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Ozkaya E, Kennedy P, Chen J, Bane O, Dillman JR, Jhaveri KS, Ohliger MA, Rossman PJ, Tkach JA, Doucette JT, Venkatesh SK, Ehman RL, Taouli B. Precision and Test-Retest Repeatability of Stiffness Measurement with MR Elastography: A Multicenter Phantom Study. Radiology 2024; 311:e233136. [PMID: 38742971 PMCID: PMC11140535 DOI: 10.1148/radiol.233136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 03/14/2024] [Accepted: 03/26/2024] [Indexed: 05/16/2024]
Abstract
Background MR elastography (MRE) has been shown to have excellent performance for noninvasive liver fibrosis staging. However, there is limited knowledge regarding the precision and test-retest repeatability of stiffness measurement with MRE in the multicenter setting. Purpose To determine the precision and test-retest repeatability of stiffness measurement with MRE across multiple centers using the same phantoms. Materials and Methods In this study, three cylindrical phantoms made of polyvinyl chloride gel mimicking different degrees of liver stiffness in humans (phantoms 1-3: soft, medium, and hard stiffness, respectively) were evaluated. Between January 2021 and January 2022, phantoms were circulated between five different centers and scanned with 10 MRE-equipped clinical 1.5-T and 3-T systems from three major vendors, using two-dimensional (2D) gradient-recalled echo (GRE) imaging and/or 2D spin-echo (SE) echo-planar imaging (EPI). Similar MRE acquisition parameters, hardware, and reconstruction algorithms were used at each center. Mean stiffness was measured by a single observer for each phantom and acquisition on a single section. Stiffness measurement precision and same-session test-retest repeatability were assessed using the coefficient of variation (CV) and the repeatability coefficient (RC), respectively. Results The mean precision represented by the CV was 5.8% (95% CI: 3.8, 7.7) for all phantoms and both sequences combined. For all phantoms, 2D GRE achieved a CV of 4.5% (95% CI: 3.3, 5.7) whereas 2D SE EPI achieved a CV of 7.8% (95% CI: 3.1, 12.6). The mean RC of stiffness measurement was 5.8% (95% CI: 3.7, 7.8) for all phantoms and both sequences combined, 4.9% (95% CI: 2.7, 7.0) for 2D GRE, and 7.0% (95% CI: 2.9, 11.2) for 2D SE EPI (all phantoms). Conclusion MRE had excellent in vitro precision and same-session test-retest repeatability in the multicenter setting when similar imaging protocols, hardware, and reconstruction algorithms were used. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Tang in this issue.
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Affiliation(s)
| | | | - Jun Chen
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Octavia Bane
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Jonathan R. Dillman
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Kartik S. Jhaveri
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Michael A. Ohliger
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Phillip J. Rossman
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Jean A. Tkach
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - John T. Doucette
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Sudhakar K. Venkatesh
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Richard L. Ehman
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
| | - Bachir Taouli
- From the BioMedical Engineering and Imaging Institute (E.O., P.K.,
O.B., B.T.) and Departments of Diagnostic, Molecular and Interventional
Radiology (E.O., P.K., O.B., B.T.) Environmental Medicine and Public Health
(J.T.D.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York,
NY 10029; Department of Radiology, Mayo Clinic, Rochester, Minn (J.C., P.J.R.,
S.K.V., R.L.E.); Department of Radiology, Nanjing University Medical School
Affiliated Drum Tower Hospital, Nanjing, China (J.C.); Department of Radiology,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati
College of Medicine, Cincinnati, Ohio (J.R.D., J.A.T.); Joint Department of
Medical Imaging, University Health Network, Mount Sinai Hospital, and
Women’s College Hospital, University of Toronto, Toronto, Canada
(K.S.J.); Department of Radiology and Biomedical Imaging, University of
California, San Francisco, Calif (M.A.O.); and Department of Radiology,
Zuckerberg San Francisco General Hospital, San Francisco, Calif (M.A.O.)
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Fowler KJ, Venkatesh SK, Obuchowski N, Middleton MS, Chen J, Pepin K, Magnuson J, Brown KJ, Batakis D, Henderson WC, Shankar SS, Kamphaus TN, Pasek A, Calle RA, Sanyal AJ, Loomba R, Ehman R, Samir AE, Sirlin CB, Sherlock SP. Repeatability of MRI Biomarkers in Nonalcoholic Fatty Liver Disease: The NIMBLE Consortium. Radiology 2023; 309:e231092. [PMID: 37815451 PMCID: PMC10625902 DOI: 10.1148/radiol.231092] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/30/2023] [Accepted: 08/29/2023] [Indexed: 10/11/2023]
Abstract
Background There is a need for reliable noninvasive methods for diagnosing and monitoring nonalcoholic fatty liver disease (NAFLD). Thus, the multidisciplinary Non-invasive Biomarkers of Metabolic Liver disease (NIMBLE) consortium was formed to identify and advance the regulatory qualification of NAFLD imaging biomarkers. Purpose To determine the different-day same-scanner repeatability coefficient of liver MRI biomarkers in patients with NAFLD at risk for steatohepatitis. Materials and Methods NIMBLE 1.2 is a prospective, observational, single-center short-term cross-sectional study (October 2021 to June 2022) in adults with NAFLD across a spectrum of low, intermediate, and high likelihood of advanced fibrosis as determined according to the fibrosis based on four factors (FIB-4) index. Participants underwent up to seven MRI examinations across two visits less than or equal to 7 days apart. Standardized imaging protocols were implemented with six MRI scanners from three vendors at both 1.5 T and 3 T, with central analysis of the data performed by an independent reading center (University of California, San Diego). Trained analysts, who were blinded to clinical data, measured the MRI proton density fat fraction (PDFF), liver stiffness at MR elastography (MRE), and visceral adipose tissue (VAT) for each participant. Point estimates and CIs were calculated using χ2 distribution and statistical modeling for pooled repeatability measures. Results A total of 17 participants (mean age, 58 years ± 8.5 [SD]; 10 female) were included, of which seven (41.2%), six (35.3%), and four (23.5%) participants had a low, intermediate, or high likelihood of advanced fibrosis, respectively. The different-day same-scanner mean measurements were 13%-14% for PDFF, 6.6 L for VAT, and 3.15 kPa for two-dimensional MRE stiffness. The different-day same-scanner repeatability coefficients were 0.22 L (95% CI: 0.17, 0.29) for VAT, 0.75 kPa (95% CI: 0.6, 0.99) for MRE stiffness, 1.19% (95% CI: 0.96, 1.61) for MRI PDFF using magnitude reconstruction, 1.56% (95% CI: 1.26, 2.07) for MRI PDFF using complex reconstruction, and 19.7% (95% CI: 15.8, 26.2) for three-dimensional MRE shear modulus. Conclusion This preliminary study suggests that thresholds of 1.2%-1.6%, 0.22 L, and 0.75 kPa for MRI PDFF, VAT, and MRE, respectively, should be used to discern measurement error from real change in patients with NAFLD. ClinicalTrials.gov registration no. NCT05081427 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Kozaka and Matsui in this issue.
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Affiliation(s)
| | | | - Nancy Obuchowski
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Michael S. Middleton
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Jun Chen
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Kay Pepin
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Jessica Magnuson
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Kathy J. Brown
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Danielle Batakis
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Walter C. Henderson
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Sudha S. Shankar
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Tania N. Kamphaus
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Alex Pasek
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Roberto A. Calle
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Arun J. Sanyal
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Rohit Loomba
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Richard Ehman
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
| | - Anthony E. Samir
- From the Liver Imaging Group (K.J.F., M.S.M., D.B., W.C.H., C.B.S.)
and Department of Hepatology (R.L.), University of California–San Diego,
6206 Lakewood St, San Diego, CA 92122; Department of Radiology, Mayo Clinic,
Rochester, Minn (S.K.V., J.C., K.P., J.M., K.J.B., R.E.); Department of
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio (N.O.); Pfizer
Research and Development, Pfizer, Inc, Sacramento, Calif (S.S.S.); Foundation
for the National Institutes of Health, North Bethesda, Md (T.N.K., A.P.);
Regeneron Pharmaceuticals, Inc, Tarrytown, NY (R.A.C.); Department of
Gastroenterology, Virginia Commonwealth University, Richmond, Va (A.J.S.);
Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.E.S.);
and Department of Imaging Alliances, Pfizer, Inc, New York, NY (S.P.S.)
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Tsujita Y, Sofue K, Ueshima E, Ueno Y, Hori M, Murakami T. Clinical Application of Quantitative MR Imaging in Nonalcoholic Fatty Liver Disease. Magn Reson Med Sci 2023; 22:435-445. [PMID: 35584952 PMCID: PMC10552668 DOI: 10.2463/mrms.rev.2021-0152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/23/2022] [Indexed: 11/09/2022] Open
Abstract
Viral hepatitis was previously the most common cause of chronic liver disease. However, in recent years, nonalcoholic fatty liver disease (NAFLD) cases have been increasing, especially in developed countries. NAFLD is histologically characterized by fat, fibrosis, and inflammation in the liver, eventually leading to cirrhosis and hepatocellular carcinoma. Although biopsy is the gold standard for the assessment of the liver parenchyma, quantitative evaluation methods, such as ultrasound, CT, and MRI, have been reported to have good diagnostic performances. The quantification of liver fat, fibrosis, and inflammation is expected to be clinically useful in terms of the prognosis, early intervention, and treatment response for the management of NAFLD. The aim of this review was to discuss the basics and prospects of MRI-based tissue quantifications of the liver, mainly focusing on proton density fat fraction for the quantification of fat deposition, MR elastography for the quantification of fibrosis, and multifrequency MR elastography for the evaluation of inflammation.
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Affiliation(s)
- Yushi Tsujita
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Keitaro Sofue
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Eisuke Ueshima
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Yoshiko Ueno
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Masatoshi Hori
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
| | - Takamichi Murakami
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan
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4
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Yu JH, Lee HA, Kim SU. Noninvasive imaging biomarkers for liver fibrosis in nonalcoholic fatty liver disease: current and future. Clin Mol Hepatol 2023; 29:S136-S149. [PMID: 36503205 PMCID: PMC10029967 DOI: 10.3350/cmh.2022.0436] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is increasingly prevalent worldwide and becoming a major cause of liver disease-related morbidity and mortality. The presence of liver fibrosis in patients with NAFLD is closely related to prognosis, including the development of hepatocellular carcinoma and other complications of cirrhosis. Therefore, assessment of the presence of significant or advanced liver fibrosis is crucial. Although liver biopsy has been considered the "gold standard" method for evaluating the degree of liver fibrosis, it is not suitable for extensive use in all patients with NAFLD owing to its invasiveness and high cost. Therefore, noninvasive biochemical and imaging biomarkers have been developed to overcome the limitations of liver biopsy. Imaging biomarkers for the stratification of liver fibrosis have been evaluated in patients with NAFLD using different imaging techniques, such as transient elastography, shear wave elastography, and magnetic resonance elastography. Furthermore, artificial intelligence and deep learning methods are increasingly being applied to improve the diagnostic accuracy of imaging techniques and overcome the pitfalls of existing imaging biomarkers. In this review, we describe the usefulness and future prospects of noninvasive imaging biomarkers that have been studied and used to evaluate the degree of liver fibrosis in patients with NAFLD.
