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Breast Density and Pattern: Imaging Biomarkers for Breast Cancer
Mammography is widely used for screening the asymptomatic population for early signs of cancer, and the advent of digital imaging has opened the door to the development of automated techniques, both for detecting cancer and identifying women at increased risk. We are focussing on two measures: mammographic density, which describes the quantity of radiodense and fatty tissues in a woman’s breasts; and mammographic texture, which describes the organisation and distribution of the tissues. Both are related to risk of developing cancer, and early results indicate that both will also be related to the efficacy of mammography as a screening tool.
Lay summary: We can use our knowledge of the mammography imaging process and mathematics to measure the amount and pattern of dense tissue in the breast. We are developing methods that can predict the development of cancer, tell us accurately whether treatment to reduce risk is working, and give us an indication of the most appropriate methods of imaging an individual woman’s breasts.
Breast Density and Pattern: Imaging Biomarkers for Breast Cancer
Mammography is widely used for screening the asymptomatic population for early signs of cancer, and the advent of digital imaging has opened the door to the development of automated techniques, both for detecting cancer and identifying women at increased risk. We are focussing on two measures: mammographic density, which describes the quantity of radiodense and fatty tissues in a woman’s breasts; and mammographic texture, which describes the organisation and distribution of the tissues. Both are related to risk of developing cancer, and early results indicate that both will also be related to the efficacy of mammography as a screening tool.
Lay summary: We can use our knowledge of the mammography imaging process and mathematics to measure the amount and pattern of dense tissue in the breast. We are developing methods that can predict the development of cancer, tell us accurately whether treatment to reduce risk is working, and give us an indication of the most appropriate methods of imaging an individual woman’s breasts.
Research Interests
Papers共 170 篇Author StatisticsCo-AuthorSimilar Experts
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Reham Altokhais, Riham Eiada, Nuha Khoumayies, Leena Zeitouni, Deema Abunayyan,Abdulrahman Alfuraih, Bandar Alghamdi, Reem Alghamdi,Elaine F. Harkness,Susan Astley
Medical Imaging 2024: Image Perception, Observer Performance, and Technology Assessment (2024)
Medical Imaging 2024: Computer-Aided Diagnosis (2024)
Genetics in Medicine Open (2024): 100849
17th International Workshop on Breast Imaging (IWBI 2024) (2024)
British Journal of Cancerno. 11 (2023): 2140-2140
arXiv (Cornell University)no. 3 (2023): 035030-035030
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