Diana L. Miglioretti, PhD

Senior Investigator

206-287-4266
dmiglioretti@ucdavis.edu
miglioretti.d@ghc.org

Recent publications

Curriculum vitae (CV)

 

 

 

Research interests and experience

  • Biostatistics: clustered and longitudinal data analysis; latent variable modeling; assessment of diagnostic and screening tests
  • Cancer control: biostatistics; breast cancer screening and surveillance; mammographic breast density; risk prediction; colorectal cancer screening
  • Radiology: Imaging trends; radiation exposure from medical imaging; evaluation of imaging tests

Senior Investigator and Biostatistician Diana Miglioretti is committed to helping improve early detection of breast cancer. She pursues a rigorous combination of applied and methodological research, overseeing analyses of the largest and most comprehensive collection of breast cancer screening data in the nation.

Dr. Miglioretti co-leads the Breast Cancer Surveillance Consortium (BCSC)—a network of mammography registries linked to tumor and pathology registries. Established in 1994, the BCSC kicked off a new $20 million Program Project grant from the National Cancer Institute (NCI) in 2011. Dr. Miglioretti serves as the program’s contact principal investigator (PI) and the Director of the Biostatistics and Data Management Core, which houses the Statistical Coordinating Center—the repository and central analysis site for all BCSC data.

The vast BCSC database includes information on more than 9.5 million mammograms, 2.3 million women, and 114,000 breast cancer cases. Dr. Miglioretti leads the SCC in maximizing the value of these data: establishing and evaluating data collection, helping individual sites and outside researchers with analyses, and developing new statistical techniques. Through these efforts, BCSC data play an essential role in formulating national breast cancer screening policy decisions and clinical guidelines. It’s a one-of-a-kind resource that lets researchers worldwide answer timely questions about benefits and risks of breast cancer screening.

For example, Dr. Miglioretti worked with GHRI Senior Investigator Diana Buist, PhD, MPH, and colleagues from the University of Sydney in Australia on the first-ever study to rigorously assess screening mammography outcomes for women who’d had breast cancer before. Examining 12 years of information from more than 110,000 mammograms, they found that yearly screening detected second breast cancers at an early stage—results they published February 23, 2011 in the Journal of the American Medical Association (see news release).

Another example comes from Dr. Miglioretti’s collaboration with NCI’s Cancer Intervention and Surveillance Modeling Network (CISNET) and the Oregon Evidence-based Practice Center. Publishing in the May 1, 2012, Annals of Internal Medicine, the team found that women age 40 to 49 with a twofold increase in breast cancer risk who have screening mammograms every two years experience similar benefits and harms as average-risk women who start biennial screening at age 50 (see news release).

BCSC data are also being used to better understand variation in radiologists’ interpretive performance of mammography. In the Assessing and Improving Mammography (AIM) study, Dr. Miglioretti worked with BCSC collaborators to develop mammography test sets to assess individual radiologist's interpretive performance (see news release). She is currently working with international colleagues to expand the test set to compare radiologist performance across many counties as part of the International Cancer Screening Network.

Additionally, Dr. Miglioretti develops statistical methods to more rigorously analyze longitudinal mammography data and is tackling questions related to the rapidly increasing use of diagnostic imaging. As imaging rates trend upward, so does exposure to medical radiation—results she reported June 12, 2012, in the Journal of the American Medical Association with Rebecca Smith-Bindman, MD, of the University of California, San Francisco, and colleagues from the Cancer Research Network (see news release).

These many achievements earned Dr. Miglioretti an appointment as the Dean’s Professor of Biostatistics in the Department of Public Health Sciences, School of Medicine at the University of California, Davis—a position she undertook at the outset of 2013, while still maintaining her leadership role in the BCSC and other key GHRI projects. Dr. Miglioretti enthusiastically shares her expertise as an instructor at the Radiological Society of North America's (RSNA) annual workshop in clinical trials methodology, which aims to prepare radiologists to develop clinical research protocols and apply for funding. Among her many professional memberships are the American Association for Cancer Research, the International Biometrics Society Eastern and Western North America regions (ENAR and WNAR), and the American Statistical Association, for whom she served as a Council of Sections representative in Biometrics.

