[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100557099":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":29,"locations":39,"responsibleParty":56,"collaborators":10,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":10,"eligibilityCriteria":64,"healthyVolunteers":60,"sex":65,"minAge":66,"maxAge":67,"enrollmentInfo":68,"targetDuration":10,"studyType":71,"phases":10,"briefSummary":72,"conditions":73,"keywords":77,"overallStatus":42,"whyStopped":10,"lastUpdateSubmitDate":80,"lastUpdatePostDateStruct":81,"startDateStruct":84,"completionDateStruct":86,"leadSponsor":88,"locationsCount":89},{"fullName":5,"class":6},"Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"SYSU cohort",null,"Patients cohort from Sun Yat-sen Memorial Hospital, as the training cohort.",[13],"Diagnostic Test: Radio-score",{"label":15,"type":10,"description":16,"interventionNames":17},"ZJCH cohort","Patients cohort from Zhejiang Cancer Hospital, as the external validation cohort.",[13],[19],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"DIAGNOSTIC_TEST","Radio-score","A score based on the LASSO regression model predicting the R0 resection of the primary debulking surgery of advanced ovarian cancer.",[9,15],[25],{"name":26,"affiliation":27,"role":28},"huaiwu Lu","The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University","PRINCIPAL_INVESTIGATOR",[30,35],{"name":31,"role":32,"phone":33,"phoneExt":10,"email":34},"Huaiwu Lu","CONTACT","86+ 18688395806","luhuaiwu@mail.sysu.edu.cn",{"name":36,"role":32,"phone":37,"phoneExt":10,"email":38},"Dongdong Ye","86+ 15218054426","yedd3@mail2.sysu.edu.cn",[40],{"facility":41,"status":42,"city":43,"state":44,"zip":45,"country":46,"countryCode":47,"cosmosGeoPoint":48,"geoPoint":53,"contacts":54},"The Sun Yat-sen Memorial Hospital of Sun Yat-sen University","RECRUITING","Guangzhou","Guangdong","520120","China","CN",{"type":49,"coordinates":50},"Point",[51,52],113.25,23.11667,{"lat":52,"lon":51},[55],{"name":26,"role":32,"phone":33,"phoneExt":10,"email":34},{"type":57,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100557099","satisfactory-debulking-prediction-model-for-advanced-ovarian-cancer-based-on-pet-ct-image-data-100557099",false,"NCT06533709","Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data","Satisfactory Debulking Prediction Model for Advanced Ovarian Cancer Based on PET-CT Image Data and Its Clinical Application","Inclusion Criteria:\n\n* Pathological type is epithelial ovarian cancer.\n* Underwent primary debulking surgery at our hospital.\n* Postoperative pathological staging is FIGO stage IIB or above.\n* Clinical, surgical, and pathological data of the patient are mostly complete.\n\nExclusion Criteria:\n\n* Pathological type is non-epithelial ovarian cancer.\n* Underwent fertility-preserving surgery or palliative surgery.\n* Presence of infection during PET\u002FCT image acquisition.\n* Concurrent other malignant tumors.\n* Severe diseases of other major organs.","FEMALE","18 Years","80 Years",{"count":69,"type":70},146,"ESTIMATED","OBSERVATIONAL","This project intends to conduct a multicenter retrospective study to evaluate the satisfactory reduction of advanced ovarian cancer using PET-CT images, and explore the correlation between molecular biological characteristics and clinical characteristics of ovarian cancer through high-throughput sequencing genomics combined with radiomics.",[74,75,76],"Ovarian Cancer","Image","Predation",[74,78,79],"PET-CT Image","Debulking Prediction Model","2024-07-30",{"date":82,"type":83},"2024-08-01","ACTUAL",{"date":85,"type":83},"2024-06-01",{"date":87,"type":70},"2026-05-31",{"name":5,"class":6},1]