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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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Wang R, Wang Y, Qiu S, Ma S, Yan F, Yang GZ, Li R, Feng Y. A Comparative Study of Three Systems for Liver Magnetic Resonance Elastography. J Magn Reson Imaging 2024. [PMID: 38449389 DOI: 10.1002/jmri.29335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/21/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Different MR elastography (MRE) systems may produce different stiffness measurements, making direct comparison difficult in multi-center investigations. PURPOSE To assess the repeatability and reproducibility of liver stiffness measured by three typical MRE systems. STUDY TYPE Prospective. POPULATION/PHANTOMS Thirty volunteers without liver disease history (20 males, aged 21-28)/5 gel phantoms. FIELD STRENGTH/SEQUENCE 3.0 T United Imaging Healthcare (UIH), 1.5 T Siemens Healthcare, 3.0 T General Electric Healthcare (GE)/Echo planar imaging-based MRE sequence. ASSESSMENT Wave images of volunteers and phantoms were acquired by three MRE systems. Tissue stiffness was evaluated by two observers, while phantom stiffness was assessed automatically by code. The reproducibility across three MRE systems was quantified based on the mean stiffness of each volunteer and phantom. STATISTICAL TESTS Intraclass correlation coefficients (ICC), coefficients of variation (CV), and Bland-Altman analyses were used to assess the interobserver reproducibility, the interscan repeatability, and the intersystem reproducibility. Paired t-tests were performed to assess the interobserver and interscan variation. Friedman tests with Dunn's multiple comparison correction were performed to assess the intersystem variation. P values less than 0.05 indicated significant difference. RESULTS The reproducibility of stiffness measured by the two observers demonstrated consistency with ICC > 0.92, CV < 4.32%, Mean bias < 2.23%, and P > 0.06. The repeatability of measurements obtained using the electromagnetic system for the liver revealed ICC > 0.96, CV < 3.86%, Mean bias < 0.19%, P > 0.90. When considering the range of reproducibility across the three systems for liver evaluations, results ranged with ICCs from 0.70 to 0.87, CVs from 6.46% to 10.99%, and Mean biases between 1.89% and 6.30%. Phantom studies showed similar results. The values of measured stiffness differed across all three systems significantly. DATA CONCLUSION Liver stiffness values measured from different MRE systems can be different, but the measurements across the three MRE systems produced consistent results with excellent reproducibility. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Runke Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Yikun Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Suhao Qiu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Shengyuan Ma
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang-Zhong Yang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Ruokun Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Feng
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
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Moura Cunha G, Fan B, Navin PJ, Olivié D, Venkatesh SK, Ehman RL, Sirlin CB, Tang A. Interpretation, Reporting, and Clinical Applications of Liver MR Elastography. Radiology 2024; 310:e231220. [PMID: 38470236 PMCID: PMC10982829 DOI: 10.1148/radiol.231220] [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: 05/12/2023] [Revised: 11/21/2023] [Accepted: 11/24/2023] [Indexed: 03/13/2024]
Abstract
Chronic liver disease is highly prevalent and often leads to fibrosis or cirrhosis and complications such as liver failure and hepatocellular carcinoma. The diagnosis and staging of liver fibrosis is crucial to determine management and mitigate complications. Liver biopsy for histologic assessment has limitations such as sampling bias and high interreader variability that reduce precision, which is particularly challenging in longitudinal monitoring. MR elastography (MRE) is considered the most accurate noninvasive technique for diagnosing and staging liver fibrosis. In MRE, low-frequency vibrations are applied to the abdomen, and the propagation of shear waves through the liver is analyzed to measure liver stiffness, a biomarker for the detection and staging of liver fibrosis. As MRE has become more widely used in clinical care and research, different contexts of use have emerged. This review focuses on the latest developments in the use of MRE for the assessment of liver fibrosis; provides guidance for image acquisition and interpretation; summarizes diagnostic performance, along with thresholds for diagnosis and staging of liver fibrosis; discusses current and emerging clinical applications; and describes the latest technical developments.
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Affiliation(s)
- Guilherme Moura Cunha
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Boyan Fan
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Patrick J. Navin
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Damien Olivié
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Sudhakar K. Venkatesh
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Richard L. Ehman
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - Claude B. Sirlin
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
| | - An Tang
- From the Department of Radiology, University of Washington, Seattle,
Wash (G.M.C.); Department of Radiology, Université Laval, Québec,
Québec, Canada (B.F.); Department of Radiology, Mayo Clinic, Rochester,
Minn (P.J.N., S.K.V., R.L.E.); Department of Radiology, Centre Hospitalier de
l'Université de Montréal, 1058 Rue Saint-Denis,
Montréal, QC, Canada H2X 3J4 (D.O., A.T.); and Department of Radiology,
University of California San Diego, San Diego, Calif (C.B.S.)
