Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …

Osteosarcoma and Ewing sarcoma are the most common bone sarcomas in children. Their
clinical presentation is very variable depending on the age of the patient and tumor location …

Artificial intelligence (AI) is increasingly being studied in musculoskeletal oncology imaging.
AI has been applied to both primary and secondary bone tumors and assessed for various …

Malignant primary bone tumors are uncommon in the pediatric population, accounting for
3%–5% of all pediatric malignancies. Osteosarcoma and Ewing sarcoma comprise 90% of …

Purpose Diffusion-weighted MRI is a promising technique to monitor response to treatment
in pediatric rhabdomyosarcoma. However, its validation in clinical practice remains …

Diffusion-weighted imaging (DWI) with an apparent diffusion coefficient (ADC) value is a
relatively new magnetic resonance imaging (MRI) sequence that provides functional …

Bone microarchitecture has been shown to provide useful information regarding the
evaluation of skeleton quality with an added value to areal bone mineral density, which can …

Background Uncertainty regarding the reproducibility of the apparent diffusion coefficient
(ADC) hampers the use of quantitative diffusion‐weighted imaging (DWI) in evaluation of the …

Diffusion-weighted imaging (DWI) complements the more established T1, fluid-sensitive and
gadolinium-enhanced magnetic resonance pulse sequences used to assess several …

Recent studies have shown that MRI demonstrates promising results for evaluating the
chemotherapy efficacy in bone sarcomas. This article reviews current methods for evaluating …