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