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Lin H, Qiu S, Yang Y, Yang C, Shen Z, Chen Y, Zhang Z, Feng Y, Yan F. Three-dimensional magnetic resonance elastography combining proton-density fat fraction precisely identifies metabolic dysfunction-associated steatohepatitis with significant fibrosis. Magn Reson Imaging 2023; 104:1-8. [PMID: 37553044 DOI: 10.1016/j.mri.2023.07.017] [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: 06/15/2023] [Revised: 07/30/2023] [Accepted: 07/31/2023] [Indexed: 08/10/2023]
Abstract
PURPOSE Patients with metabolic dysfunction-associated steatohepatitis (MASH) and significant fibrosis (fibrosis stage≥2), known as Fibro-MASH, are at increased risk of liver-related outcomes and lower rates of spontaneous disease regression. The aim was to investigate three-dimensional MR elastography (3D-MRE) combining proton-density fat fraction (PDFF) as a means of identifying Fibro-MASH. METHODS Forty-eight New Zealand rabbits were fed a high-fat/cholesterol or standard diet to obtain different disease activity and fibrosis stages. Shear stiffness (SS) and Damping Ratio (DR) were derived from 3D-MRE, whereas PDFF was from a volumetric 3D imaging sequence. Steatosis grade, metabolic dysfunction-associated steatotic liver disease activity score (MAS), and fibrosis stage were diagnosed histologically. Serum markers of fibrosis and inflammation were also measured. Correlation and comparison analysis, Receiver operating characteristic curves (ROC), Delong test, logistic regression analysis, and Net reclassification improvement (NRI) were performed. RESULTS PDFF correlated with steatosis grade (rho = 0.853). SS increased with developed liver fibrosis (rho = 0.837). DR correlated with MAS grade (rho = 0.678). The areas under the ROC (AUROCs) of SS for fibrosis grading were 0.961 and 0.953 for ≥F2, and ≥ F3, respectively. All the biochemical parameters were considered but excluded from the logistic regression analysis to identify Fibro-MASH. FF, SS, and DR were finally included in the further analysis. The three-parameter model combining PDFF, SS, and DR showed significant improvement in NRI over the model combining SS and PDFF (AUROC 0.973 vs. 0.906, P = 0.081; NRI 0.28, P < 0.05). CONCLUSION 3D-MRE combining PDFF may characterize the state of fat content, disease activity and fibrosis, thus precisely identify Fibro-MASH.
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Affiliation(s)
- Huimin Lin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Suhao Qiu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Yanzhao Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chunxue Yang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Zhehan Shen
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yu Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Zhihan Zhang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yuan Feng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Alcantara-Diaz AL, Ruiz-Fernandez JF, Salazar-Alarcon JL, Salinas-Sedo G, Toro-Huamanchumo CJ. Diagnostic Performance of 2D Shear Wave (2D-SWE) for Liver Fibrosis in Adults Undergoing Bariatric Surgery. Obes Surg 2023; 33:3120-3126. [PMID: 37566340 DOI: 10.1007/s11695-023-06766-1] [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: 05/24/2023] [Revised: 07/17/2023] [Accepted: 07/25/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Among the most recent methods to diagnose liver fibrosis is 2D shear wave elastography (2D-SWE). However, the evidence in the Latin population is limited, and there is no consensus on the cutoff points for each stage of fibrosis. AIM To evaluate the diagnostic performance of 2D-SWE for liver fibrosis in adults with obesity who underwent bariatric surgery (BS). METHODS We conducted a cross-sectional study on patients with obesity who underwent BS between 2020 and 2021. Liver stiffness measurement was reported as the mean of valid measurements in kilopascals made with the 2D-SWE. The outcome was biopsy-proven liver fibrosis. ROC curves were constructed for significant fibrosis (F≥2) and advanced fibrosis (F≥3), with their respective area under the curve (AUC). To obtain the best cutoff point for each scenario, we used the Youden index. The 95% confidence intervals (95% CI) for each cutoff point were estimated by bootstrap with 1000 replications. RESULTS We analyzed data from 227 patients. The mean age was 37.8 ± 11.1 years and 65.2% were women. Overall, the AUC for significant and advanced fibrosis was 0.54 (95% CI: 0.47-0.62) and 0.73 (95% CI: 0.60-0.87), respectively. For advanced fibrosis, higher AUCs were found among women (AUC: 0.82; 95% CI: 0.59-1.00) and among patients with morbid obesity (AUC: 0.78; 95% CI: 0.61-0.99). CONCLUSION The 2D-SWE appears to be a valuable tool for screening advanced liver fibrosis in candidates for BS, mainly in the female population and in adults with morbid obesity.
