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Seeing Beyond the Surface: Superior performance of Ultrasound elastography over Milan ultrasound criteria in distinguishing fibrosis of ulcerative colitis

医学 纤维化 超声波 溃疡性结肠炎 弹性成像 胃肠病学 超声弹性成像 内科学 炎症性肠病 放射科 疾病
作者
Feng Zhu,Xin Chen,Xueni Qiu,Wenwen Guo,Xuesong Wang,Junying Cao,Jianfeng Gong
出处
期刊:Journal of Crohn's and Colitis [Oxford University Press]
标识
DOI:10.1093/ecco-jcc/jjae081
摘要

Abstract Background Colonic fibrosis has important clinical implications in ulcerative colitis [UC]. Ultrasound imaging has emerged as a convenient and reliable tool in diagnosis of inflammatory bowel disease. We aimed to explore the potential use of ultrasound to evaluate UC fibrosis. Methods Consecutive UC patients who had proctocolectomy from July 2022 to September 2023 were enrolled in the study. Patients underwent bowel ultrasound examination and ultrasound elastography imaging prior to surgery. Milan ultrasound criteria [MUC] were calculated and bowel wall stiffness was determined using two mean strain ratios [MSRs]. Degree of colonic fibrosis and inflammation was measured upon histological analysis. Receiver operating characteristic [ROC] analysis was used to evaluate the performance of ultrasound-derived parameters to predict fibrosis. Results In all, 56 patients were enrolled with 112 segments included in analysis. The median fibrosis score was 2 [0-4] and the median Geboes score was 5 [0-13] and these two scores were significantly correlated [p < 0.001]. The muscularis mucosa thickness was significantly higher in moderate-severe fibrosis than none-mild fibrosis [p = 0.003] but bowel wall thickness was not [p = 0.082]. The strain ratios [p < 0.001] and MUC [p = 0.010] were significantly higher in involved than non-involved segments. The strain ratios were correlated with fibrosis score [p < 0.001] but not MUC [p = 0.387]. At ROC analysis, mean strain ratio 1 [MSR1] had an area under the curve [AUC] of 0.828 [cutoff value 3.07, 95% CI 0.746-0.893, p < 0.001] to predict moderate-severe fibrosis. Conclusion Ultrasound elastography imaging could predict the degree of colonic fibrosis in UC. Application of this technique could help disease monitoring and decision making in UC patients.
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