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Updated: Nov 2, 2025
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
[Bone and soft tissue tumours in children : Proposal for a rational diagnostic approach]
1Klinik für Diagnostische und Interventionelle Radiologie, Kinderradiologie und Neuroradiologie, Artemed Klinikum Freiburg, Sautierstr. 1, 79104, Freiburg, Deutschland. markus.uhl@rkk-klinikum.de.
Clinical/Methodological Issue:
Bone and soft tissue tumours are often incidental findings in children. Because they are usually benign tumours, nonspecialised radiologists generally have little experience in the diagnosis and differentiation from malignant tumours. Various imaging techniques are used in the diagnosis of skeletal tumours.
Standard Radiological Methods:
Imaging techniques used to evaluate bone and soft tissue tumours include sonography, computed tomography (CT) and magnetic resonance imaging (MRI).
Methodological Innovations:
An algorithm to determine malignancy of bone and soft tissue tumours in children is proposed.
Performance:
By using the presented algorithms, further diagnostic procedures such as biopsies can be avoided in the majority of children with bone and soft tissue tumours. Aggressive bone lesions and unclear soft tissue tumours are guided to biopsy to confirm diagnosis.
Achievements:
The algorithms presented are based on the proposals of European professional societies and have been adapted by the authors for use in children and adolescents.
Practical Recommendations:
In the clarification of soft tissue tumours, sonography is the first diagnostic tool; depending on the sonographic findings, MRI is the technique for further clarification. Biopsy confirmation of the diagnosis in unclear cases or in cases of probable malignancy should be carried out in a paediatric oncology centre.