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Affiliation(s)
- Ana L Alcantara-Diaz
- School of Medicine, Universidad de San Martín de Porres, Chiclayo, Peru
- SCIEMVE, Sociedad Científica de Estudiantes de Medicina Veritas, Chiclayo, Peru
| | | | | | | | - Carlos J Toro-Huamanchumo
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Av. La Fontana 750, 15024, Lima, Peru.
- OBEMET Center for Obesity and Metabolic Health, Lima, Peru.
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Li J, Lu X, Zhu Z, Kalutkiewicz KJ, Mounajjed T, Therneau TM, Venkatesh SK, Sui Y, Glaser KJ, Hoodeshenas S, Manduca A, Shah VH, Ehman RL, Allen AM, Yin M. Head-to-head comparison of magnetic resonance elastography-based liver stiffness, fat fraction, and T1 relaxation time in identifying at-risk NASH. Hepatology 2023; 78:1200-1208. [PMID: 37080558 PMCID: PMC10521779 DOI: 10.1097/hep.0000000000000417] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/14/2023] [Accepted: 03/24/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND AND AIMS The presence of at-risk NASH is associated with an increased risk of cirrhosis and complications. Therefore, noninvasive identification of at-risk NASH with an accurate biomarker is a critical need for pharmacologic therapy. We aim to explore the performance of several magnetic resonance (MR)-based imaging parameters in diagnosing at-risk NASH. APPROACH AND RESULTS This prospective clinical trial (NCT02565446) includes 104 paired MR examinations and liver biopsies performed in patients with suspected or diagnosed NAFLD. Magnetic resonance elastography-assessed liver stiffness (LS), 6-point Dixon-derived proton density fat fraction (PDFF), and single-point saturation-recovery acquisition-calculated T1 relaxation time were explored. Among all predictors, LS showed the significantly highest accuracy in diagnosing at-risk NASH [AUC LS : 0.89 (0.82, 0.95), AUC PDFF : 0.70 (0.58, 0.81), AUC T1 : 0.72 (0.61, 0.82), z -score test z >1.96 for LS vs any of others]. The optimal cutoff value of LS to identify at-risk NASH patients was 3.3 kPa (sensitivity: 79%, specificity: 82%, negative predictive value: 91%), whereas the optimal cutoff value of T1 was 850 ms (sensitivity: 75%, specificity: 63%, and negative predictive value: 87%). PDFF had the highest performance in diagnosing NASH with any fibrosis stage [AUC PDFF : 0.82 (0.72, 0.91), AUC LS : 0.73 (0.63, 0.84), AUC T1 : 0.72 (0.61, 0.83), |z| <1.96 for all]. CONCLUSION Magnetic resonance elastography-assessed LS alone outperformed PDFF, and T1 in identifying patients with at-risk NASH for therapeutic trials.
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Affiliation(s)
- Jiahui Li
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Xin Lu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zheng Zhu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Taofic Mounajjed
- Division of Anatomic Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Terry M. Therneau
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Yi Sui
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Kevin J. Glaser
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Armando Manduca
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijay H. Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Alina M. Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
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7
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Fowler KJ, Bashir MR. The current status of imaging in liver fibrosis. Nat Rev Gastroenterol Hepatol 2023; 20:628-629. [PMID: 37537333 DOI: 10.1038/s41575-023-00833-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
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8
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Liang JX, Ampuero J, Niu H, Imajo K, Noureddin M, Behari J, Lee DH, Ehman RL, Rorsman F, Vessby J, Lacalle JR, Mózes FE, Pavlides M, Anstee QM, Harrison SA, Castell J, Loomba R, Romero-Gómez M. An individual patient data meta-analysis to determine cut-offs for and confounders of NAFLD-fibrosis staging with magnetic resonance elastography. J Hepatol 2023; 79:592-604. [PMID: 37121437 PMCID: PMC10623141 DOI: 10.1016/j.jhep.2023.04.