Semiautomated Measure of Abdominal Adiposity Using Computed Tomography Scan Analysis
The obesity epidemic has prompted the need to better understand the impact of adipose tissue on human pathophysiology. However, accurate, efficient, and replicable models of quantifying adiposity have yet to be developed and clinically implemented. We propose a novel semiautomated radiologic method...
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Published in | The Journal of surgical research Vol. 237; pp. 12 - 21 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.05.2019
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Subjects | |
Online Access | Get full text |
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Summary: | The obesity epidemic has prompted the need to better understand the impact of adipose tissue on human pathophysiology. However, accurate, efficient, and replicable models of quantifying adiposity have yet to be developed and clinically implemented. We propose a novel semiautomated radiologic method of measuring the visceral fat area (VFA) using computed tomography scan analysis.
We obtained a cohort of 100 patients with rectal adenocarcinoma, with a median age of 60.9 y (age range: 35-87 y) and an average body mass index of 28.8 kg/m2 ± 6.56 kg/m2. The semiautomated quantification method of adiposity was developed using a commercial imaging suite. The method was compared to two manual delineations performed using two different picture archiving communication systems. We quantified VFA, subcutaneous fat area (SFA), total fat area (TFA), and visceral-to-subcutaneous fat ratio (V/S ratio) on computed tomography axial slices that were at the L4-L5 intervertebral level.
The semiautomated method was comparable to manual measurements for TFA, VFA, and SFA with intraclass correlation (ICC) of 0.99, 0.97, and 0.96, respectively. However, the ICC for the V/S ratio was only 0.44, which led to the identification of technical outliers that were identified using robust regression. After removal of these outliers, the ICC improved to 0.99 for TFA, VFA, and SFA and 0.97 for the V/S ratio. Measurements from the manual methodology highly correlated between the two picture archiving communication system platforms, with ICC of 0.98 for TFA, 0.98 for VFA, 0.96 for SFA, and 0.95 for the V/S ratio.
This semiautomated method is able to generate precise and reproducible results. In the future, this method may be applied on a larger scale to facilitate risk stratification of patients using measures of abdominal adiposity. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 Authors’ contributions: D.S. and E.S. contributed to conceptualization and study design; methodology; resources; writing, reviewing, and editing the manuscript; supervision; project administration; and fund acquisition. J.C.C., R.G., Y.G., Y.B., and T.S. contributed to the methodology of the study. R.G., Y.G., Y.B., and A.G. were responsible for software development. Y.A.C., J.-M.Z., and X.Z. performed formal statistical analysis and validation. Y.G., Y.B., T.S., A.G., W.C., D.S., and E.S. performed the investigation. R.G. was also responsible for resources. Y.G., Y.B., A.G., T.S., A.G., and W.C. contributed to data acquisition and curation. T.S. also contributed to writing the original draft. T.S., Y.G., Y.B., A.G., Y.A.C., J.-M.Z., X.Z., R.G., W.C., A.G., and J.C.C. also contributed to writing, reviewing, and editing the manuscript. Y.A.C., X.Z., and T.S. contributed to visualization. R.G. was also a part of the supervising responsibility. |
ISSN: | 0022-4804 1095-8673 |
DOI: | 10.1016/j.jss.2018.11.027 |