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Detection of fatty liver using virtual non-contrast dual-energy CT

PURPOSE: Determine whether liver attenuation measured on dual-energy CT (DECT) virtual non-contrast examinations predicts the presence of fatty liver. METHODS: Single-institution retrospective review from 2016 to 2020 found patients with DECT and proton density fat fraction MRI (MRI PDFF) within 30 ...

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Autores principales: Zhang, Pengcheng Peter, Choi, Hailey H., Ohliger, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107401/
https://www.ncbi.nlm.nih.gov/pubmed/35306577
http://dx.doi.org/10.1007/s00261-022-03482-9
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author Zhang, Pengcheng Peter
Choi, Hailey H.
Ohliger, Michael A.
author_facet Zhang, Pengcheng Peter
Choi, Hailey H.
Ohliger, Michael A.
author_sort Zhang, Pengcheng Peter
collection PubMed
description PURPOSE: Determine whether liver attenuation measured on dual-energy CT (DECT) virtual non-contrast examinations predicts the presence of fatty liver. METHODS: Single-institution retrospective review from 2016 to 2020 found patients with DECT and proton density fat fraction MRI (MRI PDFF) within 30 days. MRI PDFF was the reference standard for determining hepatic steatosis. Attenuation measurements from VNC and mixed 120 kVp-like images were compared to MRI PDFF in the right and left lobes. Performance of VNC was compared to measurement of the liver-spleen attenuation difference (LSAD). RESULTS: 128 patients were included (69 men, 59 women) with mean age 51.6 years (range 14–98 years). > 90% of patients received CT and MRI in the emergency department or as inpatients. Median interval between DECT and MRI PDFF was 2 days (range 0–28 days). Prevalence of fatty liver using the reference standard (MRI PDFF > 6%) was 24%. Pearson correlation coefficient between VNC and MRI- DFF was -0.64 (right) and -0.68 (left, both p < 0.0001). For LSAD, correlation was − 0.43 in both lobes (p < 0.0001). Considering MRI PDFF > 6% as diagnostic of steatosis, area under the receiver operator characteristic curve (AUC) was 0.834 and 0.872 in the right and left hepatic lobes, with an optimal threshold of 54.8 HU (right) and 52.5 HU (left), yielding sensitivity/specificity of 57%/93.9% (right) and 67.9%/90% (left). For LSAD, AUC was 0.808 (right) and 0.767 (left) with optimal sensitivity/specificity of 93.3%/57.1% (right) and 78.6%/68% (left). CONCLUSION: Attenuation measured at VNC CT was moderately correlated with liver fat content and had > 90% specificity for diagnosis of fatty liver. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-91074012022-05-16 Detection of fatty liver using virtual non-contrast dual-energy CT Zhang, Pengcheng Peter Choi, Hailey H. Ohliger, Michael A. Abdom Radiol (NY) Hepatobiliary PURPOSE: Determine whether liver attenuation measured on dual-energy CT (DECT) virtual non-contrast examinations predicts the presence of fatty liver. METHODS: Single-institution retrospective review from 2016 to 2020 found patients with DECT and proton density fat fraction MRI (MRI PDFF) within 30 days. MRI PDFF was the reference standard for determining hepatic steatosis. Attenuation measurements from VNC and mixed 120 kVp-like images were compared to MRI PDFF in the right and left lobes. Performance of VNC was compared to measurement of the liver-spleen attenuation difference (LSAD). RESULTS: 128 patients were included (69 men, 59 women) with mean age 51.6 years (range 14–98 years). > 90% of patients received CT and MRI in the emergency department or as inpatients. Median interval between DECT and MRI PDFF was 2 days (range 0–28 days). Prevalence of fatty liver using the reference standard (MRI PDFF > 6%) was 24%. Pearson correlation coefficient between VNC and MRI- DFF was -0.64 (right) and -0.68 (left, both p < 0.0001). For LSAD, correlation was − 0.43 in both lobes (p < 0.0001). Considering MRI PDFF > 6% as diagnostic of steatosis, area under the receiver operator characteristic curve (AUC) was 0.834 and 0.872 in the right and left hepatic lobes, with an optimal threshold of 54.8 HU (right) and 52.5 HU (left), yielding sensitivity/specificity of 57%/93.9% (right) and 67.9%/90% (left). For LSAD, AUC was 0.808 (right) and 0.767 (left) with optimal sensitivity/specificity of 93.3%/57.1% (right) and 78.6%/68% (left). CONCLUSION: Attenuation measured at VNC CT was moderately correlated with liver fat content and had > 90% specificity for diagnosis of fatty liver. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2022-03-19 2022 /pmc/articles/PMC9107401/ /pubmed/35306577 http://dx.doi.org/10.1007/s00261-022-03482-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Hepatobiliary
Zhang, Pengcheng Peter
Choi, Hailey H.
Ohliger, Michael A.
Detection of fatty liver using virtual non-contrast dual-energy CT
title Detection of fatty liver using virtual non-contrast dual-energy CT
title_full Detection of fatty liver using virtual non-contrast dual-energy CT
title_fullStr Detection of fatty liver using virtual non-contrast dual-energy CT
title_full_unstemmed Detection of fatty liver using virtual non-contrast dual-energy CT
title_short Detection of fatty liver using virtual non-contrast dual-energy CT
title_sort detection of fatty liver using virtual non-contrast dual-energy ct
topic Hepatobiliary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107401/
https://www.ncbi.nlm.nih.gov/pubmed/35306577
http://dx.doi.org/10.1007/s00261-022-03482-9
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