Herrmann, Jochen http://orcid.org/0000-0002-0329-4863
Säring, Dennis
Auf der Mauer, Markus
Groth, Michael
Jopp-van Well, Eilin
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (DFG; JO 1198/2-1; SA 2530/6-1)
Article History
Received: 24 June 2020
Revised: 27 August 2020
Accepted: 23 September 2020
First Online: 14 October 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Dr. Eilin Jopp-van Well.
: 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 obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported. In detail, the MRI examinations included in this study were part of two previously published studies that focused on artificial intelligence–supported analyses: M. Auf der Mauer et al, “A 2-year follow-up MRI study for the evaluation of an age estimation method based on knee bone development,” <i>Int. J. Legal Med.</i>, 2019; P. L. Pröve <i>et al</i>, “Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks,” <i>Int. J. Legal Med.</i>, 2019.
: • prospective• cross-sectional study• performed at one institution