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 03/23/2023] [Accepted: 04/12/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND & AIMS We conducted an individual patient data meta-analysis to establish stiffness cut-off values for magnetic resonance elastography (MRE) in staging liver fibrosis and to assess potential confounding factors. METHODS A systematic review of the literature identified studies reporting MRE data in patients with NAFLD. Data were obtained from the corresponding authors. The pooled diagnostic cut-off value for the various fibrosis stages was determined in a two-stage meta-analysis. Multilevel modelling methods were used to analyse potential confounding factors influencing the diagnostic accuracy of MRE in staging liver fibrosis. RESULTS Eight independent cohorts comprising 798 patients were included in the meta-analysis. The area under the receiver operating characteristic curve (AUROC) for MRE in detecting significant fibrosis was 0.92 (sensitivity, 79%; specificity, 89%). For advanced fibrosis, the AUROC was 0.92 (sensitivity, 87%; specificity, 88%). For cirrhosis, the AUROC was 0.94 (sensitivity, 88%, specificity, 89%). Cut-offs were defined to explore concordance between MRE and histopathology: ≥F2, 3.14 kPa (pretest probability, 39.4%); ≥F3, 3.53 kPa (pretest probability, 24.1%); and F4, 4.45 kPa (pretest probability, 8.7%). In generalized linear mixed model analysis, histological steatohepatitis with higher inflammatory activity (odds ratio 2.448, 95% CI 1.180-5.079, p <0.05) and high gamma-glutamyl transferase (GGT) concentration (>120U/L) (odds ratio 3.388, 95% CI 1.577-7.278, p <0.01] were significantly associated with elevated liver stiffness, and thus affecting accuracy in staging early fibrosis (F0-F1). Steatosis, as measured by magnetic resonance imaging proton density fat fraction, and body mass index(BMI) were not confounders. CONCLUSIONS MRE has excellent diagnostic performance for significant, advanced fibrosis and cirrhosis in patients with NAFLD. Elevated inflammatory activity and GGT level may lead to overestimation of early liver fibrosis, but anthropometric measures such as BMI or the degree of steatosis do not. IMPACT AND IMPLICATIONS This individual patient data meta-analysis of eight international cohorts, including 798 patients, demonstrated that MRE achieves excellent diagnostic accuracy for significant, advanced fibrosis and cirrhosis in patients with NAFLD. Cut-off values (significant fibrosis, 3.14 kPa; advanced fibrosis, 3.53 kPa; and cirrhosis, 4.45 kPa) were established. Elevated inflammatory activity and gamma-glutamyltransferase level may affect the diagnostic accuracy of MRE, leading to overestimation of liver fibrosis in early stages. We observed no impact of diabetes, obesity, or any other metabolic disorder on the diagnostic accuracy of MRE.
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Affiliation(s)
- Jia-Xu Liang
- Digestive Diseases Unit and CIBERehd, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), University of Seville, Seville, Spain; Department of Diagnostic Radiology, The Fifth Clinical Medical College of Henan University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, China
| | - Javier Ampuero
- Digestive Diseases Unit and CIBERehd, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), University of Seville, Seville, Spain
| | - Hao Niu
- Digestive System and Clinical Pharmacology Unit, Virgen de la Victoria University Hospital, Biomedical Research Institute of Malaga and Nanomedicine Platform-IBIMA (Plataforma BIONAND), University of Malaga, Málaga, Spain; Biomedical Research Network Center for Hepatic and Digestive Diseases (CIBERehd), Carlos III Health Institute, Madrid, Spain
| | - Kento Imajo
- Department of Gastroenterology, Yokohama City University Graduate School of Medicine; Yokohama, Japan
| | - Mazen Noureddin
- Fatty Liver Program, Division of Digestive and Liver Diseases, Comprehensive Transplant Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jaideep Behari
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dae Ho Lee
- Department of Internal Medicine, Gachon University College of Medicine (Gachon University Gil Medical Center), Incheon, South Korea
| | - Richard L Ehman
- Department of Diagnostic Radiology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Fredrik Rorsman
- Department of Medical Sciences, Section of Gastroenterology and Hepatology, Uppsala University, Uppsala, Sweden
| | - Johan Vessby
- Department of Medical Sciences, Section of Gastroenterology and Hepatology, Uppsala University, Uppsala, Sweden
| | - Juan R Lacalle
- Biostatistics Unit, Department of Preventive Medicine and Public Health, University of Seville, Seville, Spain
| | - Ferenc E Mózes
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Michael Pavlides
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Translational Gastroenterology Unit, University of Oxford, Oxford, UK
| | - Quentin M Anstee
- Translational and Clinical Research Institute; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK; Newcastle NIHR Biomedical Research Centre, Newcastle Upon Tyne Hospitals, NHS Trust, Newcastle Upon Tyne, UK
| | - Stephen A Harrison
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Javier Castell
- Department of Radiology, Virgen del Rocío University Hospital, Seville, Spain
| | - Rohit Loomba
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA; NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Manuel Romero-Gómez
- Digestive Diseases Unit and CIBERehd, Virgen del Rocío University Hospital, Seville, Spain; Institute of Biomedicine of Seville (HUVR/CSIC/US), University of Seville, Seville, Spain.
