮廓不受影响。然而,由于下颌骨、喉部和脑部的准确性降低,atlas病例的最佳数量被认为是20例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Atlas-based Auto-contouring - Balancing Accuracy with Efficiency in OnQ rts ®
Atlas-based auto segmentation with OnQ rts ® has been shown to deliver time-savings for the delineation of organs at risk in head and neck patients being treated with intensity-modulated radiotherapy. However, as the initial time to set up atlases can be high in busy departments the optimal number of atlas cases needed for auto-contouring was investigated. Using conformity index and mean distance to conformity to compare automatically generated with gold standard clinical contours, it was found that the majority of contours were unaffected by reducing the number of atlas cases from 30 to 10. The optimum number of atlas cases, however, was considered to be 20 due to the reduction in accuracy of the mandible, larynx and brain, below this level.
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来源期刊
European Oncology and Haematology
European Oncology and Haematology Medicine-Hematology
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