کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3983601 1257772 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Distribution of abdominal adipose tissue as a predictor of hepatic steatosis assessed by MRI
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
پیش نمایش صفحه اول مقاله
Distribution of abdominal adipose tissue as a predictor of hepatic steatosis assessed by MRI
چکیده انگلیسی

AimTo evaluate the relationship between the distribution of visceral and subcutaneous adipose tissue and hepatic steatosis assessed using magnetic resonance imaging (MRI).Materials and methodsOne T1-weighted, in-/out-of-phase, single-section sequence at the L3/L4 level and one multi-echo gradient MRI (MGRE) sequence were performed on 65 patients [19 females and 46 males; age 57 ± 9.5 years; body mass index (BMI) 31 ± 5.1 kg/m2]. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) surfaces, and hepatic steatosis were automatically calculated using in-house software. Weight, height, BMI, waist circumference, hip circumference, and waist:hip ratio were recorded. The probability of having a steatosis greater than 10% on MRI was evaluated by receiver operating characteristic (ROC) curves.ResultsThe anthropometric parameter best correlated to hepatic steatosis was the waist-to-hip ratio (r = 0.301). VAT and proportion of VAT were correlated to liver fat content (r = 0.307 and r = 0.249, respectively). No significant correlations were found for BMI, hip circumference, and SAT. The area under the receiver operating characteristics (AUROCs) for the relationship between liver steatosis and BMI, waist circumference, waist:hip ratio, VAT surface, and proportion of VAT, were respectively 0.52, 0.63, 0.71, 0.73 and 0.75.ConclusionAdipose tissue distribution is more relevant than total fat mass when assessing the possibility of liver steatosis in overweight patients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Clinical Radiology - Volume 65, Issue 9, September 2010, Pages 695–700
نویسندگان
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