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
Test–retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects
Department of Radiology, Norfolk & Norwich University Hospital, UK.
Department of Radiology, Norfolk & Norwich University Hospital, UK.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics. (Advanced MR Analytics AB)
Department of Radiology, Norfolk & Norwich University Hospital, UK.
Show others and affiliations
2016 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 44, no 6, 1464-1473 p.Article in journal (Refereed) Published
Abstract [en]

Purpose

To measure the test–retest reliability of rapid (<15 min) whole body and visceral fat volume quantification in normal and obese subjects on a widebore 3T MR system and compare it with conventional manual segmentation.

Materials and Methods

Thirty participants (body mass index [BMI] 20.1–48.6 kg/m2) underwent two whole-body magnetic resonance imaging (MRI) examinations on a widebore 3T machine using a 2-point Dixon technique. Phase sensitive reconstruction and intensity inhomogeneity correction produced quantitative datasets of total adipose tissue (TAT), abdominal subcutaneous adipose tissue (ASAT), and visceral adipose tissue (VAT). The quantification was performed automatically using nonrigid atlas-based segmentation and compared with manual segmentation (SliceOmatic).

Results

The mean TAT was 31.74 L with a coefficient of variation (CV) of 0.79% and a coefficient of repeatability (CR) of 0.49 L. The ASAT was 7.92 L with a CV of 2.98% and a CR of 0.46 L. There was no significant difference in the semiautomated and manually segmented VAT (P = 0.73) but there were differences in the reliability of the two techniques. The mean semiautomated VAT was 2.56 L, CV 1.8%, and CR 0.09 L compared to the mean manually segmented VAT of 3.12 L, where the CV was 6.3% and the CR was 0.39 L.

Conclusion

Rapid semiautomated whole body and compartmental fat volume quantification can be derived from a widebore 3T system, for a range of body sizes including obese patients, with “almost perfect” test–retest reliability.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2016. Vol. 44, no 6, 1464-1473 p.
Keyword [en]
semiautomated quantification; manual segmentation; MRI; adipose; visceral adipose; reliability
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-128881DOI: 10.1002/jmri.25326ISI: 000387859600010PubMedID: 27249363OAI: oai:DiVA.org:liu-128881DiVA: diva2:933407
Available from: 2016-06-04 Created: 2016-06-04 Last updated: 2016-12-12

Open Access in DiVA

fulltext(886 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 886 kBChecksum SHA-512
f97e8c1ff3dc17c927cf0a23b5fb3c359bb83c19f3152e7d1cfb6d401e5b5de0363b7a2dacb3f2dfd2977c6a209e2c885cec52cbf6e59447356438342683d6d8
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Dahlqvist Leinhard, OlofRomu, ThobiasBorga, Magnus
By organisation
Division of Radiological SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiation PhysicsMedical InformaticsFaculty of Science & Engineering
In the same journal
Journal of Magnetic Resonance Imaging
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 112 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