uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Automated analysis of liver fat, muscle and adipose tissue distribution from CT suitable for large-scale studies.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Radiologi. Antaros Med, BioVenture Hub, Molndal, Sweden.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Radiologi. Antaros Med, BioVenture Hub, Molndal, Sweden.
Sahlgrens Univ Hosp, Dept Radiol, Gothenburg, Sweden.
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Radiologi.ORCID-id: 0000-0001-7764-1787
Vise andre og tillknytning
2017 (engelsk)Inngår i: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, artikkel-id 10425Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Computed Tomography (CT) allows detailed studies of body composition and its association with metabolic and cardiovascular disease. The purpose of this work was to develop and validate automated and manual image processing techniques for detailed and efficient analysis of body composition from CT data. The study comprised 107 subjects examined in the Swedish CArdioPulmonary BioImage Study (SCAPIS) using a 3-slice CT protocol covering liver, abdomen, and thighs. Algorithms were developed for automated assessment of liver attenuation, visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue, thigh muscles, subcutaneous, subfascial (SFAT) and intermuscular adipose tissue. These were validated using manual reference measurements. SFAT was studied in selected subjects were the fascia lata could be visually identified (approx. 5%). In addition, precision of manual measurements of intra- (IPAT) and retroperitoneal adipose tissue (RPAT) and deep- and superficial SAT was evaluated using repeated measurements. Automated measurements correlated strongly to manual reference measurements. The SFAT depot showed the weakest correlation (r = 0.744). Automated VAT and SAT measurements were slightly, but significantly overestimated (≤4.6%, p ≤ 0.001). Manual segmentation of abdominal sub-depots showed high repeatability (CV ≤ 8.1%, r ≥ 0.930). We conclude that the low dose CT-scanning and automated analysis makes the setup suitable for large-scale studies.

sted, utgiver, år, opplag, sider
2017. Vol. 7, artikkel-id 10425
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-329273DOI: 10.1038/s41598-017-08925-8ISI: 000409309300013PubMedID: 28874743OAI: oai:DiVA.org:uu-329273DiVA, id: diva2:1140267
Forskningsfinansiär
Swedish Research Council, 2012-2330Swedish Heart Lung FoundationVINNOVATilgjengelig fra: 2017-09-11 Laget: 2017-09-11 Sist oppdatert: 2017-12-06bibliografisk kontrollert

Open Access i DiVA

fulltext(2016 kB)44 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2016 kBChecksum SHA-512
2e557dbd9a213f0745510a6b7d34c3e12d2de2580bc0d0efc338f48299fe1ba34b3d0725f79ef303073b76d96968928c548683e1c0e473f2baf683ee6a37270f
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Kullberg, JoelHedström, AndersStrand, RobinJohansson, Lars EAhlström, Håkan

Søk i DiVA

Av forfatter/redaktør
Kullberg, JoelHedström, AndersStrand, RobinJohansson, Lars EAhlström, Håkan
Av organisasjonen
I samme tidsskrift
Scientific Reports

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 44 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 163 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf