Department of Radiology, Northwestern University, Chicago, IL, USA.
Quinnipiac School of Medicine, North Haven, CT, USA.
Abdom Radiol (NY). 2024 Feb;49(2):357-364. doi: 10.1007/s00261-023-04092-9. Epub 2023 Nov 21.
To assess the diagnostic performance and reliability of 18 CT signs to diagnose cecal volvulus, a surgical emergency, versus a group of non-volvulus mimickers.
Four radiologists retrospectively and independently assessed 18 CT signs in 191 patients with cecal volvulus (n = 63) or a non-volvulus control group ((n = 128), including cecal bascule (n = 19), mobile cecum (n = 95), and colonic pseudo-obstruction (n = 14)) at a single institution from 2013 to 2021. Fleiss' kappa coefficient was used to assess inter-reader agreement. For diagnostic performance metrics, we assessed sensitivity, specificity, and positive and negative predictive values. For predictive performance, all 18 signs were included in bivariate and stepwise lasso multivariate logistic regression models to diagnose cecal volvulus. Performance was assessed by ROC curves.
191 patients (mean age: 63 years +/- 15.5 [SD]; 135 women) were included in the study. Nine of the 18 CT signs of cecal volvulus demonstrated good or better (> 0.6) inter-reader agreement. Individual CT signs with sensitivity, specificity, positive and negative predictive values all above 70% for diagnosing cecal volvulus were transition point, bird beak, and X-marks-the-spot. A lasso regression model determined four CT features: transition point, bird beak, coffee bean, and whirl had excellent prediction (AUC = .979) for cecal volvulus if all present.
CT signs for cecal volvulus that have high sensitivity and specificity include: transition point, bird beak, and X-marks-the-spot and were reliable in distinguishing non-volvulus mimickers. If the following four features were present: transition point, bird beak, coffee bean, and whirl, there was excellent prediction (AUC = .979) for cecal volvulus.
评估 18 项 CT 征象在诊断盲肠扭转(一种外科急症)与非扭转模拟者中的诊断性能和可靠性。
4 名放射科医生在 2013 年至 2021 年在一家机构对 191 名盲肠扭转患者(n=63)和非扭转对照组患者(n=128)(包括盲肠跷跷板(n=19)、活动盲肠(n=95)和结肠假性梗阻(n=14))进行回顾性、独立评估 18 项 CT 征象。采用 Fleiss' kappa 系数评估读者间一致性。对于诊断性能指标,我们评估了敏感性、特异性和阳性与阴性预测值。对于预测性能,将所有 18 项征象纳入双变量和逐步套索多变量逻辑回归模型,以诊断盲肠扭转。通过 ROC 曲线评估性能。
研究纳入 191 名患者(平均年龄:63 岁±15.5[标准差];135 名女性)。盲肠扭转的 18 项 CT 征象中,有 9 项显示出良好或更好的(>0.6)读者间一致性。单独的 CT 征象在诊断盲肠扭转时的敏感性、特异性、阳性和阴性预测值均高于 70%的有转折点、鸟嘴和 X 形斑点。套索回归模型确定了四个 CT 特征:转折点、鸟嘴、咖啡豆和漩涡,如果全部存在,则对盲肠扭转具有极好的预测(AUC=0.979)。
具有高敏感性和特异性的盲肠扭转 CT 征象包括:转折点、鸟嘴和 X 形斑点,可用于区分非扭转模拟者。如果存在以下四个特征:转折点、鸟嘴、咖啡豆和漩涡,则对盲肠扭转有极好的预测(AUC=0.979)。