Radiomics from Routine CT and PET/CT Imaging in Laryngeal Squamous Cell Carcinoma: A Systematic Review with Radiomics Quality Score Assessment.

Amar Rajgor, Terrenjit Gill, Eric Aboagye, Aileen Mill, Stephen Rushton, Boguslaw Obara, David Winston Hamilton

Abstract readReview

In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amar RajgorPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.ORCID 0000-0002-9323-3107

Terrenjit GillFaculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK.ORCID 0009-0002-2641-3279

Eric AboagyeImperial College London Cancer Imaging Centre, Department of Surgery & Cancer, Hammersmith Hospital, London W12 0HS, UK.ORCID 0000-0003-2276-6771

Aileen MillModelling, Evidence and Policy, School of Natural and Environmental Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.ORCID 0000-0002-7400-6064

Stephen RushtonModelling, Evidence and Policy, School of Natural and Environmental Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.ORCID 0000-0001-8443-5228

Boguslaw ObaraSchool of Computing, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.ORCID 0000-0003-4084-7778

David Winston HamiltonPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK.ORCID 0000-0002-9653-6453

Funding

National Institute for Health and Care Research (NIHR) NIHR302984

6 · The paper itself

Abstract

PROSPERO ID: CRD420251117983. INCLUSION CRITERIA: studies published between 1 January 2010 and 31 January 2024, extracted radiomic features from CT, PET/CT, or MRI, and analysed outcomes related to diagnosis, staging, survival, recurrence, or treatment response in laryngeal cancer. EXCLUSION CRITERIA: case reports, abstracts, editorials, reviews, or conference proceedings, exclusive focus on preclinical or animal models, lack of a clear radiomics methodology, or did not include imaging-based feature extraction. Results were synthesised narratively by modelling objective, alongside formal assessment of methodological quality using the Radiomics Quality Score (RQS).

Indexed as

artificial intelligencebiomarkershead and neck cancerlaryngeal cancerlarynxradiomicstreatment outcome

Identifiers

PMID41595157

DOI10.3390/cancers18020237

PMCPMC12839367

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.