Drew A. Torigian, MD

Radiology
Accepting new patients
Sees patients age 18 and up
Headshot of Drew A. Torigian, MD
Penn Medicine Provider

About me

  • Clinical Director, Medical Imaging Processing Group (MIPG)
  • Professor of Radiology at the Hospital of the University of Pennsylvania

My education and training

  • Medical School: New York University School of Medicine
  • Residency: New York University School of Medicine
  • Residency: University of Pennsylvania Health System
  • Fellowship: University of Pennsylvania Health System

Spoken languages

English
English

Insurance accepted

Please contact the practice and/or the member services department of your insurance company for specific details before receiving services. Providers may participate in some, but not all, products offered by a health plan; providers may also accept plans at some practice locations but not others.

Locations

Penn Medicine hospital privileges

  • Hospital of the University of Pennsylvania: Has privileges to treat patients in the hospital.
  • Pennsylvania Hospital: Has privileges to treat patients in the hospital.
  • Penn Presbyterian Medical Center: Has privileges to treat patients in the hospital.
  • Penn Medicine Rittenhouse Long-Term Acute Care Hospital
  • Chester County Hospital: Has privileges to treat patients in the hospital.
Dr. Torigian is a Penn Medicine physician.

Qualifications and experience

Treatments and conditions

Research

Publications

Lomer NB, Sadeghpour S, Torigian DA. FDG-PET/CT parameters for distinguishing high and low microsatellite instability in colorectal cancer: A systematic review and meta-analysis. , Ann Nucl Med: 2026 In Press


Shah RM, Torigian DA. Assessment of Long-Term Temporal Evolution of Chest CT findings in Granulomatous-Lymphocytic Interstitial Lung Disease (GLILD). , J Thorac Imaging: 2026 In Press


Motamedi N, Singh SB, Gandhi OH, Gujral J, Ismoilov M, Niazi SK, Shrestha BB, Ahmed M, Jha G, Werner TJ, Torigian DA, Revheim M-E, Alavi A. Application of [18F]NaF and [18F]FDG PET/CT to assess molecular calcification and glucose metabolism in thyroid cartilage. , Cartilage: 2026 In Press


207., Wei S, Deng Y, Lee J, Lan H, Yang Z, Labrie M, Betts CB, Duan H, Tate B, Pucilowska J, Frederick D, Lawless AR, Sharova T, Yang Y, Hu W, Beasley GM, Schuchter LM, Wang X, Xu W, Yong G, Vandenberg MEG, Torigian DA, Sivagnanam S, Du K, Sugarman E, McGettigan S, Zheng C, Al-Rohil RN, Selim MA, Datto MB, López GY, Nair SK, Ashley DM, Xu X, Amaravadi RK, Karakousis GC, O'Rourke DM, Brem S, O'Malley BW, Demirkan G, Yu S, Lu Y, Camp T, Patterson JA, Wei Z, Corless C, Gabrilovich DI, Mou Y, Flaherty KT, Coussens LM, Boland G, Herlyn M, Mills G, Liu L, Zhang G. A longitudinal, multi-omic atlas reveals the emergence of a spatially organized immunosuppressive ecosystem in resistant melanoma. , Cell Rep Med, 7(4): 2026,102716


Shahidzadeh A, Shahidzadeh A, Biko DM, Gogel S, Mayer OH, Cahill PJ, Anari JB, Torigian DA, Tong Y, Udupa JK. Coupling maps for visualizing chest wall-diaphragm coordination in pediatric thoracic insufficiency syndrome from 4D dynamic MRI. , Proc SPIE 13930, Medical Imaging 2026: Imaging Informatics, 139301K (2 Apr 2026); https://doi.org/10.1117/12.3087708, 13930(139301K): 2026


Xie L, Grevera GJ, Tong Y, Wu C, Liu Z, Torigian DA, Udupa JK. CAVASS-DL: an enhanced computer-assisted visualization and analysis software system by integrating deep-learning segmentation models. , Proc SPIE 13927, Medical Imaging 2026: Image-Guided Procedures, Robotic Interventions, and Modeling, 139272D (1 Apr 2026); https://doi.org/10.1117/12.3087224, 13927(139272D): 2026


Hall D, Udupa JK, Nln Y, Tong Y, Wu C, Torigian DA. Hybrid‑intelligence framework for pathological liver segmentation and disease localization in CT imaging. , Proc SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 139262J (2 Apr 2026); https://doi.org/10.1117/12.3087377, 13926(139262J): 2026


Chenxi J, Chen EY, Tong Y, Xu W, Gan E, Torigian DA, Udupa JK, Rajapakse C. Anatomy orientation‑guided auto‑segmentation of bones from hip 3T magnetic resonance imaging. , Proc SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 139262C (2 Apr 2026); https://doi.org/10.1117/12.3086302, 13926(139262C): 2026


Xie L, Tong Y, Wu C, Torigian DA, Udupa JK, Wan Y. Tumor-SAM: segment anything model for semi-automatic lung tumor segmentation in CT. , Proc SPIE 13929, Medical Imaging 2026: Clinical and Biomedical Imaging, 139290H (1 Apr 2026); https://doi.org/10.1117/12.3087226, 13929(139290H): 2026


Ha D, Tong Y, Torigian DA, Udupa JK. Predicting the effort required to manually mend auto-segmentations. , IEEE J Biomed Health Inform, 30(4): 2026,3160-3172