[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100573839":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":18,"responsibleParty":42,"collaborators":7,"id":46,"slug":7,"hasResults":47,"nctId":48,"briefTitle":49,"officialTitle":50,"acronym":7,"eligibilityCriteria":51,"healthyVolunteers":47,"sex":52,"minAge":53,"maxAge":54,"enrollmentInfo":55,"targetDuration":58,"studyType":59,"phases":7,"briefSummary":60,"conditions":61,"keywords":63,"overallStatus":21,"whyStopped":7,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":78},{"fullName":5,"class":6},"The First Affiliated Hospital with Nanjing Medical University","OTHER",null,[9,14],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Shao Pengfei, Professor","CONTACT","+8613851925825","spf032@hotmail.com",{"name":15,"role":11,"phone":16,"phoneExt":7,"email":17},"Miao Haoqi, Postgraduate","+8613276636957","mhq@stu.njmu.edu.cn",[19,32],{"facility":20,"status":21,"city":22,"state":23,"zip":24,"country":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":7},"The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)","RECRUITING","Nanjing","Jiangsu","210000","China",{"type":27,"coordinates":28},"Point",[29,30],118.77778,32.06167,{"lat":30,"lon":29},{"facility":20,"status":33,"city":22,"state":23,"zip":34,"country":25,"cosmosGeoPoint":35,"geoPoint":37,"contacts":38},"NOT_YET_RECRUITING","210036",{"type":27,"coordinates":36},[29,30],{"lat":30,"lon":29},[39,40],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},{"name":15,"role":11,"phone":16,"phoneExt":41,"email":7},"mhq@stu.njmu.e",{"type":43,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","Shao Pengfei","chief physician","100573839",false,"NCT06751498","The Value of a Convolutional Neural Network-Based Renal Artery Perfusion Model in Predicting Renal Function After Partial Nephrectomy: A Prospective Study","The Value of a Renal Artery Perfusion Model Based on Convolutional Neural Network in Predicting Renal Function After Partial Nephrectomy: A Prospective, Single-Center Study","Inclusion Criteria:\n\n* people with stage cT1 renal tumors confirmed by preoperative CT or MR\n* people who are proposed to undergoing partial nephrectomy\n* localized renal tumors without lymph node and distant metastases as defined by NCCN guidelines\n* ECOG score of 0 or 1\n* Life expectancy greater than 10 years\n\nExclusion Criteria:\n\n* people with surgically unresectable lesions\n* people with Abnormal preoperative renal function, eGFR(estimated by CKD-EPI)\\\u003C90ml\u002Fmin\u002F1.73m2\n* people who receive preoperative molecular targeted therapy, immunotherapy, chemotherapy\n* people with any contraindications to surgery\n* people who convert to radical nephrectomy during surgery\n* people who receive molecular targeted therapy, immunotherapy or chemotherapy during the postoperative follow-up period\n* people with serious systemic disease","ALL","18 Years","80 Years",{"count":56,"type":57},300,"ESTIMATED","1 Year","OBSERVATIONAL","The goal of this observational study is to develop a CNN-based machine module to predict postoperative fractional renal function in people who are proposed to undergo partial nephrectomy. The main question it aims to answer is:\n\n• Does this machine learning model accurately predict renal function after partial nephrectomy?",[62],"Renal Cell Cancer",[64,65,66,67,68],"Articicial Intelligence","convolutional neural network","renal arterial perfusion model","partial nephrectomy","fractional renal function","2025-04-14",{"date":71,"type":72},"2025-04-17","ACTUAL",{"date":74,"type":72},"2025-01-01",{"date":76,"type":57},"2028-01-01",{"name":44,"class":6},2]