磁共振波谱法评估肝细胞内脂质含量

Salaar Khan, A. Bashir
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摘要

肝细胞内脂质(IHCL)的过度积累可导致成人慢性肝病最常见的一种形式,即非酒精性脂肪性肝病(NAFLD),它包括一系列肝脏疾病,包括肝脂肪变性,其晚期可导致肝硬化。已知许多疾病与IHCL滞留有关,包括但不限于肥胖和II型糖尿病。因此,量化IHCL对于早期诊断和监测有效治疗至关重要。本研究提出了一种非侵入性、稳健且可重复的方法,使用3特斯拉(3T)的单体素1H磁共振波谱(MRS)来定量IHCL含量。为了验证,构建并测试了已知脂肪组分(8%、14%、18%、25%、30%、40%、45%、55%)的花生油幻影。为了进行体内扫描,这项研究包括了15名肥胖志愿者。在三个不同的体素位置进行光谱分析,并在使用5次回波时间(24、30、35、40、50毫秒)完成T2校正后评估脂肪部分。花生油模型的结果与已知的脂肪分数值非常接近(脂肪分数值误差<10%)。体内研究采用T2校正以提高准确性,并通过考虑三个体素位置,对肝右叶IHCL含量的不均匀性提供了有价值的见解。总之,该研究证明了通过3T光谱定量肝脏脂肪含量的可靠和准确的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Intra-Hepatocellular Lipid Content using Magnetic Resonance Spectroscopy
Excessive accumulation of intra-hepatocellular lipid (IHCL) can lead to one of the most common forms of chronic liver diseases in adults, the non-alcoholic fatty liver disease (NAFLD) that comprises of a range of liver disorders including hepatic steatosis, an advanced stage of which can result in liver cirrhosis. Many diseases are known to be associated with the retention of IHCL including, but not limited to, obesity and type II diabetes. It is, thus, essential to quantify IHCL for early diagnosis and monitoring for an effective treatment. This study presents a non-invasive, robust and reproducible approach to quantify IHCL content using the single-voxel 1H magnetic resonance spectroscopy (MRS) at 3 Tesla (3T). For validation, peanut oil phantoms of known fat fractions (8%, 14%, 18%, 25%, 30%, 40%, 45%, 55%) were constructed and tested. For in vivo scans, the study included fifteen obese volunteers. Spectroscopy was performed at three different voxel locations and fat fractions were evaluated after T2 correction was done using five echo times (24, 30, 35, 40, 50 milliseconds). The results with the peanut oil phantoms were in close agreement with the known fat fraction values (<10% error on the fat fraction value). The in-vivo study used T2 correction for accuracy and provided valuable insight on nonuniformity in IHCL content in liver right lobe by taking three voxel locations into account. Altogether, the study demonstrated a reliable and accurate way to quantify liver fat content through spectroscopy at 3T.
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