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Dr. Larry Goldenberg

Professor

Urologic Sciences

Faculty of Medicine

Vancouver Prostate Centre

Dr. Goldenberg (CM, OBC, MD, FRCSC, FACS, FCAHS) is a urologic surgeon and clinical scientist with an international reputation for excellence in prostate cancer research and treatment. His current research involves the evaluation of the role of multiparametric MRI in prostate cancer, the potential use of focal therapy, patient education, daVinci robotic prostatectomy and novel treatments for benign prostatic hyperplasia. He has been recognized for his contributions to health care by being inducted into the Order of British Columbia and the Order of Canada.

Example Project

 “Multi-Centre Temporal Ultrasound Image Analysis for Prostate Cancer Diagnosis” Prostate cancer (PCa) is the most common cancer diagnosed in Canadian men. The gold standard for PCa diagnosis and prognosis is ultrasound (US)-guided needle biopsy with pathologic grading. The best biopsy technique today is to localize PCa with magnetic resonance imaging (MRI), and use its fusion with US to improve the detection rate of aggressive PCa. However, this method alone is not able to accurately differentiate indolent PCa and cannot reliably detect small lesions of aggressive PCa. In this project, we propose a turnkey technology, where subtle variations of backscattered US signals from a tissue location over a short time span, i.e., temporal enhanced US, are used to detect physical properties of the underlying tissue using a machine-learning framework. Our objective is to establish the efficacy of this technology in identifying clinically significant PCa in real-time US, so that accurate biopsy targeting is achieved. In a series of clinical studies, we will develop and deploy this technology across multiple institutions. This technology is expected to positively and rapidly benefit the lives of all patients suffering from PCa.

Research Keywords

Magnetic Resonance Imaging, Prostate Cancer, Multi-parametric Ultrasound, Tissue Classification, Digital Pathology and Machine Learning, PET-Based Diagnostics/Theranostics