Jason Johnson, MD, MBA, DABR
Cards
About
Research
Publications
2026
Progressive thoracic myelopathy from an extensive mixed intramedullary and intradural extramedullary thoracic spinal lipoma: a case report
Quiñones Alvarado R, Santhumayor B, Kolb L, Mendel E, Alvarez Reyes A, Johnson JM. Progressive thoracic myelopathy from an extensive mixed intramedullary and intradural extramedullary thoracic spinal lipoma: a case report. Journal of Radiology Case Reports 2026 (in press). ISSN 1943-0922.Peer-Reviewed Case Reports and Technical NotesDelayed 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 ResearchDose 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 ResearchTucatinib–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 Notes
Academic Achievements & Community Involvement
Teaching & Mentoring
Teaching
Clinical Diagnostic Neuroradiology Fellowship Clinical Training
Supervising FacultyOutpatient Clinical Setting10/1/2023 - PresentForGraduate460 Average Instructional Hours Per YearDiagnostic Neuroradiology Fellowship Clinical Training consists of supervised subspecialty instruction for neuroradiology fellows in advanced brain, spine, head and neck, and pediatric imaging interpretation. Training emphasizes complex differential diagnosis, protocol selection, consultative decision-making, accurate reporting, communication of urgent findings, and progressive readiness for independent neuroradiology practice.
Didactic Diagnostic Neuroradiology Fellowship Didactic Conference
LecturerLecture Setting10/1/2023 - PresentForGraduate3 Average Instructional Hours Per YearDiagnostic Neuroradiology Fellowship Didactic Conference is an advanced subspecialty teaching series for neuroradiology fellows covering core and complex topics in brain, spine, head and neck, and pediatric neuroradiology. Lectures emphasize expert-level imaging interpretation, differential diagnosis, protocol selection, clinical consultation, and preparation for independent neuroradiology practice.
Clinical Diagnostic Radiology Resident Clinical Training
Supervising FacultyOutpatient Clinical Setting10/1/2023 - PresentForGraduate150 Average Instructional Hours Per YearDiagnostic Radiology Resident Clinical Training consists of supervised clinical instruction for radiology residents during daily service activities, including image interpretation, protocol selection, report generation, communication of critical findings, and integration of imaging results into patient care. Teaching emphasizes progressive resident autonomy, clinical reasoning, accurate and efficient reporting, and development of the practical skills required for independent diagnostic radiology practice.
Didactic Diagnostic Radiology Resident Didactic Conference
LecturerLecture Setting10/1/2023 - PresentForGraduate2 Average Instructional Hours Per YearDiagnostic Radiology Resident Didactic Conference is a structured educational conference series for radiology residents covering core concepts in diagnostic radiology, imaging interpretation, differential diagnosis, protocol selection, and clinical-radiologic correlation. Lectures are designed to support resident development across levels of training, reinforce board-relevant knowledge, and integrate current evidence-based imaging practices into clinical decision-making.
Clinical Neuro-emergency Radiology (NER) Clinical Training
Supervising FacultyInpatient Clinical Setting10/1/2023 - PresentForGraduate320 Average Instructional Hours Per YearNeuro-emergency Radiology Clinical Training consists of supervised clinical instruction for residents and fellows during emergency and acute-care neuroradiology service activities. Teaching emphasizes rapid and accurate interpretation of acute brain, head and neck, and spine imaging; prioritization of time-sensitive diagnoses; protocol selection; communication of critical findings; and integration of imaging results into urgent clinical decision-making. Training supports progressive autonomy, efficient emergency workflow, and readiness for independent acute-care neuroradiology practice.
Mentoring
Nicholas S. Cho, MD
Medical student2025 - PresentRaymond Quinones Alvarado
Medical student2025 - PresentEthan B. Wang, MD
Undergraduate Student2023 - PresentAryan Kalluvila
Undergraduate Student2023 - Present
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
Fact Sheets
Acoustic Neuroma
Learn More on Yale MedicinePituitary Tumors
Learn More on Yale MedicineHemorrhagic Stroke
Learn More on Yale MedicineStroke
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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