Bladder tissue characterization using probe-based Raman spectroscopy: Evaluation of tissue heterogeneity and influence on the model prediction.


Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
02 2020
Historique:
received: 01 07 2019
revised: 07 10 2019
accepted: 07 10 2019
pubmed: 17 10 2019
medline: 24 6 2021
entrez: 17 10 2019
Statut: ppublish

Résumé

Existing approaches for early-stage bladder tumor diagnosis largely depend on invasive and time-consuming procedures, resulting in hospitalization, bleeding, bladder perforation, infection and other health risks for the patient. The reduction of current risk factors, while maintaining or even improving the diagnostic precision, is an underlying factor in clinical instrumentation research. For example, for clinic surveillance of patients with a history of noninvasive bladder tumors real-time tumor diagnosis can enable immediate laser-based removal of tumors using flexible cystoscopes in the outpatient clinic. Therefore, novel diagnostic modalities are required that can provide real-time in vivo tumor diagnosis. Raman spectroscopy provides biochemical information of tissue samples ex vivo and in vivo and without the need for complicated sample preparation and staining procedures. For the past decade there has been a rise in applications to diagnose and characterize early cancer in different organs, such as in head and neck, colon and stomach, but also different pathologies, for example, inflammation and atherosclerotic plaques. Bladder pathology has also been studied but only with little attention to aspects that can influence the diagnosis, such as tissue heterogeneity, data preprocessing and model development. The present study presents a clinical investigative study on bladder biopsies to characterize the tumor grading ex vivo, using a compact fiber probe-based imaging Raman system, as a crucial step towards in vivo Raman endoscopy. Furthermore, this study presents an evaluation of the tissue heterogeneity of highly fluorescent bladder tissues, and the multivariate statistical analysis for discrimination between nontumor tissue, and low- and high-grade tumor.

Identifiants

pubmed: 31617683
doi: 10.1002/jbio.201960025
pmc: PMC7065650
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201960025

Informations de copyright

© 2019 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Eliana Cordero (E)

Department of Spectroscopy and Imaging, Leibniz Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.

Jan Rüger (J)

Department of Spectroscopy and Imaging, Leibniz Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.

Dominik Marti (D)

Department of Health Technology, Technical University of Denmark (DTU), Roskilde, Denmark.

Abdullah S Mondol (AS)

Department of Spectroscopy and Imaging, Leibniz Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.

Thomas Hasselager (T)

Department of Urology, Herlev Hospital, Herlev, Denmark.

Karin Mogensen (K)

Department of Urology, Herlev Hospital, Herlev, Denmark.

Gregers G Hermann (GG)

Department of Urology, Herlev Hospital, Herlev, Denmark.

Jürgen Popp (J)

Department of Spectroscopy and Imaging, Leibniz Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
Institute of Physical Chemistry, Friedrich Schiller University Jena, Jena, Germany.

Iwan W Schie (IW)

Department of Spectroscopy and Imaging, Leibniz Institute of Photonic Technology (Leibniz-IPHT), Jena, Germany.
Department of Medical Engineering and Biotechnology, University of Applied Sciences, Jena, Jena, Germany.

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