MRI Perfusion Curves Typology and Orbital Tumors (PERFORM)
NCT ID: NCT02434120
Last Updated: 2024-04-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
238 participants
OBSERVATIONAL
2015-11-30
2022-08-08
Brief Summary
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Pathology is of considerable importance for the diagnosis and the treatment of those masses. However, biopsy or surgical resection of the orbital masses is sometimes difficult and dangerous outside expert centers.
The identification of a non-invasive technique for distinguishing tumors from pseudotumors, thus avoid in some cases a biopsy, would be a major contribution for the patients.
For salivary glands, MRI allows to identify 4 different types of MRI characteristics, one (type C) being related to malignant tumors.
In this study, the investigators will try to see if extrapolation of those data to orbiltal tumors is feasible.
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* with orbital mass for which a biopsy and/or a surgical removal is planned
* undergoing an MRI
* before surgery
Exclusion Criteria
* intolerance to constrast agent
* pregnancy
* breast feeding
* patient under a legal protection procedure
* patient denying to participate to the study
* lack of affiliation to a social security system
18 Years
ALL
No
Sponsors
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Fondation Ophtalmologique Adolphe de Rothschild
NETWORK
Responsible Party
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Locations
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Fondation A De Rothschild
Paris, , France
Countries
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References
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O'Shaughnessy E, Cossec CL, Mambour N, Lecoeuvre A, Savatovsky J, Zmuda M, Duron L, Lecler A. Diagnostic Performance of Dynamic Contrast-Enhanced 3T MR Imaging for Characterization of Orbital Lesions: Validation in a Large Prospective Study. AJNR Am J Neuroradiol. 2024 Mar 7;45(3):342-350. doi: 10.3174/ajnr.A8131.
O'Shaughnessy E, Senicourt L, Mambour N, Savatovsky J, Duron L, Lecler A. Toward Precision Diagnosis: Machine Learning in Identifying Malignant Orbital Tumors With Multiparametric 3 T MRI. Invest Radiol. 2024 Oct 1;59(10):737-745. doi: 10.1097/RLI.0000000000001076. Epub 2024 Apr 11.
Other Identifiers
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ALR_2015_13
Identifier Type: -
Identifier Source: org_study_id
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