Raman spectroscopy system for real-time diagnosis of clinically significant prostate cancer tissue.

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dc.contributor.author van Breugel, Suse J
dc.contributor.author Low, Irene
dc.contributor.author Christie, Mary L
dc.contributor.author Pokorny, Morgan R
dc.contributor.author Nagarajan, Ramya
dc.contributor.author Holtkamp, Hannah U
dc.contributor.author Srinivasa, Komal
dc.contributor.author Amirapu, Satya
dc.contributor.author Nieuwoudt, Michel K
dc.contributor.author Simpson, M Cather
dc.contributor.author Zargar-Shoshtari, Kamran
dc.contributor.author Aguergaray, Claude
dc.coverage.spatial Germany
dc.date.accessioned 2023-03-06T03:14:09Z
dc.date.available 2023-03-06T03:14:09Z
dc.date.issued 2023-01
dc.identifier.citation (2023). Journal of Biophotonics, e202200334-.
dc.identifier.issn 1864-063X
dc.identifier.uri https://hdl.handle.net/2292/63131
dc.description.abstract Prostate cancer 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 and classification methods to detect and grade prostate cancer 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 prostate cancer. We can detect clinically significant prostate cancer from benign and clinically insignificant prostate cancer 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 Raman spectroscopy for real-time prostate cancer detection and grading during routine transrectal biopsy appointments. This article is protected by copyright. All rights reserved.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Wiley
dc.relation.ispartofseries Journal of biophotonics
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Raman spectroscopy
dc.subject biopsy cores
dc.subject machine learning
dc.subject prostate cancer
dc.subject support vector machining
dc.subject tissue optics
dc.subject Bioengineering
dc.subject Cancer
dc.subject Prevention
dc.subject Aging
dc.subject Urologic Diseases
dc.subject Clinical Research
dc.subject 4 Detection, screening and diagnosis
dc.subject 4.1 Discovery and preclinical testing of markers and technologies
dc.subject 4.2 Evaluation of markers and technologies
dc.subject 0205 Optical Physics
dc.subject 0304 Medicinal and Biomolecular Chemistry
dc.subject 1004 Medical Biotechnology
dc.title Raman spectroscopy system for real-time diagnosis of clinically significant prostate cancer tissue.
dc.type Journal Article
dc.identifier.doi 10.1002/jbio.202200334
pubs.begin-page e202200334
dc.date.updated 2023-02-16T00:57:03Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 36715344 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/36715344
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Journal Article
pubs.elements-id 949037
pubs.org-id Science
pubs.org-id Chemistry
pubs.org-id Physics
dc.identifier.eissn 1864-0648
pubs.record-created-at-source-date 2023-02-16
pubs.online-publication-date 2023-01-30


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