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In vivo assessment of bladder cancer with diffuse reflectance and fluorescence spectroscopy: A comparative study.
Zlobina, Nadezhda V; Budylin, Gleb S; Tseregorodtseva, Polina S; Andreeva, Viktoria A; Sorokin, Nikolay I; Kamalov, David M; Strigunov, Andrey A; Armaganov, Artashes G; Kamalov, Armais A; Shirshin, Evgeny A.
Afiliación
  • Zlobina NV; Department of Quantum Electronics, Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia.
  • Budylin GS; Department of Urology, Medical Research and Education Center, Lomonosov Moscow State University, Moscow, Russia.
  • Tseregorodtseva PS; Department of Fundamental Pathology, National Medical Research Center for Endocrinology, Moscow, Russia.
  • Andreeva VA; Biomedical Science and Technology Park, Laboratory of Clinical Biophotonics, First Moscow State Medical University, Moscow, Russia.
  • Sorokin NI; Department of Quantum Electronics, Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia.
  • Kamalov DM; Department of Fundamental Pathology, National Medical Research Center for Endocrinology, Moscow, Russia.
  • Strigunov AA; NTO "IRE-POLUS", Moscow, Russia.
  • Armaganov AG; Department of Urology, Medical Research and Education Center, Lomonosov Moscow State University, Moscow, Russia.
  • Kamalov AA; Department of Urology, Medical Research and Education Center, Lomonosov Moscow State University, Moscow, Russia.
  • Shirshin EA; Department of Urology, Medical Research and Education Center, Lomonosov Moscow State University, Moscow, Russia.
Lasers Surg Med ; 56(5): 496-507, 2024 07.
Article en En | MEDLINE | ID: mdl-38650443
ABSTRACT

OBJECTIVES:

The aim of this work is to assess the performance of multimodal spectroscopic approach combined with single core optical fiber for detection of bladder cancer during surgery in vivo.

METHODS:

Multimodal approach combines diffuse reflectance spectroscopy (DRS), fluorescence spectroscopy in the visible (405 nm excitation) and near-infrared (NIR) (690 nm excitation) ranges, and high-wavenumber Raman spectroscopy. All four spectroscopic methods were combined in a single setup. For 21 patients with suspected bladder cancer or during control cystoscopy optical spectra of bladder cancer, healthy bladder wall tissue and/or scars were measured. Classification of cancerous and healthy bladder tissue was performed using machine learning methods.

RESULTS:

Statistically significant differences in relative total haemoglobin content, oxygenation, scattering, and visible fluorescence intensity were found between tumor and normal tissues. The combination of DRS and visible fluorescence spectroscopy allowed detecting cancerous tissue with sensitivity and specificity of 78% and 91%, respectively. The addition of features extracted from NIR fluorescence and Raman spectra did not improve the quality of classification.

CONCLUSIONS:

This study demonstrates that multimodal spectroscopic approach allows increasing sensitivity and specificity of bladder cancer detection in vivo. The developed approach does not require special probes and can be used with single-core optical fibers applied for laser surgery.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Espectrometría Raman / Neoplasias de la Vejiga Urinaria Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Lasers Surg Med Año: 2024 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Espectrometría Raman / Neoplasias de la Vejiga Urinaria Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Lasers Surg Med Año: 2024 Tipo del documento: Article País de afiliación: Rusia