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Affiliation(s)
- Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital and School of Medicine, Incheon, Korea
| | - Han Ah Lee
- Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
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5
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Li Y, Gao Q, Chen N, Zhang Y, Wang J, Li C, He X, Jiao Y, Zhang Z. Clinical studies of magnetic resonance elastography from 1995 to 2021: Scientometric and visualization analysis based on CiteSpace. Quant Imaging Med Surg 2022; 12:5080-5100. [PMID: 36330182 PMCID: PMC9622435 DOI: 10.21037/qims-22-207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 08/11/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND To assess the knowledge framework around magnetic resonance elastography (MRE) and to explore MRE research hotspots and emerging trends. METHODS The Science Citation Index Expanded of the Web of Science Core Collection was searched on 22 October 2021 for MRE-related studies published between 1995 and 2021. Excel 2016 and CiteSpace V (version 5.8.R3) were used to analyze the downloaded data. RESULTS In all, 1,236 articles published by 726 authors from 540 institutions in 40 countries were included in this study. The top 10 authors published 57.6% of all included articles. The 3 most productive countries were the USA (n=631), Germany (n=202), and France (n=134), and the 3 most productive institutions were the Mayo Clinic (n=240), Charité (n=131), and the University of Illinois (n=56). The USA and the Mayo Clinic had the highest betweenness centrality among countries and institutions, respectively, and played an important role in the field of MRE. In this study, the 24,347 distinct references were clustered into 48 categories via reasonable clustering using specific keywords, forming the knowledge framework. Among the 294 co-occurring keywords, "hepatic fibrosis", "stiffness", "skeletal muscle", "acoustic strain wave", "in vivo", and "non-invasive assessment" were research hotspots. "Diagnostic performance", "diagnostic accuracy", "hepatic steatosis", "chronic hepatitis B", "radiation force impulse", "children", and "echo" were frontier topics. CONCLUSIONS Scientometric and visualized analysis of MRE can provide information regarding the knowledge framework, research hotspots, frontier areas, and emerging trends in this field.
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Affiliation(s)
- Youwei Li
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Qiang Gao
- Department of Gastroenterology and Hepatology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Na Chen
- Department of Otorhinolaryngology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Yuanfang Zhang
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Juan Wang
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Chang Li
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Xuan He
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Yang Jiao
- Department of Rehabilitation Psychology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China
| | - Zongming Zhang
- Department of General Surgery, Beijing Electric Power Hospital, State Grid Corporation of China, Capital Medical University, Beijing, China
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6
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Im WH, Song JS, Jang W. Noninvasive staging of liver fibrosis: review of current quantitative CT and MRI-based techniques. Abdom Radiol (NY) 2022; 47:3051-3067. [PMID: 34228199 DOI: 10.1007/s00261-021-03181-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 06/12/2021] [Accepted: 06/14/2021] [Indexed: 01/18/2023]
Abstract
Liver fibrosis features excessive protein accumulation in the liver interstitial space resulting from repeated tissue injury due to chronic liver disease. Liver fibrosis eventually proceeds to cirrhosis and associated complications. So, early diagnosis and staging of liver fibrosis are of vital importance for clinical treatment. Liver biopsy remains the gold standard for the diagnosing and staging of fibrosis, but it is suboptimal due to various limitations. Recently, efforts have been made to migrate toward noninvasive techniques for assessing liver fibrosis. CT is relatively easy to perform, relatively standardized for different scanners, and does not require additional hardware in liver fibrosis staging. MRI is frequently performed to characterize indeterminate liver lesions. Because it does not use ionizing radiation and features high image contrast, its role has increased in the staging of liver fibrosis. More recently, several studies on liver fibrosis staging using deep learning algorithms in CT or MRI have been proposed and have shown meaningful results. In this review, we summarize the basic concept, diagnostic performance, and advantages and limitations of each technique to noninvasively stage liver fibrosis.
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Affiliation(s)
- Won Hyeong Im
- Department of Radiology, The 3rd Flying Training Wing, Sacheon, 52516, South Korea
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, Jeonbuk, South Korea.
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, South Korea.
- Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea.
| | - Weon Jang
- Department of Radiology, Jeonbuk National University Medical School and Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, Jeonbuk, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, South Korea
- Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
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Welle CL, Olson MC, Reeder SB, Venkatesh SK. Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron. Radiol Clin North Am 2022; 60:705-716. [DOI: 10.1016/j.rcl.2022.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Reliability of Gradient-Echo Magnetic Resonance Elastography of Lumbar Muscles: Phantom and Clinical Studies. Diagnostics (Basel) 2022; 12:diagnostics12061385. [PMID: 35741195 PMCID: PMC9221855 DOI: 10.3390/diagnostics12061385] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/24/2022] [Accepted: 05/31/2022] [Indexed: 12/04/2022] Open
Abstract
Magnetic resonance elastography (MRE) has been used to successfully characterize the mechanical behavior of healthy and diseased muscles, but no study has been performed to investigate the reliability of MRE on lumbar muscles. The objective of this work was to determine the reliability of MRE techniques on lumbar muscles in both ex vivo phantom and in vivo human studies. In this study, fresh porcine leg muscles were used in the phantom study, and 80 healthy adults (38.6 ± 11.2 years, 40 women) were recruited in the human study. Five repeated stiffness maps were obtained from both the phantom and human muscles by using a gradient-echo MRE sequence with a pneumatic vibration on a 1.5 T MR scanner. The technical failure rate, coefficient of variation (CV), and quality score were assessed to evaluate the reliability of MRE, respectively. Analysis of variance was performed to compare the stiffness between different lumbar muscles, and the difference was significant if p < 0.05 after Bonferroni correction. The results showed that the MRE achieved a zero technical failure rate and a low CV of stiffness (6.24 ± 1.41%) in the phantom muscles. However, in the human study, the MRE exhibited high CVs of stiffness (21.57%−25.24%) in the lumbar muscles, and the technical failure rate was higher in psoas muscles (60.0−66.3% in) than in paraspinal muscles (0.0−2.5%). Further, higher quality scores were noticed in paraspinal muscles (7.31−7.71) than those in psoas muscles (1.83−2.06). In conclusion, the MRE was a reliable technique to investigate the mechanical property of lumbar muscles, but it was less reliable to assess stiffness in psoas muscles than paraspinal muscles.
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Magnetic resonance elastography of the liver: everything you need to know to get started. Abdom Radiol (NY) 2022; 47:94-114. [PMID: 34725719 DOI: 10.1007/s00261-021-03324-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 12/17/2022]
Abstract
Magnetic resonance elastography (MRE) of the liver has emerged as the non-invasive standard for the evaluation of liver fibrosis in chronic liver diseases (CLDs). The utility of MRE in the evaluation of different CLD in both adults and children has been demonstrated in several studies, and MRE has been recommended by several clinical societies. Consequently, the clinical indications for evaluation of CLD with MRE have increased, and MRE is currently used as an add-on test during routine liver MRI studies or as a standalone test. To meet the increasing clinical demand, MRE is being installed in many academic and private practice imaging centers. There is a need for a comprehensive practical guide to help these practices to deliver high-quality liver MRE studies as well as troubleshoot the common issues with MRE to ensure smooth running of the service. This comprehensive clinical practice review summarizes the indications and provides an overview on why to use MRE, technical requirements, system set-up, patient preparation, acquiring the data, and interpretation.
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Roy A, Darapureddy A, Kumar Y. Noninvasive assessment of liver fibrosis by magnetic resonance elastography in patients with rheumatic disease on long-term methotrexate treatment. INDIAN JOURNAL OF RHEUMATOLOGY 2022. [DOI: 10.4103/injr.injr_186_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Lorton O, Toso S, El-Begri Talbi H, Anooshiravani M, Poletti PA, Hanquinet S, Salomir R. A tailored passive driver for liver MRE in pediatric patients. Front Pediatr 2022; 10:999830. [PMID: 36568430 PMCID: PMC9768363 DOI: 10.3389/fped.2022.999830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022] Open
Abstract
Objectives Magnetic resonance elastography (MRE) is increasingly used in the pediatric population for diagnosis and staging of liver fibrosis. However, the MR-compatible driver and sequences are usually those used for adult patients. Our feasibility study aimed to adapt the standardized adult MRE passive driver and vibrational parameters to a pediatric population. Methods We designed an elliptic passive driver shaped on a torus equipped with an elastic membrane and adapted to children's morphologies. As a first step, eight children (aged 8-18 years) were enrolled in a prospective pilot study aiming to determine the threshold vibrational amplitude for MRE using a custom passive driver, based on phase aliasing assessment and the occurrence of signal void artifacts on magnitude MR images. In the second step, the practicality and the consistency of the custom driver were assessed in a further 11 pediatric patients (aged 7-18 years). In the third step, we compared our custom driver vs. the commercial driver on six adult volunteers, in terms of the reliable region of interest area within the acquired MRE slices, the shear wave maps' quality, and measured stiffness values obtained. Results Based on pediatric patient data, the threshold vibrational amplitude expressed as percentage of maximum output was found to be 0.4 and 1.1 times the body weight (kg) at 40 and 60 Hz frequencies, respectively. In comparison to the commercial passive driver, the custom driver improved threefold the contact with the body surface, also enabling a more comfortable examination as self-assessed by the volunteers. Conclusions Our custom driver was more comfortable for the volunteers and was able to generate more homogenous shear waves, yielding larger usable hepatic area, and more reliable stiffness values.
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Affiliation(s)
- Orane Lorton
- Image Guided Interventions Laboratory (GR 949), Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
- Correspondence: Orane Lorton
| | - Seema Toso
- Unit of Pediatric Radiology, Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
| | - Hayat El-Begri Talbi
- Unit of Pediatric Radiology, Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
| | - Mehrak Anooshiravani
- Unit of Pediatric Radiology, Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
| | | | - Sylviane Hanquinet
- Unit of Pediatric Radiology, Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
| | - Rares Salomir
- Image Guided Interventions Laboratory (GR 949), Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Radiology Division, University Hospitals of Geneva, Geneva, Switzerland
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Brazilian Society of Hepatology and Brazilian College of Radiology practice guidance for the use of elastography in liver diseases. Ann Hepatol 2021; 22:100341. [PMID: 33737252 DOI: 10.1016/j.aohep.2021.100341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 02/21/2021] [Accepted: 03/01/2021] [Indexed: 02/07/2023]
Abstract
In 2015 the European Association for the Study of Liver Diseases (EASL) and the Asociación Latinoamericana para el Estudio del Hígado (ALEH) published a guideline for the use of non-invasive markers of liver disease. At that time, this guideline focused on the available data regarding ultrasonic-related elastography methods. Since then, much has been published, including new data about XL probe use in transient elastography, magnetic resonance elastography, and non-invasive liver steatosis evaluation. In order to draw evidence-based guidance concerning the use of elastography for non-invasive assessment of fibrosis and steatosis in different chronic liver diseases, the Brazilian Society of Hepatology (SBH) and the Brazilian College of Radiology (CBR) sponsored a single-topic meeting on October 4th, 2019, at São Paulo, Brazil. The aim was to establish specific recommendations regarding the use of imaging-related non-invasive technology to diagnose liver fibrosis and steatosis based on the discussion of evidence-based topics by an organizing committee of experts. It was submitted online to all SBH and CBR members. The present document is the final version of the manuscript that supports the use of this new technology as an alternative to liver biopsy.
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A novel technique for automating stiffness measurement and emphasizing the main wave: Coherent-wave auto-selection (CHASE). Magn Reson Imaging 2021; 85:133-140. [PMID: 34687851 DOI: 10.1016/j.mri.2021.10.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/17/2021] [Accepted: 10/17/2021] [Indexed: 11/20/2022]
Abstract
This study aims to develop and assess a new automated processing technique in MR elastography (MRE), namely coherent-wave auto-selection (CHASE). CHASE enables automatic selection of the region of interest (ROI) for stiffness measurement by extraction of the coherent wave region (CHASE ROI), and it improves the reconstruction of stiffness by a directional filter oriented along the main wave in each pixel (CHASE filtering). In this study, MRE of a phantom and of the liver of four healthy volunteers was performed. To investigate the potential of CHASE, this study assessed the CHASE according to three indices through the phantom study: 1) agreement on the ROI settings between CHASE and expert observers, 2) noise dependency, and 3) effect of the CHASE on stiffness variability within the CHASE ROI. The agreements on the ROI settings were analyzed by Cohen's kappa coefficient (κ). The noise dependency was analyzed by the mean absolute percentage errors (MAPEs) within the ROI between low (20%-80% amplitudes) and high vibration amplitudes (100% amplitude). The stiffness variability was assessed by standard deviation (SD) within the ROI. In the volunteer study, agreements on the ROI settings (or stiffness value) and stiffness variability within the CHASE ROI were assessed using κ-value (or intraclass correlation coefficient: ICC) and coefficient of variation, respectively. The results showed close agreement on the ROI settings and stiffness (κ-value: greater than 0.61 in both the phantom and volunteer studies, ICC: 0.97 in the volunteer study). The MAPEs within the CHASE ROI were much smaller than those in the whole region of the phantom (CHASE ROI vs. the whole region at 20% amplitude: 10.3% vs. 50.8%). Moreover, in both the phantom and volunteer studies, the stiffness variation within the CHASE ROI was smaller in the elastogram processed with CHASE filtering than in the unprocessed one. Our results demonstrated that the CHASE has high robustness against noise and the potential to provide ROI settings for stiffness measurement comparable to expert observers, as well as improve the reconstruction of stiffness.
