David D Martin1,2, Jan Schittenhelm3, Hans Henrik Thodberg4. 1. Tübingen University Children's Hospital, Hoppe-Seyler-Str. 1, D-72076, Tübingen, Germany. David.martin@med.uni-tuebingen.de. 2. Filderklinik, Im Haberschlai 7, D-70794, Filderstadt, Germany. David.martin@med.uni-tuebingen.de. 3. Tübingen University Children's Hospital, Hoppe-Seyler-Str. 1, D-72076, Tübingen, Germany. 4. Visiana, Holte, Denmark.
Abstract
BACKGROUND: 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. OBJECTIVE: To validate the adult height prediction model on children from another geographical location. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSION: 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.
BACKGROUND: 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. OBJECTIVE: To validate the adult height prediction model on children from another geographical location. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Authors: David D Martin; Dorothee Deusch; Roland Schweizer; Gerhard Binder; Hans Henrik Thodberg; Michael B Ranke Journal: Pediatr Radiol Date: 2009-03-31
Authors: Marina Unrath; Hans Henrik Thodberg; Roland Schweizer; Michael B Ranke; Gerhard Binder; David D Martin Journal: Horm Res Paediatr Date: 2013-01-05 Impact factor: 2.852
Authors: David D Martin; Katharina Heil; Conrad Heckmann; Angelika Zierl; Jürgen Schaefer; Michael B Ranke; Gerhard Binder Journal: Pediatr Radiol Date: 2013-10-05
Authors: Hans Henrik Thodberg; Oskar G Jenni; Jon Caflisch; Michael B Ranke; David D Martin Journal: J Clin Endocrinol Metab Date: 2009-11-19 Impact factor: 5.958
Authors: Lidewij Sophia Boogers; Chantal Maria Wiepjes; Daniel Tatting Klink; Ilse Hellinga; Adrianus Sarinus Paulus van Trotsenburg; Martin den Heijer; Sabine Elisabeth Hannema Journal: J Clin Endocrinol Metab Date: 2022-08-18 Impact factor: 6.134
Authors: José I. Labarta; Michael B. Ranke; Mohamad Maghnie; David Martin; Laura Guazzarotti; Roland Pfäffle; Ekaterina Koledova; Jan M. Wit Journal: J Clin Res Pediatr Endocrinol Date: 2020-10-02