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Research
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2025
Evaluating the effect of voxel size on the accuracy of 3D volumetric analysis measurements of brain tumors
Ghankot R, Singh M, Desroches S, Jester N, Mahajan A, Lorr S, Buono F, Wiznia D, Johnson M, Tommasini S. Evaluating the effect of voxel size on the accuracy of 3D volumetric analysis measurements of brain tumors. Frontiers In Radiology 2025, 5: 1618261. PMID: 40842873, PMCID: PMC12364922, DOI: 10.3389/fradi.2025.1618261.Peer-Reviewed Original ResearchEffect of voxel sizeVestibular schwannomaGrowth of vestibular schwannomaMRI scansProgressive hearing lossVoxel sizeYale-New Haven HospitalAI-based segmentationTumor surveillanceHigh-resolution MRI scansNew Haven HospitalTumor monitoringVS tumorsVestibular dysfunctionDice similarity coefficientTreatment planningTumorBrain tumorsGenetic disordersVoxel resolutionTumor growth dynamicsClinical decisionsVolume measurementsPatientsMRI machineClinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study
Desroches S, Huang A, Ghankot R, Tommasini S, Wiznia D, Buono F. Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study. JMIR Human Factors 2025, 12: e71728. PMID: 40737523, PMCID: PMC12309860, DOI: 10.2196/71728.Peer-Reviewed Original ResearchThe implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study
Singh M, Jester N, Lorr S, Briano A, Schwartz N, Mahajan A, Chiang V, Tommasini S, Wiznia D, Buono F. The implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study. Clinical Imaging 2025, 123: 110495. PMID: 40388858, DOI: 10.1016/j.clinimag.2025.110495.Peer-Reviewed Original ResearchConceptsGamma knife radiosurgeryVestibular schwannomaPost-GKSTumor growthVS volumeHalting tumor growthRetrospective cohort studyAssess treatment efficacyManual segmentationHearing lossBenign tumorsPaired t-testT1-weighted MRI scansAssess statistical significanceCohort studyDice similarity coefficientNeurological functionTreatment efficacyClinical monitoringMRI scansStatistical significancePercentage changeSchwannomaSpatial overlapTumorEffects of COVID-19 on Enrollment and Discharge for Veterans (With Substance and Alcohol Use Disorders) Referred for Vocational Rehabilitation Within the VA Health Care System
Sprong M, Hollender H, Lee Y, Forziat-Pytel K, Dooley T, Buono F. Effects of COVID-19 on Enrollment and Discharge for Veterans (With Substance and Alcohol Use Disorders) Referred for Vocational Rehabilitation Within the VA Health Care System. Rehabilitation Counseling Bulletin 2025 DOI: 10.1177/00343552251320950.Peer-Reviewed Original ResearchVA health care systemVeterans Integrated Service NetworkVeterans Health AdministrationHealth care systemVocational rehabilitationCare systemQuality assurance/quality improvementProgram evaluation designIntegrated services networksVR programHealth AdministrationEmployment rateProgram enrollmentSubstance-related disordersAlcohol use disorderEvaluation designEmployment outcomesVeteransImpact of COVID-19COVID-19Use disorderEffects of COVID-19RehabilitationEnrollment ratesAUDThe development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas
Jester N, Singh M, Lorr S, Tommasini S, Wiznia D, Buono F. The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas. Scientific Reports 2025, 15: 5918. PMID: 39966622, PMCID: PMC11836447, DOI: 10.1038/s41598-025-88589-x.Peer-Reviewed Original ResearchConceptsGround-truth datasetDice scoreVestibular schwannomaImage processing accuracyVolumetric analysisML-based algorithmsMeasuring tumor sizeMean dice scoreAuto-segmentation toolAccurate AIAI modelsTumor sizeTumor modelVS tumorsTumor growthTesting stageAI-LTumorImage processing softwareClinical practicePatient recruitmentProcessing softwareSchwannomaDatasetManual segmentation
2024
Comparing 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 correlationUnderstanding Therapeutic Experience: A Qualitative Evaluation of Virtual and In-Person Treatment
Cerrito B, Connors A, Fialk A, Xiao J, Buono F. Understanding Therapeutic Experience: A Qualitative Evaluation of Virtual and In-Person Treatment. Cureus 2024, 16: e75392. PMID: 39781144, PMCID: PMC11709419, DOI: 10.7759/cureus.75392.Peer-Reviewed Original ResearchTherapy Mode Preference Scale: Preliminary Validation Methodological Design
Cerrito B, Xiao J, Fialk A, Buono F. Therapy Mode Preference Scale: Preliminary Validation Methodological Design. JMIR Formative Research 2024, 8: e65477. PMID: 39612373, PMCID: PMC11623782, DOI: 10.2196/65477.Peer-Reviewed Original ResearchConceptsZoom Exhaustion and Fatigue scaleIn-person careHierarchical linear regressionHealth careIn-personExploratory factor analysisInternal consistencyMental health treatment programsSatisfactory levels of internal consistencyFactor analysisLevels of internal consistencyIn-person therapyKaiser-Meyer-Olkin measure of sampling adequacyClient Satisfaction QuestionnaireKaiser-Meyer-Olkin measureBartlett's test of sphericityHealth care demandBarriers to treatmentMeasure of sampling adequacyTest of sphericityIncremental validityFactor structureFatigue ScaleLinear regressionCare demandsThe Road to Reintegration: Evaluating the Effectiveness of VA Healthcare in Vocational Rehabilitation and Employment Retention for Veterans with Mental Health and Substance Use Disorders
Sprong M, Hollender H, Blankenberger B, Rumrill S, Lee Y, Bland T, Bailey J, Weber K, Gilbert J, Kriz K, Buono F. The Road to Reintegration: Evaluating the Effectiveness of VA Healthcare in Vocational Rehabilitation and Employment Retention for Veterans with Mental Health and Substance Use Disorders. Substance Abuse And Rehabilitation 2024, 15: 107-123. PMID: 39081876, PMCID: PMC11287469, DOI: 10.2147/sar.s462882.Peer-Reviewed Original ResearchMental health treatmentSubstance use disorder treatmentVeterans Integrated Service NetworkVocational rehabilitation servicesVocational rehabilitation programVocational rehabilitationSubstance use disordersMental healthHealth treatmentProgram enrollmentRehabilitation servicesRehabilitation programVA healthcareVA healthcare systemSubstance use disorder treatment servicesProgram evaluation dataFace significant barriersProgram evaluation designMultivariate logistic regression analysisHealth outcomesLogistic regression analysisIntegrated services networksVeteran patientsHealthcare systemPost-dischargeVirtual Reality in Medical Education
Buono F, Marks A, Lee D. Virtual Reality in Medical Education. Cyberpsychology Behavior And Social Networking 2024, 27: 361-362. PMID: 38841871, DOI: 10.1089/cyber.2024.27599.geditorial.Peer-Reviewed Original Research
News & Links
News
- August 07, 2024
Grant to Help Team Develop Dynamic 3D Tumor Analysis
- June 21, 2024Source: Cyberpsychology, Behavior, and Social Networking
Buono, Marks Guest Edit Special Issue of 'Cyberpsychology, Behavior and Social Networking'
- May 21, 2024
Garakani, Buono Awarded Grant from AAPL Institute for Education and Research
- April 26, 2024
Buono, Cortes-Briones, Lee Honored with 2024 Blavatnik Awards
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Yale School of Medicine
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