[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100553443":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":7,"locations":7,"responsibleParty":8,"collaborators":10,"id":13,"slug":14,"hasResults":15,"nctId":16,"briefTitle":17,"officialTitle":17,"acronym":7,"eligibilityCriteria":18,"healthyVolunteers":15,"sex":19,"minAge":20,"maxAge":21,"enrollmentInfo":22,"targetDuration":25,"studyType":26,"phases":7,"briefSummary":27,"conditions":28,"keywords":7,"overallStatus":33,"whyStopped":7,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":7},{"fullName":5,"class":6},"Yunnan Cancer Hospital","OTHER",null,{"type":9,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[11],{"name":12,"class":6},"Affiliated Cancer Hospital of Shantou University Medical College","100553443","evaluation-of-axillary-lymph-node-metastasis-status-of-breast-cancer-based-on-pathological-images-and-virtual-staining-100553443",false,"NCT06486155","Evaluation of Axillary Lymph Node Metastasis Status of Breast Cancer Based on Pathological Images and Virtual Staining","Inclusion Criteria:\n\nPart 1:\n\nFemale patients aged 18-75 with breast cancer; Undergoing surgical excision of breast cancer and sentinel lymph node biopsy\u002Faxillary lymph node dissection; Lymph nodes with clear postoperative paraffin pathological results.\n\nPart 2:\n\nPatients aged 18-75 with one of the following cancers: thyroid, lung, esophagus, stomach, colorectal, prostate, bladder, or cervix; Undergoing surgical resection of lymph nodes; Lymph nodes with clear postoperative paraffin pathological results.\n\nPart 3:\n\nFemale patients aged 18-75 with breast cancer; Undergoing surgical excision of breast cancer and sentinel lymph node biopsy; Sentinel lymph nodes with clear postoperative paraffin pathological results.\n\nExclusion Criteria:\n\nPart 1 \u002F Part 2:\n\nLymph node diagnosis is missing; Absence of lymph node component in the slice.\n\nPart 3:\n\nSentinel lymph node diagnosis is missing; Absence of lymph node component in the frozen slice.","ALL","18 Years","75 Years",{"count":23,"type":24},2200,"ESTIMATED","5 Years","OBSERVATIONAL","The goal of this observational study is to develop an artificial intelligence model to transform unstained lymph node tissue slice images directly into stained images. The main questions it aims to answer are:\n\nCan the virtual staining model generate hematoxylin and eosin (H\\&E) and immunohistochemistry (IHC) images suitable for clinical diagnosis from unstained paraffin-embedded lymph node slice images, including those from breast axillary lymph nodes and other tumor lymph nodes?\n\nCan the virtual staining model generate H\\&E and IHC images suitable for clinical diagnosis from unstained frozen sentinel lymph node slice images from breast cancer patients?\n\nResearchers will retrospectively collect paraffin-embedded lymph node slices from tumor patients and prospectively collect frozen sentinel lymph node slices from breast cancer patients.",[29,30,31,32],"Virtual Staining","Lymph Node Metastasis","Breast Cancer","Digital Pathology","NOT_YET_RECRUITING","2024-08-10",{"date":36,"type":37},"2024-08-13","ACTUAL",{"date":39,"type":24},"2024-08",{"date":41,"type":24},"2025-12",{"name":5,"class":6}]