Suppr超能文献

钆塞酸增强 MRI 衍生的功能性肝脏成像评分(FLIS)和脾脏直径可预测 ACLD 的结局。

Gadoxetic acid-enhanced MRI-derived functional liver imaging score (FLIS) and spleen diameter predict outcomes in ACLD.

机构信息

Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.

出版信息

J Hepatol. 2022 Oct;77(4):1005-1013. doi: 10.1016/j.jhep.2022.04.032. Epub 2022 May 4.

Abstract

BACKGROUND & AIMS: Functional liver imaging score (FLIS) - derived from gadoxetic acid-enhanced MRI - correlates with liver function and independently predicts liver-related mortality in patients with chronic liver disease (CLD), while splenic craniocaudal diameter (SCCD) is a marker of portal hypertension. The aim of this study was to investigate the accuracy of a combination of FLIS and SCCD for predicting hepatic decompensation, acute-on-chronic liver failure (ACLF), and mortality in patients with advanced CLD (ACLD).

METHODS

We included 397 patients with CLD who underwent gadoxetic acid-enhanced liver MRI. The FLIS was calculated by summing the points (0-2) of 3 hepatobiliary-phase features: hepatic enhancement, biliary excretion, and portal vein signal intensity. Patients were stratified into 3 groups according to liver fibrosis severity and presence/history of hepatic decompensation: non-ACLD, compensated ACLD (cACLD), and decompensated ACLD (dACLD).

RESULTS

SCCD showed excellent intra- and inter-reader agreement. Importantly, SCCD was an independent risk factor for hepatic decompensation in patients with cACLD (per cm; adjusted hazard ratio [aHR] 1.13; 95% CI 1.04-1.23; p = 0.004). Patients with cACLD and a FLIS of 0-3 points and/or a SCCD of >13 cm were at increased risk of hepatic decompensation (aHR 3.07; 95% CI 1.43-6.59; p = 0.004). In patients with dACLD, a FLIS of 0-3 was independently associated with an increased risk of ACLF (aHR 2.81; 95% CI 1.16-6.84; p = 0.02), even after adjusting for other prognostic factors. Finally, a FLIS and SCCD-based algorithm was independently predictive of transplant-free mortality and stratified the probability of transplant-free survival (TFS) in ACLD (p <0.001): FLIS 4-6 and SCCD ≤13 cm (5-year TFS of 84%) vs. FLIS 4-6 and SCCD >13 cm (5-year TFS of 70%) vs. FLIS 0-3 (5-year TFS of 24%).

CONCLUSION

The FLIS and SCCD are simple imaging markers that provide complementary information for risk stratification in patients with compensated and decompensated ACLD.

LAY SUMMARY

Magnetic resonance imaging (MRI) can be used to assess the state of the liver. Previously the functional liver imaging score, which is based on MRI criteria, was developed as a measure of liver function and to predict the risk of liver-related complications or death. By combining this score with a measurement of spleen diameter, also using MRI, we generated an algorithm that could predict the risk of adverse liver-related outcomes in patients with advanced chronic liver disease.

摘要

背景与目的

基于钆塞酸增强 MRI 的功能肝脏成像评分(FLIS)与肝功能相关,可独立预测慢性肝病(CLD)患者的肝脏相关死亡率,而脾脏长径(SCCD)是门静脉高压的标志物。本研究旨在探讨 FLIS 与 SCCD 联合预测晚期 CLD(ACLD)患者肝失代偿、慢加急性肝衰竭(ACLF)和死亡率的准确性。

方法

我们纳入了 397 例接受钆塞酸增强肝脏 MRI 的 CLD 患者。FLIS 通过对 3 个肝胆期特征(肝强化、胆汁排泄和门静脉信号强度)的分数(0-2 分)求和计算得出。根据肝纤维化严重程度和肝失代偿的存在/既往史将患者分为 3 组:非 ACLD、代偿性 ACLD(cACLD)和失代偿性 ACLD(dACLD)。

结果

SCCD 具有极好的内部和读者间一致性。重要的是,SCCD 是 cACLD 患者肝失代偿的独立危险因素(每增加 1 cm;调整后的危险比[aHR] 1.13;95%CI 1.04-1.23;p = 0.004)。cACLD 患者 FLIS 为 0-3 分和/或 SCCD >13 cm 时,肝失代偿风险增加(aHR 3.07;95%CI 1.43-6.59;p = 0.004)。在 dACLD 患者中,FLIS 为 0-3 与 ACLF 风险增加独立相关(aHR 2.81;95%CI 1.16-6.84;p = 0.02),即使在调整了其他预后因素后也是如此。最后,基于 FLIS 和 SCCD 的算法可独立预测无移植死亡率,并对 ACLD 的无移植生存率(TFS)进行分层(p <0.001):FLIS 4-6 和 SCCD ≤13 cm(5 年 TFS 为 84%)与 FLIS 4-6 和 SCCD >13 cm(5 年 TFS 为 70%)与 FLIS 0-3(5 年 TFS 为 24%)。

结论

FLIS 和 SCCD 是简单的影像学标志物,可为代偿性和失代偿性 ACLD 患者的风险分层提供补充信息。

简要说明

磁共振成像(MRI)可用于评估肝脏状态。之前开发的功能肝脏成像评分(FLIS)是基于 MRI 标准的,用于衡量肝功能并预测与肝脏相关的并发症或死亡风险。通过将此评分与使用 MRI 测量的脾脏直径相结合,我们生成了一种算法,可预测晚期慢性肝病患者发生不良肝脏相关结局的风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验