[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100594494":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":12,"centralContacts":24,"locations":34,"responsibleParty":59,"collaborators":63,"id":66,"slug":12,"hasResults":67,"nctId":68,"briefTitle":69,"officialTitle":70,"acronym":12,"eligibilityCriteria":71,"healthyVolunteers":67,"sex":72,"minAge":73,"maxAge":74,"enrollmentInfo":75,"targetDuration":12,"studyType":78,"phases":79,"briefSummary":81,"conditions":82,"keywords":84,"overallStatus":52,"whyStopped":12,"lastUpdateSubmitDate":88,"lastUpdatePostDateStruct":89,"startDateStruct":92,"completionDateStruct":94,"leadSponsor":96,"locationsCount":97},{"fullName":5,"class":6},"The First Affiliated Hospital with Nanjing Medical University","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Conventional Surgical Approaches","NO_INTERVENTION","perform conventional laparoscopic or robotic-assisted surgical approaches",null,{"label":14,"type":15,"description":16,"interventionNames":17},"AI model group","EXPERIMENTAL","Use the AI-model to locate kidney and tumour, assisting surgeon with the operation",[18],"Procedure: an AI-based real-time image-guided kidney model system",[20],{"type":21,"name":22,"description":16,"armGroupLabels":23,"otherNames":12},"PROCEDURE","an AI-based real-time image-guided kidney model system",[14],[25,30],{"name":26,"role":27,"phone":28,"phoneExt":12,"email":29},"Pengfei Shao, Professor","CONTACT","+8613851925825","spf032@hotmail.com",{"name":31,"role":27,"phone":32,"phoneExt":12,"email":33},"Haoqi Miao, Postgraduate","+8613276636957","mhq@stu.njmu.edu.cn",[35,51],{"facility":36,"status":37,"city":38,"state":39,"zip":40,"country":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)","NOT_YET_RECRUITING","Nanjing","Jiangsu","210036","China",{"type":43,"coordinates":44},"Point",[45,46],118.77778,32.06167,{"lat":46,"lon":45},[49,50],{"name":26,"role":27,"phone":28,"phoneExt":12,"email":29},{"name":31,"role":27,"phone":32,"phoneExt":12,"email":33},{"facility":36,"status":52,"city":38,"state":39,"zip":40,"country":41,"cosmosGeoPoint":53,"geoPoint":55,"contacts":56},"RECRUITING",{"type":43,"coordinates":54},[45,46],{"lat":46,"lon":45},[57],{"name":26,"role":27,"phone":58,"phoneExt":12,"email":29},"+86 13851925825",{"type":60,"investigatorFullName":61,"investigatorTitle":62,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"SPONSOR_INVESTIGATOR","Shao Pengfei","chief physician",[64],{"name":65,"class":6},"Southeast University, China","100594494",false,"NCT07020169","Using 3D Kidney Model Based on Artificial Intelligence to Assist Partial Nephrectomy: A Prospective Validation Study","Artificial Intelligence-Driven 3D Kidney Model for Real-Time Augmented Reality and Surgical Navigation in Minimally Invasive (Robotic\u002FLaparoscopic) Partial Nephrectomy: A Prospective Validation Study","Inclusion Criteria:\n\n* Ages 18-80 years, regardless of gender\n* Written informed consent obtained from the patient or legally authorized representative after full protocol disclosure\n* Preoperative imaging (CT\u002FMRI) confirming clinical stage T1a or select T1b renal tumors suitable for partial nephrectomy (R.E.N.A.L. nephrometry score ≤10)\n* Localized renal tumors without lymph node\u002Fdistant metastasis per NCCN Guidelines® (v2023)\n* Elective minimally invasive partial nephrectomy (laparoscopic\u002Frobotic) after comprehensive surgical counseling\n\nExclusion Criteria:\n\n* Multifocal renal tumors (bilateral or unilateral)\n* Prior systemic anticancer therapy (targeted agents\u002Fimmunotherapy\u002Fchemotherapy) within 6 months\n* Absolute surgical contraindications (e.g., ASA class ≥IV, uncontrolled coagulopathy)\n* Intraoperative conversion to radical nephrectomy or open approach\n* Postoperative adjuvant therapy during protocol-defined follow-up (12 months)\n* Major comorbidities (e.g., NYHA class III\u002FIV heart failure, eGFR \\\u003C30 mL\u002Fmin\u002F1.73m²) affecting outcome assessment\n* Concurrent enrollment in interventional clinical trials\n* Investigator-determined ineligibility based on risk-benefit analysis","ALL","18 Years","80 Years",{"count":76,"type":77},232,"ESTIMATED","INTERVENTIONAL",[80],"NA","The goal of this study is to develop a real-time artificial intelligence-driven 3D kidney model to assist robotic or laparoscopic partial nephrectomy:\n\n• Can this AI-powered model optimize the workflow of partial nephrectomy and enhance surgical benefits?",[83],"Renal Cell Cancer",[85,86,87],"partial nephrectomy","Articicial Intelligence","Intraoperative Real-Time Navigation","2025-06-12",{"date":90,"type":91},"2025-06-13","ACTUAL",{"date":93,"type":91},"2025-05-01",{"date":95,"type":77},"2027-03-01",{"name":61,"class":6},2]