Evidence map›Paper›PMID 29657994›Full record

ArticleClinical and translational radiation oncology2017

Study of diffusion weighted MRI as a predictive biomarker of response during radiotherapy for high and

C Paterson, S Allwood-Spiers, I McCrea, J Foster, M McJury, M Thomson, M Sankaralingam, D Grose, A James, M Rizwanullah and 3 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Feasibility of DW-MRI analysis of salivary glands during head and neck radiotherapy.Technical innovations & patient support in radiation oncology · 2021
    Article
  8. 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

13 authors at 4 institutions in 1 country.

C PatersonBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
S Allwood-SpiersDepartment of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
I McCreaDepartment of Radiology, Queen Elizabeth University Hospital, 1345 Govan Road, Glasgow G51 4TF, UK.
J FosterDepartment of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
M McJuryDepartment of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
M ThomsonBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
M SankaralingamDepartment of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Beatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
D GroseBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
A JamesBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
M RizwanullahBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
P McLooneWest of Scotland Cancer Surveillance Unit, University of Glasgow, 1 Lilybank Gardens, Glasgow G12 8RZ, UK.
A ChalmersBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
A DufftonBeatson West of Scotland Cancer Centre, 1053 Great Western Road, Glasgow G12 0YN, UK.
Beatson West of Scotland Cancer Centre · GBNHS Greater Glasgow and Clyde · GBQueen Elizabeth University Hospital · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

backgroundA significant proportion of patients with intermediate and high risk squamous cell cancer of the oropharynx (OPSCC) continue to relapse locally despite radical chemoradiotherapy (CRT). The toxicity of the current combination of intensified dose per fraction radiotherapy and platinum based chemotherapy limits further uniform intensification. If a predictive biomarker for outcomes from CRT can be identified during treatment then individualised and adaptive treatment strategies may be employed. METHODS/

designThe MeRInO study is a prospective observational imaging study of patients with intermediate and high risk, locally advanced OPSCC receiving radical RT or concurrent CRT Patients undergo diffusion weighted MRI prior to treatment (MRI_1) and during the third week of RT (MRI_2). Apparent diffusion coefficient (ADC) measurements will be made on each scan for previously specified target lesions (primary and lymph nodes) and change in ADC calculated. Patients will be followed up and disease status for each target lesion noted. The primary aim of the MeRInO study is to determine the threshold change in ADC from baseline to week 3 of RT that may identify the sub-group of non-responders during treatment. DISCUSSION: The use of DW-MRI as a predictive biomarker during RT for SCC H&N is in its infancy but studies to date have found that response to treatment may indeed be predicted by comparison of DW-MRI carried out before and during treatment. However, previous studies have included all sub-sites and biological sub-types. Establishing ADC thresholds that predict for local failure is an essential step towards using DW-MRI to improve the therapeutic ratio in treating SCC H&N. This would be done most robustly in a specific H&N sub-site and in sub-types with similar biological behaviour. The MeRInO study will help establish these thresholds in OPSCC.

Indexed as

BiomarkerDiffusion MRIFunctional imagingHead and neck cancerOropharynxRadiotherapy

Identifiers

PMID29657994
PMCPMC5893522
OpenAlexW2570568877

What OpenQuestion holds

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Registered trials

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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.