Date: 11 April 2023
Time: 09:00 – 17:00 CET
Place: Online – Via Zoom
Objectives: This course will be centred on explaining the different techniques used in clinical practice to diagnose breast cancer. It will highlight the screening programme and all the steps from acquiring the first image until we reach the final diagnosis of the lesion. The training will cover all imaging (mammography, ultrasound and MRI) and interventional techniques to obtain histological samples or treat the tumour.
The final part will address the future of breast cancer diagnosis in relation to artificial intelligence-assisted techniques and personalised medicine.
Organisers: Hospital Universitari Vall d’Hebron, Barcelona.
Target audience – Prerequisites: Some knowledge of medical imaging.
Language: English
Number of participants: maximum 50
Cost: There is no registration fee. The course is free of charge.
Instructors:
Ana Maria Rodriguez. Hospital Universitari Vall d’Hebron.
Ignacio Miranda. Hospital Universitari Vall d’Hebron.
Anton Aubanell. Hospital Universitari Vall d’Hebron.
Ema Moraru. Hospital Universitari Vall d’Hebron.
Marta Vera. Hospital Universitari Vall d’Hebron.
Neus Rus. Hospital Universitari Vall d’Hebron.
Stefania Orlando. Hospital Universitari Vall d’Hebron.
Daniel Eiroa. Hospital Universitari Vall d’Hebron.
Agenda:
Time | Title | Presenter |
---|---|---|
9.00-9.30 | Welcome and introduction to the training | Anton Aubanell |
9.30-10.00 | Introduction to breast cancer. What we need to know? | Ignacio Miranda |
10.00-10.30 | The screening program in breast cancer | Ana Rodríguez |
10.30-11.00 | Break | |
11.00-11.30 | Diagnostic tecniques. Introduction | Anton Aubanell |
11.30-12.00 | The BIRADS system | Anton Aubanell |
12.00-12.30 | Mamography with and without contrast | Stefania Orlando |
12.30-13.00 | Breast Ultrasound | Anton Aubanell |
13.00-13.30 | Breast MRI | Marta Vera |
13.30-15.00 | Lunch Break | |
15.00-15.30 | Multidisciplinary view of the Breast Radiologist | Ignacio Miranda |
15.30-16.00 | Interventional Radiology in Breast Imaging | Ema Moraru |
16.00-16.45 | Artificial intelligence and breast imaging | Daniel Eiroa |
16.45-17.00 | Closure |