Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model

ConclusionsAssessment of rapidly advancing bone age during puberty on elbow radiographs using our deep neural network model was similar to that of experts.Key Points• Bone age during puberty is particularly important for patients with scoliosis or limb-length discrepancy to determine the phase of the disease, which influences the timing and method of surgery.• The commonly used hand radiographs–based methods have limitations in assessing bone age during puberty due to the less prominent morphological changes of the hand and wrist bones in this period.• A deep neural network model trained with elbow radiographs exhibited similar performance to human experts on estimating rapidly advancing bone age during puberty.
Source: European Radiology - Category: Radiology Source Type: research