Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II

Study Overview
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Brief Summary
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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.

Detailed Description
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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.

Official Title
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Novel Imaging Techniques for the Characterization of Musculoskeletal Tumors II: Texture Analysis and Artificial Intelligence

Conditions
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Soft Tissue Neoplasm, Bone Neoplasm

Intervention / Treatment
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* Diagnostic Test: MR imaging


Participation Criteria
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Eligibility Criteria
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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.

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Soft-tissue tumors<br>Benign and malignant soft tissue masses | Diagnostic Test: MR imaging<br>* Medical imaging<br>* Other names: Ultra-high resolution CT;|
| Bone tumors<br>Benign and malignant bone focal bone lesions | Diagnostic Test: MR imaging<br>* Medical imaging<br>* Other names: Ultra-high resolution CT;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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MRI, CT, Texture analysis, Ultra-high resolution, Tumors, Musculoskeletal