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Practical issues in assessing nailfold capillaroscopic images: a summary.

Abdolamir Karbalaie1, Zahra Emrani2, Alimohammad Fatemi3

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Nailfold capillaroscopy (NC) assessment accuracy is crucial for diagnosing autoimmune diseases. This review identifies factors impacting NC reliability and suggests methods to improve measurement precision.

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Area of Science:

  • Medical imaging
  • Rheumatology
  • Microvascular assessment

Background:

  • Nailfold capillaroscopy (NC) is a non-invasive method for evaluating microvascular changes in conditions like dermatomyositis and systemic sclerosis.
  • Existing research primarily focuses on NC pattern description and classification, with limited data on measurement accuracy and precision.

Purpose of the Study:

  • To review and identify factors influencing the reliability and validity of nailfold capillaroscopy assessments.
  • To highlight potential strategies for enhancing the accuracy and precision of NC measurements.

Main Methods:

  • Literature review of studies examining nailfold capillaroscopy (NC) reliability and validity.
  • Analysis of factors affecting NC image assessment, including physiological artifacts, instrumentation, human factors, and standardization.

Main Results:

  • NC reliability is affected by physiological artifacts (e.g., skin transparency, injuries, pigmentation), imaging instruments, operator variability, and assessment standards.
  • While some artifacts are unavoidable, adherence to protocols, use of specialized tools, training, and standardized guidelines can minimize measurement errors.

Conclusions:

  • Improving the reliability and validity of nailfold capillaroscopy requires addressing identified factors and implementing standardized protocols.
  • Machine learning-based automated analysis holds promise for reducing ambiguity and assessment time in NC image interpretation.