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Liu W, Rong D, Zhu J, Xiao Y, Zhang L, Deng Y, Chen J, Yin M, Venkatesh SK, Ehman RL, Wang J. Diagnostic accuracy of 3D magnetic resonance elastography for assessing histologic grade of hepatocellular carcinoma: comparison of three methods for positioning region of interest. Abdom Radiol (NY) 2021; 46:4601-4609. [PMID: 34085091 DOI: 10.1007/s00261-021-03150-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To assess the influence of region of interest (ROI) placement on the predictive value of 3D MRE in differentiating the histologic grade of HCC. METHODS 85 patients with pathologically confirmed HCCs were analyzed using 3D MRE imaging, two radiologists measured the tumor stiffness with three different ROI positioning methods. Intraclass correlation coefficient (ICC) was expressed in terms of inter- and intra-observer agreements. Kruskal-Wallis rank test or one-way ANOVA was used to compare the difference in MRE stiffness across the three-ROI positioning methods. Receiver operating characteristic curve analysis (ROC) was performed, and the area under curve (AUC) was measured to evaluate the diagnostic performance. RESULTS There were 64 (75%) well-or-moderately differentiated HCCs and 21(25%) poorly differentiated HCCs included finally. Almost excellent inter- and intra-observer agreements (all ICC > 0.82) were observed for all three-ROI methods, the volumetric method has the highest values (inter-observer ICC 0.967, intra-observer ICC 0.919, 0.926, respectively). The mean stiffnesses of poorly differentiated HCC obtained by two readers were significantly higher than well-or-moderately differentiated HCC with volumetric method (7.07 ± 1.57 Kpa, 5.00 ± 1.49 Kpa, and 6.85 ± 1.49 Kpa, 4.94 ± 1.48 Kpa, respectively) and three-ROI method (6.14 ± 1.71 Kpa, 4.91 ± 1.56 Kpa and 5.94 ± 1.61 Kpa, 4.84 ± 1.54 Kpa, respectively) but not on single-ROI method (p > 0.005), for the diagnostic performance, the highest area under the curve (AUC) with a value of 0.837, 0.812 by using the volumetric method, followed by the three-ROI method (0.713, 0.754) and single-ROI method. CONCLUSION Different ROI positioning methods significantly affect HCC tumor stiffness measurements. The whole tumor volumetric analysis is superior to ROI-based methods for predicting the grade of HCC.
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Affiliation(s)
- Weimin Liu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Dailin Rong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Jie Zhu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Yuanqiang Xiao
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Linqi Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Ying Deng
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China
| | - Jun Chen
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University (SYSU), Tianhe Road, No 600, Guangzhou, Guangdong, 510630, People's Republic Of China.
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Kang SH, Lee HW, Yoo JJ, Cho Y, Kim SU, Lee TH, Jang BK, Kim SG, Ahn SB, Kim H, Jun DW, Choi JI, Song DS, Kim W, Jeong SW, Kim MY, Koh H, Jeong S, Lee JW, Cho YK. KASL clinical practice guidelines: Management of nonalcoholic fatty liver disease. Clin Mol Hepatol 2021; 27:363-401. [PMID: 34154309 PMCID: PMC8273632 DOI: 10.3350/cmh.2021.0178] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- Seong Hee Kang
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Hye Won Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul Korea
| | - Jeong-Ju Yoo
- Department of Internal Medicine, SoonChunHyang University Bucheon Hospital, Bucheon, Korea
| | - Yuri Cho
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul Korea
| | - Tae Hee Lee
- Department of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea
| | - Byoung Kuk Jang
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang Gyune Kim
- Department of Internal Medicine, SoonChunHyang University Bucheon Hospital, Bucheon, Korea
| | - Sang Bong Ahn
- Department of Internal Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Haeryoung Kim
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Joon-Il Choi
- Department of Radiology, Seoul St.Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Do Seon Song
- Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Won Kim
- Department of Internal Medicine, Seoul Metropolitan Government Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Soung Won Jeong
- Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Moon Young Kim
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Hong Koh
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Yonsei University College of Medicine, Severance Children's Hospital, Seoul, Korea
| | - Sujin Jeong
- Division of Pediatric Gastroenterology Hepatology and Nutrition, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Jin-Woo Lee
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Yong Kyun Cho
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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Joshi A, Muthe MM, Firke V, Badgujar H. Preliminary experience with 3T magnetic resonance elastography imaging of the liver. SA J Radiol 2021; 25:2072. [PMID: 34192073 PMCID: PMC8182447 DOI: 10.4102/sajr.v25i1.2072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/10/2021] [Indexed: 11/06/2022] Open
Abstract
Background Magnetic resonance elastography (MRE) is a promising non-invasive technique for the identification and quantification of hepatic fibrosis. This manuscript describes our early experience with MRE for the assessment of the presence and staging of liver fibrosis on a 3T magnetic resonance imaging (MRI) system. Objectives The purpose of this study was to describe the MRE physics, procedure, interpretation and drawbacks, along with a few recommendations as per our experience. Method Magnetic resonance elastography was performed on 85 patients with a 3T MRI and the images were analysed both qualitatively and quantitatively. Liver stiffness was assessed by drawing freehand geographic regions of interest on the elastograms to cover the maximum portion of the hepatic parenchyma within the 95% confidence maps on each slice. Correlation with histopathology was performed whenever available. Results Of the 80 patients who met the inclusion criteria, 41 patients displayed a normal liver stiffness measurement (LSM) and 39 patients had a raised LSM. In the patients who had a raised LSM, 14 patients had Stage I–II fibrosis, 8 patients had Stage II–III fibrosis, 6 patients had Stage III–IV fibrosis, 4 patients had Stage IV fibrosis or cirrhosis and 7 patients had non-alcoholic steatohepatitis. The mean thickness of the waves increased with increasing stages of fibrosis. The waves became gradually darker medially in patients with normal LSM as compared to the patients with raised LSM. Histopathology with METAVIR scoring was available in 46 patients, which agreed with the MRE findings in all except two patients. Conclusion Magnetic resonance elastography is a suitable non-invasive modality for the identification and quantification of hepatic fibrosis.
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Affiliation(s)
- Anagha Joshi
- Department of Radiology, Lokmanya Tilak Municipal Medical College, Lokmanya Tilak Municipal General Hospital, Mumbai, India
| | - Mridula M Muthe
- Department of Radiology, Lokmanya Tilak Municipal Medical College, Lokmanya Tilak Municipal General Hospital, Mumbai, India
| | - Vikrant Firke
- Department of Radiology, Lokmanya Tilak Municipal Medical College, Lokmanya Tilak Municipal General Hospital, Mumbai, India
| | - Harshal Badgujar
- Department of Radiology, Lokmanya Tilak Municipal Medical College, Lokmanya Tilak Municipal General Hospital, Mumbai, India
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Dzyubak B, Li J, Chen J, Mara KC, Therneau TM, Venkatesh SK, Ehman RL, Allen AM, Yin M. Automated Analysis of Multiparametric Magnetic Resonance Imaging/Magnetic Resonance Elastography Exams for Prediction of Nonalcoholic Steatohepatitis. J Magn Reson Imaging 2021; 54:122-131. [PMID: 33586159 DOI: 10.1002/jmri.27549] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/18/2021] [Accepted: 01/21/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) affects 25% of the global population. The standard of diagnosis, biopsy, is invasive and affected by sampling error and inter-reader variability. We hypothesized that widely available rapid MRI techniques could be used to predict nonalcoholic steatohepatitis (NASH) noninvasively by measuring liver stiffness, with magnetic resonance elastography (MRE), and liver fat, with chemical shift-encoded (CSE) MRI. Besides, we validate an automated image analysis technique to maximize the utility of these methods. PURPOSE To implement and test an automated system for analyzing CSE-MRI and MRE data coupled with model-based prediction of NASH. STUDY TYPE Prospective. SUBJECTS Eighty-three patients with suspected NAFLD. FIELD STRENGTH/SEQUENCE A 1.5 T using a flow-compensated motion-encoded gradient echo MRE sequence and a multiecho CSE-MRI sequence. ASSESSMENTS The MRE and CSE-MRI data were analyzed by two readers (5+ and 1 years of experience) and an automated algorithm. A logistic regression model to predict pathology-diagnosed NASH was trained based on stiffness and proton density fat fraction, and the area under the receiver operating characteristic curve (AUROC) was calculated using 10-fold cross validation for models based on both automated and manual measurements. A separate model was trained to predict the NASH severity score (NAS). STATISTICAL TESTS Pearson's correlation, Bland-Altman, AUROC, C-statistic. RESULTS The agreement between automated measurements and the more experienced reader (R2 = 0.87 for stiffness and R2 = 0.99 for proton density fat fraction [PDFF]) was slightly better than the agreement between readers (R2 = 0.85 and 0.98). The model for predicting biopsy-diagnosed NASH had an AUROC of 0.87. The NAS-prediction model had a C-statistic of 0.85. DATA CONCLUSION We demonstrated a workflow that used a limited MRI acquisition protocol and fully automated analysis to predict NASH with high accuracy. These methods show promise to provide a reliable noninvasive alternative to biopsy for NASH-screening in populations with NAFLD. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
| | - Jiahui Li
- Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Jie Chen
- Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | | | | | - Alina M Allen
- GI and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Meng Yin
- Radiology, Mayo Clinic, Rochester, Minnesota, USA
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T1ρ magnetic resonance imaging value as a potential marker to assess the severity of liver fibrosis: A pilot study. Eur J Radiol Open 2021; 8:100321. [PMID: 33490312 PMCID: PMC7806785 DOI: 10.1016/j.ejro.2021.100321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/24/2020] [Accepted: 12/30/2020] [Indexed: 12/24/2022] Open
Abstract
Purpose Assessment of liver fibrosis is essential for the management of liver disease. Although liver biopsy is the gold-standard modality for the diagnosis of liver fibrosis, it has some limitations. Thus, other methods are required to overcome the disadvantages of a liver biopsy. T1ρ magnetic resonance imaging (MRI) values are potential biomarkers for liver cirrhosis. This study aimed to assess the relationship between T1ρ MRI values and liver fibrosis severity by measuring the correlation between T1ρ values and shear wave elastography (SWE) values, which are routinely used for the diagnosis of liver fibrosis. Methods T1ρ imaging and SWE values were obtained from four healthy volunteers and 16 patients with chronic liver disease. The regions of interest on MR images were drawn and matched with those of the right liver lobe on SWE images. Results The mean T1ρ values of the right liver lobe correlated positively with the mean SWE values (Pearson’s correlation coefficient: 0.783; p < 0.0001; 95 % confidence interval: 0.623–0.880). Conclusion The mean T1ρ values of the right liver lobe may be correlated with the severity of liver fibrosis.
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MR elastography of liver: current status and future perspectives. Abdom Radiol (NY) 2020; 45:3444-3462. [PMID: 32705312 DOI: 10.1007/s00261-020-02656-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 02/08/2023]
Abstract
Non-invasive evaluation of liver fibrosis has evolved over the last couple of decades. Currently, elastography techniques are the most widely used non-invasive methods for clinical evaluation of chronic liver disease (CLD). MR elastography (MRE) of the liver has been used in the clinical practice for nearly a decade and continues to be widely accepted for detection and staging of liver fibrosis. With MRE, one can directly visualize propagating shear waves through the liver and an inversion algorithm in the scanner automatically converts the shear wave properties into an elastogram (stiffness map) on which liver stiffness can be calculated. The commonly used MRE method, two-dimensional gradient recalled echo (2D-GRE) sequence has produced excellent results in the evaluation of liver fibrosis in CLD from various etiologies and newer clinical indications continue to emerge. Advances in MRE technique, including 3D MRE, automated liver elasticity calculation, improvements in shear wave delivery and patient experience, are promising to provide a faster and more reliable MRE of liver. Innovations, including evaluation of mechanical parameters, such as loss modulus, displacement, and volumetric strain, are promising for comprehensive evaluation of CLD as well as understanding pathophysiology, and in differentiating various etiologies of CLD. In this review, the current status of the MRE of liver in CLD are outlined and followed by a brief description of advanced techniques and innovations in MRE of liver.
