[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"preoperative-planning\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:preoperative-planning":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,47],{"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":4,"briefSummary":22,"conditions":23,"keywords":29,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100592489","imaging-comparison-for-the-preoperative-planning-and-diagnosis-of-die-a-multicenter-retrospective-study-100592489",false,"NCT06994091","Imaging Comparison for the Preoperative Planning and Diagnosis of DIE: a Multicenter Retrospective Study.","The Added Value of (Standard) Magnetic Resonance Imaging Compared to Transvaginal Ultrasound for the Preoperative Planning and Diagnosis of Deep Infiltrating Endometriosis: a Multicenter Retrospective Study.","Inclusion Criteria:\n\n* All patients who underwent preoperative imaging at AZ Sint-Jan AV and Ziekenhuis Oost-Limburg (ZOL) between October 2021 and December 2024, TVS with or without complementary MR followed by therapeutic surgery as part of DIE.\n\nExclusion Criteria:\n\n* Performing imaging, TVS with or without additional MR, by an operator without specific experience in the field.\n* Lack of a TVS report diagnosing DIE.\n* Preoperative diagnosis of only superficial endometriosis and\u002For endometriomas without DIE.\n* Performance of surgery by a surgeon without specific experience in the field.\n* Lack of a surgical report that correctly describes all DIE lesions.","FEMALE","18 Years",{"count":19,"type":20},200,"ESTIMATED","OBSERVATIONAL","Several centers in Belgium use both transvaginal ultrasound (TVS) and magnetic resonance imaging (MRI) for the preoperative diagnosis of deep infiltrating endometriosis (DIE), while other centers rely almost exclusively on TVS. From the perspective of both the patient and the endometriosis care team, it is not primarily important that every individual lesion is mapped perfectly preoperatively, but rather that all lesions impacting clinical management and surgical planning are accurately detected. This is particularly crucial when a multidisciplinary approach is required, involving a urologist for bladder lesions and\u002For an abdominal surgeon for invasive rectosigmoid lesions. Moreover, providing the patient with thorough preoperative counseling is essential, and this is, of course, determined by the preoperative findings and the type of planned surgical procedure.\n\nIn this study, we first assess the diagnostic performance of TVS in the preoperative diagnosis of DIE. As a secondary objective, we evaluate the added value of MRI compared to TVS for preoperative surgical planning in patients who also underwent an MRI examination.",[24,25,26,27,28],"Deep Endometriosis","Surgery","Transvaginal Ultrasound","MRI","Preoperative Planning",[30,31,32,27,33],"deep endometriosis","surgery","tranvaginal ultrasound","preoperative planning","NOT_YET_RECRUITING","2025-05-20",{"date":37,"type":38},"2025-05-29","ACTUAL",{"date":40,"type":20},"2025-06-01",{"date":42,"type":20},"2025-12-12",{"name":44,"class":45},"Ziekenhuis Oost-Limburg","OTHER",1,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":52,"acronym":4,"eligibilityCriteria":53,"healthyVolunteers":11,"sex":54,"minAge":17,"maxAge":55,"enrollmentInfo":56,"targetDuration":4,"studyType":58,"phases":59,"briefSummary":62,"conditions":63,"keywords":4,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":4},"100586108","phase-2-sh-lps-system-in-preoperative-planning-for-liver-resection-100586108","NCT06911086","SH-LPS System in Preoperative Planning for Liver Resection","SH-LPS System in Preoperative Planning for Liver Resection: a Randomized Controlled Trial","Inclusion Criteria:\n\n* 18-80 years old;\n* Patients with a resectable tumor in the liver;\n* Eastern Cooperative Oncology Group Performance status score: 0;\n* Child-Pugh classification: A;\n* The Laboratory test results meet the following criteria and patients can tolerate surgery: Haemoglobin≥90g\u002FL, Neutrophil count≥1.5×10⁹\u002FL, Platelet count≥100×10⁹\u002FL, Aspartate or alanine aminotransferase≤5 upper limits of normal(ULN）, alkaline phosphatase≤2.5 ULN, Serum albumin≥30g\u002FL, serum creatinine\\\u003C1.5 ULN, International normalized ratios（INR）≤2 or rothrombin time（PT）exceed ULN≤6s, Creatinine clearance≥60 mL\u002Fmin.\n\nExclusion Criteria:\n\n* Patients with extra-hepatic metastasis;\n* Anti-cancer therapy or surgery such as radiotherapy, radiofrequency ablation in 28 days prior to the surgery;\n* Clinically significant bleeding or bleeding tendencies within 3 months prior to enrollment or on thrombolytic or anticoagulant therapy;\n* Severe lung disease (eg, acute lung disease, pulmonary fibrosis that affects lung function, interstitial lung disease), uncontrolled diabetes mellitus (fasting blood glucose ≥10 mmol\u002FL);\n* There are other unsuitable candidates for clinical trials, such as mental illness or alcohol dependence.","ALL","80 Years",{"count":57,"type":20},100,"INTERVENTIONAL",[60,61],"PHASE2","PHASE3","Effective preoperative planning and real-time intraoperative guidance are crucial for performing accurate liver resections. To address this need, the researchers have designed advanced 3D-printed liver models using a self-healing elastomer, created through the copolymerization of 4-acryloylmorpholine (ACMO) and methoxy poly(ethylene glycol) acrylate (mPEGA). These models demonstrate outstanding healing properties, swiftly restoring their structure within minutes at room temperature, and quickly recovering after incisions.\n\nIn previous studies, Professor Yuhua Zhang, the project applicant, collaborated with a team from Zhejiang University to develop a 3D-printed liver model that is self-healing and reusable for repeated cutting. They preliminarily explored the feasibility of applying this model for preoperative planning and surgical training for liver surgeries. The results were published in Nature Communications (Lu et al., Nat Commun. Dec 19;14(1):8447). Building on this, the applicant intends to establish a personalized liver surgery planning system (Personalized Liver Surgery Planning System Based on High-Fidelity 3D Printed Self-Healing Liver Models, SH-LPS), which will assess, through a randomized controlled trial, the value of SH-LPS in improving liver surgery efficiency and safety.",[64,65,28],"Liver Tumor; Surgery","3D Printing","2025-04-02",{"date":68,"type":38},"2025-04-04",{"date":70,"type":20},"2025-04-15",{"date":72,"type":20},"2026-06-01",{"name":74,"class":45},"Zhejiang Cancer Hospital"]