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
Demb J, Chu P, Yu S, Whitebird R, Solberg L, Miglioretti DL, Smith-Bindman R. Analysis of computed tomography radiation doses used for lung cancer screening scans. JAMA Intern Med. 2019 Sep 23. doi: 10.1001/jamainternmed.2019.3893. [Epub ahead of print]. PubMed
Reed SC, Bell JF, Miglioretti DL, Nekhlyudov L, Fairman N, Joseph JG. Fear of cancer recurrence and associations with mental health status and individual characteristics among cancer survivors:findings from a nationally representative sample. J Psychosoc Oncol. 2019 Sep 11:1-18. doi: 10.1080/07347332.2019.1649338. [Epub ahead of print]. PubMed
Lowry KP, Trentham-Dietz A, Schechter CB, Alagoz O, Barlow WE, Burnside ES, Conant EF, Hampton JM, Huang H, Kerlikowske K, Lee SJ, Miglioretti DL, Sprague BL, Tosteson ANA, Yaffe M, Stout NK. Long-term outcomes and cost-effectiveness of breast cancer screening with digital breast tomosynthesis in the United States. J Natl Cancer Inst. 2019 Sep 10. pii: 5567105. doi: 10.1093/jnci/djz184. [Epub ahead of print]. PubMed
Smith-Bindman R, Kwan ML, Marlow EC, Theis MK, Bolch W, Cheng SY, Bowles EJA, Duncan JR, Greenlee RT, Kushi LH, Pole JD, Rahm AK, Stout NK, Weinmann S, Miglioretti DL. Trends in use of medical imaging in US health care systems and in Ontario, Canada, 2000-2016. JAMA. 2019;322(9):843-856. doi: 10.1001/jama.2019.11456. PubMed
Henderson LM, Ichikawa L, Buist DSM, Lee JM, Bush M, Johnson D, Onega T, Nekhlyudov L, Kerlikowske K, Miglioretti DL, Sprague BL, Wernli KJ. Patterns of breast imaging use among women with a personal history of breast cancer. J Gen Intern Med. 2019 Aug 13. doi: 10.1007/s11606-019-05181-6. [Epub ahead of print].
Lesser RP, Webber WRS, Miglioretti DL, Pillai JJ, Agarwal S, Mori S, Morrison PF, Castagnola S, Lawal A, Lesser HJ. Cognitive effort decreases beta, alpha, and theta coherence and ends afterdischarges in human brain. Clin Neurophysiol. 2019 Jul 19. pii: S1388-2457(19)31150-2. doi: 10.1016/j.clinph.2019.07.007. [Epub ahead of print]. PubMed
Gould MK, Smith-Bindman R, Kelly K, Altman DE, Barjaktarevic I, Creekmur B, de Bie E, Dyer DS, Mortani Barbosa EJ Jr, Mularski RA, Qi L, Vaszar LT, Yu S, Miglioretti DL. Methods for the Watch the Spot Trial: a pragmatic trial of more vs. less intensive strategies for active surveillance of small pulmonary nodules. Ann Am Thorac Soc. 2019 Jul 17. doi: 10.1513/AnnalsATS.201903-268SD. [Epub ahead of print]. PubMed
Wernli KJ, Brandzel SD, Buist DM, Bush M, DeMartini W, Ichikawa L, Haas C, Henderson LM, Johnson D, Kerlikowske K, McColgin D, Miglioretti DL, Nekhlyudov L, Onega T, Rosenberg DE. Is breast MRI better at finding second breast cancers than mammograms alone for breast cancer survivors? Washington, DC: Patient-Centered Outcomes Research Institute (PCORI). 2019. https://doi.org/10.25302/5.2019.CE.13046656.
Kwan ML, Miglioretti DL, Marlow EC, Aiello Bowles EJ, Weinmann S, Cheng SY, Deosaransingh KA, Chavan P, Moy LM, Bolch WE, Duncan JR, Greenlee RT, Kushi LH, Pole JD, Rahm AK, Stout NK, Smith-Bindman R. Trends in medical imaging during pregnancy in the United States and Ontario, Canada, 1996 to 2016. JAMA Netw Open. 2019;2(7):e197249. doi: 10.1001/jamanetworkopen.2019.7249. PubMed
Kerlikowske K, Miglioretti DL, Vachon CM. Breast density information for primary care providers to facilitate discussions of dense breasts, breast cancer risk and screening choices in 2019. JAMA. 2019 Jul 2;322(1):69-70. doi: 10.1001/jama.2019.6247. PubMed
A Kaiser Permanente-led BCSC study is among the largest ever to evaluate adding MRI surveillance for breast cancer survivors.
Family history sparks interest for KPWHRI senior investigator, UC Davis professor, and co-leader of the BCSC.
Read it in News and Events.
Digital breast tomosynthesis reduced patient recalls with no change in cancer detection, study shows.
New KPWHRI study shows that women with simple cysts are not at increased risk of ovarian cancer.
NIH Research Matters Newsletter, Dec 4, 2018