Label-free grading and staging of urothelial carcinoma through multimodal fibre-probe spectroscopy

Year: 2019

Authors: Baria E., Morselli S., Anand S., Fantechi R., Nesi G., Gacci M., Carini M., Serni S., Cicchi R., Pavone FS.

Autors Affiliation: National Institute of Optics, National Research Council, Sesto Fiorentino, Italy; Division of Urology, Department of Clinical and Experimental Medicine, University of Florence, Florence, Italy; Division of Pathology, Department of Surgery and Translational Medicine, University of Florence, Florence, Italy; European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto Fiorentino, Italy; Department of Physics, University of Florence, Sesto Fiorentino, Italy

Abstract: Urothelial carcinoma (UC) is the most common bladder tumour. Proper treatment requires tumour resection for diagnosing its grade (aggressiveness) and stage (invasiveness). White-light cystoscopy and histopathological examination are the gold standard procedures for clinical and histopathological diagnostics, respectively. However, cystoscopy is limited in terms of specificity, histology requires long tissue processing, both procedures rely on operator’s experience. Multimodal optical spectroscopy can provide a powerful tool for detecting, staging and grading bladder tumours in a fast, reliable and label free modality. In this study, we collected fluorescence, Raman and reflectance spectra from 50 biopsies obtained from 32 patients undergoing transurethral resection of bladder tumour using a multimodal fibre-probe. Principal component analysis allowed distinguishing normal from pathological tissues, as well as discriminating tumour stages and grades. Each individual spectroscopic technique provided high specificity and sensitivity in classifying all tissues; however, a multimodal approach resulted in a considerable increase in diagnostic accuracy (≥95%), which is of paramount importance for tumour grading and staging. The presented method offers the potential for being applied in cystoscopy and for providing an automated diagnosis of UC at the clinical level, with an improvement with respect to current state-of-the-art procedures.


Volume: 12 (11)      Pages from: 201900087-1  to: 201900087-9

More Information: Horizon 2020 Framework Programme, Grant/Award Numbers: ICT-2016-1 732111 PICCOLO, 654148 Laserlab-Europe; Ministero della Salute, Grant/Award Number: GR-2011-02349626; Regione Toscana, Grant/Award Number: GLIOMICS (PAR FAS 2007-2013)
KeyWords: bladder, fluorescence, grading, PCA, Raman, reflectance, spectroscopy, staging, tumour
DOI: 10.1002/jbio.201900087

Citations: 7
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