作者
Andrée‐Anne Grosset,F. Dallaire,Tien Thanh Nguyen,Mirela Birlea,Jahg Wong,François Daoust,Noémi Roy,André Kougioumoutzakis,Féryel Azzi,Kelly Aubertin,Samuel Kadoury,Mathieu Latour,Roula Albadine,Susan Prendeville,Paul C. Boutros,Michael Fraser,Robert G. Bristow,Theodorus H. van der Kwast,Michèle Orain,Hervé Brisson,Nazim Benzerdjeb,Hélène Hovington,Alain Bergeron,Yves Fradet,Bernard Têtu,Fred Saad,Frédéric Leblond,Dominique Trudel
摘要
Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate (IDC-P), an aggressive histopathological variant for which therapeutic options are now available. Our aim was to identify IDC-P with Raman micro-spectroscopy (RμS) and machine learning technology following a protocol suitable for routine clinical histopathology laboratories.