Imperial College London
Alternate

ProfessorJimmyBell

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Visiting Professor
 
 
 
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Contact

 

+44 (0)20 3506 4608jimmy.bell Website

 
 
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Location

 

Hammersmith HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Thanaj:2022:10.1101/2022.08.18.22278951,
author = {Thanaj, M and Basty, N and Cule, M and Sorokin, EP and Whitcher, B and Bell, JD and Thomas, EL},
doi = {10.1101/2022.08.18.22278951},
title = {Liver Shape Analysis using Statistical Parametric Maps at Population Scale},
url = {http://dx.doi.org/10.1101/2022.08.18.22278951},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Morphometric image analysis enables the quantification of differences in the shape and size of organs between individuals.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Here we have applied morphometric methods to the study of the liver by constructing surface meshes from liver segmentations from abdominal MRI images in 33,434 participants in the UK Biobank. Based on these three dimensional mesh vertices, we evaluated local shape variations and modelled their association with anthropometric, phenotypic and clinical conditions, including liver disease and type-2 diabetes.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>We found that age, body mass index, hepatic fat and iron content, as well as, health traits were significantly associated with regional liver shape and size. Interaction models in groups with specific clinical conditions showed that the presence of type-2 diabetes accelerates age-related changes in the liver, while presence of liver fat further increased shape variations in both type-2 diabetes and liver disease.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The results suggest that this novel approach may greatly benefit studies aiming at better categorisation of pathologies associated with acute and chronic clinical conditions.</jats:p></jats:sec>
AU  - Thanaj,M
AU  - Basty,N
AU  - Cule,M
AU  - Sorokin,EP
AU  - Whitcher,B
AU  - Bell,JD
AU  - Thomas,EL
DO  - 10.1101/2022.08.18.22278951
PY  - 2022///
TI  - Liver Shape Analysis using Statistical Parametric Maps at Population Scale
UR  - http://dx.doi.org/10.1101/2022.08.18.22278951
ER  -
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