[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"velocity-time-integral-measurement\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:velocity-time-integral-measurement":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":30,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":45,"leadSponsor":47,"locationsCount":50},"100553467","reliability-of-minimally-trained-operators-velocity-time-integral-measurement-guided-by-artificial-intelligence-vti-100553467",false,"NCT06486467","Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence VTI","Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence (MiniTrained-VTI)","MiniTrainedVTI","Inclusion criteria:\n\nAll patients aged 18 and more\n\nHospitalized in ICU, in whom fluid administration is considered necessary by the clinician in charge, based on the presence of hypoperfusion criterion:\n\n* \\>10% decrease in mean arterial pressure with respect to baseline value\n* Skin mottling, oliguria (\\\u003C0,5 ml\u002Fkg\u002Fh)\n* change in the level of consciousness\n* hyperlactatemia\n* decrease in central venous oxygen saturation Affiliation to a French social security system (beneficiary or legal) Participant's or next of kin non-opposition or emergency procedure\n\nExclusion Criteria:\n\nPatients with atrial fibrillation, due to the higher variability in LVOT VTI; Patient on Emergency Medical Assistance; Patient under guardianship, curatorship, deprived of liberty.","ALL","18 Years",{"count":20,"type":21},100,"ESTIMATED","INTERVENTIONAL",[24],"NA","Stroke volume is a major determinant of tissue perfusion and therefore a key parameter to monitor in patients with hemodynamic instability and hypoperfusion. Left Ventricular Outflow Tract (LVOT) Velocity-Time Integral (VTI) measured using pulsed wave Doppler is widely used as an estimation of stroke volume and should be a competence required for every Intensive Care Unit (ICU) physician. Recently, research in Artificial Intelligence (AI) applied to medical imaging constituted a breakthrough in the acquisition of images. The goal of the present study is to characterize and quantify the reliability and reproducibility of LVOT VTI measurements by comparing the measures obtained by minimally-trained operators and expert physicians, guided by UltraSight AI software.",[27,28,29],"Velocity-time Integral Measurement","Critically Ill Patients","Tissue Hypoperfusion",[31,32,33,34,35,36,37],"Velocity-time integral","Echocardiography","Artificial Intelligence","Minimally-trained operator","Reproducibility","Fluid challenge","Fluid responsiveness","RECRUITING","2026-04-20",{"date":41,"type":42},"2026-04-21","ACTUAL",{"date":44,"type":42},"2024-11-14",{"date":46,"type":21},"2026-05-15",{"name":48,"class":49},"Assistance Publique - Hôpitaux de Paris","OTHER",3]