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Recent publications

Geller BM, Bogart A, Carney PA, Sickles EA, Smith RA, Monsees B, Bassett LW, Buist DM, Kerlikowske K, Onega T, Yankaskas B, Haneuse S, Hill DA, Wallis M, Miglioretti DL. Educational interventions to improve screening mammography interpretation: a randomized, controlled trial. AJR Am J Roentgenol. 2014 Jun;202(6):W586-96. doi: 10.2214/AJR.13.11147.

Stout NK, Lee SJ, Schechter CB, Kerlikowske K, Alagoz O, Berry D, Buist DS, Cevik M, Chisholm G, de Koning HJ, Huang H, Hubbard RA, Miglioretti DL, Munsell MF, Trentham-Dietz A, van Ravesteyn NT, Tosteson AN, Mandelblatt JS. Benefits, harms and costs for breast cancer screening in the U.S. following implementation of digital mammography. J Natl Cancer Inst. 2014 May 28;106(6). pii: dju092. doi: 10.1093/jnci/dju092. Print 2014 Jun.

Houssami N, Abraham LA, Onega T, Collins LC, Sprague BL, Hill DA, Miglioretti DL. Accuracy of screening mammography in women with a history of lobular carcinoma in situ or atypical hyperplasia of the breast. Breast Cancer Res Treat. 2014 May 7 [Epub ahead of print]. PubMed

Trentham-Dietz A, Sprague BL, Hampton JM, Miglioretti DL, Nelson HD, Titus LJ, Egan KM, Remington PL, Newcomb PA. Modification of breast cancer risk according to age and menopausal status: a combined analysis of five population-based case-control studies. Breast Cancer Res Treat. 2014;145(1):165-75. doi: 10.1007/s10549-014-2905-y. PubMed

Keegan J, Miglioretti DL, Gould R, Donnelly LF, Wilson ND, Smith-Bindman R. Radiation dose metrics in CT: assessing dose using the national quality forum CT patient safety measure. J Am Coll Radiol. 2014;11(3):309-15. doi: 10.1016/j.jacr.2013.10.009. PubMed

Miglioretti DL, Zhang Y, Johnson E, Lee C, Morin RL, Vanneman N, Smith-Bindman R. Personalized technologist dose audit feedback for reducing patient radiation exposure from CT. J Am Coll Radiol. 2014;11(3):300-8. doi: 10.1016/j.jacr.2013.10.017. PubMed

Burnside ES, Lin Y, Munoz Del Rio A, Pickhardt PJ, Wu Y, Strigel RM, Elezaby MA, Kerr EA, Miglioretti DL. Addressing the challenge of assessing physician-level screening performance: mammography as an example. PLoS One. 2014 Feb 21;9(2):e89418. doi: 10.1371/journal.pone.0089418. PubMed

Menes TS, Rosenberg R, Balch S, Jaffer S, Kerlikowske K, Miglioretti DL. Upgrade of high-risk breast lesions detected on mammography in the Breast Cancer Surveillance Consortium. Am J Surg. 2014 Jan;207(1):24-31. doi:10.1016/j.amjsurg.2013.05.014. Epub 2013 Oct 7. PubMed

Wernli KJ, O’Meara E, Kerlikowske K, Miglioretti D, Muller CY, Onega T, Sprague B, Henderson L, Buist DS. Investigation of mammographic breast density as a risk factor for ovarian cancer. J Nat Cancer Inst. 2014 Jan 1;106(1):djt341. doi: 10.1093/jnci/djt341. Epub 2013 Dec 5. PubMed

O'Meara ES, Zhu W, Hubbard RA, Braithwaite D, Kerlikowske K, Dittus KL, Geller B, Wernli KJ, Miglioretti DL. Mammographic screening interval in relation to tumor characteristics and false-positive risk by race/ethnicity and age. Cancer. 2013 Nov 15;119(22):3959–67. [Epub 2013 Aug 26]. PubMed

Rutter CM, Miglioretti DL, Savarino JE. Bayesian calibration of microsimulation models, Journal of the American Statistical Association, 2009; 104(488):1338–1350.

To view more publications, please see Dr. Miglioretti’s CV.

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