Literature DB >> 28067998

Multimodal fiber-probe spectroscopy allows detecting epileptogenic focal cortical dysplasia in children.

Suresh Anand1,2, Riccardo Cicchi1,2, Flavio Giordano3, Valerio Conti4, Anna Maria Buccoliero5, Renzo Guerrini4, Francesco Saverio Pavone1,2,6.   

Abstract

We evaluated the diagnostic capability of a multimodal spectroscopic approach for classifying normal brain tissue and epileptogenic focal cortical dysplasia in children. We employed fluorescence spectroscopy at two excitation wavelengths (378 nm and 445 nm) and Raman spectroscopy (at 785 nm excitation) for acquiring fluorescence and Raman spectra from 10 normal brains, 16 focal cortical dysplasia specimens and 1 cortical tuber tissue sites using a custom-built multimodal optical point spectroscopic system. We used principal component analysis combined with leave-one-sample-out-cross-validation for tissue classification. The study resulted in 100% sensitivity and 90% specificity using the information obtained from fluorescence at two distinct wavelengths and Raman spectroscopy for discriminating normal brain tissue and focal cortical dysplasia. Our results demonstrate that this methodology has the potential to be applied clinically for the detection of focal cortical dysplasia and can help to improve as precise as possible surgical resection of the dysplastic tissue during surgery for epilepsy. Schematic draw of the experimental setup used for fiber-probe spectroscopy.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  focal cortical dysplasia; multimodal optical spectroscopy; principal component analysis

Mesh:

Year:  2017        PMID: 28067998     DOI: 10.1002/jbio.201600136

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  2 in total

1.  Multispectral Depth-Resolved Fluorescence Lifetime Spectroscopy Using SPAD Array Detectors and Fiber Probes.

Authors:  João L Lagarto; Caterina Credi; Federica Villa; Simone Tisa; Franco Zappa; Vladislav Shcheslavskiy; Francesco Saverio Pavone; Riccardo Cicchi
Journal:  Sensors (Basel)       Date:  2019-06-13       Impact factor: 3.576

2.  In vivo detection of murine glioblastoma through Raman and reflectance fiber-probe spectroscopies.

Authors:  Enrico Baria; Enrico Pracucci; Vinoshene Pillai; Francesco S Pavone; Gian M Ratto; Riccardo Cicchi
Journal:  Neurophotonics       Date:  2020-12-01       Impact factor: 3.593

  2 in total

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