Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Wei, Chen, Jun, Gantz, Madeleine, Velasquez, Gilbert, Punyanitya, Mark, Heymsfield, Steven B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
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
_version_ 1782245677543194624
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
work_keys_str_mv AT shenwei asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT chenjun asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT gantzmadeleine asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT velasquezgilbert asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT punyanityamark asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT heymsfieldstevenb asinglemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT shenwei singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT chenjun singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT gantzmadeleine singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT velasquezgilbert singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT punyanityamark singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss
AT heymsfieldstevenb singlemrislicedoesnotaccuratelypredictvisceralandsubcutaneousadiposetissuechangesduringweightloss