Special Focus Session

SF 16 - Risk-adjusted screening for breast cancer

Lectures

1
SF 16 - Methods to assess breast cancer risk

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.

2
SF 16 - Short-term, image-based breast cancer risk prediction model

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.

3
SF 16 - Risk-based breast cancer screening programme: an example for the USA

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.

4
SF 16 - Screening with MRI in women with dense breasts

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.

SF 16-1
Methods to assess breast cancer risk
Mireille 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 16-2
Short-term, image-based breast cancer risk prediction model
Per 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 16-3
Risk-based breast cancer screening programme: an example for the USA
Karla Kerlikowske, San Francisco / 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 16-4
Screening with MRI in women with dense breasts
Carla 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.

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