People

Gregory Karczmar, PhD

  • Professor of Radiology
    Committee on Cancer Biology
    Committee on Medical Physics
  • Research and Scholarly Interests: Breast cancer screening with MRI, Community outreach, Prostate cancer screening with MRI, Quantitative MRI, Screening iof underserved groups
  • Websites: Research Network Profile
  • Contact: gskarczm@uchicago.edu
  • Graduate Program: Medical Physics

I have developed new approaches to functional and anatomic magnetic resonance imaging for over 30 years. I’ve applied these methods to improve detection and accurate diagnosis of cancer, and monitor cancer response to therapy. I am the Director of Magnetic Resonance Imaging Research at the University of Chicago, and Co-Director of the Advanced Imaging Program of the University of Chicago Comprehensive Cancer center. I’ve collaborated with our outstanding mammographic group and medical physics colleagues for many years to build internationally recognized research program in quantitative breast cancer MR imaging – which parallels and compliments a leading clinical program in breast cancer diagnosis and management. Similarly, I’ve collaborated with Dr. Oto and others to develop a leading translational research program focused on improving prostate cancer screening with MRI, and using MRI to guide therapye. With these collaborators, I’ve made pioneering contributions to MRI methods that improve prostate and breast cancer diagnosis and treatment. My research includes use of pre-clinical methods for breast and prostate cancer to improve understanding of cancer biology and guide the development of improved clinical methods.

University of California at Berkeley
Berkeley, CA
Ph.D. - Physical Chemistry
1984

Reed College
Portland
B.A - Physical Chemistry
1977

Comparison of DCE-MRI of murine model cancers with a low dose and high dose of contrast agent.
Zhou X, Fan X, Mustafi D, Pineda F, Markiewicz E, Zamora M, Sheth D, Olopade OI, Oto A, Karczmar GS. Comparison of DCE-MRI of murine model cancers with a low dose and high dose of contrast agent. Phys Med. 2020 Dec 26; 81:31-39.
PMID: 33373779

Signal intensity form of the Tofts model for quantitative analysis of prostate dynamic contrast enhanced MRI data.
Fan X, Chatterjee A, Medved M, Oto A, Karczmar GS. Signal intensity form of the Tofts model for quantitative analysis of prostate dynamic contrast enhanced MRI data. Phys Med Biol. 2020 Nov 12.
PMID: 33181487

T2*-weighted MRI as a non-contrast-enhanced method for assessment of focal laser ablation zone extent in prostate cancer thermotherapy.
Sun C, Wang S, Chatterjee A, Medved M, Eggener S, Karczmar GS, Oto A. T2*-weighted MRI as a non-contrast-enhanced method for assessment of focal laser ablation zone extent in prostate cancer thermotherapy. Eur Radiol. 2021 Jan; 31(1):325-332.
PMID: 32785769

Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer.
Mustafi D, Valek R, Fitch M, Werner V, Fan X, Markiewicz E, Fernandez S, Zamora M, Mueller J, Olopade OI, Conzen SD, Brady MJ, Karczmar GS. Magnetic resonance angiography reveals increased arterial blood supply and tumorigenesis following high fat feeding in a mouse model of triple-negative breast cancer. NMR Biomed. 2020 10; 33(10):e4363.
PMID: 32881124

Sensitivity to myelin using model-free analysis of the water resonance line-shape in postmortem mouse brain.
Foxley S, Wildenberg G, Sampathkumar V, Karczmar GS, Brugarolas P, Kasthuri N. Sensitivity to myelin using model-free analysis of the water resonance line-shape in postmortem mouse brain. Magn Reson Med. 2021 Feb; 85(2):667-677.
PMID: 32783262

Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images.
Penn AI, Medved M, Dialani V, Pisano ED, Cole EB, Brousseau D, Karczmar GS, Gao G, Reich BD, Abe H. Discrimination of benign from malignant breast lesions in dense breasts with model-based analysis of regions-of-interest using directional diffusion-weighted images. BMC Med Imaging. 2020 06 09; 20(1):61.
PMID: 32517657

Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.
Wu C, Hormuth DA, Oliver TA, Pineda F, Lorenzo G, Karczmar GS, Moser RD, Yankeelov TE. Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics. IEEE Trans Med Imaging. 2020 Sep; 39(9):2760-2771.
PMID: 32086203

Effect of Echo Times on Prostate Cancer Detection on T2-Weighted Images.
Chatterjee A, Nolan P, Sun C, Mathew M, Dwivedi D, Yousuf A, Antic T, Karczmar GS, Oto A. Effect of Echo Times on Prostate Cancer Detection on T2-Weighted Images. Acad Radiol. 2020 11; 27(11):1555-1563.
PMID: 31992480

A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI.
He D, Fan X, Chatterjee A, Wang S, Medved M, Pineda FD, Yousuf A, Antic T, Oto A, Karczmar GS. A compact solution for estimation of physiological parameters from ultrafast prostate dynamic contrast enhanced MRI. Phys Med Biol. 2019 08 07; 64(15):155012.
PMID: 31220816

Low-dose imaging technique (LITE) MRI: initial experience in breast imaging.
Pineda F, Sheth D, Abe H, Medved M, Karczmar GS. Low-dose imaging technique (LITE) MRI: initial experience in breast imaging. Br J Radiol. 2019 Nov; 92(1103):20190302.
PMID: 31271535

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