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20
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Imajo K, Honda Y, Yoneda M, Saito S, Nakajima A. Magnetic resonance imaging for the assessment of pathological hepatic findings in nonalcoholic fatty liver disease. J Med Ultrason (2001) 2020; 47:535-548. [PMID: 33108553 DOI: 10.1007/s10396-020-01059-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 09/25/2020] [Indexed: 02/06/2023]
Abstract
The prevalence of nonalcoholic fatty liver disease (NAFLD) is expected to increase because of the current epidemics of obesity and diabetes, and NAFLD has become a major cause of chronic liver disease worldwide. Liver fibrosis is associated with poor long-term outcomes in patients with NAFLD. Additionally, increased mortality and liver-related complications are primarily seen in patients with nonalcoholic steatohepatitis (NASH); however, nonalcoholic fatty liver (NAFL) is believed to be benign and non-progressive. Therefore, distinguishing between NASH and NAFL is clinically important. Liver biopsy is the gold standard method for the staging of liver fibrosis and distinguishing between NASH and NAFL. Unfortunately, liver biopsy is an invasive and expensive procedure. Therefore, noninvasive methods, to replace biopsy, are urgently needed for the staging of liver fibrosis and diagnosing NASH. In this review, we discuss the recent studies on magnetic resonance imaging (MRI), including magnetic resonance elastography, proton density fat fraction measurement, and multiparametric MRI (mpMRI) that can be used in the assessment of NASH components such as liver fibrosis, steatosis, and liver injury including inflammation and ballooning.
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Affiliation(s)
- Kento Imajo
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Yasushi Honda
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Masato Yoneda
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Satoru Saito
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan.
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Abstract
There are >1.5 billion people with chronic liver disease worldwide, causing liver diseases to be a significant global health issue. Diffuse parenchymal liver diseases, including hepatic steatosis, fibrosis, metabolic diseases, and hepatitis cause chronic liver injury and may progress to fibrosis and eventually hepatocellular carcinoma. As early diagnosis and treatment of these diseases impact the progression and outcome, the need for assessment of the liver parenchyma has increased. While the current gold standard for evaluation of the hepatic parenchymal tissue, biopsy has disadvantages and limitations. Consequently, noninvasive methods have been developed based on serum biomarkers and imaging techniques. Conventional imaging modalities such as ultrasound, computed tomography scan, and magnetic resonance imaging provide noninvasive options for assessment of liver tissue. However, several recent advances in liver imaging techniques have been introduced. This review article focuses on the current status of imaging methods for diffuse parenchymal liver diseases assessment including their diagnostic accuracy, advantages and disadvantages, and comparison between different techniques.
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Elastography Techniques for the Assessment of Liver Fibrosis in Non-Alcoholic Fatty Liver Disease. Int J Mol Sci 2020; 21:ijms21114039. [PMID: 32516937 PMCID: PMC7313067 DOI: 10.3390/ijms21114039] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/26/2020] [Accepted: 06/03/2020] [Indexed: 12/12/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is expected to increase in prevalence because of the ongoing epidemics of obesity and diabetes, and it has become a major cause of chronic liver disease worldwide. Liver fibrosis is associated with long-term outcomes in patients with NAFLD. Liver biopsy is recommended as the gold standard method for the staging of liver fibrosis. However, it has several problems. Therefore, simple and noninvasive methods for the diagnosis and staging of liver fibrosis are urgently needed in place of biopsy. This review discusses recent studies of elastography techniques (vibration-controlled transient elastography, point shear wave elastography, two-dimensional shear wave elastography, and magnetic resonance elastography) that can be used for the assessment of liver fibrosis in patients with NAFLD.
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Eaton JE, Sen A, Hoodeshenas S, Schleck CD, Harmsen WS, Gores GJ, LaRusso NF, Gossard AA, Lazaridis KN, Venkatesh SK. Changes in Liver Stiffness, Measured by Magnetic Resonance Elastography, Associated With Hepatic Decompensation in Patients With Primary Sclerosing Cholangitis. Clin Gastroenterol Hepatol 2020; 18:1576-1583.e1. [PMID: 31683058 PMCID: PMC7887700 DOI: 10.1016/j.cgh.2019.10.041] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 10/10/2019] [Accepted: 10/25/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Single measurements of liver stiffness (LS) by magnetic resonance elastography (MRE) have been associated with outcomes of patients with primary sclerosing cholangitis (PSC), but the significance of changes in LS over time are unclear. We investigated associations between changes in LS measurement and progression of PSC. METHODS We performed a retrospective review of 204 patients with patients who underwent 2 MREs at a single center between January 1, 2007 and December 31, 2018. We collected laboratory data and information on revised Mayo PSC risk and model for end-stage liver disease scores, the PSC risk estimate tool, and levels of aspartate transferase at the time of each MRE. The ΔLS/time was determined by the change in LS between the second MRE compared to the first MRE divided by the time between examinations. The primary endpoint was development of hepatic decompensation (ascites, variceal hemorrhage or hepatic encephalopathy). RESULTS The median LS measurement was 2.72 kPa (interquartile range, 2.32-3.44 kPa) and the overall change in LS was 0.05 kPa/y. However, ΔLS/y was 10-fold higher in patients anticipated to have cirrhosis (0.31 kPa/y) compared to patients with no fibrosis (0.03 kPa/y). The median LS increased over time in patients who ultimately developed hepatic decompensation (0.60 kPa/y; interquartile range, 0.21-1.26 kPa/y) vs but remained static in patients who did not (reduction of 0.04/y; interquartile range, reductions of 0.26 to 0.17 kPa/y) (P < .001). The ΔLS/y value associated with the highest risk of hepatic decompensation was Δ0.34 kPa/y (hazard ratio [HR], 13.29; 95% CI, 0.23-33.78). After we adjusted for baseline LS and other risk factors, including serum level of alkaline phosphatase and the Mayo PSC risk score, ΔLS/y continued to be associated with hepatic decompensation. The optimal single LS cut-off associated with the hepatic decompensation was 4.32 kPa (HR, 60.41; 95% CI, 17.85-204.47). A combination of both cut-off values was associated with risk of hepatic decompensation (concordance score, 0.93; 95% CI, 0.88-0.98) CONCLUSIONS: A single LS measurement and changes in LS over time are independently associated with hepatic decompensation in patients with PSC. However, changes in LS occur slowly in patients without advanced fibrosis or hepatic decompensation.
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Affiliation(s)
- John E. Eaton
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Aditi Sen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | | | - Cathy D. Schleck
- Division of Biomedical Statistics and Informatics Mayo Clinic, Rochester, Minnesota
| | - William S. Harmsen
- Division of Biomedical Statistics and Informatics Mayo Clinic, Rochester, Minnesota
| | - Gregory J. Gores
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Nicholas F. LaRusso
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Andrea A. Gossard
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
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Kim HJ, Kim B, Yu HJ, Huh J, Lee JH, Lee SS, Kim KW, Kim JK. Reproducibility of hepatic MR elastography across field strengths, pulse sequences, scan intervals, and readers. Abdom Radiol (NY) 2020; 45:107-115. [PMID: 31720766 DOI: 10.1007/s00261-019-02312-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE To evaluate the reproducibility of hepatic MRE under various combinations of settings of field strength, pulse sequence, scan interval, and reader in non-alcoholic fatty liver disease (NAFLD) patients. METHODS Adult NAFLD patients were prospectively enrolled for serial hepatic MRE with 1.5 T using 2D GRE sequence and 3.0 T using 2D SE-EPI sequence on the same day and after 2 weeks, resulting a total of four MRE examinations per patient. Three readers with various levels of background knowledge in MRE technique and liver anatomy measured liver stiffness after a training session. Linear regression, Bland-Altman analysis, within-subject coefficient of variation, and reproducibility coefficient (RDC) were used to determine reproducibility of hepatic MRE measurement. RESULTS Twenty patients completed the MRE sessions. Liver stiffness through MRE showed pooled RDC of 26% (upper 95% CI 30.6%) and corresponding limits of agreement (LOA) within 0.55 kPa across field strengths, MRE sequences, and 2-week interscan interval in three readers. Small mean biases and narrow LOA were observed among readers (0.05-0.19 kPa ± 0.53). CONCLUSION The magnitude of change across combinations of scan parameters is within acceptable clinical range, rendering liver stiffness through MRE a reproducible quantitative imaging biomarker. A lower reproducibility was observed for measurements under different field strengths/MRE sequences at a longer (2 weeks) interscan interval. Operators should be trained to acquire region of interest consistently in repeat examinations.
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Affiliation(s)
- Hye Jin Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea
| | - Bohyun Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea.
| | - Hyun Jeong Yu
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea
| | - Jimi Huh
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea
| | - Jei Hee Lee
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea
| | - Seung Soo Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Jai Keun Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, 164 World cup-ro, Yeongtong-gu, Suwon, 16499, South Korea
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25
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Zhang YN, Fowler KJ, Ozturk A, Potu CK, Louie AL, Montes V, Henderson WC, Wang K, Andre MP, Samir AE, Sirlin CB. Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography. J Magn Reson Imaging 2020; 51:25-42. [PMID: 30859677 PMCID: PMC6742585 DOI: 10.1002/jmri.26716] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 02/26/2019] [Accepted: 02/26/2019] [Indexed: 12/13/2022] Open
Abstract
Liver fibrosis is a histological hallmark of most chronic liver diseases, which can progress to cirrhosis and liver failure, and predisposes to hepatocellular carcinoma. Accurate diagnosis of liver fibrosis is necessary for prognosis, risk stratification, and treatment decision-making. Liver biopsy, the reference standard for assessing liver fibrosis, is invasive, costly, and impractical for surveillance and treatment response monitoring. Elastography offers a noninvasive, objective, and quantitative alternative to liver biopsy. This article discusses the need for noninvasive assessment of liver fibrosis and reviews the comparative advantages and limitations of ultrasound and magnetic resonance elastography techniques with respect to their basic concepts, acquisition, processing, and diagnostic performance. Variations in clinical contexts of use and common pitfalls associated with each technique are considered. In addition, current challenges and future directions to improve the diagnostic accuracy and clinical utility of elastography techniques are discussed. Level of Evidence: 5 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:25-42.
