[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100541535":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":28,"locations":33,"responsibleParty":51,"collaborators":53,"id":60,"slug":61,"hasResults":62,"nctId":63,"briefTitle":64,"officialTitle":65,"acronym":66,"eligibilityCriteria":67,"healthyVolunteers":62,"sex":68,"minAge":69,"maxAge":10,"enrollmentInfo":70,"targetDuration":10,"studyType":73,"phases":10,"briefSummary":74,"conditions":75,"keywords":10,"overallStatus":36,"whyStopped":10,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":86},{"fullName":5,"class":6},"Fondazione Policlinico Universitario Agostino Gemelli IRCCS","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Retrospective cohort",null,"Patients affected by High Grade Seruous Ovarian Cancer with mesenteric infiltration confirmed by diagnostic laparoscopy, from January 2021 to December 2023",[13],"Diagnostic Test: Computed Tomography",{"label":15,"type":10,"description":16,"interventionNames":17},"Prospective cohort","Patients affected by High Grade Seruous Ovarian Cancer with mesenteric infiltration confirmed by diagnostic laparoscopy",[13],[19],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"DIAGNOSTIC_TEST","Computed Tomography","Computed Tomography done according to Clinical Practice to assess mesenteric involvment",[15,9],[25],{"name":26,"affiliation":5,"role":27},"Camilla Panico, Dr","PRINCIPAL_INVESTIGATOR",[29],{"name":26,"role":30,"phone":31,"phoneExt":10,"email":32},"CONTACT","+390630155701","camilla.panico@policlinicogemelli.it",[34],{"facility":35,"status":36,"city":37,"state":10,"zip":38,"country":39,"countryCode":40,"cosmosGeoPoint":41,"geoPoint":46,"contacts":47},"Advanced Radiology Center","RECRUITING","Roma","00168","Italy","IT",{"type":42,"coordinates":43},"Point",[44,45],11.10642,44.99364,{"lat":45,"lon":44},[48],{"name":49,"role":30,"phone":50,"phoneExt":10,"email":32},"Camilla Panico, MD","+390630158637",{"type":52,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[54,56,58],{"name":55,"class":6},"Danube University Krems",{"name":57,"class":6},"Institut du Cancer de Montpellier - Val d'Aurelle",{"name":59,"class":6},"Ente Ospedaliero Cantonale, Ticino, Switzerland","100541535","mesenteric-infiltration-in-ovarian-cancer-100541535",false,"NCT06331130","Mesenteric Infiltration in Ovarian Cancer","CT Detected Tumour Infiltration Patterns of the Mesentery in High Grade Ovarian Carcinoma (HGSOC) Patients, Their Role in Treatment Planning and Outcome Prediction and How Machine Learning Can be Applied to Identify Them.","MIO","Inclusion Criteria:\n\n1. Women with confirmed HGSOC wiht mesenteric involvment\n2. Age \\> 18 years\n3. FIGO STAGE IIIB-IV\n4. Primary diagnosis\n5. Signed informed consent\n\nExclusion Criteria:\n\n1. Non-serous high grade epithelial ovarian cancer (serous low grade, mucinous, clear cell carcinoma, endometrioid or non-epithelial ovarian cancer)\n2. Early stage disease (I and II stage)\n3. CT scan not available\n4. Non-primary diagnosis or patient subjected to neoadjuvant chemotherapy","FEMALE","18 Years",{"count":71,"type":72},510,"ESTIMATED","OBSERVATIONAL","To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an optimal debulking surgery and predicting the development of resistance to platinum based chemotherapeutic agents.",[76],"Ovary Cancer","2025-03-11",{"date":79,"type":80},"2025-03-12","ACTUAL",{"date":82,"type":80},"2024-03-01",{"date":84,"type":72},"2025-12-31",{"name":5,"class":6},1]