通过 CT 和 MRI 筛查排除肝硬化食管静脉曲张的高危出血特征

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Clinical Imaging Pub Date : 2024-04-29 DOI:10.1016/j.clinimag.2024.110168
Ali Borhani , Harry Luu , Alireza Mohseni , Ziyi Xu , Mohammadreza Shaghaghi , Celestina Tolosa , Mohammad Mirza Aghazadeh Attari , Seyedeh Panid Madani , Haneyeh Shahbazian , Pegah Khoshpouri , Shadi Afyouni , Ghazal Zandieh , Ihab R. Kamel , Amy K. Kim
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引用次数: 0

摘要

背景& 目的食管静脉曲张(EV)筛查指南随着风险分层的改进而不断发展,以避免对出血风险低的人进行不必要的食管胃十二指肠镜检查(EGD)。然而,针对某些患者群体的建议仍存在不确定性,尤其是那些患有肝细胞癌(HCC)和/或正在接受非选择性β-受体阻滞剂(NSBB)且未进行过内镜检查的患者。本研究评估了成像技术在排除肝硬化和 HCC 患者体内 EVs 及其与出血相关的高风险特征方面的功效。我们还评估了NSBB对检测这些特征的影响。方法共纳入了119例在90天内接受了带有CT和/或MRI的EGD检查的患者。87名患者患有HCC。利用EVs的大小及其向食管腔内突出的程度开发了一种新的成像分级系统。在通过胃食管造影排除 EV 和/或高风险特征方面,计算了 EV 造影(-)与 EV 造影(+)(1-3 级)的阴性预测值 (NPV)。结果 在检测 EV 和高危特征方面,成像的 NPV 分别为 81% 和 92%。在 HCC 患者中,EV 和高危特征的 NPV 分别为 80% 和 64%。在统计学上,服用NSBB对EV的成像检测没有影响。与 Child-Turcotte-Pugh 评分相比,影像学检查能更好地预测高风险的 EGD 结果。
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Screening for exclusion of high-risk bleeding features of esophageal varices in cirrhosis through CT and MRI

Background & aim

Esophageal varices (EV) screening guidelines have evolved with improved risk stratification to avoid unnecessary esophagogastroduodenoscopy (EGD) in individuals with low bleeding risks. However, uncertainties persist in the recommendations for certain patient groups, particularly those with hepatocellular carcinoma (HCC) and/or receiving non-selective beta-blockers (NSBB) without prior endoscopy. This study assessed the efficacy of imaging in ruling out EVs and their high-risk features associated with bleeding in patients with cirrhosis and with HCC. We also evaluated the impact of NSBB on the detection of these characteristics.

Methods

A total of 119 patients undergoing EGD with CT and/or MRI within 90 days of the procedure were included. 87 patients had HCC. A new imaging grading system was developed utilizing the size of EVs and the extent of their protrusion into the esophagus lumen. The negative predictive value (NPV) of EVimaging(−) versus EVimaging (+) (grades 1–3) in ruling out the presence of EV and/or high-risk features by EGD was calculated. The predictive performance of imaging was determined by logistic regression.

Results

The NPV of imaging for detecting EV and high-risk features was 81 % and 92 %, respectively. Among HCC patients, the NPV for EV and high-risk features was 80 % and 64 %, respectively. Being on NSBB didn't statistically impact the imaging detection of EV. Imaging was a better predictor of high-risk EGD findings than Child-Turcotte-Pugh scores.

Conclusions

Our results suggest that imaging can effectively rule out the presence of EV and high-risk features during EGD, even in patients with HCC and/or receiving NSBB.

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来源期刊
Clinical Imaging
Clinical Imaging 医学-核医学
CiteScore
4.60
自引率
0.00%
发文量
265
审稿时长
35 days
期刊介绍: The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology
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