Jason Johnson, MD, MBA, DABR
Cards
About
Research
Publications
2026
Delayed 18F-FDG PET for the Evaluation of Suspected Recurrent Disease in Brain Metastases Treated with Radiation
Ciavarra B, Krayyem A, Ansari S, Shindell E, Gule-Monroe MK, Patel CB, Johnson JM. Delayed 18F-FDG PET for the evaluation of suspected recurrent disease in brain metastases treated with radiation. Clinical Radiology. 2025. [Accepted for publication]Peer-Reviewed Original Research In PressDose Escalation With Intensity-Modulated Proton Therapy for Patients with High-Risk Meningiomas - Results From a Phase 1 Trial.
Ehret F, Horick NK, Yeap BY, Curry WT, Nahed B, Daartz J, Johnson JM, Dagher SA, Raza SM, DeMonte F, Yeboa DN, Swanson TA, McAleer MF, Leland P, McGovern SL, Shih HA. Dose Escalation With Intensity-Modulated Proton Therapy for Patients with High-Risk Meningiomas - Results From a Phase 1 Trial. Clin Cancer Res 2026 PMID: 42149137, DOI: 10.1158/1078-0432.CCR-25-3856.Peer-Reviewed Original ResearchTiming and Energy Optimization of Dual-Energy CT for Brain Metastasis Conspicuity: A Prospective 24-Patient Study.
Johnson JM, Rashiwala A, Krayyem A, Wang E, Farzaneh H, Pokhylevych H, Amer A, Schellingerhout D, Layman R, Patel CB. Timing and Energy Optimization of Dual-Energy CT for Brain Metastasis Conspicuity: A Prospective 24-Patient Study. Journal of Computer Assisted Tomography. 2026 (accepted, in press).Peer-Reviewed Original Research In PressTucatinib–trastuzumab–capecitabine for treatment of leptomeningeal metastasis in women with HER2+ breast cancer: TBCRC049 phase 2 study results
Murthy R, O’Brien B, Berry D, Singareeka-Raghavendra A, Monroe M, Johnson J, White J, Schwartz-Gomez J, Topletz-Erickson A, Lobbous M, Riley K, Melisko M, Morikawa A, Ferguson S, de Groot J, Krop I, Valero V, Rimawi M, Wolff A, Tripathy D, Lin N, Stringer-Reasor E. Tucatinib–trastuzumab–capecitabine for treatment of leptomeningeal metastasis in women with HER2+ breast cancer: TBCRC049 phase 2 study results. Nature Cancer 2026, 7: 424-434. PMID: 41851506, DOI: 10.1038/s43018-026-01120-7.Peer-Reviewed Original ResearchConceptsLeptomeningeal metastasesObjective responseOverall survivalCentral nervous system progression-free survivalHuman epidermal growth factor receptor 2-positiveBreast cancerEpidermal growth factor receptor 2-positiveHER2+) breast cancerSystemic progression-free survivalCentral nervous system progressionHER2+ breast cancerTreatment of leptomeningeal metastasesMedian overall survivalNeurological symptom improvementProgression-free survivalMedian Follow-UpPhase 2 studyCerebrospinal fluid cytologySystemic regimenSystemic therapyPrimary endpointSecondary endpointsSingle-armClinical benefitFluid cytologyAssociations of local breast density with patient characteristics and risk of breast cancer among women undergoing diagnostic breast biopsy
Burke A, Fan S, Pfeiffer R, Bodelon C, Chan A, Hill M, Khan N, Tikhonov A, Harris A, Highnam R, Vacek P, Weaver D, Johnson J, Herschorn S, Sprague B, Sherman M, Mullooly M, Gierach G. Associations of local breast density with patient characteristics and risk of breast cancer among women undergoing diagnostic breast biopsy. Breast Cancer Research 2026, 28: 57. PMID: 41639723, PMCID: PMC12964696, DOI: 10.1186/s13058-025-02212-5.Peer-Reviewed Original ResearchRisk of breast cancerRisk of incident breast cancerPrevalent breast cancerIncident breast cancerParticipant characteristicsBreast densityAbnormal mammogramsBreast cancerAssociations of participant characteristicsFibroglandular volumeHazard ratioBreast cancer riskDiagnostic breast biopsyLocal breast densityBreast biopsyLiterature reporting associationsAbsolute fibroglandular volumeCohort of womenRegression modelsMultivariate linear regression modelCox proportional hazards regression modelsRisk of incidentProportional hazards regression modelsBody mass indexHazards regression models
2025
Radiologist-Validated Automatic Lumbar T1-Weighted Spinal MRI Segmentation Tool via an Attention U-Net Algorithm
Kalluvila A, Wang E, Hurley M, Freeman C, Johnson J. Radiologist-Validated Automatic Lumbar T1-Weighted Spinal MRI Segmentation Tool via an Attention U-Net Algorithm. Diagnostics 2025, 15: 3046. PMID: 41374427, PMCID: PMC12691307, DOI: 10.3390/diagnostics15233046.Peer-Reviewed Original ResearchAttention U-NetU-NetLoss functionMSE lossMRI segmentationSegmentation loss functionSegmentation toolU-Net algorithmDeep learningSegmentation applicationsSegmentation performanceSegmentation accuracyProcess of segmentationArtificial intelligenceSSIMDice coefficientHigher accuracyAlgorithmPrevalence of disc herniationMethods:MSESuperior resultsResults:ArchitectureFunction of choiceLateral mandibular ridge: A unique feature of the auriculocondylar syndrome
