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

doi:10.1016/j.clnu.2010.07.012

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

Sport, Exercise and Rehabilitation Sciences

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	106-11
Number of pages	6
Journal	Clinical Nutrition
Volume	30
Issue number	1
DOIs	https://doi.org/10.1016/j.clnu.2010.07.012
Publication status	Published - 2011

Bibliographical note

UN SDGs

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

Access to Document

10.1016/j.clnu.2010.07.012

Cite this

@article{d92d7f92dbf24d4bb87bfad121d80262,

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

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.",

author = "Calum Gray and MacGillivray, {Thomas J} and Clare Eeley and Stephens, {Nathan A} and Ian Beggs and Fearon, {Kenneth C} and Greig, {Carolyn A}",

year = "2011",

doi = "10.1016/j.clnu.2010.07.012",

language = "English",

volume = "30",

pages = "106--11",

journal = "Clinical Nutrition",

issn = "1532-1983",

publisher = "Elsevier",

number = "1",

}

TY - JOUR

T1 - Magnetic resonance imaging with k-means clustering objectively measures whole muscle volume compartments in sarcopenia/cancer cachexia

AU - Gray, Calum

AU - MacGillivray, Thomas J

AU - Eeley, Clare

AU - Stephens, Nathan A

AU - Beggs, Ian

AU - Fearon, Kenneth C

AU - Greig, Carolyn A

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

U2 - 10.1016/j.clnu.2010.07.012

DO - 10.1016/j.clnu.2010.07.012

M3 - Article

C2 - 20727625

SN - 1532-1983

VL - 30

SP - 106

EP - 111

JO - Clinical Nutrition

JF - Clinical Nutrition

IS - 1

ER -

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

Abstract

Bibliographical note

UN SDGs

Access to Document

Fingerprint

Cite this