Nevin Manimala Statistics

Raman spectroscopy and supervised learning as a potential tool to identify HDR-brachytherapy-induced biochemical profiles of prostate cancer

J Biophotonics. 2022 Jul 31:e202200121. doi: 10.1002/jbio.202200121. Online ahead of print.


High-dose-rate-brachytherapy (HDR-BT) is an increasingly attractive alternative to external beam radiation-therapy for patients with intermediate risk prostate cancer. Despite this, no bio-marker based method currently exists to monitor treatment response, and the changes which take place at the biochemical level in hypo-fractionated HDR-BT remain poorly understood. The aim of this pilot study is to assess the capability of Raman spectroscopy (RS) combined with principal component analysis (PCA) and random-forest classification (RF) to identify radiation response profiles after a single dose of 13.5 Gy in a cohort of 9 patients. We here demonstrate, as a proof-of-concept, how RS-PCA-RF could be utilised as an effective tool in radiation response monitoring, specifically assessing the importance of low variance PCs in complex sample sets. As RS provides information on the biochemical composition of tissue samples, this technique could provide insight into the changes which take place on the biochemical level, as result of HDR-BT treatment. This article is protected by copyright. All rights reserved.

PMID:35908273 | DOI:10.1002/jbio.202200121

By Nevin Manimala

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