[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"3d-reconstruction\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:3d-reconstruction":61},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,44],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":29,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":4},"100633611","application-of-3d-reconstruction-for-preoperative-strategy-of-locally-advanced-colon-cancer-100633611",false,"NCT07528937","Application of 3D Reconstruction for Preoperative Strategy of Locally Advanced Colon Cancer","Randomized Multicenter Study Protocol: Application of 3D Reconstruction for Preoperative Strategy of Locally Advanced Colon Cancer","Inclusion Criteria:\n\n1. Patients of both sexes, aged ≥18 years.\n2. Adenocarcinoma of the right, left, sigmoid and recto-sigmoid junction that have cT3 or cT4a\u002Fb according to the eighth TNM edition of the American Joint Committee on Cancer (AJCC). Pre-treatment diagnosis by imaging (CT) test.\n3. Lymph node extension: cN0, the presence of cN1\u002F2 according to AJCC TNM 8th edition is allowed as long as they can be resected. Pretreatment diagnosis by imaging (CT) test.\n4. Patients who access and sign informed consent for the surgical intervention.\n\nExclusion Criteria:\n\n1. Suspected carcinomatosis on preoperative CT or intraoperative finding\n2. Suspected distant metastasis on preoperative CT or intraoperative finding\n3. Patients with tumors with infiltration considered to be unresectable (pre-surgical or intraoperatively), since the anatomical-pathological analysis will not be available.","ALL","18 Years",{"count":19,"type":20},168,"ESTIMATED","INTERVENTIONAL",[23],"NA","The aim of this study is to assess the usefulness of a mathematical model of three-dimensional image process and reconstuction (3D-IPR) as a surgical planner in locally advanced colon cancer. In addition to comparing the diagnostic accuracy of this planner with that of the CT regarding the infiltration of neighbouring structures.",[26,27,28],"Colon Neoplasms","Locally Advanced Colon Cancer","3D Reconstruction",[30,31,28],"Locally advanced colon cancer","Colon neoplasm","NOT_YET_RECRUITING","2026-04-16",{"date":35,"type":36},"2026-04-21","ACTUAL",{"date":38,"type":20},"2026-05-01",{"date":40,"type":20},"2031-05-01",{"name":42,"class":43},"Fundació d'investigació Sanitària de les Illes Balears","OTHER_GOV",{"id":45,"slug":46,"hasResults":11,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":4,"eligibilityCriteria":50,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":51,"targetDuration":4,"studyType":21,"phases":53,"briefSummary":54,"conditions":55,"keywords":4,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":65,"completionDateStruct":67,"leadSponsor":69,"locationsCount":72},"100615823","3d-liver-volumetry-100615823","NCT07297615","3D Liver Volumetry","Accuracy of Individualized 3D Reconstruction in Predicting Liver Resection Volume: A Prospective Study","Inclusion Criteria:\n\n* Adult patients (≥18 years) undergoing open or minimally invasive major liver resection at the Clinical Division of General, Visceral and Transplant Surgery who provide written informed consent prior to participation will be included.\n\nExclusion Criteria:\n\n* Patients unable to provide informed consent will be excluded.\n* Minor resections.\n* Contraindications to MRI.",{"count":52,"type":20},25,[23],"The study aims to improve preoperative evaluation of liver resection volume in patients undergoing major hepatectomies. Accurate prediction of the planned resection and the future liver remnant (FLR) is critical to minimize the risk of postoperative liver failure, which is associated with increased morbidity and mortality. Conventional imaging-based volumetry may have limited accuracy. This study investigates the use of individualized 3D liver models combined to enhance visualization and volumetric analysis of liver anatomy and resection boundaries.\n\nPatients are recruited in the liver outpatient clinic and, upon consent, preoperative 3D models are created using Medics 3D. During surgery, the planned resection is guided by the individualized 3D models. Postoperatively, the resected specimen undergoes CT-based volumetry to compare the predicted resection volume from the 3D model with the actual volume. Routine postoperative follow-up is conducted. The study aims to optimize surgical planning, enhance the accuracy of future liver remnant prediction.",[56,57,58,59,60,61],"Liver Surgery","Liver Cancer","Surgical Planning","Liver","Volumetric Analysis","3D-reconstruction","2026-02-13",{"date":64,"type":36},"2026-02-17",{"date":66,"type":20},"2026-04-01",{"date":68,"type":20},"2028-09-30",{"name":70,"class":71},"Medical University of Graz","OTHER",1]