{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T22:00:30Z","timestamp":1782856830118,"version":"3.54.5"},"reference-count":34,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:00:00Z","timestamp":1768262400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health and Care Research","doi-asserted-by":"crossref","award":["NIHR302984"],"award-info":[{"award-number":["NIHR302984"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000774","name":"Newcastle University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100000774","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Background\/Objectives: Radiomics, the high-throughput extraction of quantitative features from medical imaging, offers a promising method for identifying laryngeal cancer imaging biomarkers. We aim to systematically review the literature on radiomics in laryngeal squamous cell carcinoma, assessing applications in tumour staging, prognosis, recurrence prediction, and treatment response evaluation. PROSPERO ID: CRD420251117983. Methods: MEDLINE and EMBASE databases were searched in May 2025. 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). Results: Twenty studies met the inclusion criteria, with most using CT-based radiomics. Seven incorporated PET\/CT. Radiomic models demonstrated moderate-to-high accuracy across tasks including T-staging, thyroid cartilage invasion, survival prediction, and local failure. Key predictive features included first-order entropy, skewness, and texture metrics such as size zone non-uniformity and GLCM correlation. Methodological variability, limited external validation, and small samples were frequent limitations. Conclusions: Radiomics holds strong promise as a non-invasive biomarker for laryngeal cancer. However, methodological heterogeneity identified through formal quality assessment indicates that improved standardisation, reproducibility, and multicentre validation are required before widespread clinical implementation.<\/jats:p>","DOI":"10.3390\/cancers18020237","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T08:17:32Z","timestamp":1768292252000},"page":"237","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Radiomics from Routine CT and PET\/CT Imaging in Laryngeal Squamous Cell Carcinoma: A Systematic Review with Radiomics Quality Score Assessment"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9323-3107","authenticated-orcid":false,"given":"Amar","family":"Rajgor","sequence":"first","affiliation":[{"name":"Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"},{"name":"National Institute for Health & Care Research, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"},{"name":"Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Freeman Road, Newcastle-Upon-Tyne NE7 7DN, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2641-3279","authenticated-orcid":false,"given":"Terrenjit","family":"Gill","sequence":"additional","affiliation":[{"name":"Faculty of Life Sciences and Medicine, King\u2019s College London, London SE1 1UL, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2276-6771","authenticated-orcid":false,"given":"Eric","family":"Aboagye","sequence":"additional","affiliation":[{"name":"Imperial College London Cancer Imaging Centre, Department of Surgery & Cancer, Hammersmith Hospital, London W12 0HS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7400-6064","authenticated-orcid":false,"given":"Aileen","family":"Mill","sequence":"additional","affiliation":[{"name":"Modelling, Evidence and Policy, School of Natural and Environmental Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8443-5228","authenticated-orcid":false,"given":"Stephen","family":"Rushton","sequence":"additional","affiliation":[{"name":"Modelling, Evidence and Policy, School of Natural and Environmental Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4084-7778","authenticated-orcid":false,"given":"Boguslaw","family":"Obara","sequence":"additional","affiliation":[{"name":"School of Computing, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9653-6453","authenticated-orcid":false,"given":"David Winston","family":"Hamilton","sequence":"additional","affiliation":[{"name":"Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-Upon-Tyne NE1 7RU, UK"},{"name":"Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Freeman Hospital, Freeman Road, Newcastle-Upon-Tyne NE7 7DN, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","article-title":"Radiomics: The Bridge between Medical Imaging and Personalized Medicine","volume":"14","author":"Lambin","year":"2017","journal-title":"Nat. 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Intell."}],"container-title":["Cancers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-6694\/18\/2\/237\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T05:28:12Z","timestamp":1768454892000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-6694\/18\/2\/237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,13]]},"references-count":34,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,1]]}},"alternative-id":["cancers18020237"],"URL":"https:\/\/doi.org\/10.3390\/cancers18020237","relation":{},"ISSN":["2072-6694"],"issn-type":[{"value":"2072-6694","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,13]]}}}