Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • M.D., University of Pittsburgh 2001
  • B.A., Stanford University 1996
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  Previous Appointments & Affiliations

  • Assistant Professor of Radiology, Radiology, Breast Imaging, Radiology 2011 - 2020
  • Clinical Associate in the Department of Radiology, Radiology, Breast Imaging, Radiology 2007 - 2011
  • Clinical Associate in the Department of Radiology, Radiology, Clinical Science Departments 2006 - 2007
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Grimm, Lars J., Benjamin Neely, Rui Hou, Vignesh Selvakumaran, Jay A. Baker, Sora C. Yoon, Sujata V. Ghate, et al. “Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography.” Ajr Am J Roentgenol 216, no. 4 (April 2021): 903–11. https://doi.org/10.2214/AJR.20.23679.
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    • Selvakumaran, Vignesh, Rui Hou, Jay A. Baker, Sora C. Yoon, Sujata V. Ghate, Ruth Walsh, Tyler P. Litton, et al. “Predicting Upstaging of DCIS to Invasive Disease: Radiologists's Predictive Performance.” Acad Radiol 27, no. 11 (November 2020): 1580–85. https://doi.org/10.1016/j.acra.2019.12.009.
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    • Lee, Yueh Z., Connor Puett, Christina R. Inscoe, Beilin Jia, Connie Kim, Ruth Walsh, Sora Yoon, et al. “Initial Clinical Experience with Stationary Digital Breast Tomosynthesis.” Acad Radiol 26, no. 10 (October 2019): 1363–72. https://doi.org/10.1016/j.acra.2018.12.026.
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    • Saha, Ashirbani, Lars J. Grimm, Sujata V. Ghate, Connie E. Kim, Mary S. Soo, Sora C. Yoon, and Maciej A. Mazurowski. “Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.” J Magn Reson Imaging 50, no. 2 (August 2019): 456–64. https://doi.org/10.1002/jmri.26636.
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    • Grimm, Lars J., Ashirbani Saha, Sujata V. Ghate, Connie Kim, Mary Scott Soo, Sora C. Yoon, and Maciej A. Mazurowski. “Relationship between Background Parenchymal Enhancement on High-risk Screening MRI and Future Breast Cancer Risk.” Acad Radiol 26, no. 1 (January 2019): 69–75. https://doi.org/10.1016/j.acra.2018.03.013.
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    • Saha, Ashirbani, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Sujata V. Ghate, Ruth Walsh, and Maciej A. Mazurowski. “A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features.” Br J Cancer 119, no. 4 (August 2018): 508–16. https://doi.org/10.1038/s41416-018-0185-8.
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    • Perlman, Katherine L., Rebecca A. Shelby, Anava A. Wren, Sarah A. Kelleher, Caroline S. Dorfman, Erin O’Connor, Connie Kim, Karen S. Johnson, and Mary Scott Soo. “Positive and negative mood following imaging-guided core needle breast biopsy and receipt of biopsy results.” Psychol Health Med 22, no. 10 (December 2017): 1149–62. https://doi.org/10.1080/13548506.2016.1271438.
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    • Saha, Ashirbani, Lars J. Grimm, Michael Harowicz, Sujata V. Ghate, Connie Kim, Ruth Walsh, and Maciej A. Mazurowski. “Interobserver variability in identification of breast tumors in MRI and its implications for prognostic biomarkers and radiogenomics.” Med Phys 43, no. 8 (August 2016): 4558. https://doi.org/10.1118/1.4955435.
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    • Soo, Mary Scott, Jennifer A. Jarosz, Anava A. Wren, Adrianne E. Soo, Yvonne M. Mowery, Karen S. Johnson, Sora C. Yoon, et al. “Imaging-Guided Core-Needle Breast Biopsy: Impact of Meditation and Music Interventions on Patient Anxiety, Pain, and Fatigue.” J Am Coll Radiol 13, no. 5 (May 2016): 526–34. https://doi.org/10.1016/j.jacr.2015.12.004.
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    • Mazurowski, Maciej A., Lars J. Grimm, Jing Zhang, P Kelly Marcom, Sora C. Yoon, Connie Kim, Sujata V. Ghate, and Karen S. Johnson. “Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms.” Eur J Radiol 84, no. 11 (November 2015): 2117–22. https://doi.org/10.1016/j.ejrad.2015.07.012.
