liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Relationships between MRI-determined Pancreatic Fat and Metabolic Co-morbidities
Linköping University, Department of Clinical and Experimental Medicine.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Background: Pancreatic fat is believed to be associated with an increased risk to develop type 2 Diabetes, fatty liver disease and cardiovascular disease, but the clinical effects of pancreatic fat accumulation are poorly understood. Magnetic resonance imaging can be used to quantify fat in different body compartments to gain understanding of metabolic risk associations.

Objectives: The aim of this study was to investigate if pancreatic fat can be used as a biomarker for metabolic co-morbidities such as type 2 Diabetes and coronary heart disease as well as metabolic health.

Method: This study included images from the first 4 5 2 3 participants scanned by UK Biobank. Pancreatic fat was measured in three regions of interest of varying size that were placed on the head, body and tail of the pancreas. Associations between pancreatic fat and metabolic status were determined using multivariate statistical modelling.

Results: Multivariate linear regression models showed that visceral adipose tissue is the strongest predictor for pancreatic fat (p < 0.01). Multivariate logistic regression analyses showed unique associations between pancreatic fat and type 2 Diabetes, coronary heart disease and absence of metabolic health (p < 0.01). These associations could not be described by sex, age, lifestyle factors, medications, other fat compartments or BMI.

Conclusion: MRI determined pancreatic fat has the potential to be used as a biomarker for metabolic co - morbidities such as type 2 Diabetes and coronary heart disease as well as metabolic health.

Place, publisher, year, edition, pages
2018. , p. 17
Keywords [en]
Magnetic resonance imaging, fat quantification, pancreas, type 2 Diabetes, c oronary heart disease, metabolic health
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-152288OAI: oai:DiVA.org:liu-152288DiVA, id: diva2:1259160
Subject / course
Masters programme in Medical Biosciences, Degree Project
Available from: 2019-11-21 Created: 2018-10-28 Last updated: 2019-11-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
Department of Clinical and Experimental Medicine
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 10 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf