Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography

Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We compared the ability of transient elastography (TE) with the M-probe, and magnetic resonance elastography (MRE) to assess liver fibrosis. Findings...

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Published inGastroenterology (New York, N.Y. 1943) Vol. 150; no. 3; pp. 626 - 637.e7
Main Authors Imajo, Kento, Kessoku, Takaomi, Honda, Yasushi, Tomeno, Wataru, Ogawa, Yuji, Mawatari, Hironori, Fujita, Koji, Yoneda, Masato, Taguri, Masataka, Hyogo, Hideyuki, Sumida, Yoshio, Ono, Masafumi, Eguchi, Yuichiro, Inoue, Tomio, Yamanaka, Takeharu, Wada, Koichiro, Saito, Satoru, Nakajima, Atsushi
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.03.2016
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Abstract Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We compared the ability of transient elastography (TE) with the M-probe, and magnetic resonance elastography (MRE) to assess liver fibrosis. Findings from magnetic resonance imaging (MRI)−based proton density fat fraction (PDFF) measurements were compared with those from TE-based controlled attenuation parameter (CAP) measurements to assess steatosis. We performed a cross-sectional study of 142 patients with NAFLD (identified by liver biopsy; mean body mass index, 28.1 kg/m2) in Japan from July 2013 through April 2015. Our study also included 10 comparable subjects without NAFLD (controls). All study subjects were evaluated by TE (including CAP measurements), MRI using the MRE and PDFF techniques. TE identified patients with fibrosis stage ≥2 with an area under the receiver operating characteristic (AUROC) curve value of 0.82 (95% confidence interval [CI]: 0.74−0.89), whereas MRE identified these patients with an AUROC curve value of 0.91 (95% CI: 0.86−0.96; P = .001). TE-based CAP measurements identified patients with hepatic steatosis grade ≥2 with an AUROC curve value of 0.73 (95% CI: 0.64−0.81) and PDFF methods identified them with an AUROC curve value of 0.90 (95% CI: 0.82−0.97; P < .001). Measurement of serum keratin 18 fragments or alanine aminotransferase did not add value to TE or MRI for identifying nonalcoholic steatohepatitis. MRE and PDFF methods have higher diagnostic performance in noninvasive detection of liver fibrosis and steatosis in patients with NAFLD than TE and CAP methods. MRI-based noninvasive assessment of liver fibrosis and steatosis is a potential alternative to liver biopsy in clinical practice. UMIN Clinical Trials Registry No. UMIN000012757.
AbstractList Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We compared the ability of transient elastography (TE) with the M-probe, and magnetic resonance elastography (MRE) to assess liver fibrosis. Findings from magnetic resonance imaging (MRI)-based proton density fat fraction (PDFF) measurements were compared with those from TE-based controlled attenuation parameter (CAP) measurements to assess steatosis. We performed a cross-sectional study of 142 patients with NAFLD (identified by liver biopsy; mean body mass index, 28.1 kg/m(2)) in Japan from July 2013 through April 2015. Our study also included 10 comparable subjects without NAFLD (controls). All study subjects were evaluated by TE (including CAP measurements), MRI using the MRE and PDFF techniques. TE identified patients with fibrosis stage ≥2 with an area under the receiver operating characteristic (AUROC) curve value of 0.82 (95% confidence interval [CI]: 0.74-0.89), whereas MRE identified these patients with an AUROC curve value of 0.91 (95% CI: 0.86-0.96; P = .001). TE-based CAP measurements identified patients with hepatic steatosis grade ≥2 with an AUROC curve value of 0.73 (95% CI: 0.64-0.81) and PDFF methods identified them with an AUROC curve value of 0.90 (95% CI: 0.82-0.97; P < .001). Measurement of serum keratin 18 fragments or alanine aminotransferase did not add value to TE or MRI for identifying nonalcoholic steatohepatitis. MRE and PDFF methods have higher diagnostic performance in noninvasive detection of liver fibrosis and steatosis in patients with NAFLD than TE and CAP methods. MRI-based noninvasive assessment of liver fibrosis and steatosis is a potential alternative to liver biopsy in clinical practice. UMIN Clinical Trials Registry No. UMIN000012757.
Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We compared the ability of transient elastography (TE) with the M-probe, and magnetic resonance elastography (MRE) to assess liver fibrosis. Findings from magnetic resonance imaging (MRI)−based proton density fat fraction (PDFF) measurements were compared with those from TE-based controlled attenuation parameter (CAP) measurements to assess steatosis. We performed a cross-sectional study of 142 patients with NAFLD (identified by liver biopsy; mean body mass index, 28.1 kg/m2) in Japan from July 2013 through April 2015. Our study also included 10 comparable subjects without NAFLD (controls). All study subjects were evaluated by TE (including CAP measurements), MRI using the MRE and PDFF techniques. TE identified patients with fibrosis stage ≥2 with an area under the receiver operating characteristic (AUROC) curve value of 0.82 (95% confidence interval [CI]: 0.74−0.89), whereas MRE identified these patients with an AUROC curve value of 0.91 (95% CI: 0.86−0.96; P = .001). TE-based CAP measurements identified patients with hepatic steatosis grade ≥2 with an AUROC curve value of 0.73 (95% CI: 0.64−0.81) and PDFF methods identified them with an AUROC curve value of 0.90 (95% CI: 0.82−0.97; P < .001). Measurement of serum keratin 18 fragments or alanine aminotransferase did not add value to TE or MRI for identifying nonalcoholic steatohepatitis. MRE and PDFF methods have higher diagnostic performance in noninvasive detection of liver fibrosis and steatosis in patients with NAFLD than TE and CAP methods. MRI-based noninvasive assessment of liver fibrosis and steatosis is a potential alternative to liver biopsy in clinical practice. UMIN Clinical Trials Registry No. UMIN000012757.
Background & Aims Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We compared the ability of transient elastography (TE) with the M-probe, and magnetic resonance elastography (MRE) to assess liver fibrosis. Findings from magnetic resonance imaging (MRI)−based proton density fat fraction (PDFF) measurements were compared with those from TE-based controlled attenuation parameter (CAP) measurements to assess steatosis. Methods We performed a cross-sectional study of 142 patients with NAFLD (identified by liver biopsy; mean body mass index, 28.1 kg/m2 ) in Japan from July 2013 through April 2015. Our study also included 10 comparable subjects without NAFLD (controls). All study subjects were evaluated by TE (including CAP measurements), MRI using the MRE and PDFF techniques. Results TE identified patients with fibrosis stage ≥2 with an area under the receiver operating characteristic (AUROC) curve value of 0.82 (95% confidence interval [CI]: 0.74−0.89), whereas MRE identified these patients with an AUROC curve value of 0.91 (95% CI: 0.86−0.96; P  = .001). TE-based CAP measurements identified patients with hepatic steatosis grade ≥2 with an AUROC curve value of 0.73 (95% CI: 0.64−0.81) and PDFF methods identified them with an AUROC curve value of 0.90 (95% CI: 0.82−0.97; P < .001). Measurement of serum keratin 18 fragments or alanine aminotransferase did not add value to TE or MRI for identifying nonalcoholic steatohepatitis. Conclusions MRE and PDFF methods have higher diagnostic performance in noninvasive detection of liver fibrosis and steatosis in patients with NAFLD than TE and CAP methods. MRI-based noninvasive assessment of liver fibrosis and steatosis is a potential alternative to liver biopsy in clinical practice. UMIN Clinical Trials Registry No. UMIN000012757.