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9
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Elsingergy MM, Viteri B, Otero HJ, Bhatti T, Morales T, Roberts TPL, Amaral S, Hartung E, Serai SD. Imaging fibrosis in pediatric kidney transplantation: A pilot study. Pediatr Transplant 2023; 27:e14540. [PMID: 37166372 PMCID: PMC10824264 DOI: 10.1111/petr.14540] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/01/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Noninvasive alternatives to biopsy for assessment of interstitial fibrosis and tubular atrophy (IFTA), the major determinant of kidney transplant failure, remain profoundly limited. Elastography is a noninvasive technique that propagates shear waves across tissues to measure their stiffness. We aimed to test utility of elastography for early detection of IFTA in pediatric kidney allografts. METHODS We compared ultrasound (USE) and MR elastography (MRE) stiffness measurements, performed on pediatric transplant recipients referred for clinically indicated biopsies, and healthy controls. RESULTS Ten transplant recipients (median age 16 years) and eight controls (median age 16.5 years) were enrolled. Three transplant recipients had "stable" allografts and seven had Banff Grade 1 IFTA. Median time from transplantation to biopsy was 12 months. Mean estimated glomerular filtration rate was 61.5 mL/min/1.73m2 by creatinine-cystatin-C CKiD equation at time of biopsy. Mean stiffness, calculated through one-way ANOVA, was higher for IFTA allografts (23.4 kPa USE/5.6 kPa MRE) than stable allografts (13.7 kPa USE/4.4 kPa MRE) and controls (9.1 kPa USE/3.6 kPa MRE). Pearson's coefficient between USE and MRE stiffness values was strong (r = .97). AUC for fibrosis prediction in transplanted kidneys was high for both modalities (0.91 USE and 0.89 MRE), although statistically nonsignificant (p > .05). Stiffness cut-off values for USE and MRE were 13.8 kPa and 4.6 kPa, respectively. Both values yielded a sensitivity of 100% but USE specificity (72%) was slightly higher than MRE (67%). CONCLUSION Elastography shows potential for detection of low-grade IFTA in allografts although a larger sample is imperative for clinical validation.
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Affiliation(s)
| | - Bernarda Viteri
- Department of Pediatrics, Division of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Hansel J. Otero
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Tricia Bhatti
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Tatiana Morales
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Timothy P L Roberts
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sandra Amaral
- Department of Pediatrics, Division of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Erum Hartung
- Department of Pediatrics, Division of Nephrology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Suraj D. Serai
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Hatt A, Lloyd R, Bolsterlee B, Bilston LE. Strain-dependent shear properties of human adipose tissue in vivo. J Mech Behav Biomed Mater 2023; 143:105924. [PMID: 37276651 DOI: 10.1016/j.jmbbm.2023.105924] [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: 04/04/2023] [Revised: 05/14/2023] [Accepted: 05/20/2023] [Indexed: 06/07/2023]
Abstract
INTRODUCTION Human adipose tissue (fat) deforms substantially under normal physiological loading and during impact. Thus, accurate data on strain-dependent stiffness of fat is essential for the creation of accurate biomechanical models. Previous studies on ex vivo samples reported human fat to be nonlinear and viscoelastic. When static compression is combined with magnetic resonance (MR) elastography (an imaging technique used to measure viscoelasticity in vivo), the large deformation properties of tissues can be determined. Here, we use magnetic resonance elastography to quantify fat shear modulus in vivo under increasing compressive strain and compare it to the underlying passive gluteal muscle. METHODS The right buttocks of ten female participants were incrementally compressed at four levels while MR elastography (50 Hz) and mDixon images were acquired. Maps of tissue shear modulus (G*) were reconstructed from the MR elastography phase images. Tissue strain was estimated from registration of deformed and undeformed mDixon images. Linear mixed models were fit to the natural logarithm of the compressive strain and shear modulus data for each tissue. RESULTS Shear modulus increased in an exponential relationship with compressive strain in fat: Gfat*=748.5*Cyy-1.18Pa, and to a lesser extent in muscle: Gmuscle*=956.4*Cyy-0.36Pa. The baseline (undeformed) stiffness of fat was significantly lower than that of muscle (mean G*fat = 752 Pa, mean G*muscle = 1000 Pa, paired samples t-test, t = -4.24, p = 0.001). However, fat exhibited a significantly higher degree of strain dependence (characterised by the exponent of the curve, t = -6.47, p = 0.0001). CONCLUSION Static compression of human adipose tissue results in an increase in apparent viscoelastic shear modulus (stiffness), in an exponentially increasing relationship. The relationships defined here can be used in the development of physiologically realistic computational models for impact, injury and biomechanical modelling.
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Affiliation(s)
- Alice Hatt
- Neuroscience Research Australia, PO Box 1165, Randwick, NSW, 2031, Australia
| | - Robert Lloyd
- Neuroscience Research Australia, PO Box 1165, Randwick, NSW, 2031, Australia; University of New South Wales, Faculty of Medicine & Health, 18 High St, Kensington, NSW, 2052, Australia
| | - Bart Bolsterlee
- Neuroscience Research Australia, PO Box 1165, Randwick, NSW, 2031, Australia; University of New South Wales, Graduate School of Biomedical Engineering, Library Rd, Kensington, NSW, 2033, Australia
| | - Lynne E Bilston
- Neuroscience Research Australia, PO Box 1165, Randwick, NSW, 2031, Australia; University of New South Wales, Faculty of Medicine & Health, 18 High St, Kensington, NSW, 2052, Australia.
