AI can predict the effectiveness of breast cancer chemotherapy

Date:
February 7, 2023
Source:
University of Waterloo
Summary:
Engineers have developed artificial intelligence (AI) technology to
predict if women with breast cancer would benefit from chemotherapy
prior to surgery.


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FULL STORY ========================================================================== Engineers at the University of Waterloo have developed artificial
intelligence (AI) technology to predict if women with breast cancer
would benefit from chemotherapy prior to surgery.


==========================================================================
The new AI algorithm, part of the open-source Cancer-Net initiative led
by Dr.

Alexander Wong, could help unsuitable candidates avoid the serious side
effects of chemotherapy and pave the way for better surgical outcomes
for those who are suitable.

"Determining the right treatment for a given breast cancer patient is
very difficult right now, and it is crucial to avoid unnecessary side
effects from using treatments that are unlikely to have real benefit
for that patient," said Wong, a professor of systems design engineering.

"An AI system that can help predict if a patient is likely to respond well
to a given treatment gives doctors the tool needed to prescribe the best personalized treatment for a patient to improve recovery and survival."
In a project led by Amy Tai, a graduate student with the Vision and Image Processing (VIP) Lab, the AI software was trained with images of breast
cancer made with a new magnetic image resonance modality, invented by
Wong and his team, called synthetic correlated diffusion imaging (CDI).

With knowledge gleaned from CDI images of old breast cancer cases and information on their outcomes, the AI can predict if pre-operative
chemotherapy treatment would benefit new patients based on their CDI
images.

Known as neoadjuvant chemotherapy, the pre-surgical treatment can shrink tumours to make surgery possible or easier and reduce the need for major surgery such as mastectomies.

"I'm quite optimistic about this technology as deep-learning AI has
the potential to see and discover patterns that relate to whether a
patient will benefit from a given treatment," said Wong, a director of
the VIP Lab and the Canada Research Chair in Artificial Intelligence
and Medical Imaging.

A paper on the project, Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging, was recently presented at Med-NeurIPS as
part of NeurIPS 2022, a major international conference on AI.

The new AI algorithm and the complete dataset of CDI images of breast
cancer have been made publicly available through the Cancer-Net initiative
so other researchers can help advance the field.

* RELATED_TOPICS
o Health_&_Medicine
# Breast_Cancer # Colon_Cancer # Lung_Cancer #
Personalized_Medicine
o Computers_&_Math
# Artificial_Intelligence # Photography # Robotics #
Software
* RELATED_TERMS
o Breast_cancer o Mammography o Breast_implant o
Breast_reconstruction o Computer_vision o Technology o
Cervical_cancer o Esophageal_cancer

========================================================================== Story Source: Materials provided by University_of_Waterloo. Note:
Content may be edited for style and length.


========================================================================== Journal Reference:
1. Chi-en Amy Tai, Nedim Hodzic, Nic Flanagan, Hayden Gunraj, Alexander
Wong. Cancer-Net BCa: Breast Cancer Pathologic Complete Response
Prediction using Volumetric Deep Radiomic Features from Synthetic
Correlated Diffusion Imaging. Submitted to arXiv, 2023 DOI:
10.48550/ arXiv.2211.05308 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2023/02/230207144246.htm

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