Kirti Magudia | Scholars@Duke

Kirti Magudia
Assistant Professor in the Department of Radiology

Kirti Magudia, MD, PhD is an Assistant Professor of Radiology at Duke University School of Medicine. She completed fellowship in abdominal imaging and ultrasound at the University of California, San Francisco and Diagnostic Radiology Residency at Brigham & Women's Hospital. Her research centers on high-level applications of machine learning in radiology, including CT-based body composition analysis and prostate MR, which was facilitated by 7 dedicated months at the MGH/BWH Center for Clinical Data Science and a year long T32 research fellowship in the Biomedical Imaging for Clinical Scientists Program at UCSF. She was the founding resident chair of the Brigham and Women’s Hospital Women in the Radiology Program and has extensively advocated for family-friendly trainee policies. Dr. Magudia is a graduate of the Tri-institutional MD/PhD program of Weill Cornell, Sloan-Kettering, and Rockefeller University, where she completed her Ph.D. in cell and cancer biology in the laboratory of Alan Hall developing a novel 3D cell culture model of colon tumorigenesis.

Current Appointments & Affiliations

Assistant Professor in the Department of Radiology, Radiology, Abdominal Imaging, Radiology 2021

Contact Information

Department of Radiology, 3808 DUMC, Durham, NC 27710
Department of Radiology, DUMC 3808, Durham, NC 27710
kirti.magudia@duke.edu (919) 684-0692

