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
2023
Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers
Haider S, Qureshi A, Jain A, Tharmaseelan H, Berson E, Zeevi T, Werring D, Gross M, Mak A, Malhotra A, Sansing L, Falcone G, Sheth K, Payabvash S. Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers. Frontiers In Neuroscience 2023, 17: 1225342. PMID: 37655013, PMCID: PMC10467422, DOI: 10.3389/fnins.2023.1225342.Peer-Reviewed Original ResearchIndependent validation cohortIntracerebral hemorrhageRadiomic featuresValidation cohortClinical variablesHematoma expansionSpontaneous supratentorial intracerebral hemorrhageNon-contrast head CTSupratentorial intracerebral hemorrhageTomography (CT) of patientsNon-contrast headFuture clinical trialsNon-contrast CTIntracerebral Hemorrhage ExpansionHigh predictive valueBAT scoreHypertensive patientsClinical predictorsPrognostic relevanceFunctional outcomeClinical trialsHead CTHemorrhage expansionClinical trial datasetDiscovery cohort
2021
Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Zeevi T, Majidi S, Filippi CG, Iseke S, Gross M, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population. European Journal Of Neurology 2021, 28: 2989-3000. PMID: 34189814, PMCID: PMC8818333, DOI: 10.1111/ene.15000.Peer-Reviewed Original ResearchConceptsAdmission Glasgow Coma ScaleGlasgow Coma ScaleRadiomics signatureMRS scoreHematoma volumeICH volumeClinical severityNoncontrast head CT scansAdmission National InstitutesHealth Stroke ScaleRankin Scale scoreStrong associationBaseline clinical severityMedium-term outcomesIndependent validation cohortHead CT scanATACH-2 trialStroke ScaleAdmission NIHSSIndependent predictorsClinical presentationComa ScaleBaseline CTICH patientsValidation cohort