Ankara University Faculty of Medicine, Department of Radiology, Ankara, Türkiye
Ankara University Faculty of Medicine, Department of Gastroenterology, Ankara, Türkiye
Diagn Interv Radiol. 2024 Nov 6;30(6):351-356. doi: 10.4274/dir.2024.242697. Epub 2024 May 13.
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.
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.
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, < 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 ( < 0.001, 95% CI: 0.766–0.907) and 0.810 ± 0.036 ( < 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 ( < 0.001 95% CI: 0.804–0.937) and 0.855 ± 0.036 ( < 0.001, 95% CI: 0.784–0.925), respectively. The NPVs of MRS-PDFF and CS-MRI were 99% and 92%, respectively.
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.
确定磁共振质子密度脂肪分数(MRI-PDFF)测量在潜在活体肝供体中检测肝脂肪含量的准确性,并比较这些结果与肝活检结果。
回顾性分析了 2017 年 1 月至 2021 年 9 月期间接受 MRI 的 139 名活体肝供体(男/女:83/56)。使用磁共振波谱(MRS)和化学位移基于 MRI(CS-MRI)在每个供体中以盲法测量 PDFF。
肝活检与 MRS-PDFF 和 CS-MRI PDFF 之间存在显著正相关,用于检测肝脂肪变性[r=0.701,95%置信区间(CI):0.604-0.798,r=0.654,95%CI:0.544-0.765, < 0.001]。在 42 名可供选择的供体中,肝活检、MRI 方法和振动控制瞬态弹性成像衰减参数之间存在弱水平相关性。基于接受者操作特征(ROC)分析,MRS-PDFF 和 CS-MRI PDFF 以 0.837±0.036( < 0.001,95%CI:0.766-0.907)和 0.810±0.036( < 0.001,95%CI:0.739-0.881)的曲线下面积(AUC)显著区分出组织病理学检测到的 >5%的肝脂肪变性。MRS-PDFF 和 CS-MRI PDFF 的阴性预测值(NPV)分别为 88.3%和 81.3%。就区分临床意义上的肝脂肪变性(组织病理学上≥10%)而言,MRS-PDFF 和 CS-MRI 的 AUC 分别为 0.871±0.034( < 0.001,95%CI:0.804-0.937)和 0.855±0.036( < 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供体候选者的肝脂肪变性提供了一种非侵入性和准确的方法。这些 MRI PDFF 技术通过消除肝活检等侵入性程序的需求,为活体肝供体的术前评估提供了有前途的临床优势。