Challenge 1: Balancing early detection with the risk of overdiagnosis
As compared to late detection, early detection of prostate cancer has the potential to save lives and allow for less aggressive treatments.
However, many detected cancers are low-risk and may never progress, leading to unnecessary biopsies and overtreatment.
Challenge 2: Optimizing precision for targeted diagnosis and treatment
While multiparametric MRI (mpMRI) can reduce biopsy numbers, poor image quality remains a cause of overdiagnosis. Standard biopsy techniques often:
This leads to:
Challenge 3: Reducing patient discomfort and biopsy burden
Patients are often reluctant to undergo multiple needle biopsies due to:
This is especially problematic with conventional TRUS-guided methods, which require numerous samples.
Challenge 4: Managing provider workload
Conventional workflows are time-intensive, involving:
With rising caseloads, the increased demand for early detection risks overwhelming healthcare providers.
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* For the AI technology described in this website, deep learning technology is used in the design stage. The systems themselves do not have self-learning capabilities.
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© Canon Medical Systems Canada Limited
© Canon Medical Systems Canada Limited