Background
Education, Training, & Certifications
- Abdominal Imaging and Ultrasound Fellowship, Radiology, University of California San Francisco, School of Medicine 2020 - 2021
- Biomedical Imaging for Clinical Scientists T32 Program, Radiology, University of California San Francisco, School of Medicine 2019 - 2020
- Diagnostic Radiology Residency, Radiology, Brigham and Women's Hospital 2015 - 2019
- Transitional Year Internship, Memorial Sloan-Kettering Cancer Center 2014 - 2015
- M.D., Cornell University, Weill Medical College 2014
- Ph.D., Cornell University, Weill Medical College 2012
- B.Sc., University of California - Berkeley 2004
Research
Selected Grants
- Optimizing Preoperative Assessment and Postoperative Management of Bariatric Surgery Patients with Fully Automated, High Throughput and Normalized CT-Based Body Composition Analysis awarded by Radiological Society of North America 2022 - 2023
- Prediction of clinically significant prostate cancer and prostate¿cancer related outcomes from only T2 weighted imaging using machine learning awarded by Society of Abdominal Radiology 2021 - 2022
External Relationships
- Dana Farber Cancer Institute
- University of California, San Francisco
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Magudia, Kirti, Christopher P. Bridge, Camden P. Bay, Subrina Farah, Ana Babic, Florian J. Fintelmann, Lauren K. Brais, Katherine P. Andriole, Brian M. Wolpin, and Michael H. Rosenthal. “Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.” Ajr Am J Roentgenol 220, no. 2 (February 2023): 236–44. https://doi.org/10.2214/AJR.22.27977.
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  - Chen, Cathy H., Jamie R. Davison, Jordan D. Perchik, Elizabeth K. Arleo, Kirti Magudia, and Kristin K. Porter. “How to implement paid family and medical leave: A toolkit for practices.” Clin Imaging 91 (November 2022): 52–55. https://doi.org/10.1016/j.clinimag.2022.08.004.
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  - Dave, Priya, Kristin Porter, and Kirti Magudia. “It is the climb that matters most: The personal and professional journey of Dr. Katarzyna Macura.” Clin Imaging 91 (November 2022): 56–59. https://doi.org/10.1016/j.clinimag.2022.08.012.
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  - Velarde, Nathan, Antonio C. Westphalen, Hao G. Nguyen, John Neuhaus, Katsuto Shinohara, Jeffry P. Simko, Peder E. Larson, and Kirti Magudia. “US lesion visibility predicts clinically significant upgrade of prostate cancer by systematic biopsy.” Abdom Radiol (Ny) 47, no. 3 (March 2022): 1133–41. https://doi.org/10.1007/s00261-021-03389-x.
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  - Magudia, Kirti, Mark D. Sugi, Patricia Balthazar, Karen Donelan, Rajan T. Gupta, and Katherine E. Maturen. “The SCARD Fellowship Policy and the Abdominal Imaging Fellowship: A Follow-up Survey After the First Year.” Acad Radiol 29, no. 2 (February 2022): 287–93. https://doi.org/10.1016/j.acra.2020.12.004.
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  - Bridge, Christopher P., Till D. Best, Maria M. Wrobel, J Peter Marquardt, Kirti Magudia, Cylen Javidan, Jonathan H. Chung, Jayashree Kalpathy-Cramer, Katherine P. Andriole, and Florian J. Fintelmann. “A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.” Radiol Artif Intell 4, no. 1 (January 2022): e210080. https://doi.org/10.1148/ryai.210080.
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  - Gupta, Rajan T., Melanie P. Caserta, Kirti Magudia, William R. Masch, John D. Millet, Mark D. Sugi, Benjamin Wildman-Tobriner, and Katherine E. Maturen. “Past, present, and future of abdominal radiology fellowship recruitment.” Abdom Radiol (Ny) 46, no. 12 (December 2021): 5462–65. https://doi.org/10.1007/s00261-021-03257-8.
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  - Magudia, Kirti, Christopher P. Bridge, Katherine P. Andriole, and Michael H. Rosenthal. “The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications.” J Digit Imaging 34, no. 6 (December 2021): 1424–29. https://doi.org/10.1007/s10278-021-00505-7.
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  - Magudia, Kirti, Shauna R. Campbell, Erika L. Rangel, Elizabeth Kagan Arleo, Reshma Jagsi, Debra F. Weinstein, and Thomas S. C. Ng. “Medical Specialty Board Parental, Caregiver, and Medical Leave Policy Updates After 2021 American Board of Medical Specialties Mandate.” Jama 326, no. 18 (November 9, 2021): 1867–70. https://doi.org/10.1001/jama.2021.15871.
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  - Wiggins, Walter F., Kirti Magudia, Teri M Sippel Schmidt, Stacy D. O’Connor, Christopher D. Carr, Marc D. Kohli, and Katherine P. Andriole. “Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.” Radiol Artif Intell 3, no. 6 (November 2021): e210152. https://doi.org/10.1148/ryai.2021210152.
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  - Wiggins, Walter F., M Travis Caton, Kirti Magudia, Michael H. Rosenthal, and Katherine P. Andriole. “A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees.” J Digit Imaging 34, no. 4 (August 2021): 1026–33. https://doi.org/10.1007/s10278-021-00492-9.
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  - Magudia, Kirti, Thomas S. C. Ng, Shauna R. Campbell, Patricia Balthazar, Elizabeth H. Dibble, Comron J. Hassanzadeh, Neil Lall, et al. “Family and Medical Leave for Diagnostic Radiology, Interventional Radiology, and Radiation Oncology Residents in the United States: A Policy Opportunity.” Radiology 300, no. 1 (July 2021): 31–35. https://doi.org/10.1148/radiol.2021210798.
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  - Magudia, Kirti, Christopher P. Bridge, Camden P. Bay, Ana Babic, Florian J. Fintelmann, Fabian M. Troschel, Nityanand Miskin, et al. “Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.” Radiology 298, no. 2 (February 2021): 319–29. https://doi.org/10.1148/radiol.2020201640.
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  - Wiggins, Walter F., M Travis Caton, Kirti Magudia, Sha-Har A. Glomski, Elizabeth George, Michael H. Rosenthal, Glenn C. Gaviola, and Katherine P. Andriole. “Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.” Radiol Artif Intell 2, no. 6 (November 2020): e200057. https://doi.org/10.1148/ryai.2020200057.
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  - Magudia, Kirti, Mark D. Sugi, Patricia Balthazar, Karen Donelan, Camden P. Bay, Rajan Gupta, and Katherine Maturen. “Prospects of a Fellowship Match for Abdominal Imaging: A National Survey by the Society of Abdominal Radiology.” J Am Coll Radiol 17, no. 6 (June 2020): 804–11. https://doi.org/10.1016/j.jacr.2020.02.003.
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  - Magudia, Kirti, Olga Laur, Cory Robinson-Weiss, Sonia Sahu, Debra Leonard, Catherine H. Phillips, and Stacy E. Smith. “Women in Radiology: Obtaining Departmental Sponsorship and Building a Sustainable Organization Led by Residents.” J Am Coll Radiol 17, no. 3 (March 2020): 441–43. https://doi.org/10.1016/j.jacr.2019.11.011.
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- Preprints
  - Rajagopal, Abhejit, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven Raman, Kirti Magudia, Corey W. Arnold, and Peder E. Z. Larson. “Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology,” June 11, 2022.
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Education, Training, & Certifications

Selected Grants

External Relationships

Selected Publications

Academic Articles

Preprints