Assessing hepatic steatosis by magnetic resonance in potential living liver donors

IF 1.4 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Diagnostic and interventional radiology Pub Date : 2024-11-06 Epub Date: 2024-05-13 DOI:10.4274/dir.2024.242697
Diğdem Kuru Öz, Zeynep Ellik, Ayşegül Gürsoy Çoruh, Mehmet Adıgüzel, Mesut Gümüşsoy, Saba Kiremitci, Onur Elvan Kırımker, Hale Gökcan, Atilla Halil Elhan, Deniz Balcı, Berna Savaş, Ayşe Erden, Ramazan İdilman
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引用次数: 0

Abstract

Purpose: To determine the accuracy of magnetic resonance imaging-proton density fat fraction (MRI-PDFF) measurements for detecting liver fat content in potential living liver donors and to compare these results using liver biopsy findings.

Methods: A total of 139 living liver donors (men/women: 83/56) who underwent MRI between January 2017 and September 2021 were included in this analysis retrospectively. The PDFFs were measured using both MR spectroscopy (MRS) and chemical shift-based MRI (CS-MRI) for each donor in a blinded manner.

Results: Significant positive correlations were found between liver biopsy and MRS-PDFF and CS-MRI PDFF in terms of hepatic steatosis detection [r = 0.701, 95% confidence interval (CI): 0.604–0.798, r = 0.654, 95% CI: 0.544–0.765, P < 0.001, respectively). A weak level correlation was observed between liver biopsy, MRI methods, and vibration-controlled transient elastography attenuation parameters in 42 available donors. Based on receiver operating characteristic (ROC) analysis, MRS-PDFF and CS-MRI PDFF significantly distinguished >5% of histopathologically detected hepatic steatosis with an area under the ROC curve (AUC) of 0.837 ± 0.036 (P < 0.001, 95% CI: 0.766–0.907) and 0.810 ± 0.036 (P < 0.001, 95% CI: 0.739–0.881), respectively. The negative predictive values (NPVs) of MRS-PDFF and CS-MRI PDFF were 88.3% and 81.3%, respectively. In terms of distinguishing between clinically significant hepatic steatosis (≥10% on histopathology), the AUC of MRS-PDFF and CS-MRI were 0.871 ± 0.034 (P < 0.001 95% CI: 0.804–0.937) and 0.855 ± 0.036 (P < 0.001, 95% CI: 0.784–0.925), respectively. The NPVs of MRS-PDFF and CS-MRI were 99% and 92%, respectively.

Conclusion: The methods of MRS-PDFF and CS-MRI PDFF provide a non-invasive and accurate approach for assessing hepatic steatosis in potential living liver donor candidates. These MRI PDFF techniques present a promising clinical advantage in the preoperative evaluation of living liver donors by eliminating the requirement for invasive procedures like liver biopsy.

通过磁共振评估潜在活体肝脏捐献者的肝脏脂肪变性。
目的:确定磁共振成像-质子密度脂肪分数(MRI-PDFF)测量检测潜在活体肝脏捐献者肝脏脂肪含量的准确性,并将这些结果与肝脏活检结果进行比较:在2017年1月至2021年9月期间接受核磁共振成像检查的139名活体肝脏捐献者(男性/女性:83/56)被纳入本次回顾性分析。采用磁共振波谱(MRS)和基于化学位移的磁共振成像(CS-MRI)对每位捐献者的 PDFFs 进行了盲法测量:在肝脏脂肪变性检测方面,肝活检与 MRS-PDFF 和 CS-MRI PDFF 之间存在显著的正相关性[r = 0.701,95% 置信区间 (CI):0.604-0.798;r = 0.654,95% CI:0.544-0.765,P < 0.001]。在 42 名现有供体中,肝活检、核磁共振成像方法和振动控制瞬态弹性成像衰减参数之间存在微弱的相关性。根据接收器操作特征(ROC)分析,MRS-PDFF 和 CS-MRI PDFF 能显著区分组织病理学检测到的大于 5% 的肝脏脂肪变性,其 ROC 曲线下面积(AUC)分别为 0.837 ± 0.036(P < 0.001,95% CI:0.766-0.907)和 0.810 ± 0.036(P < 0.001,95% CI:0.739-0.881)。MRS-PDFF和CS-MRI PDFF的阴性预测值(NPV)分别为88.3%和81.3%。MRS-PDFF 和 CS-MRI 的 AUC 分别为 0.871 ± 0.034(P < 0.001 95% CI:0.804-0.937)和 0.855 ± 0.036(P < 0.001,95% CI:0.784-0.925),在区分临床上显著的肝脂肪变性(组织病理学≥10%)方面,MRS-PDFF 和 CS-MRI 的 AUC 分别为 0.871 ± 0.034(P < 0.001 95% CI:0.804-0.937)和 0.855 ± 0.036(P < 0.001 95% CI:0.784-0.925)。MRS-PDFF和CS-MRI的NPV分别为99%和92%:MRS-PDFF和CS-MRI PDFF方法为评估潜在活体肝脏捐献者的肝脏脂肪变性提供了一种无创、准确的方法。这些 MRI PDFF 技术省去了肝活检等侵入性程序,为活体肝脏捐献者的术前评估提供了有前景的临床优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Diagnostic and interventional radiology
Diagnostic and interventional radiology Medicine-Radiology, Nuclear Medicine and Imaging
自引率
4.80%
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0
期刊介绍: Diagnostic and Interventional Radiology (Diagn Interv Radiol) is the open access, online-only official publication of Turkish Society of Radiology. It is published bimonthly and the journal’s publication language is English. The journal is a medium for original articles, reviews, pictorial essays, technical notes related to all fields of diagnostic and interventional radiology.
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