Special Focus Session
SF 16 - Risk-adjusted screening for breast cancer
Lectures
SF 16 - Methods to assess breast cancer risk
15:34M. Broeders, Nijmegen / Netherlands
Learning Objectives
1. To become familiar with the current risk prediction models for breast cancer and their potential use in screening.
2. To understand the most important measures used to determine how well a risk model performs.
3. To learn about the ongoing research to further improve models to assess breast cancer risk.
SF 16 - Short-term, image-based breast cancer risk prediction model
14:18Per Hall, Stockholm / Sweden
Learning Objectives
1. To argue why different risk models should be used for individualised prevention and early detection of breast cancer.
2. To understand why early detection risk models must include mammographic features and should not have a longer time span than the screening interval.
3. To show why risk assessment should be repeated and performed each time a woman has a screening mammography.
SF 16 - Risk-based breast cancer screening programme: an example for the USA
16:46K. Kerlikowske, San Francisco, CA / United States
Learning Objectives
1. To appreciate the differences in risk prediction for overall breast cancer risk vs intermediary breast cancer outcomes.
2. To understand how risk stratification impacts the balance of benefits and harms of screening.
3. To become familiar with risk-based screening approaches in the US.
SF 16 - Screening with MRI in women with dense breasts
14:29C. van Gils, Utrecht / Netherlands
Learning Objectives
1. To appreciate the importance of breast cancer masking in addition to breast cancer risk.
2. To become familiar with the approaches of using breast density to personalise breast cancer screening with MRI.
3. To learn about the performance of MRI in women with dense breasts and increased breast cancer risk.
2. To understand the most important measures used to determine how well a risk model performs.
3. To learn about the ongoing research to further improve models to assess breast cancer risk.
2. To understand why early detection risk models must include mammographic features and should not have a longer time span than the screening interval.
3. To show why risk assessment should be repeated and performed each time a woman has a screening mammography.
2. To understand how risk stratification impacts the balance of benefits and harms of screening.
3. To become familiar with risk-based screening approaches in the US.
2. To become familiar with the approaches of using breast density to personalise breast cancer screening with MRI.
3. To learn about the performance of MRI in women with dense breasts and increased breast cancer risk.