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11
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Villani R, Lupo P, Sangineto M, Romano AD, Serviddio G. Liver Ultrasound Elastography in Non-Alcoholic Fatty Liver Disease: A State-of-the-Art Summary. Diagnostics (Basel) 2023; 13:diagnostics13071236. [PMID: 37046454 PMCID: PMC10093430 DOI: 10.3390/diagnostics13071236] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a chronic disease which is currently the most common hepatic disorder affecting up to 38% of the general population with differences according to age, country, ethnicity and sex. Both genetic and acquired risk factors such as a high-calorie diet or high intake of saturated fats have been associated with obesity, diabetes and, finally, NAFLD. A liver biopsy has always been considered essential for the diagnosis of NAFLD; however, due to several limitations such as the potential occurrence of major complications, sampling variability and the poor repeatability in clinical practice, it is considered an imperfect option for the evaluation of liver fibrosis over time. For these reasons, a non-invasive assessment by serum biomarkers and the quantification of liver stiffness is becoming the new frontier in the management of patients with NAFLD and liver fibrosis. We present a state-of-the-art summary addressing the methods for the non-invasive evaluation of liver fibrosis in NAFLD patients, particularly the ultrasound-based techniques (transient elastography, ARFI techniques and strain elastography) and their optimal cut-off values for the staging of liver fibrosis.
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12
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Liver stiffness assessed by magnetic resonance elastography predicts clinical outcomes in patients with heart failure and without chronic liver disease. Eur Radiol 2023; 33:2062-2074. [PMID: 36326882 DOI: 10.1007/s00330-022-09209-0] [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: 06/22/2022] [Revised: 09/25/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Evaluation of liver stiffness (LS) by magnetic resonance elastography (MRE) is useful for estimating right atrial pressure (RAP) in patients with heart failure (HF). However, its prognostic implications are unclear. We sought to investigate whether LS measured by MRE (LS-MRE) could predict clinical outcomes in patients with HF. METHODS We prospectively examined 207 consecutive HF patients between April 2018 and May 2021 after excluding those with organic liver disease. All patients underwent 3.0-T MRE. The primary outcome of interest was the composite of all-cause death and hospitalisation for HF. RESULTS During a median follow-up period of 720 (interquartile range [IQR] 434-1013) days, the primary outcome occurred in 44 patients (21%), including 15 (7%) all-cause deaths and 29 (14%) hospitalisations for HF. The patients were divided into two groups according to median LS-MRE of 2.54 (IQR 2.34-2.82) kPa. Patients with higher LS-MRE showed a higher incidence of the primary outcome compared to those with lower LS-MRE (p < 0.001). Multivariable Cox regression analyses revealed that LS-MRE value was independently associated with the risk of adverse events (hazard ratio 2.49, 95% confidence interval 1.46-4.24). In multivariable linear regression, RAP showed a stronger correlation with LS-MRE (β coefficient = 0.31, p < 0.001) compared to markers related to liver fibrosis. CONCLUSIONS In patients without chronic liver disease and presenting with HF, elevated LS-MRE was independently associated with worse clinical outcomes. Elevated LS-MRE may be useful for risk stratification in patients with HF and without chronic liver disease. KEY POINTS • Magnetic resonance elastography (MRE) is an emerging non-invasive imaging technique for evaluating liver stiffness (LS) which can estimate right atrial pressure. • Elevated LS-MRE, which mainly reflects liver congestion, was independently associated with worse clinical outcomes in patients with heart failure. • The assessment of LS-MRE would be useful for stratifying the risk of adverse events in heart failure patients without chronic liver disease.
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Taru MG, Neamti L, Taru V, Procopciuc LM, Procopet B, Lupsor-Platon M. How to Identify Advanced Fibrosis in Adult Patients with Non-Alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH) Using Ultrasound Elastography-A Review of the Literature and Proposed Multistep Approach. Diagnostics (Basel) 2023; 13:diagnostics13040788. [PMID: 36832276 PMCID: PMC9955630 DOI: 10.3390/diagnostics13040788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), and its progressive form, non-alcoholic steatohepatitis (NASH), represent, nowadays, real challenges for the healthcare system. Liver fibrosis is the most important prognostic factor for NAFLD, and advanced fibrosis is associated with higher liver-related mortality rates. Therefore, the key issues in NAFLD are the differentiation of NASH from simple steatosis and identification of advanced hepatic fibrosis. We critically reviewed the ultrasound (US) elastography techniques for the quantitative characterization of fibrosis, steatosis, and inflammation in NAFLD and NASH, with a specific focus on how to differentiate advanced fibrosis in adult patients. Vibration-controlled transient elastography (VCTE) is still the most utilized and validated elastography method for liver fibrosis assessment. The recently developed point shear wave elastography (pSWE) and two-dimensional shear wave elastography (2D-SWE) techniques that use multiparametric approaches could bring essential improvements to diagnosis and risk stratification.
