{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T10:35:22Z","timestamp":1788431722594,"version":"build-2803163510"},"reference-count":44,"publisher":"Oxford University Press (OUP)","issue":"1128","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BJR"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:sec><jats:title>Objectives:<\/jats:title><jats:p>Radiomics is the conversion of medical images into quantitative high-dimensional data. Laryngeal cancer, one of the most common head and neck cancers, has risen globally by 58.7%. CT, MRI and PET are acquired during the diagnostic process providing potential data for radiomic analysis and correlation with outcomes. This review aims to examine the applications of this technique to laryngeal cancer and the future considerations for translation into clinical practice.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods:<\/jats:title><jats:p>A comprehensive systematic review-informed search of the MEDLINE and EMBASE databases was undertaken. Keywords \u201claryngeal cancer\u201d OR \u201clarynx\u201c OR \u201clarynx cancer\u201d OR \u201chead and neck cancer\u201d were combined with \u201cradiomic\u201d OR \u201csignature\u201d OR \u201cmachine learning\u201d OR \u201cartificial intelligence\u201d. Additional articles were obtained from bibliographies using the \u201csnowball method\u201d.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results:<\/jats:title><jats:p>The included studies (n = 15) demonstrated that radiomic features are significantly associated with various clinical outcomes (including stage, overall survival, treatment response, progression-free survival) and that predictive models incorporating radiomic features are superior to those that do not. Two studies demonstrated radiomics could improve laryngeal cancer staging whilst 12 studies affirmed its predictive capability for clinical outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions:<\/jats:title><jats:p>Radiomics has potential for improving multiple aspects of laryngeal cancer care; however, the heterogeneous cohorts and lack of data on laryngeal cancer exclusively inhibits firm conclusions. Large prospective well-designed studies in laryngeal cancer are required to progress this field. Furthermore, to implement radiomics into clinical practice, a unified research effort is required to standardise radiomics practice.<\/jats:p><\/jats:sec><jats:sec><jats:title>Advances in knowledge:<\/jats:title><jats:p>This review has highlighted the value of radiomics in enhancing laryngeal cancer care (including staging, prognosis and predicting treatment response).<\/jats:p><\/jats:sec>","DOI":"10.1259\/bjr.20210499","type":"journal-article","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T17:54:07Z","timestamp":1632938047000},"source":"Crossref","is-referenced-by-count":26,"title":["The application of radiomics in laryngeal cancer"],"prefix":"10.1093","volume":"94","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9323-3107","authenticated-orcid":false,"given":"Amarkumar Dhirajlal","family":"Rajgor","sequence":"first","affiliation":[{"name":"Otolaryngology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"},{"name":"Applied Cancer Therapeutics and Outcomes, Newcastle University, Newcastle Upon Tyne, UK"},{"name":"National Institute for Health Research, Academic Clinical Fellow, Newcastle University, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shreena","family":"Patel","sequence":"additional","affiliation":[{"name":"East of England NHS Foundation Trainee, Bedfordshire, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"McCulloch","sequence":"additional","affiliation":[{"name":"Radiology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boguslaw","family":"Obara","sequence":"additional","affiliation":[{"name":"School of Computing, Newcastle University, Urban Sciences Building, Newcastle upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaume","family":"Bacardit","sequence":"additional","affiliation":[{"name":"School of Computing, Newcastle University, Urban Sciences Building, Newcastle upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"McQueen","sequence":"additional","affiliation":[{"name":"Radiology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"Aboagye","sequence":"additional","affiliation":[{"name":"Imperial College London Cancer Imaging Centre, Department of Surgery & Cancer, Hammersmith Hospital, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tamir","family":"Ali","sequence":"additional","affiliation":[{"name":"Radiology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"O\u2019Hara","sequence":"additional","affiliation":[{"name":"Otolaryngology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"},{"name":"Applied Cancer Therapeutics and Outcomes, Newcastle University, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David Winston","family":"Hamilton","sequence":"additional","affiliation":[{"name":"Otolaryngology Department, Newcastle-Upon-Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK"},{"name":"Applied Cancer Therapeutics and Outcomes, Newcastle University, Newcastle Upon Tyne, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","reference":[{"key":"b1","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2016.5688"},{"key":"b3","doi-asserted-by":"publisher","DOI":"10.21147\/j.issn.1000-9604.2020.01.03"},{"key":"b4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40618-3"},{"key":"b5","unstructured":"National Cancer Intelligence Network. 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