Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II
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- STATUS
- Recruiting
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- End date
- Jun 1, 2030
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- participants needed
- 740
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- sponsor
- Central Hospital, Nancy, France
Summary
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.
Description
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.
Details
| Condition | Bone Cancer, Soft tissue tumor |
|---|---|
| Age | 18years - 100years |
| Treatment | MR imaging |
| Clinical Study Identifier | NCT04394052 |
| Sponsor | Central Hospital, Nancy, France |
| Last Modified on | 19 February 2024 |
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