2024
A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer
Lee V, Park H, Aneja S, Patel A. A Comparison of Machine Learning Models to Predict Lymph Node Metastasis with Primary Tumor Transcriptome in Non-Small Cell Lung Cancer. International Journal Of Radiation Oncology • Biology • Physics 2024, 120: e638. DOI: 10.1016/j.ijrobp.2024.07.1402.Peer-Reviewed Original ResearchNon-small cell lung cancerLymph nodal metastasisCell lung cancerMedian AUCNodal metastasisPrimary tumorEndobronchial ultrasoundNon-small cell lung cancer stagingLung cancerDiagnostic uncertaintyPrediction of nodal metastasisPET-avid lesionsTreatment strategy formulationPrimary lung adenocarcinomaEBUS-guided biopsiesLymph node metastasisPrimary tumor tissuesReceiver operating characteristic curveTumor transcriptomic dataPET-CTNode metastasisNeedle aspirationCT scanNon-smallClinical decision-makingLymph node metastasis prediction with non-small cell lung cancer histopathology imaging.
Lee V, King A, Sritharan D, Moore N, Chadha S, Maresca R, Hager T, Aneja S. Lymph node metastasis prediction with non-small cell lung cancer histopathology imaging. Journal Of Clinical Oncology 2024, 42: 8063-8063. DOI: 10.1200/jco.2024.42.16_suppl.8063.Peer-Reviewed Original ResearchNon-small cell lung cancerLymph nodal metastasisNational Lung Screening TrialLymph node metastasisNodal metastasisNode metastasisEndobronchial ultrasound-guided transbronchial needle aspirationUltrasound-guided transbronchial needle aspirationTreatment strategy formulationTransbronchial needle aspirationCell lung cancerDistant metastasis statusLymph node metastasis predictionPrimary tumor dataHematoxylin and eosin (H&EInvasive diagnostic techniquesInfluence clinical decisionsN0 diseaseN3 diseaseEosin (H&EPrimary resectionDistant metastasisPET-CTNeedle aspirationCT scan
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