Simões Rita, Wortel Geert, Wiersma Terry G, Janssen Tomas M, van der Heide Uulke A, Remeijer Peter
Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Phys Imaging Radiat Oncol. 2019 Nov 30;12:38-43. doi: 10.1016/j.phro.2019.11.003. eCollection 2019 Oct.
Automatic delineations are often used as a starting point in the radiotherapy contouring workflow, after which they are manually reviewed and adapted. The purpose of this work was to quantify the geometric differences between automatic and manually edited breast clinical target volume (CTV) contours and evaluate the dosimetric impact of such differences.
Eighty-seven automatically generated and manually edited contours of the left breast were retrieved from our clinical database. The automatic contours were obtained with a commercial auto-segmentation toolbox. The geometrical comparison was performed both locally and globally using the Dice score and the 95% Hausdorff distance (HD). Two treatment plans were generated for each patient and the obtained dosimetric differences were quantified using dose-volume histogram (DVH) parameters in the lungs, heart and planning target volume (PTV). An inter-observer variability study with four observers was performed on a subset of ten patients.
A median Dice score of 0.95 and a median 95% HD of 9.7 mm were obtained. Larger breasts were consistently under-contoured. Cranial under-contouring resulted in more than 5% relative decrease in PTV coverage in 15% of the patients while lateroposterior over-contouring increased the lung V by a maximum of 2%. The inter-observer variability of the PTV coverage was smaller than the difference between PTV coverage achieved by the automatic and the consensus contours.
Cranial under-contouring resulted in under-treatment, while lateroposterior over-contouring resulted in an increased lung dosage that is clinically irrelevant, showing the need to consider dose distributions to assess the clinical impact of local geometrical differences.
在放射治疗轮廓勾画工作流程中,自动勾画常被用作起点,之后会进行人工审核和调整。本研究的目的是量化自动勾画与人工编辑的乳腺临床靶区(CTV)轮廓之间的几何差异,并评估这些差异对剂量学的影响。
从我们的临床数据库中检索出87例左侧乳腺的自动生成和人工编辑的轮廓。自动轮廓是使用商业自动分割工具箱获得的。使用Dice系数和95%豪斯多夫距离(HD)在局部和全局进行几何比较。为每位患者生成两个治疗计划,并使用肺、心脏和计划靶区(PTV)的剂量体积直方图(DVH)参数量化获得的剂量学差异。对10例患者的子集进行了由4名观察者参与的观察者间变异性研究。
获得的中位Dice系数为0.95,中位95%HD为9.7毫米。较大的乳房轮廓一直不足。颅侧轮廓不足导致15%的患者PTV覆盖率相对降低超过5%,而后外侧轮廓过度则使肺V增加最多2%。PTV覆盖率的观察者间变异性小于自动轮廓和共识轮廓所实现的PTV覆盖率之间的差异。
颅侧轮廓不足导致治疗不足,而后外侧轮廓过度导致肺部剂量增加,但在临床上不相关,这表明需要考虑剂量分布以评估局部几何差异的临床影响。