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- Kim, Seong Uk;
- Hwang, Jeong Ah;
- Han, Seungchul;
- Lee, Jeong Hyun;
- Choi, Seo-Youn;
- ... Ha, Sang Yun
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0초록
Objectives To propose a simplified diagnostic approach for mucinous cystic neoplasm (MCN) of the liver and compare its diagnostic performance with the European Association for the Study of the Liver (EASL) criteria. Methods We conducted a retrospective cohort study of 124 patients with pathologically confirmed lesions (13 MCNs, 111 hepatic cysts) who underwent CT/MRI between January 2016 and January 2023. Two major features (thick septation, nodularity) and five minor features (upstream biliary dilatation, thin septations, internal hemorrhage, perfusion change, < 3 coexistent hepatic cysts) of the EASL criteria were evaluated. For a septa-wall relationship, the angle of indentation was measured, and the optimal angle predicting MCN was determined by receiver operating characteristic curve analysis. Logistic regression identified features predicting MCN, and a modified criteria was developed. The sensitivity, specificity, and accuracy of both criteria were compared using McNemar's test. Results The optimal indentation angle was 111 degrees. Absence of indentation or indentation at an angle > 111 degrees (odds ratio (OR), 100.4; 95% confidence interval (CI), 4.9-2076.0) and < 3 coexistent hepatic cysts (OR, 47.8; 95% CI, 1.5-1489.1) were independent features predicting MCN. Our modified criteria used a combination of them and demonstrated greater accuracy (98.4% vs. 92.7%; p = 0.035) than the EASL criteria (a combination of >= 1 major and >= 1 minor feature[s]), with comparable sensitivity (92.3% vs. 76.9%; p = 0.317) and specificity (99.1% vs. 94.6%; p = 0.059). Conclusion Our modified criteria using two imaging features may be a promising alternative to current EASL criteria to improve accuracy in diagnosing MCN.
키워드
- 제목
- Refining imaging criteria for mucinous cystic neoplasm of the liver: simplified diagnostic approach
- 저자
- Kim, Seong Uk; Hwang, Jeong Ah; Han, Seungchul; Lee, Jeong Hyun; Choi, Seo-Youn; Ha, Sang Yun
- 발행일
- 2025-08
- 유형
- Article; Early Access
- 권
- 35
- 호
- 8
- 페이지
- 4993 ~ 5003