Long H. Tu, MD, PhD
Assistant Professor of Radiology and Biomedical ImagingCards
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Radiology & Biomedical Imaging
20 York Street, South Pavilion, 2nd Floor
New Haven, CT 06520
United States
About
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Titles
Assistant Professor of Radiology and Biomedical Imaging
Biography
Dr. Long H. Tu is an emergency/trauma radiologist, neuroradiologist, and physician-scientist at Yale School of Medicine. Dr. Tu is a graduate of Yale's Diagnostic Radiology residency and Neuroradiology fellowship, where he served as chief resident and chief fellow respectively. He subsequently completed clinical and research fellowships at Yale in Emergency/Trauma Radiology.
Dr. Tu serves as co-Medical Director of Clinical Affairs in Radiology, Director of Resident Education in Neuroradiology, and Deputy Director of Emergency Neuroradiology. Dr. Tu directs a multi-disciplinary, multi-site research group (the “TL|DR”) which advances stroke diagnosis, imaging stewardship, and workflow efficiency. Dr. Tu’s ongoing research addresses the role of imaging in stroke prevention, healthcare cost, and population health.
Dr. Tu is the author/editor of 4 textbooks, including the widely-read texts “Search Pattern” and “How to be a More Efficient Radiologist.” He the author/co-author of more than 100 published articles, chapters, and reviews. Dr. Tu has provided more than 200 lectures/presentations at professional meetings and produced more than 60 online lectures. Dr. Tu has designed more than 100 reporting, clinical decision support, workflow automation tools in active use at Yale as well as throughout the United States. He has served as primary mentor to more than 50 post-doctoral researchers, trainees, and students.
Appointments
Radiology & Biomedical Imaging
Assistant ProfessorPrimary
Other Departments & Organizations
- Clinical Radiology
- Neuroradiology
- Radiology & Biomedical Imaging
- Tu Lab
- Yale Medicine
- Yale New Haven Health System
Education & Training
- PhD
- Yale Graduate School of Arts and Sciences (2023)
- Research Fellow, Emergency Radiology
- Yale School of Medicine (2023)
- Clinical Fellow, Emergency Radiology
- Yale School of Medicine (2022)
- Chief Fellow, Neuroradiology
- Yale New Haven Hospital (2021)
- Chief Resident, Radiology
- Yale New Haven Hospital (2020)
- Resident, Radiology
- Yale New Haven Hospital (2019)
- Internship
- Kaweah Delta Health District (2016)
- MD
- University of Connecticut School of Medicine (2009)
Research
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Overview
Medical Research Interests
Public Health Interests
ORCID
0000-0002-2419-5581- View Lab Website
Tu Lab | Diagnostic Research
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Ajay Malhotra, MBBS, MD, MMM, FACR
Howard Forman, MD, MBA, FACR
Arjun Venkatesh, MD, MBA, MHS
Amit Mahajan, MD, MBBS
Ted Melnick, MD, MHS
Kevin Sheth, MD, FAHA
Stroke
Quality Improvement
Diagnostic Errors
Publications
2026
Third and fourth branchial cleft cysts – A 25-year institutional experience of imaging detection and pathologic diagnosis
Rahmani S, de Oliveira Santo I, Kim J, Nguyen J, Tu L. Third and fourth branchial cleft cysts – A 25-year institutional experience of imaging detection and pathologic diagnosis. Clinical Imaging 2026, 133: 110770. PMID: 41780117, DOI: 10.1016/j.clinimag.2026.110770.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsBranchial cleft cystCleft cystInstitutional experienceSingle-time-point imagingExploratory logistic regressionPathological confirmationSurgery ratesPathological diagnosisCystic lesionsCystic abnormalitiesInclusion criteriaEmergency departmentPatientsClinical settingRadiology reportsLesionsLogistic regressionIBM SPSS StatisticsSurgeryModalitiesCTPPVCystsPathologySPSS StatisticsA systematic approach to detection of epileptogenic foci on imaging: protocols, entities, search pattern, and reporting tools.
