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采用多步自适应拟合磁共振成像方法对肝脂肪变性进行定量分析:与磁共振波谱法的前瞻性验证

Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.

作者信息

Bashir Mustafa R, Zhong Xiaodong, Nickel Marcel D, Fananapazir Ghaneh, Kannengiesser Stephan A R, Kiefer Berthold, Dale Brian M

机构信息

1 Department of Radiology, Duke University Medical Center, DUMC Box 3808, Durham, NC 27710.

出版信息

AJR Am J Roentgenol. 2015 Feb;204(2):297-306. doi: 10.2214/AJR.14.12457.

DOI:10.2214/AJR.14.12457
PMID:25615751
Abstract

OBJECTIVE. The purpose of this study is to prospectively compare hybrid and complex chemical shift-based MRI fat quantification methods against MR spectroscopy (MRS) for the measurement of hepatic steatosis. SUBJECTS AND METHODS. Forty-two subjects (18 men and 24 women; mean ± SD age, 52.8 ± 14 years) were prospectively enrolled and imaged at 3 T with a chemical shift-based MRI sequence and a single-voxel MRS sequence, each in one breath-hold. Proton density fat fraction and rate constant (R2*) using both single- and dual-R2* hybrid fitting methods, as well as proton density fat fraction and R2* maps using a complex fitting method, were generated. A single radiologist colocalized volumes of interest on the proton density fat fraction and R2* maps according to the spectroscopy measurement voxel. Agreement among the three MRI methods and the MRS proton density fat fraction values was assessed using linear regression, intraclass correlation coefficient (ICC), and Bland-Altman analysis. RESULTS. Correlation between the MRI and MRS measures of proton density fat fraction was excellent. Linear regression coefficients ranged from 0.98 to 1.01, and intercepts ranged from -1.12% to 0.49%. Agreement measured by ICC was also excellent (0.99 for all three methods). Bland-Altman analysis showed excellent agreement, with mean differences of -1.0% to 0.6% (SD, 1.3-1.6%). CONCLUSION. The described MRI-based liver proton density fat fraction measures are clinically feasible and accurate. The validation of proton density fat fraction quantification methods is an important step toward wide availability and acceptance of the MRI-based measurement of proton density fat fraction as an accurate and generalizable biomarker.

摘要

目的。本研究的目的是前瞻性地比较基于混合和复杂化学位移的MRI脂肪定量方法与磁共振波谱(MRS)用于测量肝脂肪变性。

受试者和方法。前瞻性纳入42名受试者(18名男性和24名女性;平均±标准差年龄,52.8±14岁),在3T下使用基于化学位移的MRI序列和单像素MRS序列进行成像,每次均在一次屏气中完成。使用单R2和双R2混合拟合方法生成质子密度脂肪分数和速率常数(R2*),以及使用复杂拟合方法生成质子密度脂肪分数和R2图。一名放射科医生根据波谱测量体素在质子密度脂肪分数和R2图上共同定位感兴趣体积。使用线性回归、组内相关系数(ICC)和Bland-Altman分析评估三种MRI方法与MRS质子密度脂肪分数值之间的一致性。

结果。MRI与MRS测量的质子密度脂肪分数之间的相关性极佳。线性回归系数范围为0.98至1.01,截距范围为-1.12%至0.49%。通过ICC测量的一致性也极佳(所有三种方法均为0.99)。Bland-Altman分析显示一致性极佳,平均差异为-1.0%至0.6%(标准差,1.3 - 1.6%)。

结论。所描述的基于MRI的肝脏质子密度脂肪分数测量在临床上是可行且准确的。质子密度脂肪分数定量方法的验证是使基于MRI的质子密度脂肪分数测量作为一种准确且可推广的生物标志物得到广泛应用和认可的重要一步。

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