2024
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography
Tran A, Desser D, Zeevi T, Karam G, Zietz J, Dell’Orco A, Chen M, Malhotra A, Qureshi A, Murthy S, Majidi S, Falcone G, Sheth K, Nawabi J, Payabvash S. Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences 2024, 15: 111. PMID: 40046237, PMCID: PMC11882137, DOI: 10.3390/app15010111.Peer-Reviewed Original ResearchIntracerebral hemorrhageHematoma expansionFollow-up CT scansFollow-up head computed tomographyPredictors of poor outcomeDeep learning classification modelFollow-up scansHead computed tomographyFalse-negative resultsHematoma segmentationAutomated segmentationMulticentre cohortCT scanValidation cohortPoor outcomeComputed tomographyFollow-upClassification modelOptimizational methodHematomaAnnotationComparing the Accuracy and Reliability of ABC/2 and Planimetry for Vestibular Schwannoma Volume Assessment
Singh K, Abdou H, Panth N, Chiang V, Buono F, Schwartz N, Mahajan A. Comparing the Accuracy and Reliability of ABC/2 and Planimetry for Vestibular Schwannoma Volume Assessment. Otology & Neurotology 2024, 46: 196-200. PMID: 39792983, DOI: 10.1097/mao.0000000000004392.Peer-Reviewed Original ResearchConceptsTumor volume assessmentABC/2 methodVestibular schwannomaVolume assessmentPlanimetry methodTumor volumeTumor volume changesFollow-up scansOverestimate tumor volumePatients' quality of lifeTumor sizeRetrospective reviewIntracranial tumorsImprove clinical decision makingSubgroup analysisVolumetric assessmentTumorClinical decision makingQuality of lifePatients' qualityPatientsClinical settingPlanimetryImaging techniquesPositive correlation
2023
The radiologically isolated syndrome: revised diagnostic criteria
Lebrun-Frénay C, Okuda D, Siva A, Landes-Chateau C, Azevedo C, Mondot L, Carra-Dallière C, Zephir H, Louapre C, Durand-Dubief F, Le Page E, Bensa C, Ruet A, Ciron J, Laplaud D, Casez O, Mathey G, de Seze J, Zeydan B, Makhani N, Tutuncu M, Levraut M, Cohen M, Thouvenot E, Pelletier D, Kantarci O. The radiologically isolated syndrome: revised diagnostic criteria. Brain 2023, 146: 3431-3443. PMID: 36864688, PMCID: PMC11004931, DOI: 10.1093/brain/awad073.Peer-Reviewed Original ResearchConceptsRadiologically isolated syndromeClinical eventsGroup 1Risk factorsDIS criteriaPresence of spinal cord lesionsClinical follow-up timeCSF-restricted oligoclonal bandsMultivariate Cox regression modelDiagnostic criteriaFocal T2 hyperintensitiesGadolinium-enhancing lesionsMultiple sclerosisNegative predictive valueFollow-up scansFollow-up timeArea under the curveClass I evidenceSpinal cord lesionsCox regression modelsRisk of developmentWhite matter lesionsProspective databaseSymptomatic MST2 lesions
2022
Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake
Fu J, Lois C, Sanchez J, Becker J, Rubinstein Z, Thibault E, Salvatore A, Sari H, Farrell M, Guehl N, Normandin M, Fakhri G, Johnson K, Price J. Kinetic evaluation and assessment of longitudinal changes in reference region and extracerebral [18F]MK-6240 PET uptake. Cerebrovascular And Brain Metabolism Reviews 2022, 43: 581-594. PMID: 36420769, PMCID: PMC10063833, DOI: 10.1177/0271678x221142139.Peer-Reviewed Original ResearchConceptsPartial volume correctionLongitudinal changesReference regionStandardized uptake valueFollow-up scansExtracerebral signalsAssessment of longitudinal changesCross-sectional effect sizesUptake valuePET uptakeDistribution volumeRegional uptakeArterial samplesExtracerebral contaminationOne-yearCognitively-normalEffect sizePonsGroup differentiationVolume correctionSubject levelSubjectsThe role of renal contour change in the diagnosis of cortical scarring after urinary tract infection.
Muniz G, Charron M, Lim R, Shammas A, Liu H, Shaikh N. The role of renal contour change in the diagnosis of cortical scarring after urinary tract infection. American Journal Of Nuclear Medicine And Molecular Imaging 2022, 12: 41-43. PMID: 35295886, PMCID: PMC8918400.Peer-Reviewed Original ResearchUrinary tract infectionRenal scarringTract infectionsRenal contourDiagnosis of renal scarringPermanent renal scarringProspective clinical trialFollow-up scansNuclear medicine physiciansTechnetium-99mPresence of abnormalitiesRIVUR studyContour abnormalitiesCortical scarringClinical trialsTechnetium-99Medicine physiciansGold standardEligibility criteriaScarsContour changesAbnormalitiesDiagnosisInfectionChildren
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