Assessing within-woman changes in mammographic density: a comparison of fully versus semi-automated area-based approaches

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Busana, M, De Stavola, B, Sovio, U, Li, J, Moss, S, Humphreys, K and dos Santos Silva, I. 2016. Assessing within-woman changes in mammographic density: a comparison of fully versus semi-automated area-based approaches. [Online]. Cancer Causes and Control. Available from: http://datacompass.lshtm.ac.uk/159/ http://dx.doi.org/10.1007/s10552-016-0722-9

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Data that supports a comparative analysis of fully automated (ImageJ-based) method to the observer-dependent Cumulus approach in the assessment of within-woman Mammographic density (MD) changes over time. Aggregated data includes Cumulus and ImageJ-based density readings at ages 42 and 48 years, mammographic density measures over time, Cumulus (left MLO) percent density over time, estimated parameters of the mixed effects models on each of the four mammographic density measures yielded by Cumulus (left MLO) and the ImageJ-based method (left-right MLO mean), and estimated parameters of the mixed effects models including both Cumulus (left MLO) and the ImageJ-based (left MLO only) readings.

Published in a 3rd party system Date: 4 February 2016
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Experiment: Laboratory
Data Creators(s): Busana, M, De Stavola, B, Sovio, U, Li, J, Moss, S, Humphreys, K and dos Santos Silva, I
LSHTM Faculty/Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Participating Institutions: London School of Hygiene & Tropical Medicine, Karolinska Institutet, Queen Mary, University of London
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