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In vivo Raman spectroscopy in the diagnostics of colon cancer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F23%3A43926019" target="_blank" >RIV/60461373:22340/23:43926019 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/23:10465400 RIV/00064165:_____/23:10465400

  • Result on the web

    <a href="https://pubs.rsc.org/en/content/articlelanding/2023/AN/D3AN00103B" target="_blank" >https://pubs.rsc.org/en/content/articlelanding/2023/AN/D3AN00103B</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1039/D3AN00103B" target="_blank" >10.1039/D3AN00103B</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    In vivo Raman spectroscopy in the diagnostics of colon cancer

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    <a href="/en/project/NU20-09-00229" target="_blank" >NU20-09-00229: The development of novel analytical approaches for early diagnosis of adenomatous polyps and prevention of colorectal carcinoma</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Analyst

  • ISSN

    0003-2654

  • e-ISSN

    1364-5528

  • Volume of the periodical

    148

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    2518-2526

  • UT code for WoS article

    000983029500001

  • EID of the result in the Scopus database

    2-s2.0-85158817570