ArticleBMC medical imaging2024
Liver shape analysis using statistical parametric maps at population scale.
Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 2 citations in OpenAlex.
- Protocol for volumetric quantification of intrahepatic triglyceride content in adults with obesity.STAR protocols · 2026Article
- Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes.npj aging · 2026Article
- Changes in abdominal subcutaneous adipose tissue thickness associate with disease and anthropometric factors.International journal of obesity (2005) · 2025Article
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7 authors at 1 institution in 1 country.
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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.
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