2024
Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers
Haider S, Zeevi T, Sharaf K, Gross M, Mahajan A, Kann B, Judson B, Prasad M, Burtness B, Aboian M, Canis M, Reichel C, Baumeister P, Payabvash S. Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266637. PMID: 38514087, DOI: 10.2967/jnumed.123.266637.Peer-Reviewed Original ResearchOropharyngeal squamous cell carcinomaSquamous cell carcinomaHuman papillomavirusRadiomic featuresIntraclass correlation coefficientCell carcinomaLentiform nucleusHuman papillomavirus statusReceiver-operating-characteristic analysisReceiver-operating-characteristic curvePET radiomic featuresUnivariate logistic regressionF-FDGPrimary tumorTraining cohortValidation cohortRadiomic biomarkersUnivariate analysisInterindividual comparabilityPredictive valueDegree of reproducibilityMedian areaRadiomic markersLogistic regressionAUC
2021
Devising novel imaging biomarkers for Human Papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC): applying radiomics and machine learning algorithms
Haider S, Mahajan A, Zeevi T, Forghani R, Kann B, Judson B, Burtness B, Sharaf K, Reichel C, Baumeister P, Payabvash S. Devising novel imaging biomarkers for Human Papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC): applying radiomics and machine learning algorithms. Laryngo-Rhino-Otologie 2021, 100: s99. DOI: 10.1055/s-0041-1727889.Peer-Reviewed Original Research
2020
Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics
Haider SP, Sharaf K, Zeevi T, Baumeister P, Reichel C, Forghani R, Kann BH, Petukhova A, Judson BL, Prasad ML, Liu C, Burtness B, Mahajan A, Payabvash S. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Translational Oncology 2020, 14: 100906. PMID: 33075658, PMCID: PMC7568193, DOI: 10.1016/j.tranon.2020.100906.Peer-Reviewed Original ResearchOropharyngeal squamous cell carcinomaLocoregional progressionSquamous cell carcinomaRisk stratificationCell carcinomaPrimary tumorBaseline PET/CT scansPET/CT scansBaseline PET/CTKaplan-Meier analysisPET/CT RadiomicsMetastatic cervical lymphPET/CTObjective imaging biomarkersLog-rank p-valueMedian C-indexCervical lymphCT radiomic featuresLocoregional failurePatient selectionTherapeutic challengeObjective biomarkersC-indexCT scanIndependent cohortPotential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma
Haider SP, Zeevi T, Baumeister P, Reichel C, Sharaf K, Forghani R, Kann BH, Judson BL, Prasad ML, Burtness B, Mahajan A, Payabvash S. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers 2020, 12: 1778. PMID: 32635216, PMCID: PMC7407414, DOI: 10.3390/cancers12071778.Peer-Reviewed Original ResearchOropharyngeal squamous cell carcinomaProgression-free survivalPositron emission tomographySquamous cell carcinomaOverall survivalC-indexRisk stratificationCell carcinomaSurvival prognosticationHPV-negative oropharyngeal squamous cell carcinomaPre-treatment PET/CTMetastatic cervical lymph nodesBaseline positron emission tomographyBaseline distant metastasesCervical lymph nodesHuman papillomavirus (HPV) statusAmerican Joint CommitteeKaplan-Meier analysisPET/CT RadiomicsHarrell's C-indexAverage C-indexPET/CTRadiomics imaging featuresCurative intentDistant metastasisPET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma
Haider SP, Mahajan A, Zeevi T, Baumeister P, Reichel C, Sharaf K, Forghani R, Kucukkaya AS, Kann BH, Judson BL, Prasad ML, Burtness B, Payabvash S. PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma. European Journal Of Nuclear Medicine And Molecular Imaging 2020, 47: 2978-2991. PMID: 32399621, DOI: 10.1007/s00259-020-04839-2.Peer-Reviewed Original ResearchConceptsOropharyngeal squamous cell carcinomaMetastatic cervical lymph nodesCervical lymph nodesLymph nodesSquamous cell carcinomaPrimary tumorPET/CTHPV associationCell carcinomaRadiomics signatureVolume of interestHuman papilloma virus associationHuman papillomavirus associationMulti-national cohortNon-contrast CTHPV statusFDG-PETExternal cohortVirus associationFinal modelTumorsRadiomic featuresCTSignificant differencesLesion featuresApplications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas
Haider SP, Burtness B, Yarbrough WG, Payabvash S. Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers Of The Head & Neck 2020, 5: 6. PMID: 32391171, PMCID: PMC7197186, DOI: 10.1186/s41199-020-00053-7.Peer-Reviewed Original ResearchNeck squamous cell carcinomaSquamous cell carcinomaCell carcinomaPatient selectionNeck cancerClinical trialsObjective biomarkersRoutine clinical applicationPrognostic biomarkerTreatment guidancePersonalized treatmentRadiomics analysisTreatment planningPrecision medicineClinical applicationCarcinomaPrecision diagnosisApplication of radiomicsPrognosticationBiomarkersRadiomicsHeadCancerDiagnosisTrialsDevising novel imaging biomarkers for Human Papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC): applying radiomics and machine learning algorithms
Haider S, Mahajan A, Zeevi T, Forghani R, Kann B, Judson B, Burtness B, Sharaf K, Reichel C, Baumeister P, Payabvash S. Devising novel imaging biomarkers for Human Papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC): applying radiomics and machine learning algorithms. Laryngo-Rhino-Otologie 2020, 99: s163. DOI: 10.1055/s-0040-1711024.Peer-Reviewed Original Research
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