Health Condition 1: C509- Malignant neoplasm of breast of unspecified site
Conditions
Interventions
None listed
Sponsors
Terry Fox
Eligibility
Inclusion criteria
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
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
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1.Proportion of patients with excellent/good cosmesis The patient photographs will be processed for artificial intelligence based analysis of prediction of breast cosmesisTimepoint: 3 YEARS | — |
Secondary
| Measure | Time frame |
|---|---|
| Kappa statistic between different deep neural networks Concordance of various deep neural networks in prediction of breast cosmesis Timepoint: 3 YEARS | — |
Countries
India
Contacts
Public ContactDr Tabassum Wadasadawala
Tata Memorial Center, Mumbai
Outcome results
None listed