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Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging

Understanding intratumoral fat in hepatocellular carcinoma (HCC) is clinically important to elucidate prognosis. We sought to quantify HCC and liver fat with a multimaterial decomposition (MMD) algorithm with rapid kilovoltage-switching dual-energy computed tomography (DECT) relative to chemical-shi...

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Autores principales: Ota, Takashi, Hori, Masatoshi, Sasaki, Kosuke, Onishi, Hiromitsu, Nakamoto, Atsushi, Tatsumi, Mitsuaki, Fukui, Hideyuki, Ogawa, Kazuya, Tomiyama, Noriyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137011/
https://www.ncbi.nlm.nih.gov/pubmed/34011134
http://dx.doi.org/10.1097/MD.0000000000026109
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author Ota, Takashi
Hori, Masatoshi
Sasaki, Kosuke
Onishi, Hiromitsu
Nakamoto, Atsushi
Tatsumi, Mitsuaki
Fukui, Hideyuki
Ogawa, Kazuya
Tomiyama, Noriyuki
author_facet Ota, Takashi
Hori, Masatoshi
Sasaki, Kosuke
Onishi, Hiromitsu
Nakamoto, Atsushi
Tatsumi, Mitsuaki
Fukui, Hideyuki
Ogawa, Kazuya
Tomiyama, Noriyuki
author_sort Ota, Takashi
collection PubMed
description Understanding intratumoral fat in hepatocellular carcinoma (HCC) is clinically important to elucidate prognosis. We sought to quantify HCC and liver fat with a multimaterial decomposition (MMD) algorithm with rapid kilovoltage-switching dual-energy computed tomography (DECT) relative to chemical-shift magnetic resonance imaging (CSI). In this retrospective study, 40 consecutive patients with HCC underwent non-contrast-enhanced (non-CE) and four-phases contrast-enhanced (four-CE) DECT (80 and 140 kVp) and abdominal MR imaging (including CSI) between April 2011 and December 2012. Fat volume fraction (FVF(DECT)) maps were generated by MMD algorithm to quantify HCC and liver fat. Fat fraction measured by CSI (FF(CSI)) was determined for HCC and liver on dual-echo sequence using 1.5- or 3-Tesla MR systems. The correlation between FVF(DECT) and FF(CSI) was evaluated using Pearson correlation test, while non-CE FVF(DECT) and four-CE FVF(DECT) were compared by one-way ANOVA and Bland–Altman analysis. Forty patients (mean age, 70.1 years ± 7.8; 25 males) were evaluated. FVF(DECT) and FF(CSI) exhibited weak to moderate correlations for HCC in non-CE and four-CE except in equilibrium phase (r = 0.42, 0.44, 0.35, and 0.33; all P < .05), and very strong correlations for liver in all phases (r = 0.86, 0.83, 0.85, 0.87, and 0.84; all P < .05). Those correlation coefficients were significantly higher for liver for each phase (all P < .05). FVF(DECT) did not differ significantly across scan phases regarding HCC or liver (P = .076 and 0.56). Bland–Altman analysis showed fixed bias in all phases between non- and four-CE FVF(DECT) in HCC and liver. As compared with liver, correlations between FVF measured by DECT-based MMD and FF measured by CSI were weak in HCC in all phases. FVF is reproducible across all scan phases in HCC and liver. The MMD algorithm requires modification for HCC fat quantification given the heterogeneous components of HCC.
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spelling pubmed-81370112021-05-25 Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging Ota, Takashi Hori, Masatoshi Sasaki, Kosuke Onishi, Hiromitsu Nakamoto, Atsushi Tatsumi, Mitsuaki Fukui, Hideyuki Ogawa, Kazuya Tomiyama, Noriyuki Medicine (Baltimore) 6800 Understanding intratumoral fat in hepatocellular carcinoma (HCC) is clinically important to elucidate prognosis. We sought to quantify HCC and liver fat with a multimaterial decomposition (MMD) algorithm with rapid kilovoltage-switching dual-energy computed tomography (DECT) relative to chemical-shift magnetic resonance imaging (CSI). In this retrospective study, 40 consecutive patients with HCC underwent non-contrast-enhanced (non-CE) and four-phases contrast-enhanced (four-CE) DECT (80 and 140 kVp) and abdominal MR imaging (including CSI) between April 2011 and December 2012. Fat volume fraction (FVF(DECT)) maps were generated by MMD algorithm to quantify HCC and liver fat. Fat fraction measured by CSI (FF(CSI)) was determined for HCC and liver on dual-echo sequence using 1.5- or 3-Tesla MR systems. The correlation between FVF(DECT) and FF(CSI) was evaluated using Pearson correlation test, while non-CE FVF(DECT) and four-CE FVF(DECT) were compared by one-way ANOVA and Bland–Altman analysis. Forty patients (mean age, 70.1 years ± 7.8; 25 males) were evaluated. FVF(DECT) and FF(CSI) exhibited weak to moderate correlations for HCC in non-CE and four-CE except in equilibrium phase (r = 0.42, 0.44, 0.35, and 0.33; all P < .05), and very strong correlations for liver in all phases (r = 0.86, 0.83, 0.85, 0.87, and 0.84; all P < .05). Those correlation coefficients were significantly higher for liver for each phase (all P < .05). FVF(DECT) did not differ significantly across scan phases regarding HCC or liver (P = .076 and 0.56). Bland–Altman analysis showed fixed bias in all phases between non- and four-CE FVF(DECT) in HCC and liver. As compared with liver, correlations between FVF measured by DECT-based MMD and FF measured by CSI were weak in HCC in all phases. FVF is reproducible across all scan phases in HCC and liver. The MMD algorithm requires modification for HCC fat quantification given the heterogeneous components of HCC. Lippincott Williams & Wilkins 2021-05-21 /pmc/articles/PMC8137011/ /pubmed/34011134 http://dx.doi.org/10.1097/MD.0000000000026109 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 6800
Ota, Takashi
Hori, Masatoshi
Sasaki, Kosuke
Onishi, Hiromitsu
Nakamoto, Atsushi
Tatsumi, Mitsuaki
Fukui, Hideyuki
Ogawa, Kazuya
Tomiyama, Noriyuki
Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title_full Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title_fullStr Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title_full_unstemmed Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title_short Multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy CT: A comparison with chemical-shift MR imaging
title_sort multimaterial decomposition algorithm for quantification of fat in hepatocellular carcinoma using rapid kilovoltage-switching dual-energy ct: a comparison with chemical-shift mr imaging
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137011/
https://www.ncbi.nlm.nih.gov/pubmed/34011134
http://dx.doi.org/10.1097/MD.0000000000026109
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