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Cited by 25

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Liver Fat Quantification by Dual-echo MR Imaging Outperforms Traditional Histopathological Analysis

Fischer, Michael A., Raptis, Dimitri A., Montani, Matteo, Graf, Rolf, Clavien, Pierre-Alain, Nanz, Daniel, Alkadhi, Hatem, Scheffel, Hans·2012·Academic Radiology
DOI 10.1016/j.acra.2012.05.009
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Abstract

Rationale and objectives The aim of this study was to evaluate the accuracy of dual-echo (DE) magnetic resonance imaging (MRI) with and without fat and water separation for the quantification of liver fat content (LFC) in vitro and in patients undergoing liver surgery, with comparison to histopathologic analysis. Materials and methods MRI was performed on a 1.5-T scanner using a three-dimensional DE MRI sequence with automated reconstruction of in-phase (IP) and out-of-phase (OP) and fat-signal-only and water-signal-only images. LFC was estimated by fat fractions from IP and OP images (MRI(IP/OP)) and from Dixon-based fat-only and water-only images (MRI(DIxON)). Seven phantoms containing a titrated mixture of liver and fat from 0% to 50% were examined. Forty-three biopsies in 22 patients undergoing liver surgery were prospectively evaluated by a pathologist by traditional determination of the cell-count fraction and by a computer-based algorithm, the latter serving as the reference standard. Results In vitro, both MRI(IP/OP) and MRI(DIxON) were significantly correlated with titrated LFC (r = 0.993, P Conclusions DE MRI allows the accurate quantification of LFC in a surgical population, outperforming traditional histopathologic analysis. DE MRI without fat and water separation shows the highest accuracy and smallest measurement bias for the quantification of LFC.

Overview

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Crossref · 10.1016/j.acra.2012.05.009

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26 of 26 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Fischer, M. A., Raptis, D. A., Montani, M., Graf, R., Clavien, P.-A., Nanz, D., Alkadhi, H., & Scheffel, H.
Venue
Academic Radiology
Publisher
Elsevier BV
Published
2012-10
Volume
19
Issue
10
Pages
1208-1214
ISSN
1076-6332
DOI
10.1016/j.acra.2012.05.009
Cited by
25
References
26
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Liver Fat Quantification by Dual-echo MR Imaging Outperforms Traditional Histopathological Analysis. https://app.cochat.ai/papers/10.1016/j.acra.2012.05.009
The paper
Fischer, M. A., Raptis, D. A., Montani, M., Graf, R., Clavien, P.-A., Nanz, D., Alkadhi, H., & Scheffel, H. (2012). Liver Fat Quantification by Dual-echo MR Imaging Outperforms Traditional Histopathological Analysis. Academic Radiology. https://doi.org/10.1016/j.acra.2012.05.009

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.