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Affiliation(s)
- Madalina-Gabriela Taru
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
| | - Lidia Neamti
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Vlad Taru
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, 1090 Vienna, Austria
- Christian Doppler Lab for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, 1090 Vienna, Austria
| | - Lucia Maria Procopciuc
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Bogdan Procopet
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Monica Lupsor-Platon
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Medical Imaging Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Correspondence:
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Lister D, Blizard G, Hosseini M, Messer K, Wellen J, Sirlin CB, Ahrens ET. Imaging Non-alcoholic Fatty Liver Disease Model Using H-1 and F-19 MRI. Mol Imaging Biol 2022; 25:443-449. [PMID: 36575339 DOI: 10.1007/s11307-022-01798-y] [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: 03/21/2022] [Revised: 12/09/2022] [Accepted: 12/15/2022] [Indexed: 12/28/2022]
Abstract
PURPOSE We explore the use of intravenously delivered perfluorocarbon (PFC) nanoemulsion and 19F MRI for detecting inflammation in a mouse model of non-alcoholic fatty liver disease (NAFLD). Correlative studies of 1H-based liver proton density fat fraction (PDFF) and T1 measurements and histology are also evaluated. PROCEDURES C57BL/6 mice were fed standard or high-fat diet (HFD) for 6 weeks to induce NAFLD. 1H MRI measurements of PDFF and T1 relaxation time were performed at baseline to assess NAFLD onset prior to administration of a PFC nanoemulsion to enable 19F MRI of liver PFC uptake. 1H and 19F MRI biomarkers were acquired at 2, 21, and 42 days post-PFC to assess changes. Histopathology of liver tissue was performed at experimental endpoint. RESULTS Significant increases in liver volume, PDFF, and total PFC uptake were noted in HFD mice compared to Std diet mice. Liver fluorine density and T1 relaxation time were significantly reduced in HFD mice. CONCLUSIONS We demonstrated longitudinal quantification of multiple MRI biomarkers of disease in NAFLD mice. The changes in liver PFC uptake in HFD mice were compared with healthy mice that suggests that 19F MRI may be a viable biomarker of liver pathology.
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Affiliation(s)
- Deanne Lister
- Department of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA
| | - Gabrielle Blizard
- Department of Biology, University of California, La Jolla, San Diego, CA, USA
| | - Mojgan Hosseini
- Department of Pathology, University of California, La Jolla, San Diego, CA, USA
| | - Karen Messer
- Department of Family Medicine and Public Health, University of California, La Jolla, San Diego, CA, USA
| | | | - Claude B Sirlin
- Department of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA
| | - Eric T Ahrens
- Department of Radiology, University of California, 9500 Gilman Dr. #0695, La Jolla, San Diego, CA, 92093-0695, USA.
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Gosalia D, Ratziu V, Stanicic F, Vukicevic D, Zah V, Gunn N, Halegoua-DeMarzio D, Tran T. Accuracy of Noninvasive Diagnostic Tests for the Detection of Significant and Advanced Fibrosis Stages in Nonalcoholic Fatty Liver Disease: A Systematic Literature Review of the US Studies. Diagnostics (Basel) 2022; 12:2608. [PMID: 36359453 PMCID: PMC9689671 DOI: 10.3390/diagnostics12112608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/18/2022] [Accepted: 10/24/2022] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND The purpose of this systematic literature review (SLR) was to evaluate the accuracy of noninvasive diagnostic tools in detecting significant or advanced (F2/F3) fibrosis among patients with nonalcoholic fatty liver (NAFL) in the US healthcare context. METHODS The SLR was conducted in PubMed and Web of Science, with an additional hand search of public domains and citations, in line with the PRISMA statement. The study included US-based original research on diagnostic test sensitivity, specificity and accuracy. RESULTS Twenty studies were included in qualitative evidence synthesis. Imaging techniques with the highest diagnostic accuracy in F2/F3 detection and differentiation were magnetic resonance elastography and vibration-controlled transient elastography. The most promising standard blood biomarkers were NAFLD fibrosis score and FIB-4. The novel diagnostic tools showed good overall accuracy, particularly a score composed of body mass index, GGT, 25-OH-vitamin D, and platelet count. The novel approaches in liver fibrosis detection successfully combine imaging techniques and blood biomarkers. CONCLUSIONS While noninvasive techniques could overcome some limitations of liver biopsy, a tool that would provide a sufficiently sensitive and reliable estimate of changes in fibrosis development and regression is still missing.
