Credentials
Positions
- Professor Emeritus of Radiology and Medicine, Department of Radiology at NYU Grossman School of Medicine
- Research Professor, Department of Radiology at NYU Grossman School of Medicine
Board Certifications
- American Board of Radiology - Diagnostic Radiology, 1980
Education and Training
- Fellowship, Johns Hopkins Hospital, Radiology, 1980
- Residency, Johns Hopkins Hospital, Radiology, 1979
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Edit profileInsurance Plans Accepted
This provider accepts the following insurance plans.
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Aetna
- Aetna HMO
- Aetna Indemnity
- Aetna Medicare
- Aetna POS
- Aetna PPO/EPO
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Agewell
- Agewell
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American Imaging Network
- American Imaging Network
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Amidacare
- Amidacare
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Blue Cross Blue Shield
- Empire BCBS Top Tier
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Centerlight
- Centerlight
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Centers Plan For Healthy Living
- Centers Plan for Healthy Living
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Cigna
- Cigna EPO/POS
- Cigna PPO
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ElderPlan
- ElderPlan
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Emblem
- Emblem Select Care Exchange
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Empire Blue Cross Blue Shield
- Empire Blue Cross Blue Shield EPO
- Empire Blue Cross Blue Shield HMO
- Empire Blue Cross Blue Shield HealthPlus
- Empire Blue Cross Blue Shield Indemnity
- Empire Blue Cross Blue Shield MediBlue
- Empire Blue Cross Blue Shield POS
- Empire Blue Cross Blue Shield PPO
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Fidelis
- Fidelis Child Health
- Fidelis Exchange
- Fidelis Medicaid
- Fidelis Medicare
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GHI
- GHI CBP
- GHI HMO
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HIP
- HIP Access I
- HIP Access II
- HIP Child Health
- HIP EPO/PPO
- HIP HMO
- HIP Medicaid
- HIP Medicare
- HIP POS
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Hamaspik Choice
- Hamaspik Choice Medicare DSNP
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Healthfirst
- Healthfirst
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Hotel Trades
- Hotel Trades
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Humana
- Humana Medicare
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Local 1199
- Local 1199 PPO
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Longevity Health Plan
- Longevity Health Plan Medicare
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MagnaCare
- MagnaCare PPO
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Medicaid
- NY Medicaid
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Medicare
- Medicare
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MetroPlus
- MetroPlus Child Health
- MetroPlus Exchange Plans
- MetroPlus Medicaid
- MetroPlus Medicare
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MultiPlan/PHCS
- MultiPlan/PHCS PPO
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NYS Health Insurance Plan
- The Empire Plan
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Oscar
- Oscar
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Oxford
- Oxford Freedom
- Oxford Liberty
- Oxford Medicare
- Oxford Metro
- Oxford Mosaic
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Railroad Medicare
- Railroad Medicare
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Senior Whole Health
- Senior Whole Health
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Tricare
- Tricare
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UHC
- UnitedHealthcare EPO
- UnitedHealthcare HMO
- UnitedHealthcare Medicare
- UnitedHealthcare POS
- UnitedHealthcare PPO
- UnitedHealthcare Top Tier
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UPN
- UPN Elite
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US
- US Department of Labor
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United Healthcare
- UHC Medicare Complete Choice Regional PPO
- United Healthcare Compass Exchange /CareCore / Charter
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VNS
- Visiting Nurse Service (VNS) Medicare
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Village Caremax
- Village Caremax
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WTC Health Program
- WTC Health Program
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WellCare
- WellCare Medicare
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Workers Comp
- Workers Comp
David P. Naidich, MD does not accept insurance.
Locations and Appointments
NYU Radiology Associates
660 1st Avenue, 7th Floor, New York, NY 10016
Research My Research
Research Summary
Currently, CT represents the best method for evaluating the entire spectrum of thoracic disease. With the introduction of multidetector CT scanners, including those with as many as 16 rows, the potential list of applications for use of CT to evaluate the chest continues to expand. Currently, topics of greatest interest include:
1. Lung Cancer Screening. While controversial, the ability of CT to detect tiny nodules as small as 5 - 8 mm represents a significant improvement over conventional image techniques, leaving open the possibility of early detection of lung cancer while still respectable. Based on preliminary non-randomized studies, the NCI has undertaken a massive randomized screening study - the National Lung Cancer Screening Trial (NLST), to include 50,000 individuals in each arm, the results of which should be available within the next several years.