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Affiliation(s)
- Yingzhen N. Zhang
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Kathryn J. Fowler
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Arinc Ozturk
- Department of Radiology, Center for Ultrasound Research & Translation, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Chetan K. Potu
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Ashley L. Louie
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Vivian Montes
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Walter C. Henderson
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Kang Wang
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
| | - Michael P. Andre
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
| | - Anthony E. Samir
- Department of Radiology, Center for Ultrasound Research & Translation, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Claude B. Sirlin
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, California, USA
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Saito S. [7. Reproducibility of Liver Magnetic Resonance Elastography (MRE) Measurement and Its Affecting Factors]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2019; 75:1484-1490. [PMID: 31866649 DOI: 10.6009/jjrt.2019_jsrt_75.12.1484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Shigeyoshi Saito
- Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine.,Department of Biomedical Imaging, National Cardiovascular and Cerebral Research Center
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Hoodeshenas S, Welle CL, Navin PJ, Dzyubak B, Eaton JE, Ehman RL, Venkatesh SK. Magnetic Resonance Elastography in Primary Sclerosing Cholangitis: Interobserver Agreement for Liver Stiffness Measurement with Manual and Automated Methods. Acad Radiol 2019; 26:1625-1632. [PMID: 30878345 DOI: 10.1016/j.acra.2019.02.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 02/04/2019] [Accepted: 02/05/2019] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVE Primary sclerosing cholangitis, a chronic liver disease causes heterogeneous parenchymal changes and fibrosis. Liver stiffness measurement (LSM) with magnetic resonance Elastography (MRE) may be affected by this heterogeneous distribution. We evaluated interobserver agreement of LSM in primary sclerosing cholangitis (PSC) with manual and automated methods to study the influence of heterogeneous changes. MATERIALS AND METHODS A total of 79 consecutive patients with PSC who had a liver MRI and MRE formed the study group. Three readers with 1-3 years' experience in MRE and a MRE expert (11 years' experience) independently performed LSM. Each reader manually drew free hand (fROI) and average (aROI) on stiffness maps. Automatic liver elasticity calculation (ALEC) was used to generate automated LSM. The expert fROI was the reference standard. Correlation analysis and absolute intra-class correlation coefficient (ICC) analysis was performed. RESULTS LSM data of 79 livers and 315 sections were evaluated. There was excellent ICC between expert and reader fROIs (0.989, 95% confidence interval, and 0.985-0.993) and aROIs (0.971, 95% confidence interval, and 0.953-0.983) and ALEC (0.972, 0.957-0.982) with fROI performing better. The areas measured with fROIs and ALEC had moderate ICC with Expert fROI (0.64 and 0.56, respectively) whereas aROI area had a poor ICC of 0.12. Comparison of multiple methods showed significant differences in LSM between expert fROI and aROI of two readers and no significant differences for fROIs of all three readers. CONCLUSION LSM with MRE in PSC patients shows excellent interobserver agreement with both fROI and aROI methods with better performance with fROI. fROI may therefore be preferred for LSM measurements in PSC.
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Affiliation(s)
- Safa Hoodeshenas
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Christopher L Welle
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Patrick J Navin
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Bogdan Dzyubak
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - John E Eaton
- Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
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Allen AM, Shah VH, Therneau TM, Venkatesh SK, Mounajjed T, Larson JJ, Mara KC, Kellogg TA, Kendrick ML, McKenzie TJ, Greiner SM, Li J, Glaser KJ, Wells ML, Gunneson TJ, Ehman RL, Yin M. Multiparametric Magnetic Resonance Elastography Improves the Detection of NASH Regression Following Bariatric Surgery. Hepatol Commun 2019; 4:185-192. [PMID: 32025604 PMCID: PMC6996337 DOI: 10.1002/hep4.1446] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/04/2019] [Indexed: 12/30/2022] Open
Abstract
Disease monitoring in nonalcoholic steatohepatitis (NASH) is limited by absence of noninvasive biomarkers of disease regression or progression. We aimed to examine the role of multiparametric three-dimensional magnetic resonance elastography (3D-MRE) and magnetic resonance imaging proton density fat fraction (MRI-PDFF) in the detection of NASH regression after interventions. This is a single-center prospective clinical trial of 40 patients who underwent bariatric surgery. Imaging and liver biopsies were obtained at baseline and 1 year after surgery. The imaging protocol consisted of multifrequency 3D-MRE to determine the shear stiffness at 60 Hz and damping ratio at 40 Hz, and MRI-PDFF to measure the fat fraction. A logistic regression model including these three parameters was previously found to correlate with NASH. We assessed the model performance in the detection of NASH resolution after surgery by comparing the image-predicted change in NAFLD activity score (delta NAS) to the histologic changes. A total of 38 patients (median age 43, 87% female, 30 of 38 with NAS ≥ 1, and 13 of 38 with NASH) had complete data at 1 year. The NAS decreased in all subjects with NAS ≥ 1 at index biopsy, and NASH resolved in all 13. There was a strong correlation between the predicted delta NAS by imaging and the delta NAS by histology (r = 0.73, P < 0.001). The strength of correlation between histology and the predicted delta NAS using single conventional parameters, such as the fat fraction by MRI-PDFF or shear stiffness at 60 Hz by MRE, was r = 0.69 (P < 0.001) and r = 0.43 (P = 0.009), respectively. Conclusion: Multiparametric 3D-MRE and MRI-PDFF can detect histologic changes of NASH resolution after bariatric surgery. Studies in a nonbariatric setting are needed to confirm the performance as a composite noninvasive biomarker for longitudinal NASH monitoring.
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Affiliation(s)
- Alina M. Allen
- Division of Gastroenterology and HepatologyMayo ClinicRochesterMN
| | - Vijay H. Shah
- Division of Gastroenterology and HepatologyMayo ClinicRochesterMN
| | - Terry M. Therneau
- Department of Biomedical Statistics and InformaticsMayo ClinicRochesterMN
| | | | | | - Joseph J. Larson
- Department of Biomedical Statistics and InformaticsMayo ClinicRochesterMN
| | - Kristin C. Mara
- Department of Biomedical Statistics and InformaticsMayo ClinicRochesterMN
| | | | | | | | | | - Jiahui Li
- Department of RadiologyMayo ClinicRochesterMN
| | | | | | | | | | - Meng Yin
- Department of RadiologyMayo ClinicRochesterMN
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Keenan KE, Biller JR, Delfino JG, Boss MA, Does MD, Evelhoch JL, Griswold MA, Gunter JL, Hinks RS, Hoffman SW, Kim G, Lattanzi R, Li X, Marinelli L, Metzger GJ, Mukherjee P, Nordstrom RJ, Peskin AP, Perez E, Russek SE, Sahiner B, Serkova N, Shukla-Dave A, Steckner M, Stupic KF, Wilmes LJ, Wu HH, Zhang H, Jackson EF, Sullivan DC. Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs. J Magn Reson Imaging 2019; 49:e26-e39. [PMID: 30680836 PMCID: PMC6663309 DOI: 10.1002/jmri.26598] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 11/16/2018] [Accepted: 11/16/2018] [Indexed: 12/12/2022] Open
Abstract
LEVEL OF EVIDENCE 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2019.
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Affiliation(s)
- Kathryn E Keenan
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Joshua R Biller
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Jana G Delfino
- Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Michael A Boss
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
- Department of Physics, University of Colorado, Boulder, Colorado, USA
| | - Mark D Does
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA
| | | | - Mark A Griswold
- Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jeffrey L Gunter
- Departments of Radiology and Information Technology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Stuart W Hoffman
- Rehabilitation Research and Development Service, Department of Veterans Affairs, Washington, DC, USA
| | - Geena Kim
- College of Computer & Information Sciences, Regis University, Denver, Colorado, USA
| | - Riccardo Lattanzi
- Department of Radiology, New York University School of Medicine, New York, New York, USA
| | - Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, Ohio, USA
| | | | - Gregory J Metzger
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Pratik Mukherjee
- Department of Radiology, University of California San Francisco, San Francisco, California, USA
| | | | - Adele P Peskin
- Information Technology Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | | | - Stephen E Russek
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Berkman Sahiner
- Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Natalie Serkova
- Department of Radiology, Anschutz Medical Center, Aurora, Colorado, USA
| | - Amita Shukla-Dave
- Departments of Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | - Karl F Stupic
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Lisa J Wilmes
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Holden H Wu
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | | | - Edward F Jackson
- Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Daniel C Sullivan
- Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA
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Yin Z, Murphy MC, Li J, Glaser KJ, Mauer AS, Mounajjed T, Therneau TM, Liu H, Malhi H, Manduca A, Ehman RL, Yin M. Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography. Eur Radiol 2019; 29:5823-5831. [PMID: 30887196 DOI: 10.1007/s00330-019-06076-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/17/2019] [Accepted: 02/06/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To investigate the use of MR elastography (MRE)-derived mechanical properties (shear stiffness (|G*|) and loss modulus (G″)) and MRI-derived fat fraction (FF) to predict the nonalcoholic fatty liver disease (NAFLD) activity score (NAS) in a NAFLD mouse model. METHODS Eighty-nine male mice were studied, including 64 training and 25 independent testing animals. An MRI/MRE exam and histologic evaluation were performed. Pairwise, nonparametric comparisons and multivariate analyses were used to evaluate the relationships between the three imaging parameters (FF, |G*|, and G″) and histologic features. A virtual NAS score (vNAS) was generated by combining three imaging parameters with an ordinal logistic model (OLM) and a generalized linear model (GLM). The prediction accuracy was evaluated by ROC analyses. RESULTS The combination of FF, |G*|, and G″ predicted NAS > 1 with excellent accuracy in both training and testing sets (AUROC > 0.84). OLM and GLM predictive models misclassified 3/54 and 6/54 mice in the training, and 1/25 and 1/25 in the testing cohort respectively, in distinguishing between "not-NASH" and "definite-NASH." "Borderline-NASH" prediction was poorer in the training set, and no borderline-NASH mice were available in the testing set. CONCLUSION This preliminary study shows that multiparametric MRI/MRE can be used to accurately predict the NAS score in a NAFLD animal model, representing a promising alternative to liver biopsy for assessing NASH severity and treatment response. KEY POINTS • MRE-derived liver stiffness and loss modulus and MRI-assessed fat fraction can be used to predict NAFLD activity score (NAS) in our preclinical mouse model (AUROC > 0.84 for all NAS levels greater than 1). • The overall agreement between the histological-determined NASH diagnosis and the imaging-predicted NASH diagnosis is 80-92%. • The multiparametric hepatic MRI/MRE has great potential for noninvasively assessing liver disease severity and treatment efficacy.
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Affiliation(s)
- Ziying Yin
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Matthew C Murphy
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Amy S Mauer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | | | - Terry M Therneau
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Heshan Liu
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Harmeet Malhi
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Armando Manduca
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.,Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
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Selvaraj EA, Culver EL, Bungay H, Bailey A, Chapman RW, Pavlides M. Evolving role of magnetic resonance techniques in primary sclerosing cholangitis. World J Gastroenterol 2019; 25:644-658. [PMID: 30783369 PMCID: PMC6378540 DOI: 10.3748/wjg.v25.i6.644] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/25/2019] [Accepted: 01/28/2019] [Indexed: 02/06/2023] Open
Abstract
Development of non-invasive methods to risk-stratify patients and predict clinical endpoints have been identified as one of the key research priorities in primary sclerosing cholangitis (PSC). In addition to serum and histological biomarkers, there has been much recent interest in developing imaging biomarkers that can predict disease course and clinical outcomes in PSC. Magnetic resonance imaging/magnetic resonance cholangiopancreatography (MRI/MRCP) continue to play a central role in the diagnosis and follow-up of PSC patients. Magnetic resonance (MR) techniques have undergone significant advancement over the last three decades both in MR data acquisition and interpretation. The progression from a qualitative to quantitative approach in MR acquisition techniques and data interpretation, offers the opportunity for the development of objective and reproducible imaging biomarkers that can potentially be incorporated as an additional endpoint in clinical trials. This review article will discuss how the role of MR techniques have evolved over the last three decades from emerging as an alternative diagnostic tool to endoscopic retrograde cholangiopancreatography, to being instrumental in the ongoing search for imaging biomarker of disease stage, progression and prognosis in PSC.
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Affiliation(s)
- Emmanuel A Selvaraj
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Emma L Culver
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Helen Bungay
- Department of Radiology, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
| | - Adam Bailey
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford OX3 9DU, United Kingdom
| | - Roger W Chapman
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
| | - Michael Pavlides
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford OX3 9DU, United Kingdom
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Do regions of interest location and type influence liver stiffness measurement using magnetic resonance elastography? Diagn Interv Imaging 2019; 100:363-370. [PMID: 30745249 DOI: 10.1016/j.diii.2019.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 01/15/2019] [Accepted: 01/16/2019] [Indexed: 12/18/2022]
Abstract
PURPOSE To assess the variability of liver stiffness measurements using magnetic resonance elastography (MRE) at 1.5T, depending on different approaches of regions of interest (ROIs) drawing. MATERIAL AND METHODS Fifty consecutive patients with successful liver MRE were included. There were 32 men and 18 women with a mean age of 52±14 (SD) years (range: 20-85 years). MRE was acquired using a gradient recalled-echo MRE sequence. At the level of the portal bifurcation, one observer drawn in the right liver first 3 elliptical ROI and then one free-hand ROI, as large as possible based on the confidence map and the anatomy. Three additional elliptical ROIs were further drawn on the slice above and 3 other on the slice below, for a total of 9 elliptical ROIs. The average value of liver stiffness in the 3 elliptical ROIs of the central slice and the one from the 9 elliptical ROIs were computed. Three liver stiffness values were obtained for each patient from the 3 measurement methods (one free-hand ROI, 3 elliptical ROIs and 9 elliptical ROIs). Inter-method variability was assessed using the intra-class correlation coefficient (ICC) and Bland-Altman analysis. RESULTS The variability between the 3 methods was excellent with ICC>0.978 (P<0.0001). The Bland-Altman analysis revealed high agreement between the 3 methods with bias<0.45kPa and limits of agreement<±1.13kPa. The variability was lower when comparing a large free-hand ROI and the 3-elliptical ROIs, than when comparing the 9-elliptical ROIs to one of the other methods. CONCLUSION Our results show that the variability between the 3 methods of ROI drawing and placement is very low.
