Department of Radiology, Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
Br J Radiol. 2012 Jun;85(1014):e162-7. doi: 10.1259/bjr/22327146. Epub 2011 Mar 8.
The purpose of this prospective study was to evaluate the accuracy of in-phase and out-of-phase imaging to assess hepatic iron concentration in patients with haematological malignancies and chronic liver disease.
MRI-based hepatic iron concentration (M-HIC, μmol g(-1)) was used as a reference standard. 42 patients suspected of having iron overload and 12 control subjects underwent 1.5 T in- and out-of-phase and M-HIC liver imaging. Two methods, semi-quantitative visual grading made by two independent readers and quantitative relative signal intensity (rSI) grading from the signal intensity differences of in-phase and out-of-phase images, were used. Statistical analyses were performed using the Spearman and Kruskal-Wallis tests, receiver operator curves and κ coefficients.
The correlations between M-HIC and visual gradings of Reader 1 (r = 0.9534, p < 0.0001) and Reader 2 (r = 0.9456, p < 0.0001) were higher than the correlations of the rSI method (r = 0.7719, p < 0.0001). There was excellent agreement between the readers (weighted κ = 0.9619). Both visual grading and rSI were similar in detecting liver iron overload: rSI had 84.85% sensitivity and 100% specificity; visual grading had 85% sensitivity and 100% specificity. The differences between the grades of visual grading were significant (p < 0.0001) and the method was able to distinguish different degrees of iron overload at the threshold of 151 μmol g(-1) with 100% positive predictive value and negative predictive value.
Detection and grading of liver iron can be performed reliably with in-phase and out-of-phase imaging. Liver fat is a potential pitfall, which limits the use of rSI.
本前瞻性研究旨在评估同相位和反相位成像评估血液系统恶性肿瘤和慢性肝病患者肝铁浓度的准确性。
采用 MRI 肝铁浓度(M-HIC,μmol/g)作为参考标准。42 例疑似铁过载患者和 12 例对照者接受 1.5T 同相位和反相位及 M-HIC 肝成像。采用两种方法,由两位独立的读者进行半定量视觉分级,以及基于同相位和反相位图像信号强度差异的定量相对信号强度(rSI)分级。采用 Spearman 和 Kruskal-Wallis 检验、受试者工作特征曲线和κ系数进行统计分析。
M-HIC 与 Reader1 的视觉分级(r=0.9534,p<0.0001)和 Reader2 的视觉分级(r=0.9456,p<0.0001)的相关性均高于 rSI 方法(r=0.7719,p<0.0001)。读者之间具有极好的一致性(加权κ=0.9619)。视觉分级和 rSI 均能很好地检测肝铁过载:rSI 具有 84.85%的敏感性和 100%的特异性;视觉分级具有 85%的敏感性和 100%的特异性。视觉分级的分级差异具有统计学意义(p<0.0001),该方法能够以 100%的阳性预测值和阴性预测值区分 151μmol/g 阈值下不同程度的铁过载。
同相位和反相位成像能够可靠地进行肝铁检测和分级。肝脂肪是一个潜在的陷阱,限制了 rSI 的应用。