Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hepatology. 2023 Oct 1;78(4):1200-1208. doi: 10.1097/HEP.0000000000000417. Epub 2023 May 1.
The presence of at-risk NASH is associated with an increased risk of cirrhosis and complications. Therefore, noninvasive identification of at-risk NASH with an accurate biomarker is a critical need for pharmacologic therapy. We aim to explore the performance of several magnetic resonance (MR)-based imaging parameters in diagnosing at-risk NASH.
This prospective clinical trial (NCT02565446) includes 104 paired MR examinations and liver biopsies performed in patients with suspected or diagnosed NAFLD. Magnetic resonance elastography-assessed liver stiffness (LS), 6-point Dixon-derived proton density fat fraction (PDFF), and single-point saturation-recovery acquisition-calculated T1 relaxation time were explored. Among all predictors, LS showed the significantly highest accuracy in diagnosing at-risk NASH [AUC LS : 0.89 (0.82, 0.95), AUC PDFF : 0.70 (0.58, 0.81), AUC T1 : 0.72 (0.61, 0.82), z -score test z >1.96 for LS vs any of others]. The optimal cutoff value of LS to identify at-risk NASH patients was 3.3 kPa (sensitivity: 79%, specificity: 82%, negative predictive value: 91%), whereas the optimal cutoff value of T1 was 850 ms (sensitivity: 75%, specificity: 63%, and negative predictive value: 87%). PDFF had the highest performance in diagnosing NASH with any fibrosis stage [AUC PDFF : 0.82 (0.72, 0.91), AUC LS : 0.73 (0.63, 0.84), AUC T1 : 0.72 (0.61, 0.83), |z| <1.96 for all].
Magnetic resonance elastography-assessed LS alone outperformed PDFF, and T1 in identifying patients with at-risk NASH for therapeutic trials.
存在风险的 NASH 与肝硬化和并发症的风险增加有关。因此,用准确的生物标志物无创识别风险 NASH 是药物治疗的关键需求。我们旨在探讨几种基于磁共振(MR)的成像参数在诊断风险 NASH 中的性能。
这项前瞻性临床试验(NCT02565446)纳入了 104 例疑似或诊断为 NAFLD 的患者进行的 104 对 MR 检查和肝活检。研究探索了磁共振弹性成像评估的肝硬度(LS)、6 点 Dixon 衍生质子密度脂肪分数(PDFF)和单点饱和恢复采集计算的 T1 弛豫时间。在所有预测因素中,LS 在诊断风险 NASH 方面显示出显著最高的准确性[LS 的 AUC:0.89(0.82,0.95),PDFF 的 AUC:0.70(0.58,0.81),T1 的 AUC:0.72(0.61,0.82),LS 与其他任何因素相比,z 分数检验 z>1.96]。LS 识别风险 NASH 患者的最佳截断值为 3.3kPa(敏感性:79%,特异性:82%,阴性预测值:91%),而 T1 的最佳截断值为 850ms(敏感性:75%,特异性:63%,阴性预测值:87%)。PDFF 在诊断任何纤维化阶段的 NASH 方面具有最高的性能[AUC PDFF:0.82(0.72,0.91),AUC LS:0.73(0.63,0.84),AUC T1:0.72(0.61,0.83),|z| <1.96 对于所有]。
单独使用磁共振弹性成像评估的 LS 在识别有治疗试验风险的 NASH 患者方面优于 PDFF 和 T1。