Christopher Gange, MD
Assistant Professor of Radiology and Biomedical ImagingCards
Additional Titles
Fellowship Director, Thoracic Radiology
Contact Info
Cardiothoracic Imaging
20 York St, Dept of Radiology and Biomedical Imaging
New Haven, CT 06510
United States
Publications Overview
- 19 Publications
- 354 Citations
- 19 Yale Co-Authors
Additional Titles
Fellowship Director, Thoracic Radiology
Contact Info
Cardiothoracic Imaging
20 York St, Dept of Radiology and Biomedical Imaging
New Haven, CT 06510
United States
Publications Overview
- 19 Publications
- 354 Citations
- 19 Yale Co-Authors
Additional Titles
Fellowship Director, Thoracic Radiology
Contact Info
Cardiothoracic Imaging
20 York St, Dept of Radiology and Biomedical Imaging
New Haven, CT 06510
United States
Publications Overview
- 19 Publications
- 354 Citations
- 19 Yale Co-Authors
About
Copy Link
Titles
Assistant Professor of Radiology and Biomedical Imaging
Fellowship Director, Thoracic Radiology
Biography
Having made stops in Boston, Philadelphia, and Rochester, I am starting my career as a diagnostic radiologist at Yale New Haven Hospital. Radiology encompasses many of my favorite things, as I have always been interested in new technology, science, and healthcare. Every day, I use medical knowledge and technology to solve mysteries by making diagnoses
Appointments
Radiology & Biomedical Imaging
Assistant ProfessorPrimary
Other Departments & Organizations
- Cardiothoracic Imaging
- Clinical Radiology
- Program for Innovation in Imaging Informatics
- Radiology & Biomedical Imaging
- Yale Medicine
- Yale New Haven Health System
Education & Training
- Thoracic Radiology Fellow
- Brigham and Women's Hospital (2018)
- Radiology Resident
- University of Rochester - Strong Memorial Hospital (2017)
- Intern
- Drexel Univ - Hahnemann Hospital (2013)
- MD
- Drexel University, Medicine (2012)
- MMS
- Drexel University, Medical Science (2008)
- BS
- Boston University, Biomedical Engineering
Research
Copy Link
Overview
Medical Research Interests
Public Health Interests
ORCID
0000-0002-1224-4665
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Babina Gosangi, MD
Ami Rubinowitz, MD
Anna Shlionsky Bader, MD, MS
Inderjit Singh, MBChB, BMedSci, FRCP, FCCP, MD
James Duncan, PhD
Lawrence Staib, PhD
Artificial Intelligence
Publications
2026
Beyond PVR: dynamic physiologic assessment enhances prognostic evaluation in pulmonary hypertension associated with chronic obstructive pulmonary disease
Tarras E, Yan X, Gange C, Kurz S, Joseph P, Singh I. Beyond PVR: dynamic physiologic assessment enhances prognostic evaluation in pulmonary hypertension associated with chronic obstructive pulmonary disease. BMJ Open Respiratory Research 2026, 13: e004192. PMID: 42303310, PMCID: PMC13289187, DOI: 10.1136/bmjresp-2026-004192.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPulmonary vascular resistanceAssociated with adverse outcomesRight heart catheterisationPH-COPDChronic obstructive pulmonary diseaseObstructive pulmonary diseaseHeart catheterisationResting haemodynamicsML/mm HgAdverse outcomesOxygen uptake efficiency slopeRight ventricular systolic pressurePulmonary diseaseExercise test variablesCardiopulmonary exercise testing variablesHighest-risk subgroupsAssociated with poor outcomesMedian Follow-UpPulmonary function test parametersVentricular systolic pressureHeart failure hospitalisationPulmonary vascular capacitanceLower oxygen uptake efficiency slopeSurvival tree analysisCox proportional hazards modelsC65-17 Noninvasive Predictors of Adverse Outcomes in Pulmonary Hypertension Associated With COPD
Tarras E, Yan X, Kurz S, Gange C, Singh I. C65-17 Noninvasive Predictors of Adverse Outcomes in Pulmonary Hypertension Associated With COPD. American Journal Of Respiratory And Critical Care Medicine 2026, 212: aamag162.5846. DOI: 10.1093/ajrccm/aamag162.5846.Peer-Reviewed Original ResearchConceptsPulmonary vascular resistancePulmonary hypertensionPH-COPDAssociated with COPDNoninvasive predictorAdverse outcomesPre-capillary pulmonary hypertensionNoninvasive indexPredictor of adverse outcomesAssociated with adverse outcomesImpaired qualityObstructive sleep apneaRight heart catheterizationPulmonary function test parametersHigh-risk patientsAdverse clinical outcomesCox proportional hazards modelsCardiopulmonary exercise testingFunction test parametersImpaired quality of lifeSevere PH-COPDProportional hazards modelCombined post-Sleep apneaHeart catheterization
