[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100447115":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":13,"locations":21,"responsibleParty":43,"collaborators":46,"id":52,"slug":53,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":7,"eligibilityCriteria":58,"healthyVolunteers":54,"sex":59,"minAge":60,"maxAge":61,"enrollmentInfo":62,"targetDuration":7,"studyType":65,"phases":7,"briefSummary":66,"conditions":67,"keywords":69,"overallStatus":24,"whyStopped":7,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Tata Memorial Hospital","OTHER_GOV",null,[9],{"name":10,"affiliation":11,"role":12},"Supriya Sastri (nee Chopra), MD","Tata Memorial Centre, The Advanced Centre for Treatment, Research and Education in Cancer (ACTREC)","PRINCIPAL_INVESTIGATOR",[14,19],{"name":10,"role":15,"phone":16,"phoneExt":17,"email":18},"CONTACT","02227405000","5113","supriyasastri@gmail.com",{"name":10,"role":15,"phone":16,"phoneExt":17,"email":20},"schopra@actrec.gov.in",[22],{"facility":23,"status":24,"city":25,"state":26,"zip":27,"country":28,"countryCode":29,"cosmosGeoPoint":30,"geoPoint":35,"contacts":36},"Advanced Centre of Treatment Research and Education In Cancer,Tata Memorial Centre","RECRUITING","Navi Mumbai","Maharashtra","410210","India","IN",{"type":31,"coordinates":32},"Point",[33,34],73.01582,19.03681,{"lat":34,"lon":33},[37,41],{"name":38,"role":15,"phone":39,"phoneExt":40,"email":20},"Dr Supriya Chopra, MD","91-22-27405000","5491",{"name":42,"role":12,"phone":7,"phoneExt":7,"email":7},"Supriya Chopra, MD",{"type":12,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"Supriya Sastri (chopra)","Professor, Radiation Oncology",[47,50],{"name":48,"class":49},"Bhabha Atomic Research Centre","OTHER",{"name":51,"class":49},"Erasmus Medical Center","100447115","development-of-clinically-high-efficient-platforms-for-individualised-treatment-of-cervix-cancer-100447115",false,"NCT05102240","Development of Clinically High Efficient Platforms for Individualised Treatment of Cervix Cancer","Developing Clinical High Efficiency Platforms for Individualised Treatment Through Integration of Advanced Radiation Technology, Quantitative Imaging and Molecular Biology and Machine Learning for Treatment of Cervix Cancer.","Inclusion Criteria:\n\nFor Aim 1 and Aim 3:\n\n* Patients treated within ongoing and completed clinical trials of chemoradiation and brachytherapy for cervix cancer with access to MRI\u002FCT images at the time of diagnosis and brachytherapy For Aim 2\n* Patients undergoing postoperative or definitive radiotherapy and treated within trials of postoperative or definitive RT.\n\nExclusion Criteria:\n\n1. Lack of disease or toxicity outcomes.\n2. Lack of images in the hospital database.","FEMALE","18 Years","90 Years",{"count":63,"type":64},1800,"ESTIMATED","OBSERVATIONAL","Retrospective study utilizing patient data to develop and validate Machine Learning application. Available imaging data sets of patients who have completed treatment will be used to develop Normal tissue complication probability and Tumour control probability\n\nHypothesis Integrating existing radiation treatment information, quantitative imaging and patient outcome data from completed and ongoing clinical trials will allow development of knowledge based systems for efficient treatment delivery and allow selection of patients for intensified treatment approaches in cervix cancer.",[68],"Cervix Cancer",[70,71,72,73],"Advanced Radiation Technology","Quantitative Imaging","Molecular Biology","Machine Learning","2026-02-18",{"date":76,"type":77},"2026-02-20","ACTUAL",{"date":79,"type":77},"2022-02-24",{"date":81,"type":64},"2026-06-30",{"name":5,"class":6},1]