David A. Spak, M.D.
Department of Breast Imaging, Division of Diagnostic Imaging
About David A. Spak
David Spak is an Assistant Professor at The University of Texas MD Anderson Cancer Center. He joined the breast imaging section at MD Anderson after completing his fellowship training in 2018. Dr. Spak currently practices in a multidisciplinary environment while participating in resident and fellow training. His clinical interests include application of minimally invasive diagnostic and interventional techniques using mammography, ultrasound, breast MRI, and molecular breast imaging.
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Present Title & Affiliation
Primary Appointment
Assistant Professor, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
Education & Training
Degree-Granting Education
| 2012 | McGovern Medical School, Houston, TX, USA, MD, Doctor of Medicine |
| 2004 | The University of Texas at Austin, Austin, TX, USA, BS, Computer Science |
Postgraduate Training
| 2017-2018 | Clinical Fellowship, The University of Texas MD Anderson Cancer Center, Houston, TX |
| 2013-2017 | Clinical Residency, McGovern Medical School, Houston, TX |
| 2012-2013 | Clinical Internship, Providence Sacred Heart Medical Center, Spokane, WA |
Board Certifications
| 2018 | American Board of Radiology |
| 2017 | Texas Medical Board |
Professional Memberships
Selected Publications
Peer-Reviewed Articles
- Yalniz C, Rosenblat J, Spak D, Wei W, Scoggins M, Le-Petross C, Dryden MJ, Adrada B, Dogan BE. Association of retrospective peer review and positive predictive value of magnetic resonance imaging-guided vacuum-assisted needle biopsies of breast. Eur J Breast Health 15(4):229-234, 2019. e-Pub 2019. PMID: 31620681.
- Spak D, Le-Petross H. Screening modalities for women at intermediate and high risk for breast cancer. Current Breast Cancer Reports, 2019. e-Pub 2019.
- Spak D, Plaxco J, Santiago L, Dryden M, Dogan B. BI-RADS fifth edition: A summary of changes. Diagnostic Interventional Imaging 98:179-190, 2017. e-Pub 2017. PMID: 28131457.
Abstracts
- Adrada B, Arribas E, Candelaria R, Dryden M, Huabg M, Lane D, Le-Petross H, Leung J, Moseley T, Rauch G, Santiago L, Scoggins M, Spak D, Whitman G, Yang W. Tumor necrosis at baseline dynamic contrast enhanced (DCE) MRI for prediction of neoadjuvant chemotherapy treatment (NACT) response in triple negative breast cancer (TNBC) patients, 2019.
- Adrada B, Arribas E, Candelaria R, Dryden M, Huabg M, Lane D, Le-Petross H, Leung J, Moseley T, Rauch G, Santiago L, Scoggins M, Spak D, Whitman G, Yang W. Quantitative tumor volumes by fast dynamic contrast enhanced (DCE) MRI predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NACT) in triple negative breast cancer (TNBC), 2019.
- Adrada B, Arribas E, Candelaria R, Dryden M, Huabg M, Lane D, Le-Petross H, Leung J, Moseley T, Rauch G, Santiago L, Scoggins M, Spak D, Whitman G, Yang W. Precision imaging: Early ultrasound evaluation (US) to identify excellent responders to neoadjuvant chemotherapy (NAC) in patients (pts) with triple negative breast cancer (TNBC), 2019.
- Adrada B, Arribas E, Candelaria R, Dryden M, Huabg M, Lane D, Le-Petross H, Leung J, Moseley T, Rauch G, Santiago L, Scoggins M, Spak D, Whitman G, Yang W. Predicting pathologic complete response with ultrasound tumor characteristics in triple negative breast cancer patients, 2019.
- Adrada A, Abdelhafez A, Musall B, Son J, Pagel M, Hwang K, Candelaria R, Santiago L, Whitman G, Le-Petross H, Moseley T, Arribas E, Lane D, Scoggins M,Spak D, Leung J, Damodaran S, Lim B, Valero V, White J, Litton J, Moulder S, Ma J, Yang W, Rauche G, Huo L. “Radiomics of quantitative apparent diffusion coefficient (ADC) from fibroglandular tissue (FGT) for prediction of tumor infiltrating lymphocytes (TIL) levels and neoadjuvant chemotherapy treatment (NACT) response in triple negative breast cancer (TNBC). San Antonio Breast Cancer Symposium, 2019.
- Adrada A, Abdelhafez A, Musall B, Son J, Pagel M, Hwang K, Candelaria R, Santiago L, Whitman G, Le-Petross H, Moseley T, Arribas E, Lane D, Scoggins M, Spak D, Leung J, Damodaran S, Lim B, Valero V, White J, Litton J, Moulder S, Ma J, Yang W, Rauche G, Huo L. Quantitative apparent diffusion coefficient (ADC) radiomics of tumor and peritumoral regions as potential predictors of treatment response to neoadjuvant chemotherapy (NACT) in triple negative breast cancer (TNBC) patients. San Antonio Breast Cancer Symposium, 2019.
- Santiago L, Spak D, Diaz V, Arribas EM. 3D printed breast models as a novel teaching tool for learning Bi-RADS in breast MRI. Association of University Radiologists, 2019.
- Jones C, Spak D, Surabhi V, Moore A, Hasapes J, Maneevese M, Matta M. Retrospective review of diffusion weighted imaging as a single modality for hepatocellular carcinoma detection. Texas Radiological Society annual meeting, 2019.