| Title: | Liver shape analysis using statistical parametric maps at population scale |
| Journal: | BMC Medical Imaging |
| Published: | 9 Jan 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38195400/ |
| DOI: | https://doi.org/10.1186/s12880-023-01149-5 |
| URL: | https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-023-01149-5 |
Publication 8974
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Abstract
BackgroundMorphometric image analysis enables the quantification of differences in the shape and size of organs between individuals.MethodsHere 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.ResultsWe 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.ConclusionsThe results suggest that this novel approach may greatly benefit studies aiming at better categorisation of pathologies associated with acute and chronic clinical conditions.</p>
7 Authors
- Marjola Thanaj
- Nicolas Basty
- Madeleine Cule
- Elena P. Sorokin
- Brandon Whitcher
- Jimmy D. Bell
- E. Louise Thomas
1 Application
| Application ID | Title |
|---|---|
| 44584 | Enriched Image Based Phenotypes for Health Exploration and Discovery |
Enabling scientific discoveries that improve human health