Clinical Trial: A MULTICENTER STUDY TO OPTIMIZE MICROEMBOLIC SIGNAL CLASSIFICATION BASED ON DOUBLE-BLIND MULTIPARAMETRIC ASSESSMENT BY HUMAN EXPERTS USING AN UNIVERSAL GRAPHICAL INTERFACE [MESOMEGA]

U.S., Sept. 16 -- ClinicalTrials.gov registry received information related to the study (NCT07172165) titled 'A MULTICENTER STUDY TO OPTIMIZE MICROEMBOLIC SIGNAL CLASSIFICATION BASED ON DOUBLE-BLIND MULTIPARAMETRIC ASSESSMENT BY HUMAN EXPERTS USING AN UNIVERSAL GRAPHICAL INTERFACE [MESOMEGA]' on June 27.

Brief Summary: Microembolic signals (MES) is a powerful predictor of future embolic events. This study aims to develop and validate a accurate model of classification of MES obtained by transcranial Doppler. monitoring of However, MES detection is technically demanding and requires expert interpretation. By providing a reproducible framework for MES interpretation, this work aims to facilitate MES integration into future clinical trials an...