2024
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week
Yang J, Henao J, Dvornek N, He J, Bower D, Depotter A, Bajercius H, de Mortanges A, You C, Gange C, Ledda R, Silva M, Dela Cruz C, Hautz W, Bonel H, Reyes M, Staib L, Poellinger A, Duncan J. Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Computerized Medical Imaging And Graphics 2024, 118: 102442. PMID: 39515190, DOI: 10.1016/j.compmedimag.2024.102442.Peer-Reviewed Original ResearchCitationsConceptsUnsupervised domain adaptationSpatial prior informationDomain adaptationLabeled dataData-driven approachUnsupervised domain adaptation modelMedical image analysis tasksImage analysis tasksTransformer-based modelsMedical image analysisPrior informationOutcome prediction tasksAdversarial trainingDistribution alignmentDomain shiftAttention headsClass tokenPoor generalizationAnalysis tasksTarget domainPrediction taskData distributionKnowledge-guidedLocal weightsMedical imagesNext-generation digital chest tomosynthesis
Gange C, Ku J, Gosangi B, Liu J, Maolinbay M. Next-generation digital chest tomosynthesis. Journal Of Clinical Imaging Science 2024, 14: 22. PMID: 38975057, PMCID: PMC11225395, DOI: 10.25259/jcis_4_2024.Peer-Reviewed Original ResearchCitationsAltmetricConceptsRadiation doseLow dose chest CTLung phantomLung nodulesEffective radiation dosePlane resolutionLow radiation doseLow dose CTPhantomSimulated pulmonary nodulesChest CTChest radiologistsHealthy volunteersPulmonary nodulesDose CTAnatomical locationNodule detectionImaging characteristicsTomosynthesisNodulesLungDoseDetect lung nodulesDevicesPotential utility
2023
Brief Report: Increasing Prevalence of Ground-Glass Nodules and Semisolid Lung Lesions on Outpatient Chest Computed Tomography Scans
Woodard G, Udelsman B, Prince S, Blasberg J, Dhanasopon A, Gange C, Traube L, Mase V, Boffa D, Detterbeck F, Bader A. Brief Report: Increasing Prevalence of Ground-Glass Nodules and Semisolid Lung Lesions on Outpatient Chest Computed Tomography Scans. JTO Clinical And Research Reports 2023, 4: 100583. PMID: 38074773, PMCID: PMC10709040, DOI: 10.1016/j.jtocrr.2023.100583.Peer-Reviewed Original ResearchCitationsAltmetricConceptsGround-glass nodulesChest CT scanCT scanLung lesionsHealth systemLarge academic health systemAcademic health systemCross-sectional imagingRadiographic findingsPhysician consultationChest CTDatabase reviewTomography scanRadiographic lesionsAge groupsLesionsStudy periodLung nodulesOutpatient CTRadiology reportsAdult chestCTScansChestNodulesCardiothoracic complications of immune checkpoint inhibitors
Gosangi B, Wang Y, Rubinowitz A, Kwan J, Traube L, Gange C, Bader A. Cardiothoracic complications of immune checkpoint inhibitors. Clinical Imaging 2023, 102: 98-108. PMID: 37659356, DOI: 10.1016/j.clinimag.2023.08.001.Peer-Reviewed Educational MaterialsCitationsAltmetricMeSH Keywords and ConceptsConceptsImmune checkpoint inhibitorsICI therapyCheckpoint inhibitorsOverall survivalTumor responseAdverse effectsDevelopment of irAEsNovel adverse effectsImproved overall survivalOverall patient outcomesICI administrationHematologic malignanciesPatient outcomesSolid tumorsIrAEsCancer treatmentGreater mortalityComplicationsTherapySurvivalInhibitorsMyocarditisPneumonitisPatientsMalignancyA Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
Henao J, Depotter A, Bower D, Bajercius H, Todorova P, Saint-James H, de Mortanges A, Barroso M, He J, Yang J, You C, Staib L, Gange C, Ledda R, Caminiti C, Silva M, Cortopassi I, Dela Cruz C, Hautz W, Bonel H, Sverzellati N, Duncan J, Reyes M, Poellinger A. A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans. Investigative Radiology 2023, 58: 882-893. PMID: 37493348, PMCID: PMC10662611, DOI: 10.1097/rli.0000000000001005.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsCOVID-19 positive patientsClinical Progression ScaleLung lesionsLesion modelDisease severityGround-glass opacitiesCOVID-19 patientsRadiologist assessmentExpert thoracic radiologistsMulticenter cohortPleural effusionDisease extentRetrospective studyDevelopment cohortPatient assessmentTomography scanCT scanSeverity ScalePatient's diseaseTissue lesionsThoracic radiologistsLesionsPatientsRadiomics modelRadiomic features
2022
Diseases of the pulmonary arteries: imaging appearances and pearls