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    • Grimm, Lars J., Mary S. Soo, Sora Yoon, Connie Kim, Sujata V. Ghate, and Karen S. Johnson. “Abbreviated screening protocol for breast MRI: a feasibility study.” Acad Radiol 22, no. 9 (September 2015): 1157–62. https://doi.org/10.1016/j.acra.2015.06.004.
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    • Grimm, Lars J., Sujata V. Ghate, Sora C. Yoon, Cherie M. Kuzmiak, Connie Kim, and Maciej A. Mazurowski. “Predicting error in detecting mammographic masses among radiology trainees using statistical models based on BI-RADS features.” Med Phys 41, no. 3 (March 2014): 031909. https://doi.org/10.1118/1.4866379.
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    • Ghate, Sujata V., Jay A. Baker, Connie E. Kim, Karen S. Johnson, Ruth Walsh, and Mary Scott C. Soo. “Using the BI-RADS lexicon in a restrictive form of double reading as a strategy for minimizing screening mammography recall rates.” Ajr Am J Roentgenol 198, no. 4 (April 2012): 962–70. https://doi.org/10.2214/AJR.11.6648.
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    • Webb, Lincoln J., Ehsan Samei, Joseph Y. Lo, Jay A. Baker, Sujata V. Ghate, Connie Kim, Mary Scott Soo, and Ruth Walsh. “Comparative performance of multiview stereoscopic and mammographic display modalities for breast lesion detection.” Med Phys 38, no. 4 (April 2011): 1972–80. https://doi.org/10.1118/1.3562901.
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    • Pollard, Benjamin J., Ehsan Samei, Amarpreet S. Chawla, Jay Baker, Sujata Ghate, Connie Kim, Mary S. Soo, and Noriyuki Hashimoto. “The influence of increased ambient lighting on mass detection in mammograms.” Acad Radiol 16, no. 3 (March 2009): 299–304. https://doi.org/10.1016/j.acra.2008.08.017.
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    • Kim, Connie E., and H Scott Beasley. “MRI diagnosis of subpubic cartilaginous cyst.” Ajr Am J Roentgenol 182, no. 1 (January 2004): 144–46. https://doi.org/10.2214/ajr.182.1.1820144.
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    • Kim, Connie E., Judith M. Joyce, Nimish Patel, and James Lichter. “Fortuitous detection of papillary carcinoma of the thyroid with F-18 FDG positron emission tomography in a patient with non-Hodgkin lymphoma.” Clin Nucl Med 28, no. 9 (September 2003): 782–83. https://doi.org/10.1097/01.rlu.0000082675.64816.22.
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    • Yao, Dorcas C., R Brooke Jeffrey, Stuart E. Mirvis, Arnold Weekes, Michael P. Federle, Connie Kim, Michael J. Lane, Priya Prabhakar, Randall Radin, and Philip W. Ralls. “Using contrast-enhanced helical CT to visualize arterial extravasation after blunt abdominal trauma: incidence and organ distribution.” Ajr Am J Roentgenol 178, no. 1 (January 2002): 17–20. https://doi.org/10.2214/ajr.178.1.1780017.
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  • Conference Papers

    • Ren, Y., J. Lu, Z. Liang, L. J. Grimm, C. Kim, M. Taylor-Cho, S. Yoon, J. R. Marks, and J. Y. Lo. “Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12905 LNCS:345–54, 2021. https://doi.org/10.1007/978-3-030-87240-3_33.
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    • Saha, A., M. R. Harowicz, L. J. Grimm, C. E. Kim, S. V. Ghate, R. Walsh, and M. A. Mazurowski. “Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: A large scale evaluation.” In Progress in Biomedical Optics and Imaging  Proceedings of Spie, Vol. 10575, 2018. https://doi.org/10.1117/12.2293207.
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• Teaching & Mentoring
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  Recent Courses

  • RADIOL 402C: Breast Imaging 2023
  • RADIOL 402C: Breast Imaging 2022
  • RADIOL 402C: Breast Imaging 2021

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