Quantification of Absolute Fat Mass by Magnetic Resonance Imaging: a Validation Study against Chemical Analysis.

Houchun H Hu, Yan Li, Tim R Nagy, Michael I Goran, Krishna S Nayak
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Abstract

OBJECTIVE: To develop a magnetic resonance imaging (MRI)-based approach for quantifying absolute fat mass in organs, muscles, and adipose tissues, and to validate its accuracy against reference chemical analysis (CA). METHODS: Chemical-shift imaging can accurately decompose water and fat signals from the acquired MRI data. A proton density fat fraction (PDFF) can be computed from the separated images, and reflects the relative fat content on a voxel-by-voxel basis. The PDFF is mathematically closely related to the fat mass fraction and can be converted to absolute fat mass in grams by multiplying by the voxel volume and the mass density of fat. In this validation study, 97 freshly excised and unique samples from four pigs, comprising of organs, muscles, and adipose and lean tissues were imaged by MRI and then analyzed independently by CA. Linear regression was used to assess correlation, agreement, and measurement differences between MRI and CA. RESULTS: Considering all 97 samples, a strong correlation and agreement was obtained between MRI and CA-derived fat mass (slope = 1.01, intercept = 1.99g, r(2) = 0.98, p < 0.01). The mean difference d between MRI and CA was 2.17±3.40g. MRI did not exhibit any tendency to under or overestimate CA (p > 0.05). When considering samples from each pig separately, the results were (slope = 1.05, intercept = 1.11g, r(2) = 0.98, d = 2.66±4.36g), (slope = 0.99, intercept = 2.33g, r(2) = 0.99, d = 1.88±2.68g), (slope = 1.07, intercept = 1.52g, r(2) = 0.96, d = 2.73±2.50g), and (slope=0.92, intercept=2.84g, r(2) = 0.97, d = 1.18±3.90g), respectively. CONCLUSION: Chemical-shift MRI and PDFF provides an accurate means of determining absolute fat mass in organs, muscles, and adipose and lean tissues.

磁共振成像定量绝对脂肪质量:对化学分析的验证研究。
目的:建立一种基于磁共振成像(MRI)的方法来定量器官、肌肉和脂肪组织的绝对脂肪量,并验证其与参考化学分析(CA)的准确性。方法:化学移位成像能准确地从采集的MRI数据中分解水和脂肪信号。质子密度脂肪分数(PDFF)可以从分离的图像中计算出来,并以体素为单位反映相对脂肪含量。PDFF在数学上与脂肪质量分数密切相关,可以通过乘以体素体积和脂肪的质量密度来转换成以克为单位的绝对脂肪质量。在这项验证性研究中,对来自4头猪的97个新鲜切除的独特样本(包括器官、肌肉、脂肪和瘦肉组织)进行MRI成像,然后通过CA独立分析。使用线性回归来评估MRI和CA之间的相关性、一致性和测量差异。结果:考虑所有97个样本,MRI和CA衍生的脂肪量之间具有很强的相关性和一致性(斜率= 1.01,截距= 1.99g, r(2) = 0.98, p < 0.01)。MRI与CA的平均差值为2.17±3.40g。MRI未显示CA有过低或过高的倾向(p > 0.05)。分别对每头猪样本进行分析,结果分别为(斜率= 1.05,截距= 1.11g, r(2) = 0.98, d = 2.66±4.36g)、(斜率= 0.99,截距= 2.33g, r(2) = 0.99, d = 1.88±2.68g)、(斜率= 1.07,截距= 1.52g, r(2) = 0.96, d = 2.73±2.50g)和(斜率=0.92,截距=2.84g, r(2) = 0.97, d = 1.18±3.90g)。结论:化学位移MRI和PDFF提供了一种准确的方法来确定器官、肌肉、脂肪和瘦肉组织的绝对脂肪量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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