Evidence map›Paper›PMID 42792547›Full record

ArticleBiology2026

Beyond Mean HU: Spatial Radiodensity Mapping of the Human Hyoid as a Baseline for Morphological and Biomechanical Investigation.

Alexander Morávek, Katarína Martinková, Petr Henyš, Jana Velemínská, Niels Hammer, Michal Kuchař

Abstract read
In one paragraph

Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alexander MorávekDepartment of Anatomy, Faculty of Medicine in Hradec Kralove, Charles University, 50003 Hradec Kralove, Czech Republic.ORCID 0000-0003-2252-6719
Katarína MartinkováDepartment of Histology and Embryology, 3rd Faculty of Medicine, Charles University, 10000 Prague, Czech Republic.ORCID 0000-0003-3472-3680
Petr HenyšDepartment of New Technologies and Applied Informatics, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 46117 Liberec, Czech Republic.ORCID 0000-0002-8700-0163
Jana VelemínskáDepartment of Anthropology and Human Genetics, Faculty of Science, Charles University, 12800 Prague, Czech Republic.
Niels HammerDivision of Macroscopic and Clinical Anatomy, Gottfried Schatz Research Center, Medical University Graz, 8036 Graz, Austria.ORCID 0000-0001-8230-9383
Michal KuchařDepartment of Anatomy, Faculty of Medicine in Hradec Kralove, Charles University, 50003 Hradec Kralove, Czech Republic.ORCID 0000-0002-4922-1037

Funding

Charles University Grant Agency No. 124
6 · The paper itself

Abstract

Bone radiodensity is often reduced to global Hounsfield Unit (HU) summaries, although its spatial distribution may contain biologically relevant information. This study introduced a template-based framework for spatial radiodensity mapping of the adult human hyoid and tested whether spatial descriptors capture age- and sex-related variation better than whole-bone HU measures. Clinical head-and-neck CT scans from 300 adults, including 180 females and 120 males, were analyzed. Hyoids were segmented, normalized into a common anatomical template, and divided into 1500 supervoxels for spatial analysis. Scalar HU summaries were compared with PCA-based spatial descriptors, and regional effects were assessed using supervoxel-wise models with false-discovery-rate correction. The registered radiodensity maps showed spatial coherence, with neighboring supervoxels displaying more similar profiles than distant ones. In this cohort, spatial descriptors outperformed mean HU for age prediction, although performance remained limited (R

Indexed as

age-related variationbone heterogeneitycomputed tomographyhyoid boneimage registrationradiodensity mappingsexual dimorphismspatial phenotypingsupervoxel analysistemplate-based mapping

Identifiers

PMID42792547
PMCPMC13604927

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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.