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Sadeghi S, Lin CY, Cortes DH. Narrowband Shear Wave Generation Using Sinusoidally Modulated Acoustic Radiation Force. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2019; 66:264-272. [PMID: 30530360 DOI: 10.1109/tuffc.2018.2884847] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Most transient ultrasound elastography methods use high-intensity ultrasound "push" pulses that generate a shear wave with a wide frequency spectrum. However, it is difficult to control how the energy of the wave is distributed within that spectrum. For this reason, the shear-wave group velocity may not match that of harmonic methods like magnetic resonance elastography (MRE). The objective of this study was to introduce a narrowband shear wave generation method produced by "push" pulses with sinusoidally modulated intensity. The method, named harmonic shear wave imaging (HSWI), successively transmits a series of push pulses with a periodic change in duration. The excited shear waves form a continuous shear wave with a known main frequency that can be controlled by the user. Push pulses are interleaved with imaging pulses so only one clinical transducer is used to generate and record the shear waves. The proposed method was compared to MRE and a transient shear wave elastography method using phantoms and in vivo measurements. It was found that HSWI produces narrowband waves with a speed that closely matches that measured by MRE. Measurement of the acoustic output parameters indicated that the acoustic intensities in HSWI are suitable for clinical applications. The ability of HSWI to generate narrowband shear waves using a single linear array transducer makes it amenable for clinical translation. HSWI can potentially use the same thresholds as MRE for diagnosis of diseases affecting the stiffness of soft tissues.
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Abstract
The first clinical application of magnetic resonance elastography (MRE) was in the evaluation of chronic liver disease (CLD) for detection and staging of liver fibrosis. In the past 10 years, MRE has been incorporated seamlessly into a standard magnetic resonance imaging (MRI) liver protocol worldwide. Liver MRE is a robust technique for evaluation of liver stiffness and is currently the most accurate noninvasive imaging technology for evaluation of liver fibrosis. Newer MRE sequences including spin-echo MRE and 3 dimensional MRE have helped in reducing the technical limitations of clinical liver MRE that is performed with 2D gradient recalled echo (GRE) MRE. Advances in MRE technology have led to understanding of newer mechanical parameters such as dispersion, attenuation, and viscoelasticity that may be useful in evaluating pathological processes in CLD and may prove useful in their management.This review article will describe the changes in CLD that cause an increase in stiffness followed by principle and technique of liver MRE. In the later part of the review, we will briefly discuss the advances in liver MRE.
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Allen AM, Shah VH, Therneau TM, Venkatesh SK, Mounajjed T, Larson JJ, Mara KC, Schulte PJ, Kellogg TA, Kendrick ML, McKenzie TJ, Greiner SM, Li J, Glaser KJ, Wells ML, Chen J, Ehman RL, Yin M. The Role of Three-Dimensional Magnetic Resonance Elastography in the Diagnosis of Nonalcoholic Steatohepatitis in Obese Patients Undergoing Bariatric Surgery. Hepatology 2018; 71:510-521. [PMID: 30582669 PMCID: PMC6591099 DOI: 10.1002/hep.30483] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 10/29/2018] [Indexed: 12/17/2022]
Abstract
The lack of reliable, noninvasive methods to diagnose early nonalcoholic steatohepatitis (NASH) is a major unmet need. We aimed to determine the diagnostic accuracy of three-dimensional magnetic resonance elastography (3D-MRE), with shear stiffness measured at 60 Hz, damping ratio at 40 Hz, and magnetic resonance imaging proton density fat fraction (MRI-PDFF) in the detection of NASH in individuals undergoing bariatric surgery. Obese adults at risk for NASH were enrolled between 2015 and 2017 (prospective cohort, n = 88) and 2010 and 2013 (retrospective cohort, n = 87). The imaging protocol consisted of multifrequency 3D-MRE (mf3D-MRE) with shear waves delivered at different frequencies to explore parameters that best correlated with histologic NASH, and MRI-PDFF to estimate steatosis. The prospective cohort was used to establish the optimal mf3D-MRE technical parameters for NASH detection. The two cohorts were then combined to derive predictive models of NASH and disease activity by nonalcoholic fatty liver disease activity score (NAS) using the three imaging parameters that correlated with NASH. A total of 175 patients (median age 45, 81% women, and 81 [46%] with histologic NASH) were used for model derivation. From the complex shear modulus output generated by mf3D-MRE, the damping ratio at 40 Hz and shear stiffness at 60 Hz best correlated with NASH. The fat fraction obtained from MRI-PDFF correlated with steatosis (P < 0.05 for all). These three parameters were fit into a logistic regression model that predicted NASH with cross-validated area under the receiver operating characteristic curve (AUROC) = 0.73, sensitivity = 0.67, specificity = 0.80, positive predictive value = 0.73 and negative predictive value = 0.74, and disease activity by NAS with cross-validated AUROC = 0.82. Conclusion: The mf3D-MRE allows identification of imaging parameters that predict early NASH and disease activity. This imaging biomarker represents a promising alternative to liver biopsy for NASH diagnosis and monitoring. The results provide motivation for further studies in nonbariatric cohorts.
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Affiliation(s)
- Alina M. Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Vijay H. Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Terry M. Therneau
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | | | | | - Joseph J. Larson
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | - Kristin C. Mara
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | - Phillip J. Schulte
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
| | | | | | | | | | - Jiahui Li
- Department of Radiology, Mayo Clinic, Rochester, MN
| | | | | | - Jun Chen
- Department of Radiology, Mayo Clinic, Rochester, MN
| | | | - Meng Yin
- Department of Radiology, Mayo Clinic, Rochester, MN
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Sinkus R, Lambert S, Abd-Elmoniem KZ, Morse C, Heller T, Guenthner C, Ghanem AM, Holm S, Gharib AM. Rheological determinants for simultaneous staging of hepatic fibrosis and inflammation in patients with chronic liver disease. NMR IN BIOMEDICINE 2018; 31:e3956. [PMID: 30059174 PMCID: PMC6141320 DOI: 10.1002/nbm.3956] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 05/05/2018] [Accepted: 05/07/2018] [Indexed: 05/12/2023]
Abstract
The purpose of this study is to investigate the use of fundamental rheological parameters as quantified by MR elastography (MRE) to measure liver fibrosis and inflammation simultaneously in humans. MRE was performed on 45 patients at 3 T using a vibration frequency of 56 Hz. Fibrosis and inflammation scores were obtained from liver biopsies. Biomechanical properties were quantified in terms of complex shear modulus G* as well as shear wave phase velocity c and shear wave attenuation α. A rheological fractional derivative order model was used to investigate the linear dependence of the free model parameters (dispersion slope y, intrinsic speed c0 , and intrinsic relaxation time τ) on histopathology. Leave-one-out cross-validation was then utilized to demonstrate the effectiveness of the model. The intrinsic speed c0 increases with hepatic fibrosis, while an increased relaxation time τ is reflective of more inflammation of the liver parenchyma. The dispersion slope y does not depend either on fibrosis or on inflammation. The proposed rheological model, given this specific parameterization, establishes the functional dependences of biomechanical parameters on histological fibrosis and inflammation. The leave-one-out cross-validation demonstrates that the model allows identification, from the MRE measurements, of the histology scores when grouped into low-/high-grade fibrosis and low-/high-grade inflammation with significance levels of P = 0.0004 (fibrosis) and P = 0.035 (inflammation). The functional dependences of intrinsic speed and relaxation time on fibrosis and inflammation, respectively, shed new light onto the impact hepatic pathological changes on liver tissue biomechanics in humans. The dispersion slope y appears to represent a structural parameter of liver parenchyma not impacted by the severity of fibrosis/inflammation present in this patient cohort. This specific parametrization of the well-established rheological fractional order model is valuable for the clinical assessment of both fibrosis and inflammation scores, going beyond the capability of the plain shear modulus measurement commonly used for MRE.
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Affiliation(s)
- Ralph Sinkus
- Inserm U1148, LVTS, University Paris Diderot, University Paris 13, Paris, France
- King's College London, BHF Centre of Excellence, Division of Imaging Sciences and Biomedical Engineering, UK
| | - Simon Lambert
- King's College London, BHF Centre of Excellence, Division of Imaging Sciences and Biomedical Engineering, UK
| | - Khaled Z Abd-Elmoniem
- Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Caryn Morse
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD, USA
| | - Theo Heller
- Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Christian Guenthner
- Institute for Biomedical Engineering, University and ETH, Zurich, Zurich, Switzerland
| | - Ahmed M Ghanem
- Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Sverre Holm
- Department of Informatics, University of Oslo, Norway
| | - Ahmed M Gharib
- Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
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Garteiser P, Doblas S, Van Beers BE. Magnetic resonance elastography of liver and spleen: Methods and applications. NMR IN BIOMEDICINE 2018; 31:e3891. [PMID: 29369503 DOI: 10.1002/nbm.3891] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 11/16/2017] [Accepted: 12/04/2017] [Indexed: 05/06/2023]
Abstract
The viscoelastic properties of the liver and spleen can be assessed with magnetic resonance elastography (MRE). Several actuators, MRI acquisition sequences and reconstruction algorithms have been proposed for this purpose. Reproducible results are obtained, especially when the examination is performed in standard conditions with the patient fasting. Accurate staging of liver fibrosis can be obtained by measuring liver stiffness or elasticity with MRE. Moreover, emerging evidence shows that assessing the tissue viscous parameters with MRE is useful for characterizing liver inflammation, non-alcoholic steatohepatitis, hepatic congestion, portal hypertension, and hepatic tumors. Further advances such as multifrequency acquisitions and compression-sensitive MRE may provide novel quantitative markers of hepatic and splenic mechanical properties that may improve the diagnosis of hepatic and splenic diseases.
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Affiliation(s)
- Philippe Garteiser
- Laboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR 1149 INSERM-University Paris Diderot, Paris, France
| | - Sabrina Doblas
- Laboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR 1149 INSERM-University Paris Diderot, Paris, France
| | - Bernard E Van Beers
- Laboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR 1149 INSERM-University Paris Diderot, Paris, France
- Department of Radiology, Beaujon University Hospital Paris Nord, Clichy, France
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Abstract
PURPOSE OF REVIEW The purpose of this review is to discuss the current imaging techniques for non-invasive assessment of liver fibrosis (LF). RECENT FINDINGS Elastography-based techniques are the most widely used imaging methods for the evaluation of LF. Currently, MR elastography (MRE) is the most accurate non-invasive method for detection and staging of LF. Ultrasound-based vibration-controlled transient elastography (VCTE) is the most widely used as it can be easily performed at the point of care but has technical limitations especially in the obese. Innovations and technical improvements continue to evolve in elastography for improving accuracy and avoiding misinterpretation from confounding factors. Other imaging methods including diffusion-weighted imaging (DWI), hepatocellular contrast-enhanced (HCE) MRI, T1 relaxometry, T1ρ imaging, textural analysis, liver surface nodularity, susceptibility-weighted imaging, and perfusion imaging are promising but need further evaluation and clinical validation. MRE is the most accurate imaging technique for assessment of LF.
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Affiliation(s)
- Rishi Philip Mathew
- Department of Radiology, Mayo Clinic, Mayo Clinic College of Medicine, 200, First Street SW, Rochester, MN, 55905, USA
| | - Sudhakar Kundapur Venkatesh
- Department of Radiology, Mayo Clinic, Mayo Clinic College of Medicine, 200, First Street SW, Rochester, MN, 55905, USA.
