Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation.
Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation.
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DOI：
10.1186/1748-717x-8-154
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发表时间：
2013-06-26
期刊：
影响因子：
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通讯作者：
Blumhofer A
中科院分区：
文献类型：
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作者：
Daisne JF;Blumhofer A
头颈部肿瘤的调强放射治疗需要精确定义危及器官（OAR）和临床靶体积（CTV）。这一关键步骤非常耗时，并且容易出现观察者之间和观察者内部的差异。通过图谱可变形配准的自动分割可以帮助减少时间和变化。我们的目标是测试一种新的商业图谱算法，用于在理想和临床条件下自动分割OAR和CTV。在20名患者中测试了更新的Brainlab自动头颈部图谱分割：10名cN0分期（理想人群）和10名cNN分期（临床人群）。在手动描绘OAR和CTV之后，对同一组结构进行自动分割，然后手动校正。计算"手动与自动"和"手动与校正"体积比较的骰子相似系数（DSC）、平均表面距离（ASD）和最大表面距离（MSD）。在这两组中，自动分割节省了约40%的相应手动分割时间。OAR的这种效应比CTV更明显。自动获得的轮廓的编辑显着改善DSC，ASD和MSD。正常解剖结构的大变形或缺乏碘造影剂是限制因素。更新后的Brainlab atlas自动分割工具用于头颈部癌症患者，节省了时间，但仍需要专家进行审查和纠正。
Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for automatic segmentation of OAR and CTV in both ideal and clinical conditions. The updated Brainlab automatic head and neck atlas segmentation was tested on 20 patients: 10 cN0-stages (ideal population) and 10 unselected N-stages (clinical population). Following manual delineation of OAR and CTV, automatic segmentation of the same set of structures was performed and afterwards manually corrected. Dice Similarity Coefficient (DSC), Average Surface Distance (ASD) and Maximal Surface Distance (MSD) were calculated for “manual to automatic” and “manual to corrected” volumes comparisons. In both groups, automatic segmentation saved about 40% of the corresponding manual segmentation time. This effect was more pronounced for OAR than for CTV. The edition of the automatically obtained contours significantly improved DSC, ASD and MSD. Large distortions of normal anatomy or lack of iodine contrast were the limiting factors. The updated Brainlab atlas-based automatic segmentation tool for head and neck Cancer patients is timesaving but still necessitates review and corrections by an expert.