Evidence map›Paper›PMID 26022693›Full record

ArticleJournal of hepatology2015

3D molecular MR imaging of liver fibrosis and response to rapamycin therapy in a bile duct ligation rat model.

Christian T Farrar, Danielle K DePeralta, Helen Day, Tyson A Rietz, Lan Wei, Gregory Y Lauwers, Boris Keil, Arun Subramaniam, Anthony J Sinskey, Kenneth K Tanabe and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of hepatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 71 citations in OpenAlex.

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  20. Toward Molecular Imaging of Intestinal Pathology.Inflammatory bowel diseases · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Christian T FarrarAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St., Suite 2301, Charlestown, MA 02129, United States.
Danielle K DePeraltaSurgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, WRN 401, 55 Fruit St., Boston, MA 02114, United States.
Helen DayAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St., Suite 2301, Charlestown, MA 02129, United States.
Tyson A RietzAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St., Suite 2301, Charlestown, MA 02129, United States.
Lan WeiSurgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, WRN 401, 55 Fruit St., Boston, MA 02114, United States.
Gregory Y LauwersPathology, Massachusetts General Hospital and Harvard Medical School, WRN 2, 55 Fruit St., Boston, MA 02114, United States.
Boris KeilAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St., Suite 2301, Charlestown, MA 02129, United States.
Arun SubramaniamSanofi Genzyme, 49 New York Ave, Framingham, MA 01701, United States.
Anthony J SinskeyDepartment of Biology, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, United States.
Kenneth K TanabeSurgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, WRN 401, 55 Fruit St., Boston, MA 02114, United States.
Bryan C FuchsSurgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, WRN 401, 55 Fruit St., Boston, MA 02114, United States. Electronic address: bfuchs@mgh.harvard.edu.
Peter CaravanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 Thirteenth St., Suite 2301, Charlestown, MA 02129, United States. Electronic address: caravan@nmr.mgh.harvard.edu.
Athinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USHarvard University · USMassachusetts Institute of Technology · USSanofi (United States) · US

Funding

Stable, High Relaxivity MRI Contrast AgentsR01EB009062 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI CARAVAN, PETER D · 2009 to 2017
$4.9M
Molecular Imaging of Liver FibrosisR01DK104956 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI TANABE, KENNETH K · 2015 to 2019
$2.7M
The Role of EGF in Human Hepatocellular TransformationK01CA140861 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FUCHS, BRYAN CHRISTOPHER · 2009 to 2013
$710k
HPLC-ICP-MS SystemS10OD010650 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CARAVAN, PETER D · 2013 to 2013
$371k
NCI NIH HHS CA140861NCI NIH HHS K01 CA140861NIBIB NIH HHS EB009062NIBIB NIH HHS R01 EB009062NIDDK NIH HHS DK104956NIDDK NIH HHS R01 DK104956NIH HHS S10 OD010650
6 · The paper itself

Abstract

BACKGROUND &

aimsLiver biopsy, the gold standard for assessing liver fibrosis, suffers from limitations due to sampling error and invasiveness. There is therefore a critical need for methods to non-invasively quantify fibrosis throughout the entire liver. The goal of this study was to use molecular Magnetic Resonance Imaging (MRI) of Type I collagen to non-invasively image liver fibrosis and assess response to rapamycin therapy.

methodsLiver fibrosis was induced in rats by bile duct ligation (BDL). MRI was performed 4, 10, or 18 days following BDL. Some BDL rats were treated daily with rapamycin starting on day 4 and imaged on day 18. A three-dimensional (3D) inversion recovery MRI sequence was used to quantify the change in liver longitudinal relaxation rate (ΔR1) induced by the collagen-targeted probe EP-3533. Liver tissue was subjected to pathologic scoring of fibrosis and analyzed for Sirius Red staining and hydroxyproline content.

resultsΔR1 increased significantly with time following BDL compared to controls in agreement with ex vivo measures of increasing fibrosis. Receiver operating characteristic curve analysis demonstrated the ability of ΔR1 to detect liver fibrosis and distinguish intermediate and late stages of fibrosis. EP-3533 MRI correctly characterized the response to rapamycin in 11 out of 12 treated rats compared to the standard of collagen proportional area (CPA). 3D MRI enabled characterization of disease heterogeneity throughout the whole liver.

conclusionsEP-3533 allowed for staging of liver fibrosis, assessment of response to rapamycin therapy, and demonstrated the ability to detect heterogeneity in liver fibrosis.

Indexed as

AnimalsBile DuctsDisease Models, AnimalElasticity Imaging TechniquesLigationLiver Cirrhosis, ExperimentalMagnetic Resonance ImagingMaleRatsROC CurveSirolimusSirolimusBile duct ligation (BDL)EP-3533Liver fibrosisMolecular imagingMRINon-invasiveType I collagen

Identifiers

PMID26022693
PMCPMC4543390
OpenAlexW1491208512

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.