Evidence map›Paper›PMID 34072712›Full record

ArticleCancers2021

Texture Analysis of Fractional Water Content Images Acquired during PET/MRI: Initial Evidence for an Association with Total Lesion Glycolysis, Survival and Gene Mutation Profile in Primary Colorectal Cancer.

Balaji Ganeshan, Kenneth Miles, Asim Afaq, Shonit Punwani, Manuel Rodriguez, Simon Wan, Darren Walls, Luke Hoy, Saif Khan, Raymond Endozo and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

20 authors at 9 institutions in 3 countries.

Balaji GaneshanResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.ORCID 0000-0002-1386-0531
Kenneth MilesResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Asim AfaqImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.
Shonit PunwaniResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Manuel RodriguezImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.ORCID 0000-0001-5007-1761
Simon WanImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.
Darren WallsResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Luke HoyResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Saif KhanImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.
Raymond EndozoImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.
Robert ShortmanImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.ORCID 0000-0003-4657-6235
John HoathResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Aman BhargavaInstitute of Health Barts and London Medical School, Queen Mary University of London (QMUL), London E1 2AD, UK.
Matthew HansonDivision of Cancer and Clinical Support, Barking, Havering and Redbridge University Hospitals NHS Trust, Queens and King George Hospitals, Essex IG3 8YB, UK.
Daren FrancisDepartment of Colorectal Surgery, Royal Free London NHS Foundation Trust, Barnet and Chase Farm Hospitals, London NW3 2QG, UK.
Tan ArulampalamDepartment of Surgery, East Suffolk and North Essex NHS Foundation Trust, Colchester General Hospital, Colchester CO4 5JL, UK.
Sanjay DindyalImaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK.
Shih-Hsin ChenResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
Tony NgSchool of Cancer & Pharmaceutical Sciences, King's College London (KCL), London WC2R 2LS, UK.
Ashley GrovesResearch Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK.
University College London · GBUniversity College Hospital · GBBarking, Havering And Redbridge University Hospitals NHS Trust · GBEast Suffolk and North Essex NHS Foundation Trust · GBKeelung Chang Gung Memorial Hospital · TWKing's College London · GBQueen Mary University of London · GBRoyal Free London NHS Foundation Trust · GBUniversity of Iowa · US

Funding

Cancer Research UK 16463Cancer Research UK 27375Cancer Research UK 28682
6 · The paper itself

Abstract

To assess the capability of fractional water content (FWC) texture analysis (TA) to generate biologically relevant information from routine PET/MRI acquisitions for colorectal cancer (CRC) patients. Thirty consecutive primary CRC patients (mean age 63.9, range 42-83 years) prospectively underwent FDG-PET/MRI. FWC tumor parametric images generated from Dixon MR sequences underwent TA using commercially available research software (TexRAD). Data analysis comprised (1) identification of functional imaging correlates for texture features (TF) with low inter-observer variability (intraclass correlation coefficient: ICC > 0.75), (2) evaluation of prognostic performance for FWC-TF, and (3) correlation of prognostic imaging signatures with gene mutation (GM) profile. Of 32 FWC-TF with ICC > 0.75, 18 correlated with total lesion glycolysis (TLG, highest: r

Indexed as

colorectal cancerDixon sequencemagnetic resonance imagingpositron emission tomographytexture analysis

Identifiers

PMID34072712
PMCPMC8199380
OpenAlexW3164062500

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.