Bone Neoplasm Clinical Trial
— TUMOSTEO IIOfficial title:
Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II: Texture Analysis and Artificial Intelligence
NCT number | NCT04394052 |
Other study ID # | 2019PI253 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | June 1, 2020 |
Est. completion date | June 1, 2030 |
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.
Status | Recruiting |
Enrollment | 740 |
Est. completion date | June 1, 2030 |
Est. primary completion date | June 1, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Patients suspected to have a bone or soft-tissue tumor referred for imaging for initial tumors characterization and staging. Exclusion Criteria: - Pregnancy - Breast feeding patients - Renal insufficiency - Contra indications to MRI or CT - Prior surgery or treatment to the evaluated lesion. |
Country | Name | City | State |
---|---|---|---|
France | CHU-Nancy | Nancy | Lorraine |
Lead Sponsor | Collaborator |
---|---|
Central Hospital, Nancy, France | Diagnostic and Interventional Adaptative Imaging Laboratory - IADI, Emille Gallé Surgical Center - CCEG, Lorraine Cancer Institute - ICL, Nancy's Regional University Hospital Center (CHRU-Nancy) anatomopathology department |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Lesion benignancy or malignancy | Histologic determination of lesion aggressiveness (benign versus malignant) on core biopsy material | Performed up to 6 months after CT and Magnetic Resonance (MR) imaging | |
Secondary | Sarcoma FNCLCC (fédération Nationale des Centres de Lutte Contre le Cancer) grade | Histologic grade of the sarcomas included in the study population with surgical resection material | Performed up to 1 year after CT and MR imaging |
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