Evidence map›Paper›PMID 33956510›Full record

ArticleDento maxillo facial radiology2021

Apparent diffusion coefficient agreement and reliability using different region of interest methods for the evaluation of head and neck cancer post chemo-radiotherapy.

Mustafa Anjari, Amrita Guha, Christian Burd, Marta Varela, Vicky Goh, Steve Connor

Open access · hybridAbstract read
In one paragraph

Article in Dento maxillo facial radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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

6 authors at 2 institutions in 2 countries.

Mustafa AnjariDepartment of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Amrita GuhaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Christian BurdDepartment of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Marta VarelaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Vicky GohDepartment of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Steve ConnorDepartment of Radiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Guy's and St Thomas' NHS Foundation Trust · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPost chemoradiotherapy (CRT) interval changes in apparent diffusion coefficient (ADC) have prognostic value in head and neck squamous cell cancer (HNSCC). The impact of using different region of interest (ROI) methods on interobserver agreement and their ability to reliably detect the changes in the ADC values was assessed.

methodsFollowing ethical approval, 25 patients (mean age 59.5 years, 21 male) with stage 3-4 HNSCC undergoing CRT were recruited for this prospective cohort study. Diffusion weighted MRI (DW-MRI) was performed pre-treatment and at 6 and 12 weeks following CRT. Two radiologists independently delineated ROIs using whole volume (ROI

resultsExcellent agreement was obtained for all ROI methods at pre-treatment (ICC 0.94-0.98) and 6-week post-treatment (ICC 0.94-0.98). At 12-week post-treatment, agreement was excellent (ICC 0.91-0.94) apart from ROI

conclusionsADC

Indexed as

Diffusion Magnetic Resonance ImagingHead and Neck NeoplasmsChemoradiotherapyHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsRetrospective StudiesBiomarkersChemoradiotherapyDiffusion magnetic resonance imagingHead and neck cancerObserver variation

Identifiers

PMID33956510
PMCPMC8474130
OpenAlexW3158663558

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.