2024
Diffusion‐Weighted Imaging Fluid‐Attenuated Inversion Recovery Mismatch on Portable, Low‐Field Magnetic Resonance Imaging Among Acute Stroke Patients
Sorby‐Adams A, Guo J, de Havenon A, Payabvash S, Sze G, Pinter N, Jaikumar V, Siddiqui A, Baldassano S, Garcia‐Guarniz A, Zabinska J, Lalwani D, Peasley E, Goldstein J, Nelson O, Schaefer P, Wira C, Pitts J, Lee V, Muir K, Nimjee S, Kirsch J, Iglesias J, Rosen M, Sheth K, Kimberly W. Diffusion‐Weighted Imaging Fluid‐Attenuated Inversion Recovery Mismatch on Portable, Low‐Field Magnetic Resonance Imaging Among Acute Stroke Patients. Annals Of Neurology 2024, 96: 321-331. PMID: 38738750, PMCID: PMC11293843, DOI: 10.1002/ana.26954.Peer-Reviewed Original ResearchStroke patientsAcute ischemic strokeCut-pointsIschemic strokeStroke patients <Diagnosis of acute ischemic strokeSignal intensity ratioFluid-attenuated inversion recoveryAcute stroke patientsOptimal cut-pointMagnetic resonance imagingDiffusion-weighted imagingDWI-FLAIR mismatchStroke onsetTrained assessorsNational InstituteStrokeThrombolytic interventionNegative predictive valueFLAIR hyperintensitiesPatientsInterobserver agreementHyperacute strokeDiffusion-weightedPredictive valueImpact 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
2016
The Effects of DWI‐Infarct Lesion Volume on DWI‐FLAIR Mismatch: Is There a Need for Size Stratification?
Payabvash S, Taleb S, Benson JC, Rykken JB, Oswood MC, McKinney AM, Hoffman B. The Effects of DWI‐Infarct Lesion Volume on DWI‐FLAIR Mismatch: Is There a Need for Size Stratification? Journal Of Neuroimaging 2016, 27: 392-396. PMID: 27878926, DOI: 10.1111/jon.12407.Peer-Reviewed Original ResearchConceptsDWI-FLAIR mismatchPositive predictive valueDWI lesion volumeLesion volumeNegative predictive valueStroke onsetAcute infarctsStroke patientsInfarct lesionsPredictive valueFluid-attenuated inversion recovery hyperintensityAcute ischemic stroke patientsInfarct lesion volumeIschemic stroke patientsHours of onsetInversion recovery hyperintensityContralateral normal sideIdentification of strokePotential imaging biomarkerMultivariate regression analysisIdentification of infarctionSymptom onsetTherapy timeNormal sideImaging biomarkers
2015
Detection of Intraparenchymal Hemorrhage After Endovascular Therapy in Patients with Acute Ischemic Stroke Using Immediate Postprocedural Flat‐Panel Computed Tomography Scan
Payabvash S, Khan AA, Qureshi MH, Saeed O, Suri MF, Qureshi AI. Detection of Intraparenchymal Hemorrhage After Endovascular Therapy in Patients with Acute Ischemic Stroke Using Immediate Postprocedural Flat‐Panel Computed Tomography Scan. Journal Of Neuroimaging 2015, 26: 213-218. PMID: 26282065, DOI: 10.1111/jon.12277.Peer-Reviewed Original ResearchConceptsMultidetector CT studiesNegative predictive valueIschemic stroke patientsIntraparenchymal hemorrhageCT scanEndovascular treatmentHyperdense lesionParenchymal lesionsStroke patientsPredictive valueCT studiesMultidetector CTAcute ischemic stroke patientsAcute ischemic strokeAcute stroke patientsMultidetector CT scanPositive predictive valueEndovascular therapyIschemic strokePost procedureTomography scanSeparate cohortSuch lesionsPatientsDiagnostic value
2012
Location-weighted CTP analysis predicts early motor improvement in stroke
Payabvash S, Souza LC, Kamalian S, Wang Y, Passanese J, Kamalian S, Fung SH, Halpern EF, Schaefer PW, Gonzalez RG, Furie KL, Lev MH. Location-weighted CTP analysis predicts early motor improvement in stroke. Neurology 2012, 78: 1853-1859. PMID: 22573641, PMCID: PMC3369521, DOI: 10.1212/wnl.0b013e318258f799.Peer-Reviewed Original ResearchConceptsAcute stroke patientsAdmission NIHSSMotor improvementStroke patientsCT perfusionPredictive valueOnly independent clinical predictorMultivariate binary logistic regressionFrontal lobe white matterMultivariate modelIndependent clinical predictorsMotor functional improvementMotor function improvementNegative predictive valuePositive predictive valueSuperior temporal gyrusBinary logistic regressionExtremity paresisAcute strokeSymptom onsetClinical predictorsConsecutive patientsIndependent predictorsClinical outcomesImaging predictors