Publicaciones
Publicaciones
MyPeBS Publications

Publications from the MyPeBS team

Nos enorgullece compartir estos artículos recientes publicados por los equipos que participan en el consorcio MyPeBS, en el ámbito de la evaluación y prevención del riesgo de cáncer de mama.
The influence of health systems on breast, cervical and colorectal cancer screening: an overview of systematic reviews using health systems and implementation research frameworks.
Priaulx J, et al. J Health Serv Res Policy. 2019 Jul 8:1355819619842314. doi: 10.1177/1355819619842314. [Epub ahead of print] No abstract available.
MRI versus mammography for breast cancer screening in women with familial risk (FaMRIsc): a multicentre, randomised, controlled trial.
Saadatmand S, et al. FaMRIsc study group. Lancet Oncol. 2019 Aug;20(8):1136-1147. doi: 10.1016/S1470-2045(19)30275-X. Epub 2019 Jun 17.
The WISDOM Personalized Breast Cancer Screening Trial: Simulation Study to Assess Potential Bias and Analytic Approaches.
Eklund M, et al. JNCI Cancer Spectr. 2019 Jan 8;2(4):pky067.
Attitudes towards risk-stratified breast cancer screening among women in England: A cross-sectional survey.
Ghanouni A, et al. J Med Screen. 2019 Nov 8. doi: 10.1177/0969141319883662.
Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants.
Evans DGR, et al. Breast Cancer Res Treat. 2019 Apr 2. doi: 10.1007/s10549-019-05210-2. [Epub ahead of print]
Women’s perceptions of personalized risk-based breast cancer screening and prevention: An international focus group study.
Rainey L, Jervaeus A, Donnelly LS, Evans DG, Hammarström M, Hall P, Wengström Y, Broeders MJM, van der Waal D.Psychooncology. 2019 Mar 7. doi: 10.1002/pon.5051. [Epub ahead of print]
Modifiable risk factors for advanced versus early breast cancer in the French E3N cohort.
Veron L, et al. Int J Cancer. 2019 Apr 19. doi: 10.1002/ijc.32354.
A response to « Personalised medicine and population health: breast and ovarian cancer ».
Antoniou A, et al. Hum Genet. 2019 Mar;138(3):287-289. doi: 10.1007/s00439-019-01984-z. Epub 2019 Feb 27.
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
Mavaddat N, et al. Am J Hum Genet. 2019 Jan 3;104(1):21-34. doi: 10.1016/j.ajhg.2018.11.002. Epub 2018 Dec 13.
Genome-wide association study of germline variants and breast cancer-specific mortality.
Escala-Garcia M, et al. Br J Cancer. 2019 Mar;120(6):647-657. doi: 10.1038/s41416-019-0393-x. Epub 2019 Feb 21.
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.
Lee A, at al.Genet Med. 2019 Jan 15. doi: 10.1038/s41436-018-0406-9.
Prediction of reader estimates of mammographic density using convolutional neural networks.
Ionescu GV, et al. J Med Imaging (Bellingham). 2019 Jul;6(3):031405. doi: 10.1117/1.JMI.6.3.031405. Epub 2019 Jan 31.
A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations.
Balleyguier C et al. Eur Radiol. 2019 Feb 15. doi: 10.1007/s00330-019-06016-y.
Annual mammography at age 45-49 years and biennial mammography at age 50-69 years: comparing performance measures in an organised screening setting.
Bucchi L, et al. Emilia-Romagna Region Workgroup for Mammography Screening Evaluation.Eur Radiol. 2019 Mar 18. doi: 10.1007/s00330-019-06050-w.
Comparing two visualization protocols for tomosynthesis in screening: specificity and sensitivity of slabs versus planes plus slabs.
Iotti V, et al. RETomo Working Group.Eur Radiol. 2019 Feb 8. do16.