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Less is more: comparison of automated spiral-drawing metrics with clinician-rated tremor scores after MRgFUS thalamotomy

  • Mark Katson
  • , Teddy Lazebnik
  • , Meirav Har-Even
  • , Maxim Glebov
  • , Fawzia Naamnih
  • , Alon Sinai
  • , Maria Nassar
  • , Inna Senderova
  • , Marius Constantinescu
  • , Lior Lev Tov
  • , Vered Aharonson
  • , Ilana Schlesinger

Research output: Contribution to journal › Article › peer-review

Abstract

Objective measures of tremor could improve assessment of response to magnetic resonance-guided focused ultrasound (MRgFUS) for essential tremor in practice, but it is unclear whether image-derived metrics from spiral drawings reflect clinician judgment. In this study, we analyzed 410 spiral-drawing observations from 106 patients with essential tremor undergoing MRgFUS thalamotomy and compared two recent computer-vision measures with a simple geometric metric (total line length) against an ordinal clinical rating scale for tremor spiral scores using ordered logistic mixed-effects models. Only line length independently tracked worse clinician-rated severity (odds ratio(per 1 mm) 1.017, p < 0.01), whereas the two image-based scores showed no significant association. The model captured the expected treatment signature, with marked post-procedural improvement confined to the treated hand. These findings suggest that low-complexity interpretable features may better approximate clinically meaningful tremor severity than more elaborate image-processing metrics and support further validation against functional outcomes.

Original languageEnglish
Article number1848802
JournalFrontiers in Neurology
Volume17
DOIs
StatePublished - 2026

Bibliographical note

Publisher Copyright:
Copyright © 2026 Katson, Lazebnik, Har-Even, Glebov, Naamnih, Sinai, Nassar, Senderova, Constantinescu, Tov, Aharonson and Schlesinger.

Keywords

  • MRI guided focused ultrasound
  • clinical computer vision
  • essential tremor
  • image-based biomarkers
  • model evaluation and validation
  • spiral drawing analysis

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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