Literature DB >> 28403688

Quantification of early cutaneous manifestations of chronic venous insufficiency by automated analysis of photographic images: Feasibility and technical considerations.

François Becker1, Patrice Fourgeau2, Patrick H Carpentier3, Amina Ouchène2.   

Abstract

We postulate that blue telangiectasia and brownish pigmentation at ankle level, early markers of chronic venous insufficiency, can be quantified for longitudinal studies of chronic venous disease in Caucasian people. Objectives and methods To describe a photographic technique specially developed for this purpose. The pictures were acquired using a dedicated photo stand to position the foot in a reproducible way, with a normalized lighting and acquisition protocol. The image analysis was performed with a tool developed using algorithms optimized to detect and quantify blue telangiectasia and brownish pigmentation and their relative surface in the region of interest. To test the short-term reproducibility of the measures. Results The quantification of the blue telangiectasia and of the brownish pigmentation using an automated digital photo analysis is feasible. The short-term reproducibility is good for blue telangiectasia quantification. It is a less accurate for the brownish pigmentation. Conclusion The blue telangiectasia of the corona phlebectatica and the ankle flare can be assessed using a clinimetric approach based on the automated digital photo analysis.

Entities:  

Keywords:  Chronic venous insufficiency; ankle flare; clinimetry; corona phlebectatica paraplantaris; digital image analysis

Mesh:

Year:  2017        PMID: 28403688     DOI: 10.1177/0268355517703840

Source DB:  PubMed          Journal:  Phlebology        ISSN: 0268-3555            Impact factor:   1.740


  1 in total

1.  Skin hyperpigmentation index: a new practical method for unbiased automated quantification of skin hyperpigmentation.

Authors:  S Bossart; S Cazzaniga; T Willenberg; A-A Ramelet; M Baumgartner; R E Hunger; S M Seyed Jafari
Journal:  J Eur Acad Dermatol Venereol       Date:  2020-04-06       Impact factor: 6.166

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.