Improving the quantitative classification of Erlenmeyer flask deformities.
Clinical cutoffs
Distal femur
Erlenmeyer flask deformity
MRI
Shape analysis
Sphericity
Surface area
Journal
Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953
Informations de publication
Date de publication:
Feb 2021
Feb 2021
Historique:
received:
05
06
2020
accepted:
20
07
2020
revised:
18
07
2020
pubmed:
1
8
2020
medline:
25
6
2021
entrez:
1
8
2020
Statut:
ppublish
Résumé
The Erlenmeyer flask deformity is a common skeletal modeling deformity, but current classification systems are binary and may restrict its utility as a predictor of associated skeletal conditions. A quantifiable 3-point system of severity classification could improve its predictive potential in disease. Ratios were derived from volumes of regions of interests drawn in 50 Gaucher's disease patients. ROIs were drawn from the distal physis to 2 cm proximal, 2 cm to 4 cm, and 4 cm to 6 cm. Width was also measured at each of these boundaries. Two readers rated these 100 femurs using a 3-point scale of severity classification. Weighted kappa indicated reliability and one-way analysis of variance characterized ratio differences across the severity scale. Accuracy analyses allowed determination of clinical cutoffs for each ratio. Pearson's correlations assessed the associations of volume and width with a shape-based concavity metric of the femur. The volume ratio incorporating the metaphyseal region from 0 to 2 cm and the diametaphyseal region at 4-6 cm was most accurate at distinguishing femurs on the 3-point scale. Receiver operating characteristic curves for this ratio indicated areas of 0.95 to distinguish normal and mild femurs and 0.93 to distinguish mild and severe femurs. Volume was moderately associated with the degree of femur concavity. The proposed volume ratio method is an objective, proficient method at distinguishing severities of the Erlenmeyer flask deformity with the potential for automation. This may have application across diseases associated with the deformity and deficient osteoclast-mediated modeling of growing bone.
Identifiants
pubmed: 32734372
doi: 10.1007/s00256-020-03561-2
pii: 10.1007/s00256-020-03561-2
pmc: PMC7736022
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
361-369Subventions
Organisme : Medical Research Council
ID : MR/K015338/1
Pays : United Kingdom
Organisme : Addenbrooke's Charitable Trust, Cambridge University Hospitals
ID : MR/K015338/1
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