Evidence map›Paper›PMID 27721941›Full record

ReviewWorld journal of radiology2016

Diffusion weighted imaging: Technique and applications.

Vinit Baliyan, Chandan J Das, Raju Sharma, Arun Kumar Gupta

Abstract readReview
In one paragraph

Review in World journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

183 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Transplant international : official journal of the European Society for Organ Transplantation · 2024
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123 more citing papers are in PubMed but not listed here.

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

4 authors.

Vinit BaliyanVinit Baliyan, Chandan J Das, Raju Sharma, Arun Kumar Gupta, Department of Radiology, All India Institute of Medical Sciences, New Delhi 110029, India.
Chandan J DasVinit Baliyan, Chandan J Das, Raju Sharma, Arun Kumar Gupta, Department of Radiology, All India Institute of Medical Sciences, New Delhi 110029, India.
Raju SharmaVinit Baliyan, Chandan J Das, Raju Sharma, Arun Kumar Gupta, Department of Radiology, All India Institute of Medical Sciences, New Delhi 110029, India.
Arun Kumar GuptaVinit Baliyan, Chandan J Das, Raju Sharma, Arun Kumar Gupta, Department of Radiology, All India Institute of Medical Sciences, New Delhi 110029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion weighted imaging (DWI) is a method of signal contrast generation based on the differences in Brownian motion. DWI is a method to evaluate the molecular function and micro-architecture of the human body. DWI signal contrast can be quantified by apparent diffusion coefficient maps and it acts as a tool for treatment response evaluation and assessment of disease progression. Ability to detect and quantify the anisotropy of diffusion leads to a new paradigm called diffusion tensor imaging (DTI). DTI is a tool for assessment of the organs with highly organised fibre structure. DWI forms an integral part of modern state-of-art magnetic resonance imaging and is indispensable in neuroimaging and oncology. DWI is a field that has been undergoing rapid technical evolution and its applications are increasing every day. This review article provides insights in to the evolution of DWI as a new imaging paradigm and provides a summary of current role of DWI in various disease processes.

Indexed as

Diffusion tensor imagingDiffusion weighted imagingNeuro-imagingOnco-imaging

Identifiers

PMID27721941
PMCPMC5039674

What OpenQuestion holds

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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.