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Affiliation(s)
- Dhaval Gosalia
- Department of Commercial Strategy and Operations, Glympse Bio, Cambridge, MA 02140, USA
| | - Vlad Ratziu
- Department of Medicine, Medicine Sorbonne University, 75013 Paris, France
| | - Filip Stanicic
- Health Economics and Outcomes Research Department, ZRx Outcomes Research Inc., Mississauga, ON L5A 2X7, Canada
| | - Djurdja Vukicevic
- Health Economics and Outcomes Research Department, ZRx Outcomes Research Inc., Mississauga, ON L5A 2X7, Canada
| | - Vladimir Zah
- Health Economics and Outcomes Research Department, ZRx Outcomes Research Inc., Mississauga, ON L5A 2X7, Canada
| | - Nadege Gunn
- Department of Hepatology, Impact Research Institute, Waco, TX 76710, USA
| | - Dina Halegoua-DeMarzio
- Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Tram Tran
- Department of Medicine, UCLA Santa Monica Medical Center, Santa Monica, CA 90404, USA
- Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA
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Muacevic A, Adler JR. Accuracy of Ultrasonography vs. Elastography in Patients With Non-alcoholic Fatty Liver Disease: A Systematic Review. Cureus 2022; 14:e29967. [PMID: 36381908 PMCID: PMC9637432 DOI: 10.7759/cureus.29967] [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: 08/31/2022] [Accepted: 10/05/2022] [Indexed: 01/25/2023] Open
Abstract
Ultrasonography and elastography are the most widely used imaging modalities for diagnosing non-alcoholic fatty liver disease. This study aimed to assess and compare the diagnostic accuracy in patients with non-alcoholic fatty liver disease/non-alcoholic steatohepatitis. This systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search was done for the past seven years using Pubmed, Pubmed Central, Cochrane, and Google Scholar databases on Jun 29, 2022. Studies were included based on the following predefined criteria: observational studies, randomized controlled trial (RCT), comparative studies, studies using liver biopsy or MRI proton density fat fraction (MRI PDFF) as a reference standard, ultrasonography, and elastography with measures of their diagnostic accuracy like sensitivity (SN), specificity (SP), area under the receiver operating characteristic (AUROC) curve, and English language. The data were extracted on a predefined template. The final twelve eligible studies were assessed using the quality assessment of diagnostic accuracy tool (QUADS-2). Most studies focused on elastography techniques, and the remaining focused on quantitative ultrasonography methods like the controlled attenuation parameter (CAP) and attenuation coefficient (AC). Only one study was available for the evaluation of qualitative ultrasonography. MRI was generally found superior to other diagnostic tests for determining liver stiffness through magnetic resonance elastography (MRE) and steatosis through MRI PDFF. Data assessing the comparative diagnostic accuracy of the two tests were inconclusive.
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Guan X, Chen YC, Xu HX. New horizon of ultrasound for screening and surveillance of non-alcoholic fatty liver disease spectrum. Eur J Radiol 2022; 154:110450. [PMID: 35917757 DOI: 10.1016/j.ejrad.2022.110450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/01/2022] [Accepted: 07/19/2022] [Indexed: 12/07/2022]
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Venkatesh SK, Torbenson MS. Liver fibrosis quantification. Abdom Radiol (NY) 2022; 47:1032-1052. [PMID: 35022806 DOI: 10.1007/s00261-021-03396-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 12/14/2022]
Abstract
Liver fibrosis (LF) is the wound healing response to chronic liver injury. LF is the endpoint of chronic liver disease (CLD) regardless of etiology and the single most important determinant of long-term liver-related clinical outcomes. Quantification of LF is important for staging, to evaluate response to treatment and to predict outcomes. LF is traditionally staged by liver biopsy. However, liver biopsy is invasive and suffers from sampling errors when biopsy size is inadequate; therefore, non-invasive tests (NITs) have found important roles in clinical care. NITs include simple laboratory-based serum tests, panels of serum tests, and imaging biomarkers. NITs are validated against the liver biopsy and will be used in the future for evaluation of nearly all CLDs with invasive liver biopsy reserved for some cases. Both serum tests and some imaging biomarkers such as elastography are currently used clinically as surrogate markers for LF. Several other imaging biomarkers are still considered research and awaiting clinical application in the future. As the evaluation of imaging biomarkers will likely become the norm in the future, understanding pathogenesis of LF is important. Knowledge of properties measured by imaging biomarkers and its correlation with LF is important to understand the application of NITs by abdominal radiologists. In this review, we present a brief overview of pathogenesis of LF, spatiotemporal evolution of LF in different CLD, and severity assessment with liver biopsy. This will be followed by a brief discussion on properties measured by imaging biomarkers and their relationship to the LF.
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Affiliation(s)
- Sudhakar K Venkatesh
- Abdominal Imaging Division, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA.
| | - Michael S Torbenson
- Anatomic Pathology Division, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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