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Raman spectroscopy system for real-time diagnosis of clinically significant prostate cancer tissue.
- Source :
-
Journal of biophotonics [J Biophotonics] 2023 May; Vol. 16 (5), pp. e202200334. Date of Electronic Publication: 2023 Feb 12. - Publication Year :
- 2023
-
Abstract
- Prostate cancer (PCa) is a significant healthcare problem worldwide. Current diagnosis and treatment methods are limited by a lack of precise in vivo tissue analysis methods. Real-time cancer identification and grading could dramatically improve current protocols. Here, we report the testing of a thin optical probe using Raman spectroscopy (RS) and classification methods to detect and grade PCa accurately in real-time. We present the first clinical trial on fresh ex vivo biopsy cores from an 84 patient cohort. Findings from 2395 spectra measured on 599 biopsy cores show high accuracy for diagnosing and grading PCa. We can detect clinically significant PCa from benign and clinically insignificant PCa with 90% sensitivity and 80.2% specificity. We also demonstrate the ability to differentiate cancer grades with 90% sensitivity and specificity ≥82.8%. This work demonstrates the utility of RS for real-time PCa detection and grading during routine transrectal biopsy appointments.<br /> (© 2023 The Authors. Journal of Biophotonics published by Wiley-VCH GmbH.)
Details
- Language :
- English
- ISSN :
- 1864-0648
- Volume :
- 16
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of biophotonics
- Publication Type :
- Academic Journal
- Accession number :
- 36715344
- Full Text :
- https://doi.org/10.1002/jbio.202200334