Bone Neoplasm Clinical Trial
Official title:
Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II: Texture Analysis and Artificial Intelligence
This study aims at evaluating the value of various artificial intelligence based techniques to improve the characterization and image post-processing for patients with musculoskeletal tumors.
Comparison of values relating to the texture parameters of tumors evaluated by MRI and
ultra-high resolution CT between benign and malignant lesions using histological analysis as
the standard of reference.
Comparison of the diagnostic performance of texture parameters derived from different MRI
sequences and ultra-high resolution CT for musculoskeletal tumor characterization.
Evaluate the impact of ultra-high resolution with respect to standard resolution on CT images
Comparison of the diagnostic performance of the texture parameters for the tumor on the
diagnostic performance of texture analysis derived parameters for the characterization of
musculoskeletal tumors.
Evaluate the effectiveness and accuracy of automatic artificial intelligence (AI) based tumor
segmentation tools.
Evaluate the use of trabecular analysis on ultra-high resolution CT images for the evaluation
of tumor-bone interfaces.
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