[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100551563":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":28,"responsibleParty":45,"collaborators":10,"id":47,"slug":48,"hasResults":49,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":10,"eligibilityCriteria":53,"healthyVolunteers":49,"sex":54,"minAge":55,"maxAge":10,"enrollmentInfo":56,"targetDuration":10,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":65,"overallStatus":70,"whyStopped":10,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":75,"completionDateStruct":77,"leadSponsor":79,"locationsCount":80},{"fullName":5,"class":6},"Guy's and St Thomas' NHS Foundation Trust","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Left bundle branch pacing group",null,"Patients who underwent left bundle branch pacing",[13],"Other: Machine learning with artificial intelligence software program",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"Machine learning with artificial intelligence software program","This is a retrospective observational study using cardiac MRI, cardiac CT and x-ray fluoroscopy images to develop a 3D hybrid guidance system with the use of deep learning methods.",[9],[20,25],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"Aldo Rinaldi, MD, MBBS, FRCP, FHRS","CONTACT","0207 188 9275","aldo.rinaldi@gstt.nhs.uk",{"name":26,"role":22,"phone":23,"phoneExt":10,"email":27},"Sandra Howell, MBBS, MSc, MSc","sandra.howell@kcl.ac.uk",[29],{"facility":30,"status":10,"city":31,"state":10,"zip":32,"country":33,"countryCode":34,"cosmosGeoPoint":35,"geoPoint":40,"contacts":41},"Imperial College Nhs Healthcare Trust","London","W12 0HS","United Kingdom","UK",{"type":36,"coordinates":37},"Point",[38,39],-0.12574,51.50853,{"lat":39,"lon":38},[42],{"name":43,"role":22,"phone":10,"phoneExt":10,"email":44},"Steven Niederer, MPhil, PhD","s.niederer@imperial.ac.uk",{"type":46,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100551563","left-bundle-branch-area-pacing-3d-guidance-system-100551563",false,"NCT06461715","Left Bundle Branch Area Pacing 3D Guidance System","Left Bundle Branch Area Pacing Study Designing the 3D Hybrid Guidance System for Implantation of Cardiac Devices","Inclusion Criteria:\n\n* All patients who took part in the TACTIC-CRT (IRAS 250715) and Cardiac CT to guide Cardiac Resynchronisation Therapy (CRT) implantation (IRAS 150161) study.\n* All patients who received a LBBA pacing device from the GSTT\u002FRBH\u002FICH database in the last 10 years (from 01\u002F01\u002F2014) and had a cardiac MRI for assessment of scar.\n* All patients who are \\>18 years old.\n* Male and Female\n\nExclusion Criteria:\n\n* All patients \\\u003C18 years old\n* Patients with congenital heart disease\n* Patients who did not have a cardiac MRI before receiving a LBBA pacing device","ALL","18 Years",{"count":57,"type":58},300,"ESTIMATED","OBSERVATIONAL","The investigator's project proposes the development of a 3D hybrid guidance system which has the aim of avoidance of scar and septal perforation through targeted lead deployment via a personalised septal real time image overlay onto x-ray fluoroscopy imaging during left bundle branch pacing. The investigators hypothesise that the use of cardiac anatomy and myocardial scar distribution derived from cardiac magnetic resonance imaging (MRI) as well as 3D position of the pacing lead, may improve LBBAP lead deployment success and improve clinical outcomes by guiding the physician towards optimal lead positioning.",[62,63,64],"Left Bundle Branch Pacing","Heart Failure","Bradycardia",[66,67,68,69],"Left bundle branch pacing","Pacemaker","Artificial intelligence","Conduction system pacing","NOT_YET_RECRUITING","2024-06-14",{"date":73,"type":74},"2024-06-17","ACTUAL",{"date":76,"type":58},"2024-07-01",{"date":78,"type":58},"2025-05-31",{"name":5,"class":6},1]