A group of researchers from the CHUM Research Centre and the Polytechnique Montreal has recently developed a new method to enhance the detection of aggressive forms of prostate cancer.
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The team analyzed samples from 483 prostate cancer patients with a Renishaw inVia™ Raman microscope. The team applied a combination of Raman microspectroscopy with machine learning techniques to obtain results. They were able to collect Raman spectra of the samples and then trained algorithms to automatically identify and classify particular signatures of healthy tissue, intraductal carcinoma of the prostate, and other forms of prostate cancer.
“It's going to be easier to actually deal with the disease before it spreads and before it's generalised.” explained Dominique Trudel, one of the researchers on the project.
The team’s new technique is being heralded as a complete turning point in the treatment of prostate cancer, it is considerably faster and less expensive than existing methods and has so far offered accurate diagnoses in almost nine out of ten cases. Additional testing is necessary to validate the technique before it can be rolled out for widespread use in a hospital setting.
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For the full news story: https://www.chumontreal.qc.ca/en/crchum/nouvelles/better-way-detect-prostate-cancer
CTV News coverage: https://montreal.ctvnews.ca/montreal-scientists-make-breakthrough-in-prostate-cancer-research-1.5069963
For an in-depth analysis of the work please refer to the research paper using the following link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428053/
About Renishaw
Renishaw is a global company and a recognised leader in Raman spectroscopy. Offering high performance optical spectroscopy products for over 20 years, Renishaw’s Spectroscopy Division is passionate about manufacturing the very best Raman products. It has a team of scientists and engineers specialising in the development, application and production of high performance, configurable Raman spectrometers.
With a foundation built on sound engineering, these systems offer the highest levels of flexibility and performance and are used by academics and industrialists to tackle analytical problems across a broad range of application areas, including life science, chemicals; materials science; pharmaceuticals; semiconductors; forensics; gemmology; antiquities; and green energy, such as photovoltaics.
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