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Related Experiment Video

Updated: Jul 6, 2025

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish

Analysis of Liver Microenvironment During Early Progression of Non-Alcoholic Fatty Liver Disease-Associated Hepatocellular Carcinoma in Zebrafish

Published on: April 1, 2021

Liver shape analysis using statistical parametric maps at population scale.

Marjola Thanaj¹, Nicolas Basty², Madeleine Cule³

¹Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, UK. m.thanaj@westminster.ac.uk.

BMC Medical Imaging

|January 9, 2024

Summary

This summary is machine-generated.

Liver shape and size are linked to health conditions like type-2 diabetes and liver disease. Morphometric analysis of MRI scans reveals how these factors influence liver morphology, aiding disease categorization.

Keywords:

3D mesh-derived phenotype Image analysis Liver volume Magnetic resonance imaging Statistical Parametric maps Surface mesh Type-2 Diabetes

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Area of Science:

Medical Imaging
Biomedical Engineering
Radiology

Background:

Morphometric image analysis quantifies organ shape and size variations.
Understanding organ morphology is crucial for diagnosing and managing diseases.

Purpose of the Study:

To apply morphometric methods to study liver shape and size variations.
To investigate associations between liver morphology and anthropometric, phenotypic, and clinical factors.
To explore the impact of type-2 diabetes and liver disease on liver shape.

Main Methods:

Utilized surface mesh construction from liver segmentations in abdominal MRI scans.
Analyzed 3D mesh vertices to evaluate local shape variations.
Modeled associations between liver shape and various health indicators in 33,434 UK Biobank participants.

Main Results:

Significant associations found between liver shape/size and age, BMI, hepatic fat/iron, and health traits.
Type-2 diabetes accelerates age-related liver shape changes.
Liver fat exacerbates shape variations in type-2 diabetes and liver disease.

Conclusions:

Novel morphometric approach offers benefits for categorizing pathologies.
This method can enhance understanding of acute and chronic clinical conditions affecting the liver.
Liver shape analysis provides valuable insights into disease progression and risk factors.