Assessment of the Breast Appearance after treatment Using Artificial Intelligence
Not Applicable
- Conditions
- Health Condition 1: C509- Malignant neoplasm of breast of unspecified site
- Registration Number
- CTRI/2023/02/049451
- Lead Sponsor
- Terry Fox
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Open to Recruitment
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Confirmed diagnosis of primary breast cancer (invasive or in situ)
Patient undergone breast conservation / Whole breast reconstruction
Patient received breast RT
Already provided written informed consent on earlier projects
Patient provided photographs of both breasts
Non-metastatic disease or oligometastatic
Age > 18 years
Reconsent given
Exclusion Criteria
Mastectomy without whole breast reconstruction
Bilateral breast cancer
Partial breast irradiation
Male patient
Limited life expectancy due to co-morbidity
Patients undergoing brachy boost
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method 1.Proportion of patients with excellent/good cosmesis <br/ ><br>The patient photographs will be processed for artificial intelligence based analysis of prediction of breast cosmesisTimepoint: 3 YEARS
- Secondary Outcome Measures
Name Time Method Kappa statistic between different deep neural networks <br/ ><br>Concordance of various deep neural networks in prediction of breast cosmesis <br/ ><br>Timepoint: 3 YEARS