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 AtlasDifferentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis
Payabvash S, Brackett A, Forghani R, Malhotra A. Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis. Neuroradiology 2019, 61: 897-910. PMID: 31175398, DOI: 10.1007/s00234-019-02236-7.Peer-Reviewed Original ResearchMeSH KeywordsDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingHead and Neck NeoplasmsHumansLymphadenopathyLymphatic MetastasisConceptsCervical lymph nodesAverage apparent diffusion coefficientStandardized mean differenceLymph nodesNon-malignant nodesDiagnostic odds ratioCervical lymphadenopathySubgroup analysisADC thresholdSystematic reviewSuspicious cervical lymph nodesUnknown primary cancer siteMean differenceNon-malignant lymphadenopathyCochrane Central RegisterNeck lymph nodesPrimary cancer siteConfidence intervalsSROC AUCRandom-effects modelComprehensive literature searchAverage ADC valueDiffusion-weighted imagingQuantitative diffusion-weighted imagingCentral Register
2015
Differentiation of benign from malignant cervical lymph nodes in patients with head and neck cancer using PET/CT imaging
Payabvash S, Meric K, Cayci Z. Differentiation of benign from malignant cervical lymph nodes in patients with head and neck cancer using PET/CT imaging. Clinical Imaging 2015, 40: 101-105. PMID: 26454617, DOI: 10.1016/j.clinimag.2015.09.001.Peer-Reviewed Original ResearchMeSH KeywordsDiagnosis, DifferentialFemaleFluorodeoxyglucose F18Head and Neck NeoplasmsHumansImage-Guided BiopsyLymph NodesLymphatic DiseasesLymphatic MetastasisMaleMiddle AgedMultimodal ImagingNeckPositron-Emission TomographyRadiopharmaceuticalsRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedConceptsHead/neck cancerCervical lymph nodesMalignant cervical lymph nodesLymph nodesNeck cancerPositron emission tomographySUV maxHigh maximum standardized uptake valueBenign cervical lymph nodesMaximum standardized uptake valueLymph node biopsyMalignant lymph nodesMalignant cervical lymphadenopathyPET/CT imagingStandardized uptake valueSUV max valuesShort-axis diameterCervical lymphadenopathyNode biopsyMalignant lymphadenopathyRetrospective studyPatientsUptake valueEmission tomographyCancer