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A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss
Previous cross-sectional studies found that a single magnetic resonance imaging (MRI) slice predicts total visceral and subcutaneous adipose tissue (VAT and SAT) volumes well. We sought to investigate the accuracy of trunk single slice imaging in estimating changes of total VAT and SAT volume in 123...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466347/ https://www.ncbi.nlm.nih.gov/pubmed/22728693 http://dx.doi.org/10.1038/oby.2012.168 |
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author | Shen, Wei Chen, Jun Gantz, Madeleine Velasquez, Gilbert Punyanitya, Mark Heymsfield, Steven B. |
author_facet | Shen, Wei Chen, Jun Gantz, Madeleine Velasquez, Gilbert Punyanitya, Mark Heymsfield, Steven B. |
author_sort | Shen, Wei |
collection | PubMed |
description | Previous cross-sectional studies found that a single magnetic resonance imaging (MRI) slice predicts total visceral and subcutaneous adipose tissue (VAT and SAT) volumes well. We sought to investigate the accuracy of trunk single slice imaging in estimating changes of total VAT and SAT volume in 123 overweight and obese subjects who were enrolled in a 24-week CB-1R inverse agonist clinical trial (weight change, −7.7±5.3 kg; SAT change, −5.4±4.9 L, VAT change, −0.8±1.0 L). VAT and SAT volumes at baseline and 24 weeks were derived from whole body MRI images. The VAT area 5–10 cm above L(4)–L(5) (A(+5–10)) (R(2)=0.59–0.70, P<0.001) best predicted changes in VAT volume but the strength of these correlations were significantly lower than those at baseline (R(2)=0.85–0.90, P<0.001). Furthermore, the L(4)–L(5) slice poorly predicted VAT volume changes (R(2)=0.24–0.29, P<0.001). Studies will require 44–69% more subjects if (A(+5–10)) is used and 243–320% more subjects if the L(4)–L(5) slice is used for equivalent power of multi slice total volume measurements of VAT changes. Similarly, single slice imaging predicts SAT loss less well than cross-sectional SAT (R(2)=0.31–0.49 vs. R(2)=0.52–0.68, p<0.05). Results stayed the same when examined in men and women separately. A single MRI slice 5–10 cm above L(4)–L(5) is more powerful than the traditionally used L(4)–L(5) slice in detecting VAT changes, but in general single slice imaging poorly predicts VAT and SAT changes during weight loss. For certain study designs, multi-slice imaging may be more cost effective than single slice imaging in detecting changes for VAT and SAT. |
format | Online Article Text |
id | pubmed-3466347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
spelling | pubmed-34663472013-06-01 A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss Shen, Wei Chen, Jun Gantz, Madeleine Velasquez, Gilbert Punyanitya, Mark Heymsfield, Steven B. Obesity (Silver Spring) Article Previous cross-sectional studies found that a single magnetic resonance imaging (MRI) slice predicts total visceral and subcutaneous adipose tissue (VAT and SAT) volumes well. We sought to investigate the accuracy of trunk single slice imaging in estimating changes of total VAT and SAT volume in 123 overweight and obese subjects who were enrolled in a 24-week CB-1R inverse agonist clinical trial (weight change, −7.7±5.3 kg; SAT change, −5.4±4.9 L, VAT change, −0.8±1.0 L). VAT and SAT volumes at baseline and 24 weeks were derived from whole body MRI images. The VAT area 5–10 cm above L(4)–L(5) (A(+5–10)) (R(2)=0.59–0.70, P<0.001) best predicted changes in VAT volume but the strength of these correlations were significantly lower than those at baseline (R(2)=0.85–0.90, P<0.001). Furthermore, the L(4)–L(5) slice poorly predicted VAT volume changes (R(2)=0.24–0.29, P<0.001). Studies will require 44–69% more subjects if (A(+5–10)) is used and 243–320% more subjects if the L(4)–L(5) slice is used for equivalent power of multi slice total volume measurements of VAT changes. Similarly, single slice imaging predicts SAT loss less well than cross-sectional SAT (R(2)=0.31–0.49 vs. R(2)=0.52–0.68, p<0.05). Results stayed the same when examined in men and women separately. A single MRI slice 5–10 cm above L(4)–L(5) is more powerful than the traditionally used L(4)–L(5) slice in detecting VAT changes, but in general single slice imaging poorly predicts VAT and SAT changes during weight loss. For certain study designs, multi-slice imaging may be more cost effective than single slice imaging in detecting changes for VAT and SAT. 2012-06-25 2012-12 /pmc/articles/PMC3466347/ /pubmed/22728693 http://dx.doi.org/10.1038/oby.2012.168 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Shen, Wei Chen, Jun Gantz, Madeleine Velasquez, Gilbert Punyanitya, Mark Heymsfield, Steven B. A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title | A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title_full | A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title_fullStr | A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title_full_unstemmed | A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title_short | A Single MRI Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss |
title_sort | single mri slice does not accurately predict visceral and subcutaneous adipose tissue changes during weight loss |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466347/ https://www.ncbi.nlm.nih.gov/pubmed/22728693 http://dx.doi.org/10.1038/oby.2012.168 |
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