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Test-retest reliabi...
Test-retest reliability of automated whole body and compartmental muscle volume measurements on a wide bore 3T MR system
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- Thomas, Marianna S (author)
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
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- Newman, David (author)
- Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
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- Dahlqvist Leinhard, Olof (author)
- Östergötlands Läns Landsting,Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet,Radiofysikavdelningen US
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- Karlsson, Anette (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinsk informatik,Tekniska högskolan
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- Rosander, Johannes (author)
- Advanced MR Analytics AB, Linköping, Sweden
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- Kasmai, Bahman (author)
- Department of Radiology Norfolk & Norwich University Hospital, United Kingdom
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- Greenwood, Richard (author)
- Department of Radiology Norfolk & Norwich University Hospital, United Kingdom
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- Malcolm, Paul N (author)
- Department of Radiology Norfolk & Norwich University Hospital, United Kingdom
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- Borga, Magnus (author)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinsk informatik,Tekniska högskolan
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- Toms, Andoni P (author)
- Department of Radiology Norfolk & Norwich University Hospital, United Kingdom
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Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK Centrum för medicinsk bildvetenskap och visualisering, CMIV (creator_code:org_t)
- 2014-05-29
- 2014
- English.
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In: European Radiology. - : Springer Berlin/Heidelberg. - 0938-7994 .- 1432-1084. ; 24:9, s. 2279-2291
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- PURPOSE:To measure the test-retest reproducibility of an automated system for quantifying whole body and compartmental muscle volumes using wide bore 3 T MRI.MATERIALS AND METHODS:Thirty volunteers stratified by body mass index underwent whole body 3 T MRI, two-point Dixon sequences, on two separate occasions. Water-fat separation was performed, with automated segmentation of whole body, torso, upper and lower leg volumes, and manually segmented lower leg muscle volumes.RESULTS:Mean automated total body muscle volume was 19·32 L (SD9·1) and 19·28 L (SD9·12) for first and second acquisitions (Intraclass correlation coefficient (ICC) = 1·0, 95 % level of agreement -0·32-0·2 L). ICC for all automated test-retest muscle volumes were almost perfect (0·99-1·0) with 95 % levels of agreement 1.8-6.6 % of mean volume. Automated muscle volume measurements correlate closely with manual quantification (right lower leg: manual 1·68 L (2SD0·6) compared to automated 1·64 L (2SD 0·6), left lower leg: manual 1·69 L (2SD 0·64) compared to automated 1·63 L (SD0·61), correlation coefficients for automated and manual segmentation were 0·94-0·96).CONCLUSION:Fully automated whole body and compartmental muscle volume quantification can be achieved rapidly on a 3 T wide bore system with very low margins of error, excellent test-retest reliability and excellent correlation to manual segmentation in the lower leg.KEY POINTS:• Sarcopaenia is an important reversible complication of a number of diseases. • Manual quantification of muscle volume is time-consuming and expensive. • Muscles can be imaged using in and out of phase MRI. • Automated atlas-based segmentation can identify muscle groups. • Automated muscle volume segmentation is reproducible and can replace manual measurements.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- Segmentation
- MRI
- Muscle
- Volume
- Reliablity
Publication and Content Type
- ref (subject category)
- art (subject category)
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