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Evaluation of Open-Source Ciliary Analysis Software in Primary Ciliary Dyskinesia: A Comparative Assessment.

Zachary J DemetriouJosé Muñiz-HernándezGabriel Rosario-OrtizFrances M QuiñonesGabriel Gonzalez-DiazMarcos J Ramos-BenitezRicardo A MosqueraWilfredo De Jesús-Rojas
Published in: Diagnostics (Basel, Switzerland) (2024)
Primary Ciliary Dyskinesia (PCD) is a rare genetic disorder characterized by alterations in motile cilia function. The diagnosis of PCD is challenging due to the lack of standardized methods in clinical practice. High-speed video microscopy analysis (HSVA) directly evaluates ciliary beat frequency (CBF) in PCD. Recently, open-source ciliary analysis software applications have shown promise in measuring CBF accurately. However, there is limited knowledge about the performance of different software applications, creating a gap in understanding their comparative effectiveness in measuring CBF in PCD. We compared two open-source software applications, CiliarMove (v219) and Cilialyzer (v1.2.1-b3098cb), against the manual count method. We used high-speed videos of nasal ciliary brush samples from PCD RSPH4A -positive (PCD ( RSPH4A )) patients and healthy controls. All three methods showed lower median CBF values for patients with PCD ( RSPH4A ) than in healthy controls. CiliarMove and Cilialyzer identified lower CBF in patients with PCD ( RSPH4A ), similarly to the manual count. Cilialyzer, CiliarMove, and manual count methods demonstrated statistical significance ( p -value < 0.0001) in the difference of median CBF values between patients with PCD ( RSPH4A ) and healthy controls. Correlation coefficients between the manual count values against both software methods demonstrated positive linear relationships. These findings support the utility of open-source software-based analysis tools. Further studies are needed to validate these findings with other genetic variants and identify the optimal software for accurate CBF measurement in patients with PCD.
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