Author Eguchi, Yuichiro
Saito, Satoru
Sumida, Yoshio
Honda, Yasushi
Fujita, Koji
Ono, Masafumi
Mawatari, Hironori
Inoue, Tomio
Imajo, Kento
Yamanaka, Takeharu
Wada, Koichiro
Tomeno, Wataru
Hyogo, Hideyuki
Kessoku, Takaomi
Ogawa, Yuji
Nakajima, Atsushi
Yoneda, Masato
Taguri, Masataka
Author_xml – sequence: 1
  givenname: Kento
  surname: Imajo
  fullname: Imajo, Kento
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 2
  givenname: Takaomi
  surname: Kessoku
  fullname: Kessoku, Takaomi
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 3
  givenname: Yasushi
  orcidid: 0000-0002-1624-5462
  surname: Honda
  fullname: Honda, Yasushi
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 4
  givenname: Wataru
  surname: Tomeno
  fullname: Tomeno, Wataru
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 5
  givenname: Yuji
  surname: Ogawa
  fullname: Ogawa, Yuji
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 6
  givenname: Hironori
  surname: Mawatari
  fullname: Mawatari, Hironori
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 7
  givenname: Koji
  surname: Fujita
  fullname: Fujita, Koji
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 8
  givenname: Masato
  surname: Yoneda
  fullname: Yoneda, Masato
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 9
  givenname: Masataka
  surname: Taguri
  fullname: Taguri, Masataka
  organization: Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 10
  givenname: Hideyuki
  surname: Hyogo
  fullname: Hyogo, Hideyuki
  organization: Department of Medicine and Molecular Science, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan
– sequence: 11
  givenname: Yoshio
  surname: Sumida
  fullname: Sumida, Yoshio
  organization: Department of Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, Japan
– sequence: 12
  givenname: Masafumi
  surname: Ono
  fullname: Ono, Masafumi
  organization: Department of Gastroenterology and Hepatology, Kochi Medical School, Kochi, Japan
– sequence: 13
  givenname: Yuichiro
  surname: Eguchi
  fullname: Eguchi, Yuichiro
  organization: Division of Hepatology, Saga Medical School, Liver Center, Saga, Japan
– sequence: 14
  givenname: Tomio
  surname: Inoue
  fullname: Inoue, Tomio
  organization: Department of Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 15
  givenname: Takeharu
  surname: Yamanaka
  fullname: Yamanaka, Takeharu
  organization: Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 16
  givenname: Koichiro
  surname: Wada
  fullname: Wada, Koichiro
  organization: Department of Pharmacology, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
– sequence: 17
  givenname: Satoru
  surname: Saito
  fullname: Saito, Satoru
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
– sequence: 18
  givenname: Atsushi
  surname: Nakajima
  fullname: Nakajima, Atsushi
  email: nakajima-tky@umin.ac.jp
  organization: Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26677985$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2016 AGA Institute
AGA Institute
Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.
Copyright_xml – notice: 2016 AGA Institute
– notice: AGA Institute
– notice: Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.
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DOI 10.1053/j.gastro.2015.11.048
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IsDoiOpenAccess true
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Issue 3
Keywords MRE
NAS
NAFLD
Alanine Transaminase
MRI
CI
LSM
AUROC
NASH
ROI
Overweight
PDFF
TE
CAP
Classification
Diagnosis
NAFL
BMI
magnetic resonance imaging
transient elastography
nonalcoholic steatohepatitis
magnetic resonance elastography
area under the receiver operating characteristic
liver stiffness measurement
nonalcoholic fatty liver
body mass index
controlled attenuation parameter
proton density fat fraction
Nonalcoholic Fatty Liver Disease Activity Score
nonalcoholic fatty liver disease
region of interest
confidence interval
Language English
License This is an open access article under the CC BY-NC-ND license.
Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.
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PublicationTitle Gastroenterology (New York, N.Y. 1943)
PublicationTitleAlternate Gastroenterology
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Snippet Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We...
Background & Aims Noninvasive methods have been evaluated for the assessment of liver fibrosis and steatosis in patients with nonalcoholic fatty liver disease...
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SubjectTerms Adult
Aged
Alanine Transaminase
Area Under Curve
Biopsy
Classification
Cross-Sectional Studies
Diagnosis
Elasticity Imaging Techniques - methods
Female
Gastroenterology and Hepatology
Humans
Liver - pathology
Liver Cirrhosis - etiology
Liver Cirrhosis - pathology
Magnetic Resonance Imaging - methods
Male
Middle Aged
Multivariate Analysis
Non-alcoholic Fatty Liver Disease - complications
Non-alcoholic Fatty Liver Disease - pathology
Overweight
Predictive Value of Tests
Prognosis
Reproducibility of Results
ROC Curve
Severity of Illness Index
Title Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0016508515017345
https://www.clinicalkey.es/playcontent/1-s2.0-S0016508515017345
https://dx.doi.org/10.1053/j.gastro.2015.11.048
https://www.ncbi.nlm.nih.gov/pubmed/26677985
Volume 150
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