Clinical trial · Observational
MRI Perfusion Curves Typology and Orbital Tumors (PERFORM)
Validation, for Orbital Tumors, of the MRI Perfusion Curves Typology Established for Salivary Tumors
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Orbital masses develop at the expense of the orbital structures lacrimal glands, oculomotor muscles, optic nerve, meningeal spaces, peripheral nerves, bone wall, orbital fat, lymphoid structures or vascular structures. These masses can be tumors, benign or malignant, or pseudotumor, mainly represented by specific or non-specific orbital inflammation. 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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Orbital Tumor | Orbital Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Concordance of the MRI type and the pathological findings as assessed by the kappa coefficient
- timeFrame
- one month
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patient aged 18 years or more * with orbital mass for which a biopsy and/or a surgical removal is planned * undergoing an MRI * before surgery Exclusion Criteria: * contra-indication to MRI * 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
References
Publications (2)
- RESULTO'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. PMID 38453407
- RESULTO'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. PMID 38597586