Postdoctoral fellow in Pathology-Oncology
CHUM Research Centre, Université de Montréal
Published in: PLOS Medicine
Prostate cancer is the most commonly diagnosed cancer among Canadian men. Intraductal carcinoma of the prostate (IDCP) is a particularly aggressive form of the disease that affects approximately one in five prostate cancer patients. The study led by Andrée-Anne Grosset aimed to develop a more accurate technique to diagnose IDCP using Raman micro-spectroscopy—a method chosen for its ease of implementation in hospitals. The technology is also much quicker and less expensive than the techniques currently used in hospitals. Raman micro-spectroscopy provides some 1 000 data per laser beam, and the beam is projected on the sample an average of seven times. The over three million data are then analyzed using artificial intelligence. Following an upcoming study on a larger cohort of patients in different hospitals, the method could become an essential tool for pathologists. Raman micro-spectrometry and artificial intelligence make it possible to obtain more accurate IDCP diagnoses and ensure that patients receive the right treatment sooner.