کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8505058 1555215 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of a semi-automated computer algorithm for measuring total fat and visceral fat content in lambs undergoing in vivo whole body computed tomography
ترجمه فارسی عنوان
ارزیابی الگوریتم کامپیوتری نیمه اتوماتیک برای اندازه گیری چربی کل و محتوای چربی احشایی در بره های تحت توموگرافی کامپیوتری کامل بدن
کلمات کلیدی
گوشت بره، چربی بدن، تجزیه و تحلیل لاشه، توموگرافی کامپیوتری، الگوریتم کامپیوتری نیمه اتوماتیک،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
چکیده انگلیسی
Computed tomography (CT) is a suitable tool for measuring body fat, since it is non-destructive and can be used to differentiate metabolically active visceral fat from total body fat. Whole body analysis of body fat is likely to be more accurate than single CT slice estimates of body fat. The aim of this study was to assess the agreement between semi-automated computer analysis of whole body volumetric CT data and conventional proximate (chemical) analysis of body fat in lambs. Data were collected prospectively from 12 lambs that underwent duplicate whole body CT, followed by slaughter and carcass analysis by dissection and chemical analysis. Agreement between methods for quantification of total and visceral fat was assessed by Bland-Altman plot analysis. The repeatability of CT was assessed for these measures using the mean difference of duplicated measures. When compared to chemical analysis, CT systematically underestimated total and visceral fat contents by more than 10% of the mean fat weight. Therefore, carcass analysis and semi-automated CT computer measurements were not interchangeable for quantifying body fat content without the use of a correction factor. CT acquisition was repeatable, with a mean difference of repeated measures being close to zero. Therefore, uncorrected whole body CT might have an application for assessment of relative changes in fat content, especially in growing lambs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Veterinary Journal - Volume 228, October 2017, Pages 46-52
نویسندگان
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