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Quantifying Abdomin...
Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction : Repeatability and Accuracy of an MR Imaging–based, Semiautomated Analysis Method
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- Middleton, Michael (författare)
- Department of Radiology, University of California, San Diego, CA, USA
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- Haufe, William (författare)
- Department of Radiology, University of California, San Diego, CA, USA
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- Hooker, Jonathan (författare)
- Department of Radiology, University of California, San Diego, CA, USA
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- Borga, Magnus (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinsk informatik,Tekniska högskolan
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- Dahlqvist Leinhard, Olof, 1978- (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Region Östergötland, Radiofysikavdelningen US
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- Romu, Thobias (författare)
- Linköpings universitet,Medicinsk informatik,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
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- Tunón, Patrik (författare)
- Advanced MR Analytics AB, Linköping
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- Hamilton, Gavin (författare)
- Department of Radiology, University of California, San Diego, CA
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- Wolfson, Tanya (författare)
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, CA
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- Gamst, Anthony (författare)
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputing Center (SDSC), University of California, San Diego, CA
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- Loomba, Rohit (författare)
- Department of Medicine (Division of Gastroenterology and Hepatology), University of California, San Diego, CA
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- Sirlin, Claude (författare)
- Department of Radiology, University of California, San Diego, CA
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(creator_code:org_t)
- Radiological Society of North America, Inc. 2017
- 2017
- Engelska.
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Ingår i: Radiology. - : Radiological Society of North America, Inc.. - 0033-8419 .- 1527-1315. ; 283:2, s. 438-449
- Relaterad länk:
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https://europepmc.or...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- PurposeThe purpose of this study was to determine the repeatability and accuracy of an commercially available (Advanced MR Analytics [AMRA®]; Linköping, Sweden) magnetic resonance imaging (MRI)-based, semi-automated method to quantify abdominal adipose tissue and thigh muscle volume as well as hepatic proton density fat fraction (PDFF)Materials and MethodsThis prospective study was approved by an institutional review board (IRB) and was Health Insurance Portability and Accountability Act (HIPAA) compliant. All subjects provided written informed consent. Inclusion criteria were age ≥ 18 years, and willingness to participate. Exclusion criteria were contraindication to MRI. Three-dimensional, T1-weighted, dual-echo body-coil images were acquired from base of skull to knees at 3T, twice before and once after taking subjects off the scanner table (total of three acquisitions). Source images were reconstructed offline to generate water, and calibrated fat images where pure adipose tissue has unit value and absence of adipose tissue has zero value. Abdominal adipose tissues and thigh muscles were segmented, and their volumes estimated using AMRA a semi-automated analysis method and, as a reference standard, manually. Hepatic PDFF was estimated using a confounder-corrected chemical-shift encoded MRI method with hybrid complex-magnitude reconstruction., and, as a reference standard, with magnetic resonance spectroscopy (MRS). Tissue volume and hepatic PDFF intra- and inter-examination repeatability was assessed by intraclass correlation (ICC) and coefficient of variation (CV) analysis. Tissue volume and hepatic PDFF accuracies were assessed by linear regression using their respective reference standards.ResultsTwenty adult subjects were enrolled (18 female, age range 25 - 76 yrs, body mass index range 19.3 to 43.9 kg/m2). Adipose and thigh muscle tissue volumes estimated using the semi-automated analysis method had intra-and inter-examination ICCs between 0.996 and 0.998, and CVs between 1.5 and 3.6%. For hepatic MRI PDFF, intra- and inter-examination ICCs were ≥ 0.994 and CVs, ≤ 7.3%. Agreement between semi-automated and manual volume estimates, and between MRI and MRS hepatic PDFF estimates, was high, with regression slopes and intercepts not significantly different from the identity line (all p’s > 0.05), and R2’s between 0.744 and 0.994.ConclusionsThis MRI-based, semi-automated method provides high repeatability, and high accuracy for estimating abdominal adipose tissue and thigh muscle volumes, and hepatic PDFF.
Ämnesord
- 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)
Nyckelord
- Liver
- proton density fat fraction
- PDFF
- repeatability
- accuracy
- semi-automated
- SCAT
- VAT.
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Middleton, Micha ...
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Haufe, William
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Hooker, Jonathan
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Borga, Magnus
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Dahlqvist Leinha ...
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Romu, Thobias
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visa fler...
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Tunón, Patrik
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Hamilton, Gavin
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Wolfson, Tanya
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Gamst, Anthony
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Loomba, Rohit
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Sirlin, Claude
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- MEDICIN OCH HÄLSOVETENSKAP
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Radiology
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Linköpings universitet