Cortopassi IO, Gosangi B, Asch D, Bader AS, Gange CP, Rubinowitz AN. Diseases of the pulmonary arteries: imaging appearances and pearls. Clinical Imaging 2022, 91: 111-125. PMID: 36067656, DOI: 10.1016/j.clinimag.2022.08.018.Peer-Reviewed Educational MaterialsCitationsMeSH Keywords and ConceptsConceptsContrast-enhanced chest CTChest X-rayPulmonary arteryEnlarged pulmonary arteryPulmonary vascular pathologyPulmonary artery anatomyEveryday clinical practiceAsymptomatic patientsImaging findingsPulmonary vasculatureArtery anatomyChest CTUrgent treatmentMediastinal structuresVascular pathologyArteryClinical practicePhysiologic dataEntire thoraxVessel wallPatientsDetailed evaluationPathologyWide spectrumQuantification of flowEarly-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
Wismüller A, DSouza AM, Abidin AZ, Ali Vosoughi M, Gange C, Cortopassi IO, Bozovic G, Bankier AA, Batra K, Chodakiewitz Y, Xi Y, Whitlow CT, Ponnatapura J, Wendt GJ, Weinberg EP, Stockmaster L, Shrier DA, Shin MC, Modi R, Lo HS, Kligerman S, Hamid A, Hahn LD, Garcia GM, Chung JH, Altes T, Abbara S, Bader AS. Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. Npj Digital Medicine 2022, 5: 120. PMID: 35986059, PMCID: PMC9388980, DOI: 10.1038/s41746-022-00653-2.Peer-Reviewed Original ResearchCitationsAltmetricConceptsNatural language processingImage analysis serviceRadiology reportsSoftware infrastructureService requestsData harvestingAnalysis servicesLanguage processingCommercial AIGround truthManual reviewNLP accuracyExploratory toolResult dataComputed tomography pulmonary angiogramAIHealthcare systemPulmonary embolismInfrastructureRequestsEarly COVID-19 pandemicPE casesServicesAccuracyProcessingStandardizing the Reporting of Incidental, Non-Lung Cancer (Category S) Findings Identified on Lung Cancer Screening Low-Dose CT Imaging
Tanoue LT, Sather P, Cortopassi I, Dicks D, Curtis A, Michaud G, Bader A, Gange C, Detterbeck F, Killam J. Standardizing the Reporting of Incidental, Non-Lung Cancer (Category S) Findings Identified on Lung Cancer Screening Low-Dose CT Imaging. Chest 2022, 161: 1697-1706. PMID: 35032477, DOI: 10.1016/j.chest.2021.12.662.Peer-Reviewed Educational MaterialsCitationsAltmetricMeSH Keywords and ConceptsConceptsLung cancer screeningCancer screeningIncidental findingAmerican CollegeLung cancer screening studyLung CT Screening ReportingRelevant specialty societiesLung nodulesCancer screening studyLow-dose CT scansPreventive health maintenanceStandardization of reportingLung cancerS findingsCancer findingsPatient distressLDCT scansCT scanPositive findingsHealth maintenanceCT imagingStandardized reportingSpecialty societiesScreening studyPotential harm
Clinical Care
Copy Link
Overview
Christopher Gange Jr., MD, is a diagnostic radiologist who specializes in thoracic oncology. He reads chest X-rays, CT scans, and MRIs for patients at Yale New Haven Hospital and outpatient centers throughout Connecticut.
“I work every day to improve the diagnosis of cancer, infection, and other lung diseases,” Dr. Gange says. “Radiology encompasses many of my favorite things, as I have always been interested in new technology, science, and health care. I love technology and using it to help people.”
Dr. Gange is also interested in informatics and applying new technology to improve the accuracy and efficiency of lung imaging. He is involved in research that focuses on using machine learning tools to expedite the reading of chest CTs and X-rays, and creating data registries to improve research on lung cancer and infections. “Recently, my focus also has shifted to the COVID-19 pandemic. I was part of teams that created data registries of COVID patient imaging data and worked to validate a new method to more safely perform portable chest X-rays,” he says.
But his best moments are, “when I read a cancer staging follow-up study and the cancer has improved,” he says. It’s also rewarding when his work contributes to an early diagnosis. He tells patients, “Don't put those follow-up scans off. Even if the news is not exactly what you wanted to hear, it is always best to know as soon as possible.”
Clinical Specialties
Are You a Patient?
View this doctor's clinical profile on the Yale Medicine website for information about the services we offer and making an appointment.
View Doctor ProfileNews
Copy Link
Get In Touch
Copy Link
Contacts
Cardiothoracic Imaging
20 York St, Dept of Radiology and Biomedical Imaging
New Haven, CT 06510
United States