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, Department of Breast Imaging, 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 |
Experience & Service
Administrative Appointments/Responsibilities
Director of IT, Department of Breast Imaging, Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, 2020 - Present
Professional Memberships
Selected Publications
Peer-Reviewed Articles
- Musall BC, Abdelhafez AH, Adrada BE, Candelaria RP, Mohamed RMM, Boge M, Le-Petross H, Arribas E, Lane DL, Spak DA, Leung JWT, Hwang K, Son JB, Elshafeey NA, Mahmoud HS, Wei P, Sun J, Zhang S, White JB, Ravenberg EE, Litton JK, Damodaran S, Thompson AM, Moulder SL, Yang WT, Pagel MD, Rauch GM, Ma J.. Functional tumor volumes by fast DCE-MRI for predicting neoadjuvant systemic therapy response of triple-negative breast cancer. Journal of Magnetic Resonance Imaging, 2021.
- 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
- Rauch GM, Adrada BE, Candelaria RP, Elshafeey N, Abdelhafez AH, Musall BC, Sun J, Boge M, Mohamed RMM, Son JB, Zhang S, Leung J, Lane D, Scoggins M,<b>Spak D<b>, Arribas E, Santiago L, Whitman GJ, Le-Petross HT, Moseley TW, White JB, Ravenberg E, Hwang KP, Wei P, Huo L, Litton JK, Valero V, Tripathy D, Thompson AM, Page MD, Ma J, Yang WT Moulder S. Volumetric changes on longitudinal Dynamic Contrast Enhanced MR Imaging (DCE-MRI) as an early treatment response predictor to Neoadjuvant Systemic Therapy (NAST) in Triple Negative Breast Cancer (TNBC) Patients. San Antonio Breast Cancer Symposium, 2020.
- Zhan S, Rauch GM, Adrada BE, Boge M, Mohamed RMM, Abdelhafez AH, Son JM, Sun J, Elshafeey NA, White JB, Lane DL, Leung JWT, Scoggins ME, Spak DA, Arribas E, Ravenberg E, Santiago L, Moseley TW, Whitman GJ, Le-Petross H, Musall BC, Miyoshi M, Wang X, Willis B, Hash S, Kotrotsou A, Wei P, Hwang K-P, Thompson A, Moulder SL, Candelaria RP, Yang W, Ma J, Pagel MD. Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST) MRI: a pilot study. San Antonio Breast Cancer Symposium, 2020.
- Elshafeey NA, Adrada BE, Candelaria R, Abdelhafez AH, Musall BC, Sun J, Boge M, Mohamed RMM, Mahmoud HS, Son JB, Kotrosou A, Zhang S, Leung J, Lane D, Scoggins M, Spak D, Arribas E, Santiago L, Whitman GJ, Le-Petross HT, Moseley TW, White JB, Ravenberg E, Hwang K, Wei P, Litton JK, Huo L, Tripathy D, Valero V, Thompson AM, Moulder S, Yang WT, Pagel MD, Ma J, Rauch GM.. Radiomic phenotypes from Dynamic Contrast-Enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in Triple Negative Breast Cancer (TNBC) patients. San Antonio Breast Cancer Symposium, 2020.
- 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 DA, 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 DA, 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.