[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100473832":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":18,"responsibleParty":51,"collaborators":7,"id":54,"slug":55,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":59,"eligibilityCriteria":60,"healthyVolunteers":61,"sex":62,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":7,"studyType":68,"phases":7,"briefSummary":69,"conditions":70,"keywords":72,"overallStatus":20,"whyStopped":7,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Tata Memorial Centre","OTHER",null,[9],{"name":10,"affiliation":5,"role":11},"Tabassum Wadasadwala, MD","PRINCIPAL_INVESTIGATOR",[13],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":17},"Tabassum Wadasadawala, MD","CONTACT","9324445303","twadasadwala@actrec.gov.in",[19],{"facility":5,"status":20,"city":21,"state":22,"zip":23,"country":24,"countryCode":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":32},"RECRUITING","Mumbai","Maharashtra","400012","India","IN",{"type":27,"coordinates":28},"Point",[29,30],72.88261,19.07283,{"lat":30,"lon":29},[33,35,36,39,41,43,45,47,49],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":34},"twadasadawala@actrec.gov.in",{"name":14,"role":11,"phone":7,"phoneExt":7,"email":7},{"name":37,"role":38,"phone":7,"phoneExt":7,"email":7},"Sahil Sood, MD","SUB_INVESTIGATOR",{"name":40,"role":38,"phone":7,"phoneExt":7,"email":7},"Amit Sethi, PhD",{"name":42,"role":38,"phone":7,"phoneExt":7,"email":7},"Rajiv Sarin, MD",{"name":44,"role":38,"phone":7,"phoneExt":7,"email":7},"Rima Pathak, MD",{"name":46,"role":38,"phone":7,"phoneExt":7,"email":7},"Revathy Krishnamurthy, MD",{"name":48,"role":38,"phone":7,"phoneExt":7,"email":7},"Vani Parmar, MD",{"name":50,"role":38,"phone":7,"phoneExt":7,"email":7},"Pallavi Rane, M.Sc",{"type":11,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"Dr. Tabassum Wadasadawala","Professor Tabassum Wadasadawala","100473832","assessment-of-the-breast-cosmesis-using-deep-neural-networks-an-exploratory-study-abcd-100473832",false,"NCT05450016","Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)","ABCD","Inclusion Criteria:\n\n* Confirmed diagnosis of primary breast cancer (invasive or in situ)\n* Patient undergone breast conservation \u002F Whole breast reconstruction\n* Patient received breast RT\n* Already provided written informed consent on earlier projects\n* Patient provided photographs of both breasts\n* Non-metastatic disease or oligometastatic\n* Age \\> 18 years\n* Reconsent given\n\nExclusion Criteria:\n\n* Mastectomy without whole breast reconstruction\n* Bilateral breast cancer\n* Partial breast irradiation\n* Male patient\n* Limited life expectancy due to co-morbidity\n* Patients undergoing brachy boost",true,"FEMALE","19 Years","80 Years",{"count":66,"type":67},720,"ESTIMATED","OBSERVATIONAL","Surgery and radiotherapy in breast cancer patients can cause treatment changes and may affect the final breast appearance. In this study, we are trying to evaluate the post treatment breast photographs of the patients and subject these to Artificial Intelligence based program so as to classify into appropriate categories based upon changes from baseline. This automated solution will help in decreasing the time required to achieve this task by physicians in the clinic.",[71],"Breast Cancer",[73],"Cosmesis, photographic assessment, neural network","2025-04-07",{"date":76,"type":77},"2025-04-10","ACTUAL",{"date":79,"type":77},"2021-10-04",{"date":81,"type":67},"2026-09",{"name":5,"class":6},1]