ArticleHip & pelvis2025
Characterizing Shape Variations in Infant Hips Using Statistical Shape Modeling for Ultrasonic Diagnosis of Hip Dysplasia with Graf's Method.
Article in Hip & pelvis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Through the measurement of Graf's alpha (α) angle, the Graf method uses two-dimensional ultrasound (US) to diagnose developmental dysplasia of the hip (DDH) in infants. However, this unidimensional index cannot fully reflect anatomic shape features and variations of iliac wing and bony acetabular roof (IW-AR) coronal outlines that may influence DDH. This study aimed to analyze the shapes of IW-AR outlines by revealing their mean shape, possible shape variations, and the impact of these variations on the α angle variability. Materials and Methods: By segmenting US images of 510 infant hips, IW-AR outlines in Graf's standard plane were obtained from a mixed screening population. A statistical shape model (SSM) was then developed to analyze the outline shapes. Results: In the IW-AR outlines, shape variations were described by linear combinations of six global and local shape modes. A global mode, dominantly causing an entire outline to bend about the vicinity of its apex, could affect the α angle in a large range (38°-70°). Although a local mode produced bending patterns that had a lesser impact on the α angle (up to 6°), it may relate to DDH diagnosis and clinical outcome. Conclusion: Shape variations in IW-AR outlines can be effectively modeled by using a compact SSM representative of the variations as linear combinations of a few global and local modes. The shape variations and the angle variability by the local modes should not be underestimated even though the effect of global modes on the α angle is dominant.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.