Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)
Recruiting · NCT05450016 · Observational (researchers observe without assigning treatment)
View the official record on ClinicalTrials.gov →What this trial is about
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.
Who can take part
Age range
19 Years to 80 Years
Sex
Female
Healthy volunteers
Yes - healthy volunteers may be accepted
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
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
Where it is running
1 location listed.
- Tata Memorial Centre - Mumbai, Maharashtra, India