| Title |
Validation of adult height prediction based on automated bone age determination in the Paris Longitudinal Study of healthy children
|
|---|---|
| Published in |
Pediatric Radiology, November 2015
|
| DOI | 10.1007/s00247-015-3468-8 |
| Pubmed ID | |
| Authors |
David D. Martin, Jan Schittenhelm, Hans Henrik Thodberg |
| Abstract |
An adult height prediction model based on automated determination of bone age was developed and validated in two studies from Zurich, Switzerland. Varied living conditions and genetic backgrounds might make the model less accurate. To validate the adult height prediction model on children from another geographical location. We included 51 boys and 58 girls from the Paris Longitudinal Study of children born 1953 to 1958. Radiographs were obtained once or twice a year in these children from birth to age 18. Bone age was determined using the BoneXpert method. Radiographs in children with bone age greater than 6 years were considered, in total 1,124 images. The root mean square deviation between the predicted and the observed adult height was 2.8 cm for boys in the bone age range 6-15 years and 3.1 cm for girls in the bone age range 6-13 years. The bias (the average signed difference) was zero, except for girls below bone age 12, where the predictions were 0.8 cm too low. The accuracy of the BoneXpert method in terms of root mean square error was as predicted by the model, i.e. in line with what was observed in the Zurich studies. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Postgraduate | 3 | 10% |
| Lecturer | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 39% |
| Nursing and Health Professions | 3 | 10% |
| Sports and Recreations | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 August 2016.
All research outputs
#4,880,343
of 25,551,063 outputs
Outputs from Pediatric Radiology
#319
of 2,251 outputs
Outputs of similar age
#60,550
of 293,755 outputs
Outputs of similar age from Pediatric Radiology
#4
of 24 outputs
Altmetric has tracked 25,551,063 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,251 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 84% of its peers.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.