2. Lung Nodule Characterization. On off-shoot of lung cancer screening initiatives, considerable interest has been directed towards methods for characterizing small lung nodules. This includes precise methods for determining subtle changes in nodule volume as well as the potential to perform contrast enhanced CT evaluation of nodule perfusions and permeability.
3. Computer Assisted Diagnosis (CAD). Also as a product of intense interest in lung cancer screening, considerable effort is now being directed towards the use of computers to identify and characterize small lung nodules otherwise potentially missed by radiologists. With the introduction of MDCT, we are now confronted with as many as 600 - 1,000 images/case. This increases the probability that small early lung cancers may be missed. Continued development in this field is leading toward use of CAD as a standard second read for all CT studies.
4. Pulmonary Embolism. The introduction of multidetector CT scanners over the past decade has revolutionized our approach to the diagnosis of pulmonary embolism. Using 4 and 16 detector CT scanners, we are now routinely able to scan the entire thorax using high resolution 1 - 1.25 mm sections. This enables us to obtain high quality contrast enhanced images of even 5th and 6th order pulmonary emboli, essentially obviating pulmonary angiography in nearly all cases.
5. CT guided bronchoscopy. With the recent introduction of ultrathin bronchoscopes it is now possible to directly access even small peripheral lung lesions. This has led to the development of virtual bronchoscopic methods for visualizing 8th - 10th order bronchi in order to provide bronchoscopists with an accurate roadmap, otherwise unobtainable using routine CT or fluoroscopic techniques.
1. Lung Cancer Screening. While controversial, the ability of CT to detect tiny nodules as small as 5 - 8 mm represents a significant improvement over conventional image techniques, leaving open the possibility of early detection of lung cancer while still respectable. Based on preliminary non-randomized studies, the NCI has undertaken a massive randomized screening study - the National Lung Cancer Screening Trial (NLST), to include 50,000 individuals in each arm, the results of which should be available within the next several years.
2. Lung Nodule Characterization. On off-shoot of lung cancer screening initiatives, considerable interest has been directed towards methods for characterizing small lung nodules. This includes precise methods for determining subtle changes in nodule volume as well as the potential to perform contrast enhanced CT evaluation of nodule perfusions and permeability.
3. Computer Assisted Diagnosis (CAD). Also as a product of intense interest in lung cancer screening, considerable effort is now being directed towards the use of computers to identify and characterize small lung nodules otherwise potentially missed by radiologists. With the introduction of MDCT, we are now confronted with as many as 600 - 1,000 images/case. This increases the probability that small early lung cancers may be missed. Continued development in this field is leading toward use of CAD as a standard second read for all CT studies.
4. Pulmonary Embolism. The introduction of multidetector CT scanners over the past decade has revolutionized our approach to the diagnosis of pulmonary embolism. Using 4 and 16 detector CT scanners, we are now routinely able to scan the entire thorax using high resolution 1 - 1.25 mm sections. This enables us to obtain high quality contrast enhanced images of even 5th and 6th order pulmonary emboli, essentially obviating pulmonary angiography in nearly all cases.
5. CT guided bronchoscopy. With the recent introduction of ultrathin bronchoscopes it is now possible to directly access even small peripheral lung lesions. This has led to the development of virtual bronchoscopic methods for visualizing 8th - 10th order bronchi in order to provide bronchoscopists with an accurate roadmap, otherwise unobtainable using routine CT or fluoroscopic techniques.
Academic Contact
Academic office
660 First Avenue
Seventh Floor
New York, NY 10016
Phone
212-263-5568
Publications
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Bankier, Alexander A; MacMahon, Heber; Colby, Thomas; Gevenois, Pierre Alain; Goo, Jin Mo; Leung, Ann N C; Lynch, David A; Schaefer-Prokop, Cornelia M; Tomiyama, Noriyuki; Travis, William D; Verschakelen, Johny A; White, Charles S; Naidich, David P
Radiology. 2024 Feb ; 310(2):e232558
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Gruden, James F; Green, Daniel B; Girvin, Francis G; Naidich, David P
Radiologic clinics of North America. 2022 Nov ; 60(6):873-888
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Cherian, Sujith V; Patel, Dhara; Machnicki, Stephen; Naidich, David; Stover, Diane; Travis, William D; Brown, Kevin K; Naidich, Jason J; Mahajan, Akhilesh; Esposito, Michael; Mina, Bushra; Lakticova, Viera; Cohen, Stuart L; Muller, Nestor L; Schulner, Jenna; Shah, Rakesh; Raoof, Suhail
Chest. 2022 Jul ; 162(1):156-178