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dc.contributor.authorFuchs, Bryan C.
dc.contributor.authorWang, Huifang
dc.contributor.authorYang, Yan
dc.contributor.authorWei, Lan
dc.contributor.authorPolasek, Miloslav
dc.contributor.authorSchühle, Daniel T.
dc.contributor.authorLauwers, Gregory Y.
dc.contributor.authorParkar, Ashfaq
dc.contributor.authorTanabe, Kenneth K.
dc.contributor.authorCaravan, Peter
dc.contributor.authorSinskey, Anthony J
dc.date.accessioned2016-08-15T17:52:45Z
dc.date.available2016-08-15T17:52:45Z
dc.date.issued2013-11
dc.date.submitted2013-05
dc.identifier.issn01688278
dc.identifier.urihttp://hdl.handle.net/1721.1/103914
dc.descriptionAvailable in PMC 2014 November 01.en_US
dc.description.abstractBackground & Aims: The gold standard in assessing liver fibrosis is biopsy despite limitations like invasiveness and sampling error and complications including morbidity and mortality. Therefore, there is a major unmet medical need to quantify fibrosis non-invasively to facilitate early diagnosis of chronic liver disease and provide a means to monitor disease progression. The goal of this study was to evaluate the ability of several magnetic resonance imaging (MRI) techniques to stage liver fibrosis. Methods: A gadolinium (Gd)-based MRI probe targeted to type I collagen (termed EP-3533) was utilized to non-invasively stage liver fibrosis in a carbon tetrachloride (CCl[subscript 4]) mouse model and the results were compared to other MRI techniques including relaxation times, diffusion, and magnetization transfer measurements. Results: The most sensitive MR biomarker was the change in liver:muscle contrast to noise ratio (ΔCNR) after EP-3533 injection. We observed a strong positive linear correlation between ΔCNR and liver hydroxyproline (i.e. collagen) levels (r = 0.89) as well as ΔCNR and conventional Ishak fibrosis scoring. In addition, the area under the receiver operating curve (AUR0C) for distinguishing early (Ishak ⩽3) from late (Ishak ⩾4) fibrosis was 0.942 ± 0.052 (p <0.001). By comparison, other MRI techniques were not as sensitive to changes in fibrosis in this model. Conclusions: We have developed an MRI technique using a collagen-specific probe for diagnosing and staging liver fibrosis, and validated it in the CCl4 mouse model. This approach should provide a better means to monitor disease progression in patients.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (CA140861)en_US
dc.description.sponsorshipWhitehead Institute for Biomedical Research (Grant EB009062)en_US
dc.description.sponsorshipSanofi Aventis (Firm) (Innovation Award)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jhep.2013.06.026en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleMolecular MRI of collagen to diagnose and stage liver fibrosisen_US
dc.typeArticleen_US
dc.identifier.citationFuchs, Bryan C., Huifang Wang, Yan Yang, Lan Wei, Miloslav Polasek, Daniel T. Schühle, Gregory Y. Lauwers, Ashfaq Parkar, Anthony J. Sinskey, Kenneth K. Tanabe, and Peter Caravan. "Molecular MRI of collagen to diagnose and stage liver fibrosis." Journal of Hepatology 59:5 (November 2013), pp. 992-998.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.mitauthorSinskey, Anthony J.en_US
dc.relation.journalJournal of Hepatologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsFuchs, Bryan C.; Wang, Huifang; Yang, Yan; Wei, Lan; Polasek, Miloslav; Schühle, Daniel T.; Lauwers, Gregory Y.; Parkar, Ashfaq; Sinskey, Anthony J.; Tanabe, Kenneth K.; Caravan, Peteren_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1015-1270
mit.licensePUBLISHER_CCen_US


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