Senior investigator and professor of biostatistics Diana Miglioretti, PhD, is committed to improving health care by building the evidence base for personalized cancer screening. To achieve this goal, Dr. Miglioretti pursues a rigorous combination of applied and methodological research. Her work focuses on the benefits and risks of cancer screening and appropriate use of screening and diagnostic tools including medical imaging.
Dr. Miglioretti co-leads the Breast Cancer Surveillance Consortium (BCSC)—a network of breast imaging registries that has the largest and most comprehensive collection of breast cancer screening data in the nation. Established in 1994, the BCSC is currently supported by a $17 million program project grant from the National Cancer Institute. The vast BCSC database includes information on about 12 million film, digital, and 3D mammograms for more than 2.4 million women. The BCSC also has extensive data on newer methods such as digital breast tomosynthesis (also called 3D mammography) and breast MRI (magnetic resonance imaging).
Dr. Miglioretti’s expertise in maximizing the value of the BCSC data includes establishing and evaluating data collection, helping individual sites and outside researchers with analyses, and developing new statistical techniques. In part through her efforts, results from BCSC studies have helped guide national breast cancer screening policy decisions and clinical guidelines. A few examples of Dr. Miglioretti’s BCSC studies are:
Other examples of Dr. Miglioretti’s research include:
In addition to her KPWHRI faculty position, Dr. Miglioretti is the Dean’s Professor of Biostatistics in the Department of Public Health Sciences, School of Medicine, University of California, Davis. She enthusiastically shares her expertise as an instructor at the Radiological Society of North America's (RSNA) annual workshop in clinical trials methodology, which prepares radiologists to develop clinical research protocols and apply for funding.
Among Dr. Miglioretti’s professional memberships are the American Association for Cancer Research, the International Biometrics Society Eastern and Western North America regions, and the American Statistical Association, for which she was elected a fellow.
Clustered and longitudinal data analysis; latent variable modeling; assessment of diagnostic and screening tests
Biostatistics; breast cancer screening and surveillance; mammographic breast density; risk prediction
Imaging trends; radiation exposure from medical imaging; evaluation of imaging tests
Miglioretti DL, Lang J, van den Broek JJ, Lee CI, van Ravesteyn N, RitleyD, Kerlikowske K, Fenton JJ, Melnikow J, de Koning HJ, Hubbard RA Radiation-induced breast cancer incidence and mortality from digital mammography screening: a modeling study. Ann Intern Med. 2016 Jan 12. doi: 10.7326/M15-1241. [Epub ahead of print].
Mandelblatt JS, Stout NK, Schechter CB, van den Broek JJ, Miglioretti DL, Krapcho M, Trentham-Dietz A, Munoz D, Lee SJ, Berry DA, van Ravesteyn NT, Alagoz O, Kerlikowske K, Tosteson AN, Near AM, Hoeffken A, Chang Y, Heijnsdijk EA, Chisholm G, Huang X, Huang H, Ergun MA, Gangnon R, Sprague BL, Plevritis S, Feuer E, de Koning HJ, Cronin KA. Collaborative modeling of the benefits and harms associated with different U.S. breast cancer screening strategies. Ann Intern Med. 2016 Jan 12. doi: 10.7326/M15-1536. [Epub ahead of print]. PubMed
Melnikow J, Xing G, Cox G, Leigh P, Mills L, Miglioretti DL, Moghadassi M, Smith-Bindman R. Cost analysis of the STONE randomized trial: can health care costs be reduced one test at a time? Med Care. 2016 Jan 12. [Epub ahead of print].
Sherman ME, Ichikawa L, Pfeiffer RM, Miglioretti DL, Kerlikowske K, Tice J, Vacek PM, Gierach GL. Relationship of predicted risk of developing invasive breast cancer, as assessed with three models, and breast cancer mortality among breast cancer patients. PLoS One. 2016 Aug 25;11(8):e0160966. doi: 10.1371/journal.pone.0160966. eCollection 2016. PubMed
Smith-Bindman R, Miglioretti D. Cell-free DNA analysis for noninvasive examination of trisomy. N Engl J Med. 2015 Dec 24;373(26):2581. doi: 10.1056/NEJMc1509344#SA1.
Miglioretti DL, Zhu W, Kerlikowske K, Sprague BL, Onega T, Buist DS, Henderson LM, Smith RA. Breast tumor prognostic characteristics and biennial vs annual mammography, age, and menopausal status. JAMA Oncol. 2015 Nov 1;1(8):1069-77. doi: 10.1001/jamaoncol.2015.3084.
Smith-Bindman R, Moghadassi M, Wilson N, Nelson TR, Boone JM, Cagnon CH, Gould R, Hall DJ, Krishnam M, Lamba R, McNitt-Gray M, Seibert A, Miglioretti DL. Radiation doses in consecutive CT examinations from five University of California medical centers. Radiology. 2015 Oct;277(1):134-41. doi: 10.1148/radiol.2015142728. Epub 2015 May 19. PubMed
Gard CC, Aiello Bowles EJ, Miglioretti DL, Taplin SH, Rutter CM. Misclassification of Breast Imaging Reporting And Data System (BI-RADS) mammographic density and implications for breast density reporting legislation. Breast J. 2015 Sep-Oct;21(5):481-9. doi: 10.1111/tbj.12443. Epub 2015 Jul 1. PubMed
Bahadori A, Miglioretti D, Kruger R, Flynn M, Weinmann S, Smith-Bindman R,Lee C. Calculation of organ doses for a large number of patients undergoing computed tomography examinations. AJR Am J Roentgenol. 2015 Oct;205(4):827-33. doi: 10.2214/AJR.14.14135.
Lehman C, Wellman RD, Buist DS, Kerlikowske K, Tosteson AN, Miglioretti DL. Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Intern Med. 2015 Sep 28:1-10. doi: 10.1001/jamainternmed.2015.5231. [Epub ahead of print].
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HealthDay, Nov 8, 2019