Lu Jun, Xu Hui, Zheng Jing, Cheng Tianxin, Han Xinjun, Wang Yuxin, Meng Xuxu, Li Xiaoyang, Jiang Jiahui, Dong Xue, Zhang Xijie, Wang Zhenchang, Yang Zhenghan, Xu Lixue
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Department of General Surgery, The Second Clinical Medical School, Lanzhou University, Lanzhou, China.
Korean J Radiol. 2025 May;26(5):411-421. doi: 10.3348/kjr.2024.0857.
Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown. This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity.
This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI, FAI, and FAI) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman's correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC).
The FAI and FAI scores were significantly higher than FAI in three phases (all < 0.001). The FAI and FAI scores moderately correlated with the UCEIS score ( = 0.474-0.649 among the three phases). Additionally, FAI and FAI identified severe UC, with AUC varying from 0.77 to 0.85.
Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI and FAI of three phases showed similar prediction accuracies for severe UC identification.
准确评估溃疡性结肠炎(UC)的炎症严重程度可指导治疗策略的选择。CT上结肠周围脂肪衰减指数(FAI)作为疾病严重程度指标的潜在价值尚不清楚。本研究旨在评估结肠周围FAI在预测UC严重程度方面的诊断准确性。
这项回顾性研究纳入了148例患者(平均年龄48岁;男性87例)。在四个不同位置测量CT上的脂肪衰减:最严重肠病变周围的结肠系膜血管侧(MS)和MS的对侧(OMS)、腹膜后间隙(RS)以及皮下区域。脂肪衰减指数(FAI、FAI和FAI)分别计算为在MS、OMS和RS处测量的脂肪衰减减去皮下区域的脂肪衰减,并在平扫、动脉期和延迟期获得。使用Spearman相关性评估FAI与UC内镜严重程度指数(UCEIS)之间的相关性。通过单变量分析选择重度UC(UCEIS≥7)的预测因素。使用受试者操作特征曲线下面积(AUC)评估FAI在预测重度UC方面的性能。
在三个阶段中,FAI和FAI评分均显著高于FAI(均P<0.001)。FAI和FAI评分与UCEIS评分中度相关(三个阶段中r=0.474 - 0.649)。此外,FAI和FAI可识别重度UC,AUC在0.77至0.85之间。
结肠周围脂肪组织CT衰减增加可作为评估UC严重程度的无创标志物。三个阶段的FAI和FAI在识别重度UC方面显示出相似的预测准确性。