Lozano R, Dixe de Oliveira Santo I, Kenny-Howel C, Bronen R, Adin M, Tu L. A systematic approach to detection of epileptogenic foci on imaging: protocols, entities, search pattern, and reporting tools. The Neuroradiology Journal 2026, 19714009261417577. PMID: 41544245, PMCID: PMC12811103, DOI: 10.1177/19714009261417577.Peer-Reviewed Original ResearchImaging donor site complications after autologous breast reconstruction flaps: a pictorial review
Rahmani S, DO C, Ly Q, Ahmadzadeh A, Zahedpasha R, Asif M, Kertam A, Tu L. Imaging donor site complications after autologous breast reconstruction flaps: a pictorial review. Emergency Radiology 2026, 1-17. PMID: 41511624, DOI: 10.1007/s10140-025-02431-5.Peer-Reviewed Original ResearchConceptsDeep inferior epigastric perforatorProfunda artery perforatorAutologous breast reconstructionDonor site complicationsMagnetic resonance imagingBreast reconstructionSite complicationsComputed tomographyPictorial reviewTransverse rectus abdominis myocutaneous (TRAM) flapAbdominal wall bulgingClinically significant complicationsAutologous fat graftingPost-mastectomy reconstructionLatissimus dorsi flapMultimodal imaging featuresWound dehiscenceReconstructive flapsSignificant complicationsDiagnostic challengeFat necrosisPostoperative changesArtery perforatorFat graftingDorsi flapEfficient, Not Exhausted-From Training to Practice, an AJR Podcast Series (Episode 7).
Raichandani S, Tu L. Efficient, Not Exhausted-From Training to Practice, an AJR Podcast Series (Episode 7). American Journal Of Roentgenology 2026, 1. PMID: 41499705, DOI: 10.2214/ajr.25.34461.Peer-Reviewed Original ResearchAltmetricChapter 19 Machine learning applications in neuroradiology
Tegtmeyer K, Tu L. Chapter 19 Machine learning applications in neuroradiology. Advances In Magnetic Resonance Technology And Applications 2026, 13: 545-563. DOI: 10.1016/b978-0-443-14109-6.00019-5.Peer-Reviewed Original Research
2025
Differentiating Glioma from Brain Metastasis Using Neurite Orientation Dispersion and Density Imaging; A Systematic Review and Meta-Analysis.
Ahmadzadeh A, Broomand Lomer N, Ghaderi S, Afarideh Sani M, Bathla G, Tu L. Differentiating Glioma from Brain Metastasis Using Neurite Orientation Dispersion and Density Imaging; A Systematic Review and Meta-Analysis. American Journal Of Neuroradiology 2025, ajnr.a9148. PMID: 41412743, DOI: 10.3174/ajnr.a9148.Peer-Reviewed Original ResearchConceptsStandardized mean differencePeritumoral edema areaBrain metastasesNoninvasive imaging biomarkerOrientation dispersion indexIntracellular volume fractionGlioblastoma subgroupIsotropic volume fractionDifferential diagnosisEdema areaDiagnosis of intracranial tumorsDifferential diagnosis of intracranial tumorsMean differenceSystematic reviewImaging biomarkersContrast-enhancing tumorNeurite orientation dispersionMeta-analysisContrast-enhancing regionNewcastle-Ottawa ScaleBegg and Egger testsRandom-effects modelBM patientsNo significant differenceIntracranial tumorsTrends in Head CT Use in US Emergency Department Patients From 2007 to 2022
Dylla L, Krothapalli N, Tu L, Payabvash S, Burke J, Sheth K, Wira C, de Havenon A. Trends in Head CT Use in US Emergency Department Patients From 2007 to 2022. Neurology 2025, 105: e214347. PMID: 41259742, DOI: 10.1212/wnl.0000000000214347.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHead CT scanHead CTCT scanHead CT useNational Hospital Ambulatory Medical Care SurveyCT useED encountersRetrospective cohort analysisMultivariate logistic regressionEmergency department patientsLength of stayPatient agePatient demographicsCT usageNeurological emergencyCohort analysisDepartment patientsED delaysPatientsRural hospitalsEmergency departmentED admissionLogistic regressionStudy exposureCare SurveyApplication of Deep Learning for Predicting Hematoma Expansion in Intracerebral Hemorrhage Using Computed Tomography Scans: A Systematic Review and Meta-Analysis of Diagnostic Accuracy
