Literature DB >> 31259070

Macroscopic and microscopic fluorescence spectroscopy of colorectal benign and malignant lesions - diagnostically important features.

E Borisova1,2, T Genova1, D Bratashov2, M Lomova2, I Terziev3, B Vladimirov3, L Avramov1, O Semyachkina-Glushkovskaya2.   

Abstract

Fluorescence spectroscopy is a sensitive, fast and non-invasive tool for a diagnostics of cancerous gastrointestinal lesions. It could be applied for in situ detection of tumours during primary endoscopic observations or as add-on measurement modality during microscopic observations of tissue histology slides for their initial or retrospective diagnosis. Therefore, we are looking for diagnostically important features of normal and cancerous tissue areas in a broad spectral range for gastrointestinal tissues ex vivo using two steady-state macroscopic fluorescent spectroscopic modalities and by confocal fluorescent microscopic detection. Results obtained from autofluorescence spectroscopy of benign and malignant lower part gastrointestinal tract (GIT) lesions from freshly excised tissues during surgical removal of the lesions in 18 patients (22 lesions), were compared with the spectral measurements obtained during confocal fluorescent microscopy observations of unstained tissue slides using 405 nm excitation. Excitation-emission matrices (EEMs) were used for ex vivo measurements with applied excitation in 280-440 nm spectral region and emission observed between 300 and 700 nm. Synchronous fluorescence spectroscopy (SFS) approach was also applied to improve the spectral resolution of the observed complex emission spectra. Specific fluorescent features observed, related to presence of structural proteins, co-enzymes and endogenous porphyrins in the tissues investigated, allow discriminating normal mucosa from benign polyps and malignant carcinoma lesions with diagnostic accuracy up to 94.4%.

Entities:  

Year:  2019        PMID: 31259070      PMCID: PMC6583348          DOI: 10.1364/BOE.10.003009

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  2 in total

1.  Diagnosis System of Microscopic Hyperspectral Image of Hepatobiliary Tumors Based on Convolutional Neural Network.

Authors:  Shixin Huang; Jiawei Luo; Kexue Pu; Min Wu
Journal:  Comput Intell Neurosci       Date:  2022-03-17

Review 2.  Types of spectroscopy and microscopy techniques for cancer diagnosis: a review.

Authors:  Sindhoora Kaniyala Melanthota; Yury V Kistenev; Ekaterina Borisova; Deyan Ivanov; Olga Zakharova; Andrey Boyko; Denis Vrazhnov; Dharshini Gopal; Shweta Chakrabarti; Shama Prasada K; Nirmal Mazumder
Journal:  Lasers Med Sci       Date:  2022-07-14       Impact factor: 2.555

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.