Evidence map›Paper›PMID 31682155›Full record

SynthesisThe British journal of radiology2020

Radiomic analysis for response assessment in advanced head and neck cancers, a distant dream or an inevitable reality? A systematic review of the current level of evidence.

Amrita Guha, Steve Connor, Mustafa Anjari, Harish Naik, Musib Siddiqui, Gary Cook, Vicky Goh

Abstract readSystematic Review
In one paragraph

Synthesis in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Amrita GuhaSchool of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.
Steve ConnorGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Mustafa AnjariGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Harish NaikGrant Medical college and JJ Group of hospitals, Mumbai, India.
Musib SiddiquiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Gary CookGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Vicky GohGuy's and St Thomas' NHS Foundation Trust, London, United Kingdom.

Funding

Cancer Research UK 16463
6 · The paper itself

Abstract

objectiveThe recent increase in publications on radiomic analysis as means to produce diagnostic and predictive biomarkers in head and neck cancers (HNCC) reveal complicated and often conflicting results. The objective of this paper is to systematically review the published data, and evaluate the current level of evidence accumulated that would determine clinical application.

methods

resultsThough most papers concluded that radiomics is an effective predictive and prognostic biomarker in the management of HNCC, significant heterogeneity exists in the study methodology and statistical modelling; thus precluding accurate mathematical comparison or the ability to make clear recommendations going forwards. Moreover, most studies have not been validated and the reproducibility of their results will be a challenge.

conclusionUntil robust external validation studies on the reproducibility and accuracy of radiomic analysis methods on HNCC are carried out, the current level of evidence remains low, with the authors advising caution against hasty implementation of these tools in the multidisciplinary clinic. ADVANCES IN KNOWLEDGE: This review is the first attempt to critically analyze the merits and demerits of currently published literature on tumour heterogeneity studies in HNCC, and identifies specific loop holes that need to be addressed by research groups, for a meaningful clinical translation of this potential biomarker.

Indexed as

Head and Neck NeoplasmsHumansMagnetic Resonance ImagingPositron Emission Tomography Computed TomographyPrognosisTomography, X-Ray Computed

Identifiers

PMID31682155
PMCPMC7055439

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.