2023
Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning
Hossain S, Hossain S, Avesta A, Nene A, Maresca R, Aneja S. Development and Validation of MRI Imaging Biomarkers for Prostate Cancer Using Deep Learning. International Journal Of Radiation Oncology • Biology • Physics 2023, 117: e393. DOI: 10.1016/j.ijrobp.2023.06.1517.Peer-Reviewed Original ResearchBiochemical-free survivalSeminal vesicle invasionHigh-risk phenotypeExtraprostatic extensionProstate cancerHigh riskRadical prostatectomyProstate MRILower riskImaging biomarkersNon-invasive imaging biomarkersPost-treatment PSAUnderwent radical prostatectomyIntermediate-risk patientsDiscriminatory abilityLog-rank testAggressive prostate cancerProstate cancer patientsProstate cancer phenotypePersonalization of treatmentMATERIAL/METHODSGood discriminatory abilityMedian followTreatment escalationFree survival
2019
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 Atlas