目的评价肝脏MR指纹图谱(MRF)定量定性和诊断肝脏局灶性病变的可行性。材料和方法这个单一的网站,前瞻性研究包括89名参与者(平均年龄,62岁±15[标准差];45名女性,44名男性)在2021年10月至2022年8月期间接受MRI检查的各种局灶性肝脏病变。参与者接受了常规的临床MRI检查,非对比增强肝脏MRF,和用1.5TMRI扫描仪参考定量MRI。使用线性回归评估MRF测量的偏差和可重复性,Bland-Altman阴谋,和变异系数。MRF衍生的T1,T2,T2*的诊断能力,质子密度脂肪分数(PDFF),并根据受试者工作特征曲线(AUC)下面积分析了区分良性和恶性病变的这些指标的组合。结果肝脏MRF测量显示与参考测量的中度到高度一致性(T1,T2,T2*的组内相关性=0.94,0.77,0.45和0.61,PDFF,分别),在低估T2值的情况下(病变的平均偏倚=-0.5%,-29%,5.8%,T1、T2、T2*为-8.2%,PDFF,分别)。T1、T2和T2*值的可重复性的中值变异系数为2.5%(IQR,3.6%),3.1%(IQR,5.6%),和6.6%(IQR,13.9%),分别。在考虑多重共线性后,MRF测量的组合显示,在鉴别良性和恶性病变方面具有较高的诊断效能(AUC=0.92[95%CI:0.86,0.98]).结论肝脏MRF能够在一次屏气采集中定量表征各种局灶性肝脏病变。关键词:磁共振成像,腹部/GI,肝脏,成像序列,技术方面,组织表征,技术评估,诊断,肝脏病变,MR指纹,定量表征补充材料可用于本文。©RSNA,2023年。
Purpose To evaluate the feasibility of liver MR fingerprinting (MRF) for quantitative characterization and diagnosis of focal liver lesions. Materials and Methods This single-site, prospective study included 89 participants (mean age, 62 years ± 15 [SD]; 45 women, 44 men) with various focal liver lesions who underwent MRI between October 2021 and August 2022. The participants underwent routine clinical MRI, non-contrast-enhanced liver MRF, and reference quantitative MRI with a 1.5-T MRI scanner. The bias and repeatability of the MRF measurements were assessed using linear regression, Bland-Altman plots, and coefficients of variation. The diagnostic capability of MRF-derived T1, T2, T2*, proton density fat fraction (PDFF), and a combination of these metrics to distinguish benign from malignant lesions was analyzed according to the area under the receiver operating characteristic curve (AUC). Results Liver MRF measurements showed moderate to high agreement with reference measurements (intraclass correlation = 0.94, 0.77, 0.45, and 0.61 for T1, T2, T2*, and PDFF, respectively), with underestimation of T2 values (mean bias in lesion = -0.5%, -29%, 5.8%, and -8.2% for T1, T2, T2*, and PDFF, respectively). The median coefficients of variation for repeatability of T1, T2, and T2* values were 2.5% (IQR, 3.6%), 3.1% (IQR, 5.6%), and 6.6% (IQR, 13.9%), respectively. After considering multicollinearity, a combination of MRF measurements showed a high diagnostic performance in differentiating benign from malignant lesions (AUC = 0.92 [95% CI: 0.86, 0.98]). Conclusion Liver MRF enabled the quantitative characterization of various focal liver lesions in a single breath-hold acquisition. Keywords: MR Imaging, Abdomen/GI, Liver, Imaging Sequences, Technical Aspects, Tissue Characterization, Technology Assessment, Diagnosis, Liver Lesions, MR Fingerprinting, Quantitative Characterization Supplemental material is available for this article. © RSNA, 2023.