Evidence map›Paper›PMID 41239019›Full record

ArticleJournal of neurology2025

Simple diameters, accurate stages:a practical approach to HD-ISS staging.

Beatrice Heim, Florian Krismer, Greta Hemicker, Clancy Cerejo, Katarina Schwarzova, Samuel Labrecque, Federico Carbone, Marina Peball, Christoph Scherfler, Philipp Mahlknecht and 4 more

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Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Beatrice HeimDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.ORCID http://orcid.org/0000-0002-6749-3044
Florian KrismerDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Greta HemickerDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Clancy CerejoDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Katarina SchwarzovaDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Samuel LabrecqueDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Federico CarboneDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Marina PeballDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Christoph ScherflerDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Philipp MahlknechtDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Astrid E GramsDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Elke R GizewskiDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Atbin DjamshidianDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
Klaus SeppiDepartment of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria. klaus.seppi@i-med.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuntington's disease (HD) is a neurodegenerative disorder caused by CAG repeat expansions. The Huntington's Disease Integrated Staging System (HD-ISS) classifies disease stages (0-3) using clinical, biological, and imaging assessments, with caudate and putamen volumes serving as key early biomarkers. Conventional automated volumetric methods typically require specialized software and experienced operators, limiting broader accessibility. Simple linear measurements, such as the bicaudate ratio (BCR) and bifrontal-to-bicaudate ratio (FCR), may provide a practical alternative for assessing striatal atrophy.

methodsReference caudate and putamen volumes were measured using automated segmentation (FreeSurfer). Linear measurements (frontal horn width, intercaudate distance, inner table width) were used to calculate BCR and FCR in a training cohort of 44 HD mutation carriers. Regression models predicting caudate and putamen volumes based on FCR were developed and validated in an independent test cohort of 11 HD mutation carriers. Interrater reliability was assessed via intraclass correlation coefficients (ICC).

resultsInterrater reliability was excellent. Among linear measurements, FCR had the strongest correlation with caudate (r = 0.866; R

conclusionFCR-based linear estimation of caudate and putamen volumes provides accurate and reliable HD-ISS staging. This simplified method offers a practical and time-efficient alternative to conventional volumetry, potentially facilitating wider application of HD-ISS staging in clinical practice and non-specialist research settings.

Indexed as

Caudate NucleusHuntington DiseasePutamenSeverity of Illness IndexAdultAgedCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsBiomarkersHD-ISSHuntington’s diseaseMRI

Identifiers

PMID41239019
PMCPMC12618320

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.