Yokoo Takeshi, Bydder Mark, Hamilton Gavin, Middleton Michael S, Gamst Anthony C, Wolfson Tanya, Hassanein Tarek, Patton Heather M, Lavine Joel E, Schwimmer Jeffrey B, Sirlin Claude B
Department of Radiology, University of California, San Diego Medical Center, University of California at San Diego, MR3 Laboratory, 408 Dickinson St, San Diego, CA 92103-8226, USA.
Radiology. 2009 Apr;251(1):67-76. doi: 10.1148/radiol.2511080666. Epub 2009 Feb 12.
To assess the accuracy of four fat quantification methods at low-flip-angle multiecho gradient-recalled-echo (GRE) magnetic resonance (MR) imaging in nonalcoholic fatty liver disease (NAFLD) by using MR spectroscopy as the reference standard.
In this institutional review board-approved, HIPAA-compliant prospective study, 110 subjects (29 with biopsy-confirmed NAFLD, 50 overweight and at risk for NAFLD, and 31 healthy volunteers) (mean age, 32.6 years +/- 15.6 [standard deviation]; range, 8-66 years) gave informed consent and underwent MR spectroscopy and GRE MR imaging of the liver. Spectroscopy involved a long repetition time (to suppress T1 effects) and multiple echo times (to estimate T2 effects); the reference fat fraction (FF) was calculated from T2-corrected fat and water spectral peak areas. Imaging involved a low flip angle (to suppress T1 effects) and multiple echo times (to estimate T2* effects); imaging FF was calculated by using four analysis methods of progressive complexity: dual echo, triple echo, multiecho, and multiinterference. All methods except dual echo corrected for T2* effects. The multiinterference method corrected for multiple spectral interference effects of fat. For each method, the accuracy for diagnosis of fatty liver, as defined with a spectroscopic threshold, was assessed by estimating sensitivity and specificity; fat-grading accuracy was assessed by comparing imaging and spectroscopic FF values by using linear regression.
Dual-echo, triple-echo, multiecho, and multiinterference methods had a sensitivity of 0.817, 0.967, 0.950, and 0.983 and a specificity of 1.000, 0.880, 1.000, and 0.880, respectively. On the basis of regression slope and intercept, the multiinterference (slope, 0.98; intercept, 0.91%) method had high fat-grading accuracy without statistically significant error (P > .05). Dual-echo (slope, 0.98; intercept, -2.90%), triple-echo (slope, 0.94; intercept, 1.42%), and multiecho (slope, 0.85; intercept, -0.15%) methods had statistically significant error (P < .05).
Relaxation- and interference-corrected fat quantification at low-flip-angle multiecho GRE MR imaging provides high diagnostic and fat-grading accuracy in NAFLD.
以磁共振波谱(MR spectroscopy)作为参考标准,评估在非酒精性脂肪性肝病(NAFLD)的低翻转角多回波梯度回波(GRE)磁共振(MR)成像中四种脂肪定量方法的准确性。
在这项经机构审查委员会批准且符合健康保险流通与责任法案(HIPAA)的前瞻性研究中,110名受试者(29名经活检证实患有NAFLD,50名超重且有患NAFLD风险,31名健康志愿者)(平均年龄32.6岁±15.6[标准差];范围8 - 66岁)签署知情同意书后接受了肝脏的MR波谱和GRE MR成像检查。波谱检查采用长重复时间(以抑制T1效应)和多个回波时间(以估计T2效应);参考脂肪分数(FF)由经T2校正的脂肪和水的光谱峰面积计算得出。成像检查采用低翻转角(以抑制T1效应)和多个回波时间(以估计T2效应);成像FF通过使用四种复杂度逐渐增加的分析方法计算得出:双回波、三回波、多回波和多干扰。除双回波外的所有方法都对T2效应进行了校正。多干扰方法对脂肪的多个光谱干扰效应进行了校正。对于每种方法,通过估计敏感性和特异性来评估诊断脂肪肝的准确性(以波谱阈值定义);通过使用线性回归比较成像和波谱FF值来评估脂肪分级准确性。
双回波、三回波、多回波和多干扰方法的敏感性分别为0.817、0.967、0.950和0.983,特异性分别为1.000、0.880、1.000和0.880。基于回归斜率和截距,多干扰(斜率0.98;截距0.91%)方法具有较高的脂肪分级准确性,且无统计学显著误差(P > 0.05)。双回波(斜率0.98;截距 - 2.90%)、三回波(斜率0.94;截距1.42%)和多回波(斜率0.85;截距 - 0.15%)方法存在统计学显著误差(P < 0.05)。
在低翻转角多回波GRE MR成像中进行弛豫和干扰校正的脂肪定量在NAFLD中具有较高的诊断和脂肪分级准确性。