Skip to main navigation Skip to search Skip to main content

Magnetic resonance imaging with k-means clustering objectively measures whole muscle volume compartments in sarcopenia/cancer cachexia

  • Calum Gray
  • , Thomas J MacGillivray
  • , Clare Eeley
  • , Nathan A Stephens
  • , Ian Beggs
  • , Kenneth C Fearon
  • , Carolyn A Greig

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Sarcopenia and cachexia are characterized by infiltration of non-contractile tissue within muscle which influences area and volume measurements. We applied a statistical clustering (k-means) technique to magnetic resonance (MR) images of the quadriceps of young and elderly healthy women and women with cancer to objectively separate the contractile and non-contractile tissue compartments.
Original languageEnglish
Pages (from-to)106-11
Number of pages6
JournalClinical Nutrition
Volume30
Issue number1
DOIs
Publication statusPublished - 2011

Bibliographical note

Copyright © 2010 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Magnetic resonance imaging with k-means clustering objectively measures whole muscle volume compartments in sarcopenia/cancer cachexia'. Together they form a unique fingerprint.

Cite this