Yadav M, Patel D, Wong K, de Oliveira Santo I, Morrison K, Green G, Cunningham M, Johnson J. Lateral mandibular ridge: A unique feature of the auriculocondylar syndrome. European Journal Of Radiology 2025, 194: 112476. PMID: 41124729, DOI: 10.1016/j.ejrad.2025.112476.Peer-Reviewed Original ResearchConceptsAuriculocondylar syndromeTemporomandibular jointCT markersHigh-resolution multidetector CTGenetic confirmationPediatric craniofacial surgeonPierre Robin sequencePositive predictive valueTreacher Collins syndromeFisher's exact testConfidence intervalsCraniofacial microsomiaArch syndromeCT findingsMultidetector CTRobin sequenceCraniofacial surgeonsCraniofacial malformationsExact testCraniofacial CTPathogenic variantsConsecutive individualsPredictive valueMandibular anomaliesSyndromeUltra-High Resolution 9.4T Brain MRI Segmentation via a Newly Engineered Multi-Scale Residual Nested U-Net with Gated Attention
Kalluvila A, Patel J, Johnson J. Ultra-High Resolution 9.4T Brain MRI Segmentation via a Newly Engineered Multi-Scale Residual Nested U-Net with Gated Attention. Bioengineering 2025, 12: 1014. PMID: 41155013, PMCID: PMC12561009, DOI: 10.3390/bioengineering12101014.Peer-Reviewed Original ResearchGround-truth masksSegmentation modelState-of-the-art performanceSpatial-channel attention mechanismMulti-scale residual blockT dataDice scoreMRI segmentationChannel attention mechanismDeep learning-based modelNested U-NetGlobal feature extractionState-of-the-artLearning-based modelsT imagesResidual blockAttention mechanismFeature extractionT datasetGray-white matter interfaceU-NetWilcoxon signed-rank testGated attentionMRI scannerGroundParsonage-Turner Syndrome in the Pediatric Population: A Case Report
Safinia, C., Jakovljevic, M., Farzaneh, H., Lesenskyj DeArias, A., Bamford, N. S., & Johnson, J. M. (2025). Parsonage-Turner Syndrome in the Pediatric Population: A Case Report. Journal of Radiology Case Reports, in press.Peer-Reviewed Case Reports and Technical NotesBrain CT for Diagnosis of Intracranial Disease in Ambulatory Patients with Cancer: Assessment of the Diagnostic Value of Scanning without Contrast prior to with Contrast.
Wang E, Darbandi A, Tu L, Ballester L, de Jesus Morales C, Chen M, Gule-Monroe M, Johnson J. Brain CT for Diagnosis of Intracranial Disease in Ambulatory Patients with Cancer: Assessment of the Diagnostic Value of Scanning without Contrast prior to with Contrast. American Journal Of Neuroradiology 2025, 47: 694-698. PMID: 40925682, PMCID: PMC12989202, DOI: 10.3174/ajnr.a8995.Peer-Reviewed Original ResearchNon-contrast CTIncremental cost-effectiveness ratioContrast-enhanced studiesBrain CTCancer patientsIntracranial diseaseDiagnostic valueAmbulatory cancer patientsCT reportsCancer stageContrast-enhanced brain CTMD Anderson Cancer CenterContrast-enhanced CTAsymptomatic cancer patientsPatient radiation exposureBoard-certified neuroradiologistsBrain CT examinationsCost-effectiveness ratioCT findingsCT examinationsDiagnosis of intracranial diseaseNon-contrast CT findingsCancer CenterPatientsRadiation exposure
Academic Achievements & Community Involvement
Clinical Care
Overview
Jason Johnson, MD, is a neuroradiologist who specializes in imaging techniques to diagnose and evaluate conditions affecting the brain and nervous system, including brain tumors, stroke, and other neurological disorders.
He utilizes advanced imaging methods to provide detailed insights into these conditions, aiding in accurate diagnosis and effective treatment planning.
An associate professor of radiology and biomedical imaging at Yale School of Medicine, Dr. Johnson completed his medical training at the University of Arizona, followed by a residency in radiology at the University of Vermont and fellowship training in neuroradiology at both the University of California, San Francisco, and Massachusetts General Hospital/Harvard Medical School.
Dr. Johnson has been recognized with the Magna Cum Laude Merit Award by the International Society of Magnetic Resonance in Medicine.
Clinical Specialties
Neuroradiology
Fact Sheets
Acoustic Neuroma
Learn More on Yale MedicinePituitary Tumors
Learn More on Yale MedicineHemorrhagic Stroke
Learn More on Yale MedicineStroke
Learn More on Yale Medicine
Board Certifications
Neuroradiology
- Certification Organization
- AB of Radiology
- Original Certification Date
- 2013
Diagnostic Radiology
- Certification Organization
- AB of Radiology
- Latest Certification Date
- 2022
- Original Certification Date
- 2011