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Automated radiogrammetry is a feasible method for measuring bone quality and bone maturation in severely disabled children

Overview of attention for article published in Pediatric Radiology, March 2016
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Title
Automated radiogrammetry is a feasible method for measuring bone quality and bone maturation in severely disabled children
Published in
Pediatric Radiology, March 2016
DOI 10.1007/s00247-016-3548-4
Pubmed ID
Authors

Sandra Mergler, Stella A. de Man, Annemieke M. Boot, Karen G. C. B. Bindels-de Heus, Wim A. R. Huijbers, Rick R. van Rijn, Corine Penning, Heleen M. Evenhuis

Abstract

Children with severe neurological impairment and intellectual disability are prone to low bone quality and fractures. We studied the feasibility of automated radiogrammetry in assessing bone quality in this specific group of children. We measured outcome of bone quality and, because these children tend to have altered skeletal maturation, we also studied bone age. We used hand radiographs obtained in 95 children (mean age 11.4 years) presenting at outpatient paediatric clinics. We used BoneXpert software to determine bone quality, expressed as paediatric bone index and bone age. Regarding feasibility, we successfully obtained a paediatric bone index in 60 children (63.2%). The results on bone quality showed a mean paediatric bone index standard deviation score of -1.85, significantly lower than that of healthy peers (P < 0.0001). Almost 50% of the children had severely diminished bone quality. In 64% of the children bone age diverged more than 1 year from chronological age. This mostly concerned delayed bone maturation. Automated radiogrammetry is feasible for evaluating bone quality in children who have disabilities but not severe contractures. Bone quality in these children is severely diminished. Because bone maturation frequently deviated from chronological age, we recommend comparison to bone-age-related reference values.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Doctoral Student 5 17%
Student > Master 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 10 34%
Biochemistry, Genetics and Molecular Biology 3 10%
Nursing and Health Professions 3 10%
Immunology and Microbiology 1 3%
Psychology 1 3%
Other 5 17%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2016.
All research outputs
#18,820,431
of 23,323,574 outputs
Outputs from Pediatric Radiology
#1,571
of 2,112 outputs
Outputs of similar age
#221,613
of 301,839 outputs
Outputs of similar age from Pediatric Radiology
#32
of 54 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,112 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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