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medRxivGenetic & Genomic MedicinePreprint

ArchSpiral: An iPad-Based Digital Archimedean Spiral Assessment for Objective Motor Evaluation in Rare Diseases

Daniel R. SchecteriD, Rory James TinkeriD, Matteo DanielettoiD, Georgia MacDonald, Tamás KozicziD, Éva MoravaiD, Benjamin S Glicksberg

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Abstract

ObjectivesWe developed and evaluated ArchSpiral, an iPad application that digitizes the International Cooperative Ataxia Rating Scale (ICARS) spiral tracing task to address the need for portable rare disease assessment while preserving clinical scoring and generating quantitative digital biomarkers. Materials and MethodsArchSpiral (Swift/SwiftUI/PencilKit) captures Apple Pencil or finger tracings and computes tracing accuracy, root mean squared error, duration, average speed, pen lifts, pauses, steadiness, and an automated ICARS-compatible morphology score. Twelve participants with congenital disorders of glycosylation completed paired paper-digital assessments. ResultsDigital ICARS scores spanned the scoring range (1-4). Paper and digital scores agreed exactly in 11 of 12 assessments (linear weighted {kappa} = 0.91). Steadiness showed the strongest association with paper-based ICARS scores ({rho} = -0.82, FDR-adjusted P = 0.008). DiscussionArchSpiral enables standardized digital spiral assessment, while preserving compatibility with conventional ICARS scoring and adding objective quantitative measures for longitudinal rare disease research and clinical care.

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