Li Ke-Ying, Ou Jing, Zhou Hai-Ying, Yu Zi-Yi, Gao Dan, You Xin-Yi, Zhang Xiao-Ming, Li Rui, Chen Tian-Wu
Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Front Oncol. 2022 Nov 17;12:1038135. doi: 10.3389/fonc.2022.1038135. eCollection 2022.
To determine whether gross tumor volume (GTV) of adenocarcinoma of esophagogastric junction (AEG) corresponding to cT and cN stages measured on CT could help quantitatively determine resectability.
343 consecutive patients with AEG, including 279 and 64 randomly enrolled in training cohort (TC) and validation cohort (VC), respectively, underwent preoperative contrast-enhanced CT. Univariate and multivariate analyses for TC were performed to determine factors associated with resectability. Receiver operating characteristic (ROC) analyses were to determine if GTV corresponding to cT and cN stages could help determine resectability. For VC, Cohen's Kappa tests were to assess performances of the ROC models.
cT stage, cN stage and GTV were independently associated with resectability of AEG with odds ratios of 4.715, 4.534 and 1.107, respectively. For differentiating resectable and unresectable AEG, ROC analyses showed that cutoff GTV of 32.77 cm in stage cTN with an area under the ROC curve (AUC) of 0.901. Particularly, cutoffs of 27.67 and 32.77 cm in stages cT and cT obtained AUC values of 0.860 and 0.890, respectively; and cutoffs of 27.09, 33.32 and 37.39 cm in stages cN, cN and cN obtained AUC values of 0.852, 0.821 and 0.902, respectively. In VC, Cohen's Kappa tests verified that the ROC models had good performance in distinguishing between resectable and unresectable AEG (all Cohen's K values > 0.72).
GTV, cT and cN stages could be independent determinants of resectability of AEG. And GTV corresponding to cT and cN stages can help quantitatively determine resectability.
确定在CT上测量的与cT和cN分期相对应的食管胃交界腺癌(AEG)的大体肿瘤体积(GTV)是否有助于定量确定可切除性。
343例连续性AEG患者,其中279例和64例分别随机纳入训练队列(TC)和验证队列(VC),术前行增强CT检查。对TC进行单因素和多因素分析以确定与可切除性相关的因素。采用受试者操作特征(ROC)分析来确定与cT和cN分期相对应的GTV是否有助于确定可切除性。对于VC,采用Cohen's Kappa检验评估ROC模型的性能。
cT分期、cN分期和GTV与AEG的可切除性独立相关,优势比分别为4.715、4.534和1.107。对于区分可切除和不可切除的AEG,ROC分析显示cTN分期中GTV的截断值为32.77 cm,ROC曲线下面积(AUC)为0.901。特别是,cT和cT分期中截断值分别为27.67和32.77 cm时,AUC值分别为0.860和0.890;cN、cN和cN分期中截断值分别为27.09、33.32和37.39 cm时,AUC值分别为0.852、0.821和0.902。在VC中,Cohen's Kappa检验证实ROC模型在区分可切除和不可切除的AEG方面具有良好性能(所有Cohen's K值>0.72)。
GTV、cT和cN分期可能是AEG可切除性的独立决定因素。并且与cT和cN分期相对应的GTV有助于定量确定可切除性。