Ahmadzadeh A, Ashoobi M, Broomand Lomer N, Elyassirad D, Gheiji B, Vatanparast M, Bathla G, Tu L. Application of Deep Learning for Predicting Hematoma Expansion in Intracerebral Hemorrhage Using Computed Tomography Scans: A Systematic Review and Meta-Analysis of Diagnostic Accuracy. La Radiologia Medica 2025, 130: 1973-1985. PMID: 40932678, DOI: 10.1007/s11547-025-02089-6.Peer-Reviewed Original ResearchCitationsConceptsQuality Assessment of Diagnostic Accuracy Studies-2Hematoma expansionIntracerebral hemorrhageDiagnostic likelihood ratiosComputed tomographySubgroup analysisPositive diagnostic likelihood ratioMeta-analysis of diagnostic accuracyIntensive blood pressure controlDiagnostic Accuracy Studies-2Intracerebral hemorrhage patientsDeeks' asymmetry testDiagnostic odds ratioArea under the curveComputed tomography scanEffects of individual studiesBlood pressure controlNegative diagnostic likelihood ratiosComprehensive literature searchInter-group differencesResultsTwenty-two studiesRadiomics scoreTomography scanDiagnostic accuracyHemostatic drugsBrain 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 ResearchAltmetricConceptsNon-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 exposureA Systematic Approach to the Evaluation of Lumbosacral Plexus MRI: Indications, Protocol, Anatomy, and Pathology.
Rahmani S, Hamilton C, Dixe de Oliveira Santo I, Nguyen J, Zaree O, Kenny-Howell C, Kirsch C, Tu L. A Systematic Approach to the Evaluation of Lumbosacral Plexus MRI: Indications, Protocol, Anatomy, and Pathology. American Journal Of Neuroradiology 2025, 47: 300-312. PMID: 40854685, PMCID: PMC12867042, DOI: 10.3174/ajnr.a8976.Peer-Reviewed Original ResearchAltmetricConceptsPlexus magnetic resonance imagingMagnetic resonance imagingLumbosacral plexusTurbo spin echoChronic inflammatory demyelinating polyneuropathyVolumetric Interpolated Breath-hold ExaminationInflammatory demyelinating polyneuropathySpin echoAcquisition single-shot turbo spin-echoPeripheral nerve disordersSingle-shot turbo spin-echoHalf-Fourier acquisition single-shot turbo spin-echoDiffusion-weighted imagingMagnetic resonance imaging protocolShort-tau inversion recoveryBreath-hold examinationTau inversion recoveryApplication-optimized contrastsFlip angle evolutionsSteady-state free precessionCompressive etiology
Clinical Care
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Overview
Long H. Tu, MD, PhD, is a diagnostic radiologist at Yale New Haven Hospital. He serves patients within three clinical services: emergency/trauma radiology, neuroradiology, and thoracic radiology. Dr. Tu has special expertise in emergency neuroradiology, including the imaging and diagnosis of patients with acute neurological conditions.
In his academic role, Dr. Tu serves as a faculty member in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. He advances the quality, safety, and efficiency of care through roles as an administrator, educator, researcher, and clinician. Dr. Tu also directs a multidisciplinary research group, teaches students and trainees, and writes educational and scientific works for a broad medical audience.
Clinical Specialties
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Radiology & Biomedical Imaging
20 York Street, South Pavilion, 2nd Floor
New Haven, CT 06520
United States