[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100525796":3},{"organization":4,"armGroups":7,"interventions":25,"overallOfficials":10,"centralContacts":33,"locations":39,"responsibleParty":55,"collaborators":57,"id":66,"slug":67,"hasResults":68,"nctId":69,"briefTitle":70,"officialTitle":71,"acronym":10,"eligibilityCriteria":72,"healthyVolunteers":68,"sex":73,"minAge":74,"maxAge":75,"enrollmentInfo":76,"targetDuration":10,"studyType":79,"phases":10,"briefSummary":80,"conditions":81,"keywords":83,"overallStatus":88,"whyStopped":10,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"Fujian Cancer Hospital","OTHER_GOV",[8,14,18,22],{"label":9,"type":10,"description":11,"interventionNames":12},"POLE Mut",null,"The POLE gene mutation detection was performed, and the mutation Changes were classified as POLE mutation.",[13],"Diagnostic Test: next generation sequencing AND Immunohistochemical examination",{"label":15,"type":10,"description":16,"interventionNames":17},"dMMR","The mismatch repair (MMR) proteins were detected by immunohistochemistry, and the deletion of one or more proteins was classified as d-MMR subtype",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"P53abn","The expression of p53 was detected by immunohistochemistry. The abnormality of p53 protein expression (completely negative or diffusely strong positive in the nucleus) or expression location (cytoplasmic expression) was judged as p53abn, otherwise it was p53wt.",[13],{"label":23,"type":10,"description":20,"interventionNames":24},"P53wt",[13],[26],{"type":27,"name":28,"description":29,"armGroupLabels":30,"otherNames":31},"DIAGNOSTIC_TEST","next generation sequencing AND Immunohistochemical examination","First, the mismatch repair (MMR) proteins were detected by immunohistochemistry, and the deletion of one or more proteins was classified as d-MMR subtype; Then the POLE gene mutation detection was performed, and the mutation Changes were classified as POLE mutation; Finally, p53 was detected by immunohistochemistry, and p53 mutant (p53 abn) and p53 wild-type (p53wt) were distinguished.",[19,23,9,15],[32],"Magnetic resonance examination",[34],{"name":35,"role":36,"phone":37,"phoneExt":10,"email":38},"Jian Chen, Master","CONTACT","15806030009","marsz3@126.com",[40],{"facility":41,"status":10,"city":42,"state":43,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital","Fuzhou","Fujian","350014","China","CN",{"type":48,"coordinates":49},"Point",[50,51],119.30611,26.06139,{"lat":51,"lon":50},[54],{"name":35,"role":36,"phone":37,"phoneExt":10,"email":38},{"type":56,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[58,61,63],{"name":59,"class":60},"Fujian Provincial Hospital","OTHER",{"name":62,"class":60},"First Affiliated Hospital of Fujian Medical University",{"name":64,"class":65},"Gutian Hospital","UNKNOWN","100525796","mri-radiomics-combined-with-pathomics-on-the-prediction-of-molecular-classification-and-prognosis-of-endometrial-cancer-100525796",false,"NCT06126393","MRI Radiomics Combined With Pathomics on the Prediction of Molecular Classification and Prognosis of Endometrial Cancer","Study on the Prediction of Molecular Classification and Prognosis of Endometrial Cancer Using a Model Constructed by Magnetic Resonance Imaging Radiomics Combined With Pathomics","Inclusion Criteria:\n\n* •Pathologically confirmed as endometrial malignant tumor with complete pathological H＆E stained sections;\n\n  * Age ≥ 18 years and ≤ 80 years;\n  * No other malignant cancers was found;\n  * The complete immunohistochemical and second-generation sequencing results can be used for the molecular typing of ProMisE;\n  * Magnetic resonance examination was performed within 2 weeks before treatment, and there was at least one measurable lesion according to RECIST 1.1 Criteria.\n\nExclusion Criteria:\n\n* • The image quality is poor or the tumor is too small due to serious graphic artifact and degeneration, and the ROI cannot be accurately delineated;\n\n  * Patients who received any antitumor therapy before surgery;\n  * Diagnostic endometrial biopsy before MRI","FEMALE","18 Years","80 Years",{"count":77,"type":78},350,"ESTIMATED","OBSERVATIONAL","Molecular typing provides accurate information for the diagnosis, treatment and prognosis prediction of endometrial cancer, which has important clinical significance. However, due to its high cost and complicated process, it is difficult to be widely used in clinical practice. Based on the artificial intelligence method, this study fused the characteristics of MRI radiomics and pathomics, combined with the clinical pathological information, built a model to predict the molecular typing and prognosis, analyzed the biological characteristics of endometrial cancer from the multi-scale level, guided the personalized and precise diagnosis and treatment, in order to improve the prognosis of patients.",[82],"Endometrial Neoplasms",[82,84,85,86,87],"machine learning","Radiomics","Pathomics","TCGA classification","NOT_YET_RECRUITING","2023-11-13",{"date":91,"type":92},"2023-11-15","ACTUAL",{"date":94,"type":78},"2024-01-01",{"date":96,"type":78},"2027-06-30",{"name":5,"class":6},1]