Evidence map›Paper›PMID 28989564›Full record

ReviewWorld journal of hepatology2017

Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates.

Anuradha Shenoy-Bhangle, Vinit Baliyan, Hamed Kordbacheh, Alexander R Guimaraes, Avinash Kambadakone

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.6field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

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  16. Imaging of the Liver and Pancreas: The Added Value of MRI.Diagnostics (Basel, Switzerland) · 2024
    Review
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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

5 authors at 3 institutions in 1 country.

Anuradha Shenoy-BhangleBeth Israel Deaconess Medical Center, Boston, MA 02215, United States.
Vinit BaliyanHarvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, Boston, MA 02114, United States.
Hamed KordbachehHarvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, Boston, MA 02114, United States.
Alexander R GuimaraesOregon Health and Science University, Portland, OR 97239, United States.
Avinash KambadakoneHarvard Medical School, Abdominal Imaging and Interventional Radiology, Massachusetts General Hospital, Boston, MA 02114, United States. akambadakone@mgh.harvard.edu.
Massachusetts General Hospital · USOregon Health & Science University · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion-weighted imaging (DWI), a functional imaging technique exploiting the Brownian motion of water molecules, is increasingly shown to have value in various oncological and non-oncological applications. Factors such as the ease of acquisition and ability to obtain functional information in the absence of intravenous contrast, especially in patients with abnormal renal function, have contributed to the growing interest in exploring clinical applications of DWI. In the liver, DWI demonstrates a gamut of clinical applications ranging from detecting focal liver lesions to monitoring response in patients undergoing serial follow-up after loco-regional and systemic therapies. DWI is also being applied in the evaluation of diffuse liver diseases such as non-alcoholic fatty liver disease, hepatic fibrosis and cirrhosis. In this review, we intend to review the basic principles, technique, current clinical applications and future trends of DW-MRI in the liver.

Indexed as

Diffuse liver diseaseDiffusion weighted imagingFocal liver lesionLiver imagingMagnetic resonance imagingResponse assessment

Identifiers

PMID28989564
PMCPMC5612839
OpenAlexW2756093792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.