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Capi-score: a quantitative algorithm for identifying disease patterns in nailfold videocapillaroscopy.

Borja Del Carmelo Gracia Tello1,2, Luis Sáez Comet3, Gema Lledó4

  • 1Internal Medicine Department, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain.

Rheumatology (Oxford, England)
|March 26, 2024
PubMed
Summary
This summary is machine-generated.

This study developed a software-based algorithm (CAPI-score) to objectively identify nailfold videocapillaroscopy disease patterns in systemic sclerosis and Raynaud

Keywords:
Fast Track algorithmRaynaud’s phenomenonnailfold videocapillaroscopyquantitativesoftware-based algorithmsystemic sclerosis

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Area of Science:

  • Rheumatology
  • Dermatology
  • Medical Imaging Analysis

Background:

  • Nailfold videocapillaroscopy (NVC) is crucial for identifying disease patterns (DPs) in systemic sclerosis (SSc) and Raynaud's phenomenon (RP).
  • Existing EULAR guidelines propose a Fast Track algorithm, but interobserver variability remains a limitation.
  • Objective software-based analysis is needed to standardize NVC interpretation.

Purpose of the Study:

  • To perform a software-based analysis of NVC peculiarities in SSc and RP patients.
  • To develop a novel algorithm for identifying DPs, inspired by the Fast Track approach, minimizing subjectivity.
  • To enhance the accuracy and reproducibility of NVC-based DPs classification.

Main Methods:

  • Software analysis of 851 NVCs with consensually agreed DPs (≥2/3 interobservers).
  • Identification of key NVC variables (capillary density, abnormal/giant capillaries, tortuosity, hemorrhages).
  • Development of the CAPI-score algorithm with four distinct rules for DP categorization.

Main Results:

  • The CAPI-score algorithm achieved high accuracy in categorizing DPs: Rule 1 (SSc vs. non-SSc) 0.88, Rules 2 & 3 (SSc subtypes) 0.82, Rule 4 (non-SSc subtypes) 0.73.
  • Software analysis identified specific cut-offs for capillary density and morphological abnormalities.
  • Accuracy was further improved with NVCs achieving full interobserver consensus.

Conclusions:

  • The CAPI-score algorithm offers a potential tool for objective DPs assignment in NVC.
  • This software-based approach can overcome the limitations of interobserver subjectivity in NVC interpretation.
  • The CAPI-score may improve diagnostic consistency and patient stratification in SSc and RP.