Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.
Kann BH, Hicks DF, Payabvash S, Mahajan A, Du J, Gupta V, Park HS, Yu JB, Yarbrough WG, Burtness BA, Husain ZA, Aneja S. Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. Journal Of Clinical Oncology 2019, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/jco.19.02031.Peer-Reviewed Original ResearchConceptsNeck squamous cell carcinomaExtranodal extensionSquamous cell carcinomaLymph nodesCell carcinomaContrast-enhanced CT scanDiagnostic abilityBoard-certified neuroradiologistsTreatment escalationCancer Genome AtlasPathologic confirmationPretreatment identificationDiagnostic challengeExternal validation data setsPathology resultsPretreatment imagingPoor prognosticatorClinical utilityCT scanPatientsClinical decisionHNSCCDiagnostic accuracyInstitutional ValidationGenome AtlasExternal Validation and Radiologist Comparison of a Deep Learning Model (DLM) to Identify Extranodal Extension (ENE) in Head and Neck Squamous Cell Carcinoma (HNSCC) with Pretreatment Computed Tomography (CT) Imaging
Kann B, Hicks D, Payabvash S, Mahajan A, Gupta V, Burtness B, Husain Z, Aneja S. External Validation and Radiologist Comparison of a Deep Learning Model (DLM) to Identify Extranodal Extension (ENE) in Head and Neck Squamous Cell Carcinoma (HNSCC) with Pretreatment Computed Tomography (CT) Imaging. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: s71. DOI: 10.1016/j.ijrobp.2019.06.525.Peer-Reviewed Original Research