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Practical issues in assessing nailfold capillaroscopic images: a summary
KTH Royal Institute of Technology.ORCID iD: 0000-0001-7320-2306
Isfahan University of Medical Sciences, Isfahan, Iran.ORCID iD: 0000-0002-7309-1105
Isfahan University of Medical Sciences, Isfahan, Iran. (Rheumatology Section, Department of Internal Medicine, School of Medicine Isfahan University of Medical Sciences Isfahan Iran)ORCID iD: 0000-0003-3793-7449
Isfahan University of Medical Sciences, Isfahan, Iran.ORCID iD: 0000-0003-0841-1894
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2019 (English)In: Clinical Rheumatology, ISSN 0770-3198, E-ISSN 1434-9949, Vol. 38, no 9, p. 2343-2354Article in journal (Refereed) Published
Abstract [en]

Nailfold capillaroscopy (NC) is a highly sensitive, safe, and non-invasive technique to assess involvement rate of microvascularity in dermatomyositis and systemic sclerosis. A large number of studies have focused on NC pattern description, classification, and scoring system validation, but minimal information has been published on the accuracy and precision of the measurement. The objective of this review article is to identify different factors affecting the reliability and validity of the assessment in NC. Several factors can affect the reliability of the examination, e.g., physiological artifacts, the nailfold imaging instrument, human factors, and the assessment rules and standards. It is impossible to avoid all artifacts, e.g., skin transparency, physically injured fingers, and skin pigmentation. However, minimization of the impact of some of these artifacts by considering some protocols before the examination and by using specialized tools, training, guidelines, and software can help to reduce errors in the measurement and assessment of NC images. Establishing guidelines and instructions for automatic characterization and measurement based on machine learning techniques also may reduce ambiguities and the assessment time.

Place, publisher, year, edition, pages
Springer, 2019. Vol. 38, no 9, p. 2343-2354
Keywords [en]
Assessment, Measurement, Nailfold capillaroscopy
National Category
Engineering and Technology Medical and Health Sciences
Identifiers
URN: urn:nbn:se:miun:diva-37173DOI: 10.1007/s10067-019-04644-9OAI: oai:DiVA.org:miun-37173DiVA, id: diva2:1349593
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-20Bibliographically approved

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Karbalaie, Abdolamir

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Karbalaie, AbdolamirEmrani, ZahraFatemi, AlimohammadEtehadtavakol, MahnazErlandsson, Björn-Erik
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