PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes
PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes
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DOI：
10.1016/j.ijrobp.2006.12.067
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发表时间：
2007-07-01
影响因子：
7
通讯作者：
De Ruysscher, Dirk
中科院分区：
文献类型：
--
作者：
Van Baardwijk, Angela;Bosmans, Geert;De Ruysscher, Dirk
目的：比较源-背景比（SBR）为基础的PET-CT自动描绘与病理在非小细胞肺癌（NSCLC），并探讨是否自动描绘减少观察者间的变异性与手动PET-CT为基础的总肿瘤体积（GTV）delineation.Methods和材料：源-背景比为基础的自动描绘与宏观肿瘤尺寸进行了比较，以评估其有效性在23个肿瘤。此后，由5名观察员在33次PET-CT扫描中手动描绘原发肿瘤（GTV-1）和受累淋巴结（GTV-2）的GTV。6个月后使用自动轮廓重复描绘。观察员对这一轮廓进行了编辑。为了进行比较，计算了一致性指数（CI），定义为两个体积的交叉和联合的比率（A boolean AND B）/（A布尔OR B）。结果：基于SBR的自动轮廓的最大肿瘤直径与原发性肿瘤的宏观直径密切相关（相关系数= 0.90），对受累淋巴结的准确性为67%，特异性为95%。GTV-1（分别为31.8和34.6 cm 3; p = 0.001）和GTV-2（分别为16.3和21.8 cm 3; p = 0.02）的基于自动轮廓的中位靶体积小于手动勾画的靶体积。对于GTV-1，基于自动轮廓的方法的CI高于手动方法（分别为0.74和0.70 cm（3）; p < 0.001）和GTV-2（分别为0.60和0.51 cm（3）; p = 0.11）。基于源背景比的自动描绘显示出与病理的良好相关性，减少了GTV的描绘体积，并减少了观察者间的差异。自动轮廓勾画可进一步改善NSCLC患者的靶勾画质量。(c)2007爱思唯尔公司
Purpose: To compare source-to-background ratio (SBR)-based PET-CT auto-delineation with pathology in non-small-cell lung cancer (NSCLC) and to investigate whether auto-delineation reduces the interobserver variability compared with manual PET-CT-based gross tumor volume (GTV) delineation.Methods and Materials: Source-to-background ratio-based auto-delineation was compared with macroscopic tumor dimensions to assess its validity in 23 tumors. Thereafter, GTVs were delineated manually on 33 PET-CT scans by five observers for the primary tumor (GTV-1) and the involved lymph nodes (GTV-2). The delineation was repeated after 6 months with the auto-contour provided. This contour was edited by the observers. For comparison, the concordance index (CI) was calculated, defined as the ratio of intersection and the union of two volumes (A boolean AND B)/(A boolean OR B).Results: The maximal tumor diameter of the SBR-based auto-contour correlated strongly with the macroscopic diameter of primary tumors (correlation coefficient = 0.90) and was shown to be accurate for involved lymph nodes (sensitivity 67 %, specificity 95 %). The median auto-contour-based target volumes were smaller than those defined by manual delineation for GTV-1 (31.8 and 34.6 cm(3), respectively; p = 0.001) and GTV-2 (16.3 and 21.8 cm 3, respectively; p = 0.02). The auto-contour-based method showed higher CIs than the manual method for GTV-1 (0.74 and 0.70 cm(3), respectively; p < 0.001) and GTV-2 (0.60 and 0.51 cm(3), respectively; p = 0.11).Conclusion: Source-to-background ratio-based auto-delineation showed a good correlation with pathology, decreased the delineated volumes of the GTVs, and reduced the interobserver variability. Auto-contouring may further improve the quality of target delineation in NSCLC patients. (c) 2007 Elsevier Inc.