Wan Shang, He Yuhao, Zhang Xin, Wei Yi, Song Bin
Department of Radiology, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, People's Republic of China.
Department of Neurosurgery, Third People's Hospital of Chengdu, Chengdu, 610031, People's Republic of China.
Insights Imaging. 2022 Mar 14;13(1):47. doi: 10.1186/s13244-022-01189-5.
We aimed to assess whether the quantitative parameters of esophageal varices (EV) based on computed tomography (CT) can noninvasively predict severe EV and the risk of esophageal variceal bleeding (EVB).
A total of 136 endoscopically confirmed EV patients were included in this retrospective study and were divided into a non-conspicuous (mild-to-moderate EV, n = 30) and a conspicuous EV group (severe EV, n = 106), a bleeding (n = 89) and a non-bleeding group (n = 47). EV grade (EVG), EV diameter (EVD), cross-sectional surface area (CSA), EV volume (EVV), spleen volume (SV), splenic vein (SNV), portal vein (PV), diameter of left gastric vein (DLGV), and the opening type of LGV were measured independently using 3D-slicer. Univariate and multivariate logistic analysis were used to determine the independent factors and the receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic performance.
The difference of EVG, EVD, CSA, EVV, DLGV, SNV between the conspicuous and non-conspicuous EV group were statistically significant (p < 0.05), area under the curves (AUCs) of them for predicting severe EV were 0.72, 0.772, 0.704, 0.768, 0.707, 0.65, with corresponding sensitivities of 70.3%, 63.5%, 50%, 74.3%, 52.7%, 48.6%, specificities of 71.4%, 85.7%, 100%, 71.4%, 81%, 81%, respectively. EVG, CSA (odds ratio 3.258, 95% CI 1.597-6.647; 1.029, 95% CI 1.008-1.050) were found to be independent predictive factors. However, there was no significant difference of the included indices between the bleeding and non-bleeding group (p > 0.05).
CT can be used as a noninvasive method to predict the severity of EV, which may reduce the invasive screening of endoscopy.
我们旨在评估基于计算机断层扫描(CT)的食管静脉曲张(EV)定量参数能否无创预测重度食管静脉曲张及食管静脉曲张破裂出血(EVB)风险。
本回顾性研究共纳入136例经内镜确诊的食管静脉曲张患者,分为不明显组(轻度至中度食管静脉曲张,n = 30)和明显组(重度食管静脉曲张,n = 106),出血组(n = 89)和非出血组(n = 47)。使用3D - slicer独立测量食管静脉曲张分级(EVG)、食管静脉曲张直径(EVD)、横截面积(CSA)、食管静脉曲张体积(EVV)、脾体积(SV)、脾静脉(SNV)、门静脉(PV)、胃左静脉直径(DLGV)以及胃左静脉开口类型。采用单因素和多因素逻辑回归分析确定独立因素,并绘制受试者工作特征(ROC)曲线评估诊断性能。
明显组与不明显组之间的EVG、EVD、CSA、EVV、DLGV、SNV差异有统计学意义(p < 0.05),它们预测重度食管静脉曲张的曲线下面积(AUC)分别为0.72、0.772、0.704、0.768、0.707、0.65,相应敏感度分别为70.3%、63.5%、50%、74.3%、52.7%、48.6%,特异度分别为71.4%、85.7%、100%、71.4%、81%、81%。发现EVG、CSA(比值比3.258,95%可信区间1.597 - 6.647;1.029,95%可信区间1.008 - 1.050)是独立预测因素。然而,出血组与非出血组之间纳入的指标无显著差异(p > 0.05)。
CT可作为无创预测食管静脉曲张严重程度的方法,这可能减少内镜的侵入性筛查。