Understanding breast cancer risk via an automated measure based on mammographic textural features: Cirrus
Prof John Hopper
Dr Shuai Li
Dr Gillian Dite
Dr Tuong Linh Nguyen
School / Faculty:
Melbourne School of Population and Global Health
Faculty of Medicine, Dental and Health Sciences
Mammographic density is an established risk factor for breast cancer. An automated measure (named Cirrus), based on textural features extracted from mammograms, shows stronger and stable risk associations with breast cancer, including interval, screen-detected, and younger-age-at-diagnosis breast cancer. Therefore, Cirrus is likely to be an intrinsic risk factor for breast cancer. My PhD project aims to understand the breast cancer risk by looking at the causal relationships between Cirrus and mammographic density defined by different brightness thresholds, as well as the non-dense areas, and other causal factors and genetic determinants of Cirrus.
Q & A
Why did you decide to do a PhD?
Doing a PhD is an essential step in increasing my expertise in the area that I’m interested in. I want to be a passion-driven and less stupid person in this area.
What do you enjoy reading?
I don’t do much reading. But I like watching documentaries about history and feminism.
What do you enjoy doing when you're not working on your PhD?
I’m interested in French Culture. So when I’m free, I like learning French and watching some documentaries. I also like catching up with friends, jogging in a park, and hiking!
Name one fun fact about you.
I love cute animals, especially cats! If you have a cat, there would 90% of chance that we can be good friends 😉
Work and Publications
Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort
Early life affects late-life health through determining DNA methylation across the lifespan: A twin study
Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk
Familial Aspects of Mammographic Density Measures Associated with Breast Cancer Risk
Chapter 4 - DNA methylation and breast cancer risk: value of twin and family studies