Evidence map›Paper›PMID 28936896›Full record

ArticleThe British journal of radiology2018

Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology.

Timothy Jp Bray, Manil D Chouhan, Shonit Punwani, Alan Bainbridge, Margaret A Hall-Craggs

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

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  3. Artificial gravity protects bone and prevents bone marrow adipose tissue accumulation in humans during 60 d of bed rest.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
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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 1 institution in 1 country.

Timothy Jp Bray1 Centre for Medical Imaging, University College London , University College London , London , UK.
Manil D Chouhan1 Centre for Medical Imaging, University College London , University College London , London , UK.
Shonit Punwani1 Centre for Medical Imaging, University College London , University College London , London , UK.
Alan Bainbridge2 Department of Medical Physics, University College London Hospitals , University College London Hospitals , London , UK.
Margaret A Hall-Craggs
University College London · GB

Funding

Cancer Research UK 16463Versus Arthritis 21369
6 · The paper itself

Abstract

Adipose cells have traditionally been viewed as a simple, passive energy storage depot for triglycerides. However, in recent years it has become clear that adipose cells are highly physiologically active and have a multitude of endocrine, metabolic, haematological and immune functions. Changes in the number or size of adipose cells may be directly implicated in disease (e.g. in the metabolic syndrome), but may also be linked to other pathological processes such as inflammation, malignant infiltration or infarction. MRI is ideally suited to the quantification of fat, since most of the acquired signal comes from water and fat protons. Fat fraction (FF, the proportion of the acquired signal derived from fat protons) has, therefore, emerged as an objective, image-based biomarker of disease. Methods for FF quantification are becoming increasingly available in both research and clinical settings, but these methods vary depending on the scanner, manufacturer, imaging sequence and reconstruction software being used. Careful selection of the imaging method-and correct interpretation-can improve the accuracy of FF measurements, minimize potential confounding factors and maximize clinical utility. Here, we review methods for fat quantification and their strengths and weaknesses, before considering how they can be tailored to specific applications, particularly in the gastrointestinal and musculoskeletal systems. FF quantification is becoming established as a clinical and research tool, and understanding the underlying principles will be helpful to both imaging scientists and clinicians.

Indexed as

AdipocytesAdipose TissueHumansMagnetic Resonance ImagingObesityOsteoporosis

Identifiers

PMID28936896
PMCPMC6223159
OpenAlexW2757111439

What OpenQuestion holds

Textmetadata
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.