AccuContour软件自动勾画胸腹部肿瘤患者两种胃结构比较

目的 使用基于深度学习的AccuContour软件自动勾画胸腹部肿瘤患者正常胃和胸腔胃结构,对勾画效果进行评估和比较.方法 选取36例胸腹部肿瘤患者,分为2组,其中18例正常胃患者为A组,其余18例食管癌术后胸腔胃患者为B组.使用AccuContour软件在患者的定位CT图像上自动勾画胃结构,对自动勾画和手工勾画的体积...

Comparison of the automatic delineation of two kinds of stomach by the AccuContour software for patients with thoracic and abdominal tumors

Objective To delineate the normal stomach and thoracic stomach structure of patients with thoracic and abdominal tumor automatically using the AccuContour software based on deep learning in order to evaluate and compare the results.Methods Thirty-six patients with choracic and abdominal tumors were chosen for this study, and were divided into two groups. Group A included 18 patients with normal stomach, and group B included the other 18 patients undergoing esophageal carcinoma operation with thoracic stomach. The stomach structures were automatically delineated by the AccuContour software in the simulation CT series. Statistical analysis was carried out to data of the differences in volume, position and shape between the automatic and manual delineations, and data of the two kinds of stomach were compared.Results For group A, the differences in volume (ΔV%) between the automatic and manual delineations was (-1.82 ±9.65)%, the total position difference (ΔL) was (0.51 ±0.37) cm, the values of dice similarity coefficient (DSC) was 0.89 ±0.04. There were significant differences in values of ΔV%、ΔL and DSC (P < 0.05).Conclusion The used version of AccuContour software in this study had a satisfactory result of automatic delineation of the normal stomach structure larger than certain volume, but could not delineate the thoracic stomach structures effectively for patients undergoing esophageal carcinoma operation.