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
2022
Brain injury patterns in hypoxic ischemic encephalopathy of term neonates
Bobba PS, Malhotra A, Sheth KN, Taylor SN, Ment LR, Payabvash S. Brain injury patterns in hypoxic ischemic encephalopathy of term neonates. Journal Of Neuroimaging 2022, 33: 79-84. PMID: 36164277, DOI: 10.1111/jon.13052.Peer-Reviewed Original ResearchConceptsSevere hypoxic-ischemic encephalopathyHypoxic-ischemic encephalopathyHypoxic-ischemic lesionsSeverity of HIEModerate hypoxic-ischemic encephalopathyTerm neonatesIschemic lesionsDiffusion-weighted imagingBasal gangliaDiagnosis of HIESeverity categoriesBrain injury patternsDeep white matterMRI diffusion-weighted imagingT2-weighted imagesPresence of lesionsVoxel-wise analysisRespiration (APGAR) scoreInfarct volumeStandard brain spaceIschemic encephalopathyInjury patternsBrain injuryLentiform nucleusLesion volume
2016
Topographic Assessment of Acute Ischemic Changes for Prognostication of Anterior Circulation Stroke
Payabvash S, Noorbaloochi S, Qureshi AI. Topographic Assessment of Acute Ischemic Changes for Prognostication of Anterior Circulation Stroke. Journal Of Neuroimaging 2016, 27: 227-231. PMID: 27593522, DOI: 10.1111/jon.12383.Peer-Reviewed Original ResearchConceptsAlberta Stroke Program Early CT ScoreDisability/deathAnterior circulation strokeAcute ischemic changesSymptomatic intracranial hemorrhageIntracranial hemorrhageIschemic changesIndependent predictorsFavorable outcomeIntravenous thrombolytic therapyCT/MRI scansRankin Scale scoreEarly ischemic changesAcute ischemic infarctTopographic assessmentIschemic infarctAdmission CTClinical outcomesStroke patientsThrombolytic therapyCT scoreLentiform nucleusTomography scanImproved outcomesPrognostic toolInterhemispheric Asymmetry in Distribution of Infarct Lesions among Acute Ischemic Stroke Patients Presenting to Hospital
Payabvash S, Taleb S, Benson JC, McKinney AM. Interhemispheric Asymmetry in Distribution of Infarct Lesions among Acute Ischemic Stroke Patients Presenting to Hospital. Journal Of Stroke And Cerebrovascular Diseases 2016, 25: 2464-2469. PMID: 27373730, DOI: 10.1016/j.jstrokecerebrovasdis.2016.06.019.Peer-Reviewed Original ResearchConceptsRight-sided strokeLeft-sided strokeAcute ischemic stroke patientsEarly clinical outcomesIschemic stroke patientsIschemic infarctInfarct lesionsInsular ribbonVoxel-based analysisClinical outcomesStroke patientsLentiform nucleusScale scoreHealth Stroke Scale scoreModified Rankin Scale scoreSymptom severityStroke risk factorsStroke Scale scoreHours of onsetRankin Scale scoreAcute ischemic infarctRate of treatmentAdmission symptomsSymptomatic infarctsRisk factors