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 in | Gastroenterology (New York, N.Y. 1943) Vol. 150; no. 3; pp. 626 - 637.e7 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.03.2016
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Subjects | |
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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. |
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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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IngestDate | Wed Feb 19 02:41:50 EST 2025 Thu Jul 03 08:37:14 EDT 2025 Thu Apr 24 23:04:21 EDT 2025 Fri Feb 23 02:41:45 EST 2024 Sun Feb 23 10:18:59 EST 2025 Tue Aug 26 17:15:50 EDT 2025 |
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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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PMID | 26677985 |
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PublicationDate | 2016-03-01 |
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PublicationPlace | United States |
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PublicationTitle | Gastroenterology (New York, N.Y. 1943) |
PublicationTitleAlternate | Gastroenterology |
PublicationYear | 2016 |
Publisher | Elsevier Inc |
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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 |
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