[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100639321":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":10,"centralContacts":26,"locations":32,"responsibleParty":50,"collaborators":52,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":10,"eligibilityCriteria":62,"healthyVolunteers":63,"sex":64,"minAge":65,"maxAge":10,"enrollmentInfo":66,"targetDuration":10,"studyType":69,"phases":10,"briefSummary":70,"conditions":71,"keywords":10,"overallStatus":73,"whyStopped":10,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Philips Clinical & Medical Affairs Global","INDUSTRY",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Group B",null,"Scanning parameters 100kVp, DRI=24",[13],"Device: Non-Interventional Study",{"label":15,"type":10,"description":16,"interventionNames":17},"Group A","Scanning parameters: 120kVp, DRI=30",[13],[19,24],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"DEVICE","Non-Interventional Study","This is an observational study",[9],{"type":20,"name":21,"description":22,"armGroupLabels":25,"otherNames":10},[15],[27],{"name":28,"role":29,"phone":30,"phoneExt":10,"email":31},"Jie Liu","CONTACT","+863613852079","liujieict@163.com",[33],{"facility":34,"status":10,"city":35,"state":36,"zip":10,"country":37,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"Zhengzhou Universtidy 1st Affiliated Hospital","Zhengzhou","Henan","China","CN",{"type":40,"coordinates":41},"Point",[42,43],113.64861,34.75778,{"lat":43,"lon":42},[46],{"name":47,"role":29,"phone":48,"phoneExt":10,"email":49},"Hua Wen Xue","0371-66295624","zdyfygcp@163.com",{"type":51,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[53],{"name":54,"class":55},"The First Affiliated Hospital of Zhengzhou University","OTHER","100639321","spectral-precise-image-study-for-coronary-artery-100639321",false,"NCT07620457","Spectral Precise Image Study for Coronary Artery","Image Quality Evaluation of Coronary CT Angiography Using Deep Learning-Based Spectral Precise Image Reconstruction","Inclusion Criteria:\n\n1. Datasets from Patients who underwent spectral coronary CT angiography (CCTA).\n2. Datasets from study participants with age ≥ 18 years old.\n3. Scan parameters that meet the criteria defined in the 5.4.3.\n\nExclusion Criteria:\n\n1. The clinical data information is considered incomplete after evaluation by the investigator.\n2. The investigator determined that poor image quality (e.g. obvious artifacts, missing critical scan layers) would not satisfy post-processing analysis.\n3. Data of patients deemed inappropriate for inclusion after evaluation by the investigator.",true,"ALL","18 Years",{"count":67,"type":68},200,"ESTIMATED","OBSERVATIONAL","This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as part of their routine clinical evaluation will be included.",[72],"Cardiac","NOT_YET_RECRUITING","2026-05-27",{"date":76,"type":77},"2026-06-02","ACTUAL",{"date":79,"type":68},"2026-06-01",{"date":81,"type":68},"2026-12-31",{"name":5,"class":6},1]