How to Cite
Arango Vélez, R., Jaramillo Ayerbe, F., Riaño Rojas, J. C., y Prieto Ortiz, F. (2007). Characterization of the capillaroscopy pattern of the ungueal fold in persons without an evident illness by means of artificial intelligence techniques. Pilot. Biosalud, 6, 85–95. Retrieved from https://revistasojs.ucaldas.edu.co/index.php/biosalud/article/view/5847

Authors

Rafael Arango Vélez
Universidad de Caldas. Manizales
sincorreo@ucaldas.edu.co
Felipe Jaramillo Ayerbe
Universidad de Caldas. Manizales
sincorreo@ucaldas.edu.co
Juan Carlos Riaño Rojas
Universidad Nacional de Colombia, Sede Manizales
sincorreo@ucaldas.edu.co
Flavio Prieto Ortiz
Universidad Nacional de Colombia, Sede Manizales
sincorreo@ucaldas.edu.co

Abstract

INTRODUCTION: ungueal fold capillary microscopy is a non-invasive method in order to evaluate the skin’s microvasculature that contributes to the diagnosis of several autoimmune and vascular disorders. Normal patterns and abnormalities of capillaries are not yet well defined; they remain mostly as subjective measurements. OBJECTIVE: to characterize, through artificial intelligence techniques, the proximal capillary pattern of ungueal fold in adults without an evident disease. METHODS: for this descriptive study, a digital camera attached to a stereo-microscope was used to capture 763 ungueal fold capillary images from 42 subjects. We applied a computerized image process to analyze and obtain quantitative data of capillary length, width, angle (polarity), density and index of capillary turtuosity that was described in terms of mean, standard deviation, maximum and minimum values and 5, 25, 50, 75 y 95 percentiles. RESULTS: most of the morphological characteristics studied yielded a positive asymmetry with the median lower than the average. CONCLUSIONS: this pilot assay constitutes a first attempt to quantitatively characterize capillary bed pattern of subjects without evident disease. This procedure establishes the basis for its application in a larger sample which, in a further step, would allow us to contrast the patterns now found with those of patients with connective tissue diseases, and so, to acquire more objective parameters for the diagnosis of these diseases.

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