Raman spectroscopy in lung cancer diagnostics: Can an in vivo setup compete with ex vivo applications?

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F24%3A43929150" target="_blank" >RIV/60461373:22340/24:43929150 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/24:10483213 RIV/00064165:_____/24:10483213

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1386142524009363?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1386142524009363?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.saa.2024.124770" target="_blank" >10.1016/j.saa.2024.124770</a>

Result language

angličtina

Original language name

Raman spectroscopy in lung cancer diagnostics: Can an in vivo setup compete with ex vivo applications?

Original language description

Lung carcinoma remains the leading cause of cancer death worldwide. The tactic to change this unfortunate rate may be a timely and rapid diagnostic, which may in many cases improve patient prognosis.In our study, we focus on the comparison of two novel methods of rapid lung carcinoma diagnostics, label-free in vivo and ex vivo Raman spectroscopy of the epithelial tissue, and assess their feasibility in clinical practice. As these techniques are sensitive not only to the basic molecular composition of the analyzed sample but also to the secondary structure of large biomolecules, such as tissue proteins, they represent suitable candidate methods for epithelial cancer diagnostics.During routine bronchoscopy, we collected 78 in vivo Raman spectra of normal and cancerous lung tissue and 37 samples of endobronchial pathologies, which were subsequently analyzed ex vivo. Using machine learning techniques, namely principal component analysis (PCA) and support vector machines (SVM), we were able to reach 87.2% (95% CI, 79.8–94.6%) and 100.0% (95% CI, 92.1–100.0%) of diagnostic accuracy for in vivo and ex vivo setup, respectively. Although the ex vivo approach provided superior results, the rapidity of in vivo Raman spectroscopy might become unmatchable in the acceleration of the diagnostic process.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30204 - Oncology

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)

Publication year

2024

Confidentiality

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

Name of the periodical

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

ISSN

1386-1425

e-ISSN

1873-3557

Volume of the periodical

322

Issue of the periodical within the volume

5 December 2024

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

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UT code for WoS article

001269156400001

EID of the result in the Scopus database

2-s2.0-85198039898