Yang N C, Leichner P K, Fishman E K, Siegelman S S, Frenkel T L, Wallace J R, Loudenslager D M, Hawkins W G, Order S E
J Comput Assist Tomogr. 1986 Jul-Aug;10(4):621-8. doi: 10.1097/00004728-198607000-00015.
A new computer algorithm is described for liver and tumor volume determinations for patients with hepatoma and primary hepatic cholangiocarcinoma. The algorithm is based on global histograms of CT numbers of the liver and primary liver cancers. The algorithm includes computer-assisted definition of the liver boundary in each CT slice. Liver and tumor volumes of 10 patients calculated by the histogram method were compared with volumes obtained from CT slices that were manually contoured by experienced observers. A correlation coefficient of 0.995 was determined for these two methods of volume computations. Mean values of the differences in volumes obtained by the two methods were 6.7 and 8.0% for the liver and tumor, respectively. The computer algorithm was tested on CT scans for an additional 46 patients by highlighting regions corresponding to normal liver and tumor tissues in each CT slice and determined to be accurate by experienced observers. The computer software is being used clinically to assess tumor response in a new treatment program for primary liver cancers that includes radiolabeled antibodies.
描述了一种用于确定肝癌和原发性肝内胆管癌患者肝脏及肿瘤体积的新计算机算法。该算法基于肝脏和原发性肝癌CT值的全局直方图。算法包括在每个CT切片中通过计算机辅助定义肝脏边界。将通过直方图法计算的10例患者的肝脏和肿瘤体积与由经验丰富的观察者手动勾勒轮廓的CT切片所获得的体积进行比较。这两种体积计算方法的相关系数为0.995。两种方法所获得的肝脏和肿瘤体积差异的平均值分别为6.7%和8.0%。通过突出显示每个CT切片中对应于正常肝脏和肿瘤组织的区域,该计算机算法在另外46例患者的CT扫描上进行了测试,并被经验丰富的观察者确定为准确。该计算机软件正在临床上用于评估一项针对原发性肝癌的新治疗方案中的肿瘤反应,该方案包括放射性标记抗体。