In vivo Raman spectroscopy in the diagnostics of colon cancer

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

In vivo Raman spectroscopy in the diagnostics of colon cancer

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

In vivo Raman spectroscopy in the diagnostics of colon cancer

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/NU20-09-00229" target="_blank" >NU20-09-00229: Vývoj nových analytických přístupů pro včasné odhalení adenomatózních polypů a prevenci kolorektálního karcinomu</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Analyst

ISSN

0003-2654

e-ISSN

1364-5528

Svazek periodika

148

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

2518-2526

Kód UT WoS článku

000983029500001

EID výsledku v databázi Scopus

2-s2.0-85158817570