Evidence map›Paper›PMID 28672007›Full record

ArticlePloS one2017

Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study.

Timothy J P Bray, Saurabh Singh, Arash Latifoltojar, Kannan Rajesparan, Farzana Rahman, Priya Narayanan, Sahar Naaseri, Andre Lopes, Alan Bainbridge, Shonit Punwani and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  5. Article
  6. Advanced Imaging in Multiple Myeloma: New Frontiers for MRI.Diagnostics (Basel, Switzerland) · 2022
    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

11 authors at 3 institutions in 1 country.

Timothy J P BrayCentre for Medical Imaging, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8886-5356
Saurabh SinghCentre for Medical Imaging, University College London, London, United Kingdom.
Arash LatifoltojarCentre for Medical Imaging, University College London, London, United Kingdom.
Kannan RajesparanCentre for Medical Imaging, University College London, London, United Kingdom.
Farzana RahmanCentre for Medical Imaging, University College London, London, United Kingdom.
Priya NarayananCentre for Medical Imaging, University College London, London, United Kingdom.
Sahar NaaseriCentre for Medical Imaging, University College London, London, United Kingdom.
Andre LopesCancer Research UK and UCL Clinical Trials Centre, London, United Kingdom.
Alan BainbridgeMedical Physics Department, University College London Hospitals, London, United Kingdom.
Shonit PunwaniCentre for Medical Imaging, University College London, London, United Kingdom.
Margaret A Hall-CraggsCentre for Medical Imaging, University College London, London, United Kingdom.
University College London · GBCancer Research UK · GBRoyal London Hospital · GB

Funding

Cancer Research UK 15953
6 · The paper itself

Abstract

objectiveTo determine which of four Dixon image types [in-phase (IP), out-of-phase (OP), fat only (FO) and water-only (WO)] is most sensitive for detecting multiple myeloma (MM) focal lesions on whole body MRI (WB-MRI) images.

methodsThirty patients with clinically-suspected MM underwent WB-MRI at 3 Tesla. Unenhanced IP, OP, FO and WO Dixon images were generated and read by four radiologists. On each image type, each radiologist identified and labelled all visible myeloma lesions in the bony pelvis. Each identified lesion was compared with a reference standard consisting of pre- and post-contrast Dixon and diffusion weighted imaging (read by a further consultant radiologist) to determine whether the lesion was truly positive. Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.

resultsLesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05). DISCUSSION: FO images are more sensitive than other Dixon image types for MM focal lesions, and should be preferentially read by radiologists to improve diagnostic accuracy and reporting efficiency.

Indexed as

AdultAgedAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple MyelomaProspective Studies

Identifiers

PMID28672007
PMCPMC5495520
OpenAlexW2731607811

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.