| Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol. | |
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MedLine Citation:
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PMID: 20814683 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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OBJECTIVE: The purpose of this study was to evaluate the ability of a whole liver volume (WLV) segmentation algorithm to measure fat fraction (FF). METHODS: Twenty consecutive patients with histologically proven fatty liver disease underwent dual-echo in-phase/out-of-phase MRI and magnetic resonance spectroscopy (MRS) at 1.5 T. Two readers independently performed semiautomatic 3D liver segmentation on the out-of-phase sequences using an active contour model. FF was calculated for voxels, segments and WLV. Segmentation inter-observer reproducibility was assessed by intra-class correlation coefficient (ICC) for WLV and FF. Fat fraction correlation and agreement as determined by histology, MRS and MRI were determined. RESULTS: ICC was 0.999 (95% CI: 0.999-1, P < 0.001) for WLV FF calculation and 0.996 (95% CI: 0.990-0.998, P < 0.001) for whole liver volume calculations. Strong correlations were found between FF measured by histology, MRS and WLV-MRI. A Bland-Altman analysis showed a good agreement between FF measured by MRS and WLV-MRI. No systematic variations of FF was found between segments when analyzed by ANOVA (F = 1.78, P = 0.096). CONCLUSION: This study shows that a reproducible whole liver volume segmentation method to measure fat fraction can be performed. This strategy may be integrated to a "one-stop shop" protocol in liver surgery planning. |
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Authors:
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Gaspard d'Assignies; Claude Kauffmann; Yvan Boulanger; Marc Bilodeau; Valérie Vilgrain; Gilles Soulez; An Tang |
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Publication Detail:
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Type: Journal Article Date: 2010-09-03 |
Journal Detail:
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Title: European radiology Volume: 21 ISSN: 1432-1084 ISO Abbreviation: Eur Radiol Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-02-08 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9114774 Medline TA: Eur Radiol Country: Germany |
Other Details:
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Languages: eng Pagination: 301-9 Citation Subset: IM |
Affiliation:
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Department of Medical Imaging, University of Montreal and Centre de recherche, Centre hospitalier de l'Université de Montréal (CRCHUM), Hôpital Saint-Luc, 1058 rue Saint-Denis, Montréal, Québec, Canada, H2X 3J4. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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