Funding for this research was provided by:
University of Sheffield
Received: 25 March 2019
Revised: 12 April 2019
Accepted: 24 April 2019
First Online: 22 May 2019
Compliance with ethical standards
: The scientific guarantor of this publication is Dr. Amaka C. Offiah.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: One of the authors has significant statistical expertise.
: Written informed consent was not required for this study because for the main study; informed consent was sought and obtained, but was not separately required for this study. The study was registered with the local Research and Innovation Department prior to commencement.
: Institutional Review Board approval was not required because for the main study; approval of the Local Research Ethics Committee was sought and obtained, but was not separately required for this study. The study was registered with the local Research and Innovation Department prior to commencement.
: Some study subjects or cohorts have been previously reported in:1. Adiotomre E, Summers L, Allison A, et al (2017) Diagnostic accuracy of DXA compared to conventional spine radiographs for the detection of vertebral fractures in children. Eur Radiol 27: 2188–21992. Alqahtani FF, Messina F, Kruger E, et al (2017) Evaluation of a semi-automated software program for the identification of vertebral fractures in children. Clin Radiol 72: 904-e11
: • Retrospective• Diagnostic or prognostic study• Performed at one institution