Presented by the Canadian Society of Breast Imaging, CSBI, in partnership with The University of Ottawa's Department of Radiology, Radiation Oncology and Medical Physics.
Course Overview
Course Date
Saturday, May 28, 2022
Course Description
Breast cancer is a complex disease characterized by many morphological, clinical, and molecular features. The 2022 CSBI Annual Scientific Meeting will focus on the evolution of breast cancer classification and how it has changed the management of breast cancer ushering in the era of personalized medicine. Our guest speakers will present a myriad of multidisciplinary topics that will educate the audience about the progress made in the diagnosis and management of breast cancer using molecular information along with advanced imaging techniques. Multidisciplinary presentations will cover updates in diagnosis, surgical and medical oncology including use of artificial intelligence and radiomics in prognostication in detection, and management of breast cancer.
This year we will have dedicated tracks for trainees and technologists which target their needs - especially sessions addressing positioning, image quality, second look ultrasound, and initiating research in breast imaging. We are also excited to have a special segment from our Patient Engagement Working Group to help us understand the patient journey and advocacy. Hear personal stories and experiences from our patient volunteers to experience breast imaging from the other side and how we can bring about change.
Overall Course Objectives
At the end of this course, participants will be able to:
- Discuss the controversies around the CNBSS and review the misinformation around benefits of screening
- Review traditional histopathological classification of breast cancer and evolution into molecular subtyping
- Describe current updates in surgical and medical management of breast cancer
- Experience the cancer journey from a patient perspective.
- Learn to navigate day to day breast imaging challenges with second look ultrasound, breast cancer surveillance, radiological-pathological correlation and augmented breasts
- Identify role of Artificial Intelligence in breast imaging
Target Audience
The intended audience includes radiologists, trainees, technologists, family physicians and surgeons.
Course Chair
Dr. Supriya Kulkarni, DMRD, DNB, FRCP(C), DABR
University of Toronto, Toronto, ON
Dr. Supriya Kulkarni is the divisional head & associate professor, department of medical imaging at the University of Toronto.
Her clinical engagement is at University Health Network, Mount Sinai Hospital and the Women's College Hospital, University of Toronto, Canada for over 20 years in the subspecialty practice in Breast Imaging.
Dr. Kulkarni’s special focus is in teaching and education internationally and is a recipient of several teaching awards for contributing to cancer education.
She currently manages continuing professional development initiatives and faculty development for the breast division of the University of Toronto and national and international educational initiatives for Canadian Society of Breast imaging where she serves as a board member.
She serves in an advisory capacity pertaining to policy and quality for Ontario Health (OH) on provincial average and high risk screening programs and for the Canadian Association of Radiologists breast imaging guideline working group.
Dr. Kulkarni has worked to enhance diversity and opportunity to access breast screening for individuals from historically under-represented backgrounds, chairing the committee that developed the transgender screening policy with OH. She also provides mentorship and guidance to international trainees from varied backgrounds.
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