[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652659":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":22,"centralContacts":23,"locations":33,"responsibleParty":51,"collaborators":22,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":22,"eligibilityCriteria":61,"healthyVolunteers":57,"sex":62,"minAge":63,"maxAge":22,"enrollmentInfo":64,"targetDuration":22,"studyType":67,"phases":68,"briefSummary":70,"conditions":71,"keywords":22,"overallStatus":36,"whyStopped":22,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"Fudan University","OTHER",[8,13],{"label":9,"type":6,"description":10,"interventionNames":11},"ARM1: AI-empowered AIO WBI","Evaluates the feasibility, safety, and patient experiences of the AI-empowered AIO workflow in breast cancer patients undergoing whole-breast irradiation (WBI) without regional nodal involvement.",[12],"Other: Radiotherapy procedure",{"label":14,"type":6,"description":15,"interventionNames":16},"ARM2: Expanded-Scenario AIO RT","Evaluates the feasibility, safety, and patient experiences of the AI-empowered AIO workflow in breast cancer patients with broader radiotherapy indications, including breast\u002Fchest wall irradiation with or without regional nodal radiotherapy.",[12],[18],{"type":6,"name":19,"description":20,"armGroupLabels":21,"otherNames":22},"Radiotherapy procedure","The workflow relies on specialized convolutional neural networks for automated segmentation and dose-prediction auto-planning. These breast cancer models were trained on 285 historical institutional cases spanning radical mastectomy and breast-conserving surgery over five years. Auto-delineated structures include the clinical target volume, regional lymph nodes (if involved), tumor bed (identified by surgical clips), heart, bilateral lungs, unaffected breast, spinal cord, esophagus, thyroid, and affected humeral head. These contours guide dose prediction to generate deliverable tangential arc plans via clinical-goal-guided automated optimization in the treatment planning system. To adapt to the on-couch treatment scenario, models were validated on retrospective data and offline routines to maximize target delineation accuracy and the first-approval rate of auto-plans.",[9,14],null,[24,29],{"name":25,"role":26,"phone":27,"phoneExt":22,"email":28},"Xiaoli Yu, MD, PhD","CONTACT","+86-021-64175590","xiaoliyu@fudan.edu.cn",{"name":30,"role":26,"phone":31,"phoneExt":22,"email":32},"Xiaofang Wang, MD, PhD","+86 18017317247","xiaofang0708@yeah.net",[34],{"facility":35,"status":36,"city":37,"state":38,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Fudan University Shanghai Cancer Center","RECRUITING","Shanghai","Shanghai Municipality","200032","China","CN",{"type":43,"coordinates":44},"Point",[45,46],121.45806,31.22222,{"lat":46,"lon":45},[49],{"name":50,"role":26,"phone":31,"phoneExt":22,"email":32},"Xiaofang Wang Wang",{"type":52,"investigatorFullName":53,"investigatorTitle":54,"investigatorAffiliation":5,"oldNameTitle":22,"oldOrganization":22},"PRINCIPAL_INVESTIGATOR","Xiaoli Yu","Professor","100652659","application-of-ct-linac-based-all-in-one-one-stop-radiotherapy-in-breast-cancer-100652659",false,"NCT07776301","Application of CT-Linac-Based \"All-in-One\" One-Stop Radiotherapy in Breast Cancer","Application of CT-Linac-Based \"All-in-One\" One-Stop Radiotherapy in All-Scenario Breast Cancer Radiotherapy: A Prospective Clinical Study","Inclusion Criteria:\n\n* Histologically or pathologically confirmed breast cancer with definitive indications for radiotherapy (preoperative, postoperative, or radical)\n* ECOG performance status of 0-2\n* Able to remain still and supine on the treatment couch for up to 30 minutes\n* Provision of signed, written informed consent\n* Able to comply with daily follow-ups and blood sample collections\n\nExclusion Criteria:\n\n* Palliative radiotherapy for concurrent distant metastasis\n* Incomplete or ongoing chemotherapy\n* Synchronous multiple primary tumors\n* Current pregnancy or lactation\n* Prior history of radiotherapy to the ipsilateral breast, chest wall, thorax, or regional lymph nodes\n* Severe non-malignant comorbidities (e.g., cardiovascular or pulmonary diseases, systemic lupus erythematosus, scleroderma) resulting in a short life expectancy or inability to tolerate radical radiotherapy\n* Inability or unlikelihood to comply with study follow-up\n* Inability or unwillingness to provide written informed consent","ALL","18 Years",{"count":65,"type":66},225,"ESTIMATED","INTERVENTIONAL",[69],"NA","This study aims to evaluate and report the clinical adverse events and dosimetric parameters in breast cancer patients undergoing an \"all-in-one (AIO)\" one-stop, fully automated radiotherapy workflow. By systematically tracking these clinical and physical metrics, we seek to establish a standardized clinical protocol for AIO radiotherapy in breast cancer management.",[72],"Breast Cancer","2026-08-19",{"date":75,"type":76},"2026-08-20","ACTUAL",{"date":78,"type":76},"2021-08-27",{"date":80,"type":66},"2028-11-27",{"name":5,"class":6},1]