2019
Differentiation 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 RegisterQuantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis
Payabvash S, Chan A, Maralani P, Malhotra A. Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis. The Neuroradiology Journal 2019, 32: 232-240. PMID: 31084347, PMCID: PMC6639646, DOI: 10.1177/1971400919849808.Peer-Reviewed Original ResearchConceptsNeck squamous cell carcinomaDiffusion-weighted imagingHPV-positive HNSCCSquamous cell carcinomaHPV-negative HNSCCPrimary tumor lesionsStandardized mean differenceQuantitative diffusion magnetic resonancePrimary lesionHPV statusTumor lesionsAverage ADCDiffusion magnetic resonanceMean differenceHiggins' inconsistency indexHuman papillomavirus (HPV) statusHuman papillomavirus infectionApparent diffusion coefficient (ADC) valuesRandom-effects modelNoninvasive imaging biomarkerComprehensive literature searchAverage ADC valueEcho-planar diffusion-weighted imagingFixed-effects modelPapillomavirus infection
2018
Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks
Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Scientific Reports 2018, 8: 14036. PMID: 30232350, PMCID: PMC6145900, DOI: 10.1038/s41598-018-32441-y.Peer-Reviewed Original ResearchConceptsExtranodal extensionNodal metastasisPatient managementNeck cancer patient managementBlinded test setClinical decision-making toolCancer patient managementNeck cancer managementPostoperative pathologyPretreatment identificationCancer managementMetastasisRadiographic identificationCharacteristic curveCliniciansConvolutional neural networkHuman cliniciansNeural networkHeadDeep learning convolutional neural networkLymphDeep learning neural network