TUMOSTEO II: Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II
Study Details
Study Description
Brief 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.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed 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.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Soft-tissue tumors Benign and malignant soft tissue masses |
Diagnostic Test: MR imaging
Medical imaging
Other Names:
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Bone tumors Benign and malignant bone focal bone lesions |
Diagnostic Test: MR imaging
Medical imaging
Other Names:
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Outcome Measures
Primary Outcome Measures
- Lesion benignancy or malignancy [Performed up to 6 months after CT and Magnetic Resonance (MR) imaging]
Histologic determination of lesion aggressiveness (benign versus malignant) on core biopsy material
Secondary Outcome Measures
- Sarcoma FNCLCC (fédération Nationale des Centres de Lutte Contre le Cancer) grade [Performed up to 1 year after CT and MR imaging]
Histologic grade of the sarcomas included in the study population with surgical resection material
Eligibility Criteria
Criteria
Inclusion Criteria:
- Patients suspected to have a bone or soft-tissue tumor referred for imaging for initial tumors characterization and staging.
Exclusion Criteria:
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Pregnancy
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Breast feeding patients
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Renal insufficiency
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Contra indications to MRI or CT
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Prior surgery or treatment to the evaluated lesion.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | CHU-Nancy | Nancy | Lorraine | France | 54000 |
Sponsors and Collaborators
- Central Hospital, Nancy, France
- Lorraine Cancer Institute - ICL
- Emille Gallé Surgical Center - CCEG
- Diagnostic and Interventional Adaptative Imaging Laboratory - IADI
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2019PI253