Non-invasive assessment of liver disease in rats using multiparametric magnetic resonance imaging: a feasibility study

被引:16
|
作者
Hoy, Anna M. [1 ]
McDonald, Natasha [1 ]
Lennen, Ross J. [2 ,3 ]
Milanesi, Matteo [4 ]
Herlihy, Amy H. [4 ]
Kendall, Timothy J. [1 ,5 ]
Mungall, William [6 ]
Gyngell, Michael [4 ]
Banerjee, Rajarshi [4 ]
Janiczek, Robert L. [7 ]
Murphy, Philip S. [7 ]
Jansen, Maurits A. [2 ,3 ]
Fallowfield, Jonathan A. [1 ]
机构
[1] Univ Edinburgh, Ctr Inflammat Res, MRC, Edinburgh EH16 4TJ, Midlothian, Scotland
[2] Univ Edinburgh, Ctr Cardiovasc Sci, BHF, Edinburgh EH16 4TJ, Midlothian, Scotland
[3] Univ Edinburgh, EPI, Edinburgh EH16 4TJ, Midlothian, Scotland
[4] Perspectum Diagnost, Oxford OX1 2ET, England
[5] Univ Edinburgh, Div Pathol, Edinburgh EH16 4SA, Midlothian, Scotland
[6] Univ Edinburgh, Biomed Res Resources, Edinburgh EH16 4SB, Midlothian, Scotland
[7] GlaxoSmithKline Expt Med Imaging, Stevenage SG1 2NY, Herts, England
来源
BIOLOGY OPEN | 2018年 / 7卷 / 07期
基金
英国惠康基金;
关键词
Chronic liver disease; Rat; Multiparametric MRI; QUANTIFICATION; FAT; ELASTOGRAPHY; VALIDATION; FIBROSIS; IRON;
D O I
10.1242/bio.033910
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Non-invasive quantitation of liver disease using multiparametric magnetic resonance imaging (MRI) could refine clinical care pathways, trial design and preclinical drug development. The aim of this study was to evaluate the use of multiparametric MRI in experimental models of liver disease. Liver injury was induced in rats using 4 or 12 weeks of carbon tetrachloride (CCl4) intoxication and 4 or 8 weeks on a methionine and choline deficient (MCD) diet. Liver MRI was performed using a 7.0 Tesla small animal scanner at baseline and specified timepoints after liver injury. Multiparametric liver MRI parameters [T1 mapping, T2* mapping and proton density fat fraction (PDFF)] were correlated with gold standard histopathological measures. Mean hepatic T1 increased significantly in rats treated with CCl4 for 12 weeks compared to controls [1122 +/- 78 ms versus 959 +/- 114 ms; d=162.7, 95% CI (11.92, 313.4), P=0.038] and correlated strongly with histological collagen content (r(s)= 0.717, P=0.037). In MCD diet-treated rats, hepatic PDFF correlated strongly with histological fat content (r(s)=0.819, P<0.0001), steatosis grade (r(s)=0.850, P<0.0001) and steatohepatitis score (r(s)=0.818, P<0.0001). Although there was minimal histological iron, progressive fat accumulation in MCD diet-treated livers significantly shortened T2*. In preclinical models, quantitative MRI markers correlated with histopathological assessments, especially for fatty liver disease. Validation in longitudinal studies is required. This article has an associated First Person interview with the first author of the paper.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Serum cytokines, adipokines and ferritin for non-invasive assessment of liver fibrosis in chronic liver disease: a systematic review
    Haghgoo, Seyyed Mortaza
    Sharafi, Heidar
    Alavian, Seyed Moayed
    CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2019, 57 (05) : 577 - 610
  • [42] Non-Invasive Assessment of Liver Fibrosis in Hepatitis B Patients
    Bera, Chinmay
    Hamdan-Perez, Nashla
    Patel, Keyur
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (04)
  • [43] Multiparametric Magnetic Resonance Imaging and Magnetic Resonance Elastography to Evaluate the Early Effects of Bariatric Surgery on Nonalcoholic Fatty Liver Disease
    Tan, Hong Chang
    Shumbayawonda, Elizabeth
    Beyer, Cayden
    Cheng, Lionel Tim-Ee
    Low, Albert
    Lim, Chin Hong
    Eng, Alvin
    Chan, Weng Hoong
    Lee, Phong Ching
    Tay, Mei Fang
    Kin, Stella
    Chang, Jason Pik Eu
    Bee, Yong Mong
    Goh, George Boon Bee
    INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2023, 2023
  • [44] Non-invasive assessment of metabolic dysfunction-associated fatty liver disease
    Chandra Kumar, C. Vikneshwaran
    Skantha, Ruben
    Chan, Wah-Kheong
    THERAPEUTIC ADVANCES IN ENDOCRINOLOGY AND METABOLISM, 2022, 13
  • [45] Quantitative magnetic resonance imaging for chronic liver disease
    Cunha, Guilherme Moura
    Navin, Patrick J.
    Fowler, Kathryn J.
    Venkatesh, Sudhakar K.
    Ehman, Richard L.
    Sirlin, Claude B.
    BRITISH JOURNAL OF RADIOLOGY, 2021, 94 (1121)
  • [46] Interim assessment of liver damage in patients with sickle cell disease using new non-invasive techniques
    Drasar, Emma
    Fitzpatrick, Emer
    Gardner, Kate
    Awogbade, Moji
    Dhawan, Anil
    Bomford, Adrian
    Suddle, Abid
    Thein, Swee L.
    BRITISH JOURNAL OF HAEMATOLOGY, 2017, 176 (04) : 643 - 650
  • [47] Non-invasive imaging biomarkers for liver steatosis in non-alcoholic fatty liver disease: present and future
    Alnimer, Lynna
    Noureddin, Mazen
    CLINICAL AND MOLECULAR HEPATOLOGY, 2023, 29 (02) : 394 - 397
  • [48] STEATO-SCORE: NON-INVASIVE QUANTITATIVE ASSESSMENT OF LIVER FAT BY ULTRASOUND IMAGING
    Di Lascio, Nicole
    Avigo, Cinzia
    Salvati, Antonio
    Martini, Nicola
    Ragucci, Monica
    Monti, Serena
    Prinster, Anna
    Chiappino, Dante
    Mancini, Marcello
    D'Elia, Domenico
    Ghiadoni, Lorenzo
    Bonino, Ferruccio
    Brunetto, Maurizia R.
    Faita, Francesco
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2018, 44 (08) : 1585 - 1596
  • [49] Imaging-based non-invasive liver disease assessment for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline
    Duarte-Rojo, Andres
    Taouli, Bachir
    Leung, Daniel H.
    Levine, Deborah
    Nayfeh, Tarek
    Hasan, Bashar
    Alsawaf, Yahya
    Saadi, Samer
    Majzoub, Abdul Mounaem
    Manolopoulos, Apostolos
    Hafar, Samir
    Dundar, Ayca
    Murad, M. Hassan
    Rockey, Don C.
    Alsawas, Mouaz
    Sterling, Richard K.
    HEPATOLOGY, 2024,
  • [50] Non-invasive quantification of hepatic fat content in healthy dogs by using proton magnetic resonance spectroscopy and dual gradient echo magnetic resonance imaging
    Del Chicca, Francesca
    Schwarz, Andrea
    Meier, Dieter
    Grest, Paula
    Liesegang, Annette
    Kircher, Patrick R.
    JOURNAL OF VETERINARY SCIENCE, 2018, 19 (04) : 570 - 576