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A new method using Raman spectroscopy for in vivo targeted brain cancer tissue biopsy

Joannie DesrochesCentre de Recherche du Centre Hospitalier de l'Université de Montréal, 900 rue, Saint-Denis, H2X 0A9, QC, CanadaMichael JermynThayer School of Engineering, Dartmouth College, 14 Engineering Dr, Hanover, NH, 03755, USAMichael PintoDept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, CanadaFabien PicotDept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, CanadaMarie-Andrée TremblayDept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, CanadaSami ObaïdUniversité de MontréalEric MarpleKirk UrmeyDominique TrudelDepartment of Pathology, Centre Hospitalier Universitaire de Montréal, 1058 Rue Saint-Denis, Montreal, Québec, H2X 3J4, CanadaGilles SoulezCentre hospitalier de L'Université de Montréal, Hôpital Notre-Dame-Pavillon Lachapelle, Montréal, QC, H2L 4M1, CanadaMarie‐Christine GuiotMcGill UniversityBrian C. WilsonUniversity of TorontoKevin PetreccaBrain Tumour Research Centre, Montreal Neurological Institute and Hospital, Dept. of Neurology and Neurosurgery, McGill University, 3801 University St., Montreal, QC, H3A 2B4, Canada. [email protected]Frédéric LeblondDept. of Engineering Physics, Polytechnique Montreal, CP 6079, Succ. Centre-Ville, Montreal, QC, H3C 3A7, Canada. [email protected]
2018en
ABI

Annotatsiya

Modern cancer diagnosis requires histological, molecular, and genomic tumor analyses. Tumor sampling is often achieved using a targeted needle biopsy approach. Targeting errors and cancer heterogeneity causing inaccurate sampling are important limitations of this blind technique leading to non-diagnostic or poor quality samples, and the need for repeated biopsies pose elevated patient risk. An optical technology that can analyze the molecular nature of the tissue prior to harvesting could improve cancer targeting and mitigate patient risk. Here we report on the design, development, and validation of an in situ intraoperative, label-free, cancer detection system based on high wavenumber Raman spectroscopy. This optical detection device was engineered into a commercially available biopsy system allowing tumor analysis prior to tissue harvesting without disrupting workflow. Using a dual validation approach we show that high wavenumber Raman spectroscopy can detect human dense cancer with >60% cancer cells in situ during surgery with a sensitivity and specificity of 80% and 90%, respectively. We also demonstrate for the first time the use of this system in a swine brain biopsy model. These studies set the stage for the clinical translation of this optical molecular imaging method for high yield and safe targeted biopsy.

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