Comparison of R2* correction methods for accurate fat quantification in fatty liver.
Comparison of R2* correction methods for accurate fat quantification in fatty liver.
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DOI：
10.1002/jmri.23835
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发表时间：
2013-02
影响因子：
4.4
通讯作者：
Reeder, Scott B.
中科院分区：
文献类型：
--
作者：
Horng, Debra E.;Hernando, Diego;Hines, Catherine D. G.;Reeder, Scott B.
关键词：
以磁共振波谱(MRS)为参考标准，比较脂肪肝单校正法和双校正法脂肪分数定量的表现。在一组97名患者中，32名患者的肝脏脂肪含量超过5%，根据MRS的测量结果。在这些患者中，进行了化学位移编码的脂肪水成像，在一次屏气中覆盖了整个肝脏。采用6种不同的校正模型对图像数据进行后处理，分别采用复数拟合法、幅度拟合法和混合幅度/复数拟合法，比较相位误差校正的效果。使用线性回归将脂肪含量测量结果与共同登记的光谱测量结果进行比较。线性回归显示，与双重校正相比，单校正与MRS的符合率更高。在单一模型中，3种拟合方法的表现相似(斜率=1.0±0.06，R2=0.89~0.91)。对于患者的肝脏脂肪定量，单模型比双模型更准确，即使在那些肝脏脂肪浓度高的患者中也是如此。
To compare the performance of fat fraction quantification using single- and dual- correction methods in patients with fatty liver, using MR spectroscopy (MRS) as the reference standard. From a group of 97 patients, 32 patients with hepatic fat fraction greater than 5%, as measured by MRS, were identified. In these patients, chemical shift encoded fat-water imaging was performed, covering the entire liver in a single breath-hold. Fat fraction was measured from the imaging data by post-processing using 6 different models: single- and dual- correction, each performed with complex fitting, magnitude fitting and mixed magnitude/complex fitting to compare the effects of phase error correction. Fat fraction measurements were compared to co-registered spectroscopy measurements using linear regression. Linear regression demonstrated higher agreement with MRS using single- correction compared with dual- correction. Among single- models, all 3 fittings methods performed similarly well (slope = 1.0 ± 0.06, r2=0.89–0.91). Single- modeling is more accurate than dual- modeling for hepatic fat quantification in patients, even in those with high hepatic fat concentrations.
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影响因子：
120.7
作者：
Flegal, Katherine M.;Carroll, Margaret D.;Curtin, Lester R.
通讯作者：
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影响因子：
3.3
作者：
Hernando, Diego;Liang, Zhi-Pei;Kellman, Peter
通讯作者：
Kellman, Peter
影响因子：
3.3
作者：
Hernando, D.;Hines, C. D. G.;Yu, H.;Reeder, S. B.
通讯作者：
Reeder, S. B.
影响因子：
3.3
作者：
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通讯作者：
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影响因子：
19.7
作者：
Hines, Catherine D. G.;Yu, Huanzhou;Reeder, Scott B.
通讯作者：
Reeder, Scott B.