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Yamada A, Fujinaga Y, Suzuki T, Komatsu D, Kitoh Y, Iwadate Y, Nozaki A, Ueda K, Kadoya M. Quantitative estimation of progression of chronic liver disease using gadoxetate disodium-enhanced magnetic resonance imaging. Hepatol Res 2018; 48:735-745. [PMID: 29396898 DOI: 10.1111/hepr.13069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 01/15/2018] [Accepted: 01/29/2018] [Indexed: 02/08/2023]
Abstract
AIM The purpose of this study was to determine whether the liver stiffness (LS) measured on magnetic resonance (MR) elastography can be estimated by a combination of gadoxetate disodium-enhanced MR imaging (EOB-MRI) and ordinary blood tests. METHODS We evaluated 33 consecutive patients with suspected liver disease who underwent EOB-MRI using a Differential Subsampling with Cartesian Ordering MR sequence and MR elastography using a 1.5-T MR system in this prospective study. A stepwise multiple linear regression model analysis of LS was performed using various predictive values obtained from two-in-one-uptake, two-compartment model analysis of EOB-MRI (velocity constants of arterial inflow [K1a ], portal venous inflow [K1p ], hepatocellular uptake [Ki ]), and ordinary blood test results (blood platelet count, serum albumin level [ALB], total serum bilirubin level [T-BIL], and prothrombin time [PT%]). RESULTS Multiple linear regression model analysis revealed that hepatic perfusion-uptake index (HPUI = -K1a + K1p + Ki ) (P < 0.0001), albumin-bilirubin linear predictor (ALBI-LP = 0.66 × log10 T-BIL - 0.085 × ALB) (P = 0.034), and blood platelet count (P = 0.046) were significant independent predictors of LS (r = 0.863). The area under receiver operator characteristics curve of multiple linear regression model in prediction of the liver stiffness corresponding to higher (LS > 5.0 kPa) and lower (LS < 4.2 kPa) risk for developing hepatocellular carcinoma were 0.956 and 0.938, respectively. CONCLUSION LS can be estimated quantitatively with the use of HPUI obtained from compartment model analysis of EOB-MRI combined with ALBI-LP and blood platelet count.
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Affiliation(s)
- Akira Yamada
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yasunari Fujinaga
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Takeshi Suzuki
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Daisuke Komatsu
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
| | - Yoshihiro Kitoh
- Division of Radiology, Shinshu University Hospital, Matsumoto, Nagano, Japan
| | | | | | - Kazuhiko Ueda
- Diagnostic Imaging Center, The Canter Institute Hospital of Japanese Foundation for Cancer Research, Matsumoto, Nagano, Japan
| | - Masumi Kadoya
- Department of Radiology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
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Serai SD, Trout AT, Miethke A, Diaz E, Xanthakos SA, Dillman JR. Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis. Pediatr Radiol 2018; 48:1256-1272. [PMID: 30078038 DOI: 10.1007/s00247-018-4083-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 10/21/2017] [Accepted: 01/16/2018] [Indexed: 12/17/2022]
Abstract
Chronic injury to the liver leads to inflammation and hepatocyte necrosis, which when untreated can lead to myofibroblast activation and fibrogenesis with deposition of fibrous tissue. Over time, liver fibrosis can accumulate and lead to cirrhosis and end-stage liver disease with associated portal hypertension and liver failure. Detection and accurate measurement of the severity of liver fibrosis are important for assessing disease severity and progression, directing patient management, and establishing prognosis. Liver biopsy, generally considered the clinical standard of reference for detecting and measuring liver fibrosis, is invasive and has limitations, including sampling error, relatively high cost, and possible complications. For these reasons, liver biopsy is suboptimal for fibrosis screening, longitudinal monitoring, and assessing therapeutic efficacy. A variety of established and emerging qualitative and quantitative noninvasive MRI methods for detecting and staging liver fibrosis might ultimately serve these purposes. In this article, we review multiple MRI methods for detecting and measuring liver fibrosis and discuss the diagnostic performance and specific strengths and limitations of the various techniques.
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Affiliation(s)
- Suraj D Serai
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA. .,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Andrew T Trout
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Alexander Miethke
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Eric Diaz
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Stavra A Xanthakos
- Department of Pediatrics, Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jonathan R Dillman
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
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Abstract
Liver stiffness is now a well-established noninvasive biomarker for assessing fibrosis in chronic liver disease. MRI-based and ultrasound-based dynamic elastography techniques have been introduced for assessment of liver stiffness and useful in clinical staging of hepatic fibrosis. Several different elastography techniques are now available with each method having inherent strengths and limitations. The published literature generally indicates that MR elastography has a higher diagnostic performance and fewer technical failures than ultrasound-based elastography techniques in assessing hepatic fibrosis. There is also significant potential to further develop elastography techniques to implement multiparametric methods that have promise for distinguishing between processes such as inflammation, fibrosis, venous congestion, and portal hypertension that can result in increased liver stiffness. In this commentary, we compare MR and ultrasound elastography methods and their utility in clinical practice.
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Kennedy P, Wagner M, Castéra L, Hong CW, Johnson CL, Sirlin CB, Taouli B. Quantitative Elastography Methods in Liver Disease: Current Evidence and Future Directions. Radiology 2018; 286:738-763. [PMID: 29461949 DOI: 10.1148/radiol.2018170601] [Citation(s) in RCA: 186] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Chronic liver diseases often result in the development of liver fibrosis and ultimately, cirrhosis. Treatment strategies and prognosis differ greatly depending on the severity of liver fibrosis, thus liver fibrosis staging is clinically relevant. Traditionally, liver biopsy has been the method of choice for fibrosis evaluation. Because of liver biopsy limitations, noninvasive methods have become a key research interest in the field. Elastography enables the noninvasive measurement of tissue mechanical properties through observation of shear-wave propagation in the tissue of interest. Increasing fibrosis stage is associated with increased liver stiffness, providing a discriminatory feature that can be exploited by elastographic methods. Ultrasonographic (US) and magnetic resonance (MR) imaging elastographic methods are commercially available, each with their respective strengths and limitations. Here, the authors review the technical basis, acquisition techniques, and results and limitations of US- and MR-based elastography techniques. Diagnostic performance in the most common etiologies of chronic liver disease will be presented. Reliability, reproducibility, failure rate, and emerging advances will be discussed. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Paul Kennedy
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Mathilde Wagner
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Laurent Castéra
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Cheng William Hong
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Curtis L Johnson
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Claude B Sirlin
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
| | - Bachir Taouli
- From the Translational and Molecular Imaging Institute (P.K., B.T.) and Department of Radiology (B.T.), Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029; Department of Radiology, Sorbonne Universités, UPMC, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France (M.W.); Department of Hepatology, University Paris-VII, Hôpital Beaujon, Clichy, France (L.C.); Liver Imaging Group, Department of Radiology, University of California-San Diego, San Diego, Calif (C.W.H., C.B.S.); Department of Biomedical Engineering, University of Delaware, Newark, Del (C.L.J.)
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Liu CH, Liu CJ, Hong CM, Su TH, Yang HC, Chen KM, Huang YP, Yeh YM, Tien HL, Liu YC, Kao JH, Chen DS, Chen PJ. A noninvasive diagnosis of hepatic fibrosis by BioFibroScore® in chronic hepatitis C patients. J Gastroenterol Hepatol 2018; 33:291-297. [PMID: 28548299 DOI: 10.1111/jgh.13834] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 05/09/2017] [Accepted: 05/13/2017] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND AIMS The diagnostic accuracy of a novel serological panel (BioFibroScore®) to predict hepatic fibrosis in patients with chronic hepatitis C virus (HCV) infection is unknown. METHODS Three markers of BioFibroScore, including urokinase plasminogen activator, matrix metalloproteinase-9, and beta-2 microglobulin, were retrospectively evaluated in 635 HCV-infected patients who received percutaneous liver biopsy and FibroScan®. The formula of BioFibroScore to predict the severity of hepatic fibrosis was developed by adaptive boosting algorithm. The diagnostic accuracy of hepatic fibrosis was assessed both for BioFibroScore and FibroScan, taking METAVIR fibrosis score as the reference standard. RESULTS Urokinase plasminogen activator and beta-2 microglobulin were positively and matrix metalloproteinase-9 was negatively associated with the severity of hepatic fibrosis. Thirty-five (5.5%) patients had failed FibroScan assessment. By adaptive boosting model for BioFibroScore and the established reference ranges for FibroScan, 85.7% and 89.0% of the patients had an identical result for F0-1, F2, F3, and F4, as compared with liver biopsy. The concordance rate between BioFibroScore and FibroScan was 80.7%. BioFibroScore overestimated and underestimated the stage of hepatic fibrosis in 8.3% and 6.0% patients, and most patients had one stage error. Among patients with failed FibroScan assessment, 82.9% of them were correctly diagnosed by BioFibroScore. Bootstrap analysis for BioFibroScore showed the diagnostic accuracy was 80.9-88.4%. CONCLUSIONS BioFibroScore is accurate to assess the stage of hepatic fibrosis in HCV-infected patients. Applying this noninvasive test can substantially reduce the need for invasive liver biopsy and can play a role for fibrosis evaluation when FibroScan assessment was unavailable or unreliable.
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Affiliation(s)
- Chen-Hua Liu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Douliou, Taiwan
| | - Chun-Jen Liu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chun-Ming Hong
- Department of Traumatology, National Taiwan University Hospital, Taipei, Taiwan
| | - Tung-Hung Su
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Hung-Chih Yang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Department of Microbiology, National Taiwan University College of Medicine, Taipei, Taiwan
| | | | | | - Yu-Ming Yeh
- General Biologicals Corporation, Hsinchu, Taiwan
| | | | | | - Jia-Horng Kao
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ding-Shinn Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Pei-Jer Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
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Wang K, Manning P, Szeverenyi N, Wolfson T, Hamilton G, Middleton MS, Vaida F, Yin M, Glaser K, Ehman RL, Sirlin CB. Repeatability and reproducibility of 2D and 3D hepatic MR elastography with rigid and flexible drivers at end-expiration and end-inspiration in healthy volunteers. Abdom Radiol (NY) 2017; 42:2843-2854. [PMID: 28612163 DOI: 10.1007/s00261-017-1206-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE To evaluate the repeatability and reproducibility of 2D and 3D hepatic MRE with rigid and flexible drivers at end-expiration and end-inspiration in healthy volunteers. MATERIALS AND METHODS Nine healthy volunteers underwent two same-day MRE exams separated by a 5- to 10-min break. In each exam, 2D and 3D MRE scans were performed, each under four conditions (2 driver types [rigid, flexible] × 2 breath-hold phases [end-expiration, end-inspiration]). Repeatability (measurements under identical conditions) and reproducibility (measurements under different conditions) were analyzed by calculating bias, limit of agreement, repeatability coefficient (RC), reproducibility coefficient (RDC), intraclass correlation coefficient (ICC), and concordance correlation coefficient (CCC), as appropriate. RESULTS For 2D MRE, RCs and ICCs range between 0.29-0.49 and 0.71-0.91, respectively. For 3D MRE, RCs and ICCs range between 0.16-0.26 and 0.84-0.96, respectively. Stiffness values were biased by breath-hold phase, being higher at end-inspiration than end-expiration, and the differences were significant for 3D MRE (p < 0.01). No bias was found between driver types. Inspiration vs. expiration RDCs and CCCs ranged between 0.30-0.54 and 0.61-0.72, respectively. Rigid vs. flexible driver RDCs and CCCs ranged between 0.10-0.44 and 0.79-0.94, respectively. CONCLUSION This preliminary study suggests that 2D MRE and 3D MRE under most conditions potentially have good repeatability. Our result also points to the possibility that stiffness measured with the rigid and flexible drivers is reproducible. Reproducibility between breath-hold phases was modest, suggesting breath-hold phase might be a confounding factor in MRE-based stiffness measurement. However, larger studies are required to validate these preliminary results.
