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Proceedings Paper

Gastric mucosa analysis using speckle patterns: a medical diagnosis alternative
Author(s): Carlos Augusto Andrade Eraso; Mario Milver Patiño Velasco; Jairo Alfonso Vásquez Lopez; Jaury Leon Tellez; Luis Eduardo Bravo; Hector Rabal; Marcelo Trivi
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Paper Abstract

Speckle techniques have been extensively employed in biomedical applications. It has been shown, that these non invasive optical techniques are useful to discriminate healthy tissues from those presenting some type of pathology. In this work we analyze speckle patterns from histological samples of gastric mucosa obtained by means of digestive endoscopies with three different histopathological confirmed diagnoses: atrophy, metaplasia and dysplasia. We studied biopsies from 27 patients and formed groups following the corresponding speckle contrast features. Three different groups according to the speckle contrast were established: higher for intestinal metaplasia, intermediate for gastric dysplasia and low for gastric atrophy. The comparison with histopathology shows a high value of concordance between both tests, making this methodology emerges as a possible new classification system for qualitative and quantitative gastric biopsy using optical techniques.

Paper Details

Date Published: 3 November 2011
PDF: 5 pages
Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80118I (3 November 2011); doi: 10.1117/12.901830
Show Author Affiliations
Carlos Augusto Andrade Eraso, Univ. del Cauca (Colombia)
Mario Milver Patiño Velasco, Univ. del Cauca (Colombia)
Jairo Alfonso Vásquez Lopez, Univ. del Cauca (Colombia)
Jaury Leon Tellez, Univ. del Cauca (Colombia)
Univ. Autónoma de Bucaramanga (Colombia)
Luis Eduardo Bravo, Univ. del Valle (Colombia)
Hector Rabal, Univ. Nacional de La Plata (Argentina)
Marcelo Trivi, Univ. Nacional de La Plata (Argentina)


Published in SPIE Proceedings Vol. 8011:
22nd Congress of the International Commission for Optics: Light for the Development of the World

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