Treffer: Bow and lean test reconsidered: anatomy, predictions, and a data visualization method for horizontal canal BPPV.

Title:
Bow and lean test reconsidered: anatomy, predictions, and a data visualization method for horizontal canal BPPV.
Authors:
Cherchi M; Department of Neurology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL, 60637, USA. marcello.cherchi@bsd.uchicago.edu.
Source:
Journal of neurology [J Neurol] 2026 Jan 13; Vol. 273 (1), pp. 78. Date of Electronic Publication: 2026 Jan 13.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0423161 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1459 (Electronic) Linking ISSN: 03405354 NLM ISO Abbreviation: J Neurol Subsets: MEDLINE
Imprint Name(s):
Original Publication: Berlin ; New York, Springer-Verlag
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Contributed Indexing:
Keywords: Anatomy; Benign paroxysmal positional vertigo; Labyrinth; Modeling; Treatment; Vestibular system
Entry Date(s):
Date Created: 20260113 Date Completed: 20260113 Latest Revision: 20260116
Update Code:
20260116
PubMed Central ID:
PMC12799655
DOI:
10.1007/s00415-025-13450-0
PMID:
41528541
Database:
MEDLINE

Weitere Informationen

In the diagnosis of horizontal canal benign paroxysmal positional vertigo, it is challenging to lateralize the affected side. The "bow and lean test," and several methods built upon it, have been proposed. Many of these techniques are based on a model in which the horizontal canal's putative anatomy involves an anteromedial segment. The actual anatomy has a posteromedial segment. We show that predictions of a model based on the hypothetical anatomy differ from those based on the true anatomy. We further show that the true anatomical model predicts that for a roll maneuver that begins in the supine position, going from the side-lying position to the prone position should generate different patterns of nystagmus depending on which side is affected; this should distinguish which side is affected, and thus has implications for treatment. We conclude with a data visualization method that depicts these findings compactly.
(© 2025. The Author(s).)

Declarations. Conflicts of interest: This research received no targeted funding, grants, or other support. The author declares neither financial nor non-financial conflicts of interest relevant to the content of this article.