Issue 11, 2023

In vivo Raman spectroscopy in the diagnostics of colon cancer

Abstract

Early detection and accurate diagnosis of colorectal carcinoma are crucial for successful treatment, yet current methods can be invasive and even inaccurate in some cases. In this work, we present a novel approach for in vivo tissue diagnostics of colorectal carcinoma using Raman spectroscopy. This almost non-invasive technique allows for fast and accurate detection of colorectal carcinoma and its precursors, adenomatous polyps, enabling timely intervention and improved patient outcomes. Using several methods of supervised machine learning, we were able to achieve over 91% accuracy in distinguishing colorectal lesions from healthy epithelial tissue and more than 90% classification accuracy for premalignant adenomatous polyps. Moreover, our models enabled the discrimination of cancerous and precancerous lesions with a mean accuracy of almost 92%. Such results demonstrate the potential of in vivo Raman spectroscopy to become a valuable tool in the fight against colon cancer.

Graphical abstract: In vivo Raman spectroscopy in the diagnostics of colon cancer

Article information

Article type
Paper
Submitted
18 jan 2023
Accepted
30 apr 2023
First published
02 mei 2023
This article is Open Access
Creative Commons BY-NC license

Analyst, 2023,148, 2518-2526

In vivo Raman spectroscopy in the diagnostics of colon cancer

M. Fousková, J. Vališ, A. Synytsya, L. Habartová, J. Petrtýl, L. Petruželka and V. Setnička, Analyst, 2023, 148, 2518 DOI: 10.1039/D3AN00103B

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