Isambert Aurélie, Dhermain Frédéric, Bidault François, Commowick Olivier, Bondiau Pierre-Yves, Malandain Grégoire, Lefkopoulos Dimitri
Service de Physique, Institut Gustave Roussy, Villejuif, France.
Radiother Oncol. 2008 Apr;87(1):93-9. doi: 10.1016/j.radonc.2007.11.030. Epub 2007 Dec 26.
Conformal radiation therapy techniques require the delineation of volumes of interest, a time-consuming and operator-dependent task. In this work, we aimed to evaluate the potential interest of an atlas-based automatic segmentation software (ABAS) of brain organs at risk (OAR), when used under our clinical conditions.
Automatic and manual segmentations of the eyes, optic nerves, optic chiasm, pituitary gland, brain stem and cerebellum of 11 patients on T1-weighted magnetic resonance, 3-mm thick slice images were compared using the Dice similarity coefficient (DSC). The sensitivity and specificity of the ABAS were also computed and analysed from a radiotherapy point of view by splitting the ROC (Receiver Operating Characteristic) space into four sub-regions.
Automatic segmentation of OAR was achieved in 7-8 min. Excellent agreement was obtained between automatic and manual delineations for organs exceeding 7 cm3: the DSC was greater than 0.8. For smaller structures, the DSC was lower than 0.41.
These tests demonstrated that this ABAS is a robust and reliable tool for automatic delineation of large structures under clinical conditions in our daily practice, even though the small structures must continue to be delineated manually by an expert.
适形放射治疗技术需要勾勒感兴趣的区域，这是一项耗时且依赖操作人员的任务。在本研究中，我们旨在评估基于图谱的脑危及器官（OAR）自动分割软件（ABAS）在我们临床条件下使用时的潜在价值。
使用骰子相似系数（DSC）比较了11例患者在T1加权磁共振成像上3毫米厚切片图像中眼睛、视神经、视交叉、垂体、脑干和小脑的自动分割与手动分割。还通过将ROC（受试者操作特征）空间划分为四个子区域，从放射治疗的角度计算并分析了ABAS的敏感性和特异性。
OAR的自动分割在7 - 8分钟内完成。对于体积超过7立方厘米 的器官，自动分割与手动勾勒之间取得了极好的一致性：DSC大于0.8。对于较小的结构，DSC低于0.41。
这些测试表明，在我们的日常临床条件下，该ABAS是自动勾勒大型结构的强大且可靠的工具，尽管小结构仍需由专家手动勾勒。