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Magnetic Resonance Elastography of the Liver: Qualitative and Quantitative Comparison of Gradient Echo and Spin Echo Echoplanar Imaging Sequences. Invest Radiol 2017; 51:575-81. [PMID: 26982699 DOI: 10.1097/rli.0000000000000269] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The aim of this study was to compare 2-dimensional (2D) gradient recalled echo (GRE) and 2D spin echo echoplanar imaging (SE-EPI) magnetic resonance elastography (MRE) sequences of the liver in terms of image quality and quantitative liver stiffness (LS) measurement. MATERIALS AND METHODS This prospective study involved 50 consecutive subjects (male/female, 33/17; mean age, 58 years) who underwent liver magnetic resonance imaging at 3.0 T including 2 MRE sequences, 2D GRE, and 2D SE-EPI (acquisition time 56 vs 16 seconds, respectively). Image quality scores were assessed by 2 independent observers based on wave propagation and organ coverage on the confidence map (range, 0-15). A third observer measured LS on stiffness maps (in kilopascal). Mean LS values, regions of interest size (based on confidence map), and image quality scores between SE-EPI and GRE-MRE were compared using paired nonparametric Wilcoxon test. Reproducibility of LS values between the 2 sequences was assessed using intraclass coefficient correlation, coefficient of variation, and Bland-Altman limits of agreement. T2* effect on image quality was assessed using partial Spearman correlation. RESULTS There were 4 cases of failure with GRE-MRE and none with SE-EPI-MRE. Image quality scores and region of interest size were significantly higher using SE-EPI-MRE versus GRE-MRE (P < 0.0001 for both measurements and observers). Liver stiffness measurements were not significantly different between the 2 sequences (3.75 ± 1.87 kPa vs 3.55 ± 1.51 kPa, P = 0.062), were significantly correlated (intraclass coefficient correlation, 0.909), and had excellent reproducibility (coefficient of variation, 10.2%; bias, 0.023; Bland-Altman limits of agreement, -1.19; 1.66 kPa). Image quality scores using GRE-MRE were significantly correlated with T2* while there was no correlation for SE-EPI-MRE. CONCLUSIONS Our data suggest that SE-EPI-MRE may be a better alternative to GRE-MRE. The diagnostic performance of SE-EPI-MRE for detection of liver fibrosis needs to be assessed in a future study.
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Schramm C, Eaton J, Ringe KI, Venkatesh S, Yamamura J. Recommendations on the use of magnetic resonance imaging in PSC-A position statement from the International PSC Study Group. Hepatology 2017; 66:1675-1688. [PMID: 28555945 DOI: 10.1002/hep.29293] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Revised: 04/14/2017] [Accepted: 05/24/2017] [Indexed: 12/15/2022]
Abstract
UNLABELLED Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disorder characterized by inflammation and fibrosis of the intra- and/or extrahepatic bile ducts. Magnetic resonance imaging (MRI) is a noninvasive imaging modality that can be used to diagnose PSC and detect disease related complications. Quantitative MRI technologies also have the potential to provide valuable prognostic information. Despite the potential of this imaging technology, the clinical application of MRI in the care of PSC patients and imaging standards vary across institutions. Moreover, a unified position statement about the role of MRI in the care of PSC patients, quality imaging standards, and its potential as a research tool is lacking. CONCLUSION Members of the International PSC Study Group and radiologists from North America and Europe have compiled the following position statement to provide guidance regarding the application of MRI in the care of PSC patients, minimum imaging standards, and future areas of research. (Hepatology 2017;66:1675-1688).
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Affiliation(s)
- Christoph Schramm
- 1st Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - John Eaton
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Kristina I Ringe
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | | | - Jin Yamamura
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Morisaka H, Motosugi U, Ichikawa S, Nakazawa T, Kondo T, Funayama S, Matsuda M, Ichikawa T, Onishi H. Magnetic resonance elastography is as accurate as liver biopsy for liver fibrosis staging. J Magn Reson Imaging 2017; 47:1268-1275. [PMID: 29030995 DOI: 10.1002/jmri.25868] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 09/19/2017] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Liver MR elastography (MRE) is available for the noninvasive assessment of liver fibrosis; however, no previous studies have compared the diagnostic ability of MRE with that of liver biopsy. PURPOSE To compare the diagnostic accuracy of liver fibrosis staging between MRE-based methods and liver biopsy using the resected liver specimens as the reference standard. STUDY TYPE A retrospective study at a single institution. POPULATION In all, 200 patients who underwent preoperative MRE and subsequent surgical liver resection were included in this study. Data from 80 patients were used to estimate cutoff and distributions of liver stiffness values measured by MRE for each liver fibrosis stage (F0-F4, METAVIR system). In the remaining 120 patients, liver biopsy specimens were obtained from the resected liver tissues using a standard biopsy needle. FIELD STRENGTH/SEQUENCE 2D liver MRE with gradient-echo based sequence on a 1.5 or 3T scanner was used. ASSESSMENT Two radiologists independently measured the liver stiffness value on MRE and two types of MRE-based methods (threshold and Bayesian prediction method) were applied. Two pathologists evaluated all biopsy samples independently to stage liver fibrosis. Surgically resected whole tissue specimens were used as the reference standard. STATISTICAL TESTS The accuracy for liver fibrosis staging was compared between liver biopsy and MRE-based methods with a modified McNemar's test. RESULTS Accurate fibrosis staging was achieved in 53.3% (64/120) and 59.1% (71/120) of patients using MRE with threshold and Bayesian methods, respectively, and in 51.6% (62/120) with liver biopsy. Accuracies of MRE-based methods for diagnoses of ≥F2 (90-91% [108-9/120]), ≥F3 (79-81% [95-97/120]), and F4 (82-85% [98-102/120]) were statistically equivalent to those of liver biopsy (≥F2, 79% [95/120], P ≤ 0.01; ≥F3, 88% [105/120], P ≤ 0.006; and F4, 82% [99/120], P ≤ 0.017). DATA CONCLUSION MRE can be an alternative to liver biopsy for fibrosis staging. LEVEL OF EVIDENCE 3. Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1268-1275.
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Affiliation(s)
- Hiroyuki Morisaka
- Department of Radiology, University of Yamanashi, Yamanashi, Japan.,Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Utaroh Motosugi
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
| | | | - Tadao Nakazawa
- Department of Pathology, University of Yamanashi, Yamanashi, Japan
| | - Tetsuo Kondo
- Department of Pathology, University of Yamanashi, Yamanashi, Japan
| | - Satoshi Funayama
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
| | - Masanori Matsuda
- Department of Gastrointestinal Surgery, University of Yamanashi, Yamanashi, Japan
| | - Tomoaki Ichikawa
- Diagnostic Radiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
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Honda S, Sawada K, Hasebe T, Nakajima S, Fujiya M, Okumura T. Tegafur-uracil-induced rapid development of advanced hepatic fibrosis. World J Gastroenterol 2017; 23:5823-5828. [PMID: 28883709 PMCID: PMC5569298 DOI: 10.3748/wjg.v23.i31.5823] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 06/22/2017] [Accepted: 07/24/2017] [Indexed: 02/06/2023] Open
Abstract
Tegafur-uracil has been reported to have only minor adverse effects and is associated with liver injury in 1.79% of Japanese patients. The development of tegafur-uracil-induced hepatic fibrosis with portal hypertension is rare. Here, we report a case of a 74-year-old woman with rapidly developing tegafur-uracil-induced hepatic fibrosis. The patient had no history of liver disease and had been treated with tegafur-uracil for 8 mo after breast cancer surgery. The patient was admitted to our hospital for abdominal distension and leg edema associated with liver dysfunction. Computed tomography imaging revealed massive ascites and splenomegaly, and a non-invasive assessment of liver fibrosis indicated advanced fibrosis. The histopathological findings revealed periportal fibrosis and bridging fibrosis with septation. The massive ascites resolved after discontinuing tegafur-uracil. These findings suggest that advanced hepatic fibrosis can develop from a relatively short-term administration of tegafur-uracil and that non-invasive assessment is useful for predicting hepatic fibrosis.
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Affiliation(s)
- Shuya Honda
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
| | - Koji Sawada
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
| | - Takumu Hasebe
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
| | - Shunsuke Nakajima
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
| | - Mikihiro Fujiya
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
| | - Toshikatsu Okumura
- Division of Gastroenterology and Hematology/Oncology, Department of Medicine, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
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Tan CH, Venkatesh SK. Magnetic Resonance Elastography and Other Magnetic Resonance Imaging Techniques in Chronic Liver Disease: Current Status and Future Directions. Gut Liver 2017; 10:672-86. [PMID: 27563019 PMCID: PMC5003189 DOI: 10.5009/gnl15492] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 11/29/2015] [Accepted: 12/15/2015] [Indexed: 12/13/2022] Open
Abstract
Recent advances in the noninvasive imaging of chronic liver disease have led to improvements in diagnosis, particularly with magnetic resonance imaging (MRI). A comprehensive evaluation of the liver may be performed with the quantification of the degree of hepatic steatosis, liver iron concentration, and liver fibrosis. In addition, MRI of the liver may be used to identify complications of cirrhosis, including portal hypertension, ascites, and the development of hepatocellular carcinoma. In this review article, we discuss the state of the art techniques in liver MRI, namely, magnetic resonance elastography, hepatobiliary phase MRI, and liver fat and iron quantification MRI. The use of these advanced techniques in the management of chronic liver diseases, including non-alcoholic fatty liver disease, will be elaborated.
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Affiliation(s)
- Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore
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Serai SD, Obuchowski NA, Venkatesh SK, Sirlin CB, Miller FH, Ashton E, Cole PE, Ehman RL. Repeatability of MR Elastography of Liver: A Meta-Analysis. Radiology 2017; 285:92-100. [PMID: 28530847 DOI: 10.1148/radiol.2017161398] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Purpose To perform a meta-analysis to generate an estimate of the repeatability coefficient (RC) for magnetic resonance (MR) elastography of the liver. Materials and Methods A systematic search of databases was performed for publications on MR elastography during the 10-year period between 2006 and 2015. The identified studies were screened independently and were verified reciprocally by all authors. Two reviewers independently determined the percentage RC and effective sample size from each article. A forest plot was constructed of the percentage RC estimates from the 12 studies. Bootstrap 95% confidence intervals (CIs) were constructed for the summary percentage RCs. Results Twelve studies comprising 274 patients met the eligibility criteria and were included for analysis. A flow diagram of studies included according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was prepared for the inclusion and exclusion criteria. All studies included in the meta-analysis fulfilled four or more of the seven categories of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2. The estimated summary RC was 22% (95% CI: 16.1%, 28.2%). The three main sources for this heterogeneity were the trained versus untrained operator drawing contours to choose regions of interest, the time between two replicate examinations, and, finally, the field strength of the MR imaging unit. The RC estimates tended to be higher for studies that did not use a well-trained operator, those with 1.5-T field strength imaging units, and those with longer time intervals between examinations. Conclusion The meta-analysis results provide the basis for the following draft longitudinal Quantitative Imaging Biomarkers Alliance MR elastography claim: A measured change in hepatic stiffness of 22% or greater, at the same site and with use of the same equipment and acquisition sequence, indicates that a true change in stiffness has occurred with 95% confidence. © RSNA, 2017.
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Affiliation(s)
- Suraj D Serai
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Nancy A Obuchowski
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Sudhakar K Venkatesh
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Claude B Sirlin
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Frank H Miller
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Edward Ashton
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Patricia E Cole
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
| | - Richard L Ehman
- From the Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 5031, Cincinnati, OH 45229 (S.D.S.); Department of Quantitative Health Sciences, the Cleveland Clinic Foundation, Cleveland, Ohio (N.A.O.); Department of Radiology, Mayo Clinic, Rochester, Minn (S.K.V., R.L.E.); Department of Radiology, UCSD Liver Imaging Group, San Diego, Calif (C.B.S.); Department of Radiology, Northwestern Memorial Hospital, Chicago, Ill (F.H.M.); Virtualscopics, Rochester, NY (E.A.); and Clinical and Translational Science-Imaging, Takeda Pharmaceuticals, Deerfield, Ill (P.E.C.)
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