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Advanced MRI of Liver Fibrosis and Treatment Response in a Rat Model of Nonalcoholic Steatohepatitis.
Zhou, Iris Y; Clavijo Jordan, Veronica; Rotile, Nicholas J; Akam, Eman; Krishnan, Smitha; Arora, Gunisha; Krishnan, Hema; Slattery, Hannah; Warner, Noah; Mercaldo, Nathaniel; Farrar, Christian T; Wellen, Jeremy; Martinez, Robert; Schlerman, Franklin; Tanabe, Kenneth K; Fuchs, Bryan C; Caravan, Peter.
Afiliação
  • Zhou IY; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Clavijo Jordan V; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Rotile NJ; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Akam E; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Krishnan S; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Arora G; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Krishnan H; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Slattery H; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Warner N; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Mercaldo N; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Farrar CT; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Wellen J; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Martinez R; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Schlerman F; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Tanabe KK; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Fuchs BC; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
  • Caravan P; From the Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging (I.Y.Z., V.C.J., N.J.R., E.A., H.K., H.S., N.W., C.T.F., P.C.), Division of Surgical Oncology (S.K., G.A., K.K.T., B.C.F.), and Institute for Technology Assessment, Department o
Radiology ; 296(1): 67-75, 2020 07.
Article em En | MEDLINE | ID: mdl-32343209
ABSTRACT
Background Liver biopsy is the reference standard to diagnose nonalcoholic steatohepatitis (NASH) but is invasive with potential complications. Purpose To evaluate molecular MRI with type 1 collagen-specific probe EP-3533 and allysine-targeted fibrogenesis probe Gd-Hyd, MR elastography, and native T1 to characterize fibrosis and to assess treatment response in a rat model of NASH. Materials and Methods MRI was performed prospectively (June-November 2018) in six groups of male Wistar rats (a) age- and (b) weight-matched animals received standard chow (n = 12 per group); (c) received choline-deficient, l-amino acid-defined, high-fat diet (CDAHFD) for 6 weeks or (d) 9 weeks (n = 8 per group); (e) were fed 6 weeks of CDAHFD and switched to standard chow for 3 weeks (n = 12); (f) were fed CDAHFD for 9 weeks with daily treatment of elafibranor beginning at week 6 (n = 14). Differences in imaging measurements and tissue analyses among groups were tested with one-way analysis of variance. The ability of each imaging measurement to stage fibrosis was quantified by using area under the receiver operating characteristic curve (AUC) with quantitative digital pathology (collagen proportionate area [CPA]) as reference standard. Optimal cutoff values for distinguishing advanced fibrosis were used to assess treatment response. Results AUC for distinguishing fibrotic (CPA >4.8%) from nonfibrotic (CPA ≤4.8%) livers was 0.95 (95% confidence interval [CI] 0.91, 1.00) for EP-3533, followed by native T1, Gd-Hyd, and MR elastography with AUCs of 0.90 (95% CI 0.83, 0.98), 0.84 (95% CI 0.74, 0.95), and 0.65 (95% CI 0.51, 0.79), respectively. AUCs for discriminating advanced fibrosis (CPA >10.3%) were 0.86 (95% CI 0.76, 0.97), 0.96 (95% CI 0.90, 1.01), 0.84 (95% CI 0.70, 0.98), and 0.74 (95% CI 0.63, 0.86) for EP-3533, Gd-Hyd, MR elastography, and native T1, respectively. Gd-Hyd MRI had the highest accuracy (24 of 26, 92%; 95% CI 75%, 99%) in identifying responders and nonresponders in the treated groups compared with MR elastography (23 of 26, 88%; 95% CI 70%, 98%), EP-3533 (20 of 26, 77%; 95% CI 56%, 91%), and native T1 (14 of 26, 54%; 95% CI 33%, 73%). Conclusion Collagen-targeted molecular MRI most accurately detected early onset of fibrosis, whereas the fibrogenesis probe Gd-Hyd proved most accurate for detecting treatment response. © RSNA, 2020 Online supplemental material is available for this article.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Hepatopatia Gordurosa não Alcoólica / Cirrose Hepática Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Hepatopatia Gordurosa não Alcoólica / Cirrose Hepática Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article