2022
DOI: 10.3389/fendo.2022.870552
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The Optimal Axial Anatomical Site for a Single-Slice Area to Quantify the Total Volume of Visceral Adipose Tissue in Quantitative CT

Abstract: PurposeDetermine the association between cross-sectional visceral adipose tissue (VAT) area of different anatomic locations and total abdominopelvic VAT volume; identify the optimal measurement site in a single-slice to quantify the total VAT volume.MethodParticipants who underwent non-contrast abdominal scan by quantitative CT (QCT) were enrolled from May 2021 to October 2021. The VAT area (cm2) at different anatomic sites as upper-pole, lower-pole, and hilum of the kidney, intervertebral disc of L2/L3 and L5… Show more

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Cited by 2 publications
(2 citation statements)
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“…If these capabilities were operationalized, radiologists could more cogently protocol patients based upon their estimated VA. An alternative to this would be to estimate the VA using a single slice through the abdomen. Several investigations have shown that one single slice can reasonably estimate the VA in patients, though there are varying opinions on which anatomic site for VA estimation is the most accurate in both the literature 25 , 26 and among our internal physicians and physicists.…”
Section: Discussionmentioning
confidence: 99%
“…If these capabilities were operationalized, radiologists could more cogently protocol patients based upon their estimated VA. An alternative to this would be to estimate the VA using a single slice through the abdomen. Several investigations have shown that one single slice can reasonably estimate the VA in patients, though there are varying opinions on which anatomic site for VA estimation is the most accurate in both the literature 25 , 26 and among our internal physicians and physicists.…”
Section: Discussionmentioning
confidence: 99%
“…Due to their ease of use and ability to reduce radiation exposure in CT scans, techniques relying on the acquisition of a single slice are increasingly frequent used to quantify adiposity in the abdomen. [5,11,12].…”
Section: Introductionmentioning
confidence: 99%