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Invasive breast cancer and breast cancer death after non-screen detected ductal carcinoma in situ from 1990 to 2018 in England: population based cohort study

Objectives To evaluate the long term risks of invasive breast cancer and death related to breast cancer after non-screen detected ductal carcinoma in situ. Risks for women in the general population and for women diagnosed with ductal carcinoma in situ via the screening programme were compared.

Design Population based cohort study.

Setting Data from the National Disease Registration Service.

Participants All 27 543 women in England who were diagnosed with ductal carcinoma in situ, outside the NHS breast screening programme, during 1990 to 2018.

Main outcome measures Incident invasive breast cancer and death caused by breast cancer.

Results By 31 December 2018, 3651 women with non-screen detected ductal carcinoma in situ had developed invasive breast cancer, more than four times higher than expected from national cancer incidence rates (ratio of observed to expected rate was 4.21 (95% conference interval 4.07 to 4.35)). The ratio of observed to expect ....

United Kingdom , United States , David Dodwell , Hilary Stobart , Gurdeeps Mannu , Sarahc Darby , John Broggio , Mairead Mackenzie , University Of Oxford , Cancer Research United Kingdom , Digital Data Access Request Service , Cancer Research United Kingdom Clinician Scientist Fellowship , National Health Service , Research Ethics Committee , National Disease Registration Service , Public Health England , National Institute Of Clinical Excellence , Nuffield Department Of Population Health , National Disease Registration , Conclusions For , Regional Cancer Registries , Nuffield Department , Population Health , Humber Leeds East , College Station , Independent Cancer Patient Voice ,

Artificial Intelligence Identifies Infants at Risk of Blinding Disease

Researchers have developed a deep learning AI tool that can automate the diagnostics of retinopathy of prematurity (ROP), a leading cause of childhood blindness. The tool was found to be as effective as senior pediatric ophthalmologists in discriminating normal retinal images from those with ROP that could lead to blindness, and the researchers hope it will improve access to care in underserved areas and prevent blindness in thousands of newborns worldwide. ....

United Kingdom , City Of , United States , Siegfriedk Wagner , Konstantinos Balaskas , Institute Of Ophthalmology , University College London Institute Of Ophthalmology , Biomedical Research Centre At Moorfields Eye Hospital , Homerton University Hospital , Lancet Digital Health , Forus Health , Care Research , National Institute For Health , Moorfields Ophthalmic Reading Centre Clinical Ai Lab , National Institute , Biomedical Research Centre , Moorfields Eye Hospital , Lancet Digital , Moorfields Ophthalmic Reading Centre , Associate Professor , Saharan Africa , Homerton Hospital , Siegfried Wagner , Press Office , Retcam Version , Natus Medical ,