Mitchell D. Schnall, MD, PhD

faculty photo
Eugene P. Pendergrass Professor of Radiology
Chairman, Department of Radiology , Department of Radiology, Perelman School of Medicine at theUniversity of Pennsylvania
Department: Radiology
Graduate Group Affiliations

Contact information
Department of Radiology
Perelman School of Medicine
HUP, One Silverstein, Suite 130
3400 Spruce Street
Philadelphia, PA 19104
Office: 215-662-3030
Fax: 215-662-7011
Education:
B.S. (Physics)
University of Pennsylvania, 1981.
Ph.D. (Biophysics)
University of Pennsylvania, 1986.
M.D.
University of Pennsylvania, 1986.
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Description of Clinical Expertise

Radiology, Magnetic Resonance Imaging

Selected Publications

Cember ATJ, Wilson NE, Rich LJ, Bagga P, Nanga RPR, Swago S, Swain A, Thakuri D, Elliot M, Schnall MD, Detre JA, Reddy R.: Integrating (1)H MRS and deuterium labeled glucose for mapping the dynamics of neural metabolism in humans. Neuroimage 251: 118977, Feb 2022.

Burnett-Hartman AN, Carroll NM, Honda SA, Joyce C, Mitra N, Neslund-Dudas C, Olaiya O, Rendle KA, Schnall MD, Vachani A, Ritzwoller DP.: Community-based Lung Cancer Screening Results in Relation to Patient and Radiologist Characteristics: The PROSPR Consortium. Ann Am Thorac Soc 2022.

Pisano ED, Gatsonis C, Sparano J, Troester MA, Yaffe M, Cole E, Schnall MD.: RE: Advanced Breast Cancer Definitions by Staging System Examined in the Breast Cancer Surveillance Consortium. J Natl Cancer Inst 113: 938-939, Jul 2021.

MacLean MT, Jehangir Q, Vujkovic M, Ko YA, Litt H, Borthakur A, Sagreiya H, Rosen M, Mankoff DA, Schnall MD, Shou H, Chirinos J, Damrauer SM, Torigian DA, Carr R, Rader DJ, Witschey WR.: Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J Am Med Inform Assoc 28: 1178-1187, Jun 2021.

McDonald ES, Romanoff J, Rahbar H, Kitsch AE, Harvey SM, Whisenant JG, Yankeelov TE, Moy L, DeMartini WB, Dogan BE, Yang WT, Wang LC, Joe BN, Wilmes LJ, Hylton NM, Oh KY, Tudorica LA, Neal CH, Malyarenko DI, Comstock CE, Schnall MD, Chenevert TL, Partridge SC.: Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial. Radiology 2021.

Stillman AE, Gatsonis C, Lima JAC, Liu T, Snyder BS, Cormack J, Malholtra V, Schnall MD, Udelson JE, Hoffmann U, Woodard PK; RESCUE investigators *.: Coronary Computed Tomography Angiography Compared With Single Photon Emission Computed Tomography Myocardial Perfusion Imaging as a Guide to Optimal Medical Therapy in Patients Presenting With Stable Angina: The RESCUE Trial. J Am Heart Assoc 9: e017993, Dec 2020.

Weinstein SP, Korhonen K, Cirelli C, Schnall MD, McDonald ES, Pantel AR, Zuckerman S, Borthakur A, Conant EF.: Abbreviated Breast Magnetic Resonance Imaging for Supplemental Screening of Women With Dense Breasts and Average Risk. J Clin Oncol 38: 3874-3882, Nov 2020.

Barlow WE, Beaber EF, Geller BM, Kamineni A, Zheng Y, Haas JS, Chao CR, Rutter CM, Zauber AG, Sprague BL, Halm EA, Weaver DL, Chubak J, Doria-Rose VP, Kobrin S, Onega T, Quinn VP, Schapira MM, Tosteson ANA, Corley DA, Skinner CS, Schnall MD, Armstrong K, Wheeler CM, Silverberg MJ, Balasubramanian BA, Doubeni CA, McLerran D, Tiro JA.: Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium. J Natl Cancer Inst 112: 238-246, Mar 2020.

Rich, Laurie J; Bagga, Puneet; Wilson, Neil E; Schnall, Mitchell D; Detre, John A; Haris, Mohammad; Reddy, Ravinder.: 1H magnetic resonance spectroscopy of 2H-to-1H exchange quantifies the dynamics of cellular metabolism in vivo. Nature Biomedical Engineering 4(3): 335, March 2020.

Chitalia RD, Rowland J, McDonald ES, Pantalone L, Cohen EA, Gastounioti A, Feldman M, Schnall M, Conant E, Kontos D.: Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence. Clin Cancer Res 26: 862-869, Feb 2020.

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Last updated: 05/31/2022
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