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Clinical Trial Details — Status: Recruiting

Administrative data

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

Study information

Verified date May 2020
Source Central Hospital, Nancy, France
Contact Pedro Gondim Teixieira, PhD
Phone +33 3 83 85 21 61
Email p.teixeira@chru-nancy.fr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


Recruitment information / eligibility

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.

Study Design


Intervention

Diagnostic Test:
MR imaging
Medical imaging

Locations

Country Name City State
France CHU-Nancy Nancy Lorraine

Sponsors (5)

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

Country where clinical trial is conducted

France, 

Outcome

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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