Actively Recruiting
Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)
Led by Tata Memorial Centre · Updated on 2025-04-10
720
Participants Needed
1
Research Sites
256 weeks
Total Duration
On this page
AI-Summary
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.
CONDITIONS
Official Title
Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Confirmed diagnosis of primary breast cancer (invasive or in situ)
- Patient undergone breast conservation or whole breast reconstruction
- Patient received breast radiotherapy
- Previously provided written informed consent on earlier projects
- Patient provided photographs of both breasts
- Disease is non-metastatic or oligometastatic
- Age greater than 18 years
- Reconsent given
You will not qualify if you...
- Mastectomy without whole breast reconstruction
- Bilateral breast cancer
- Partial breast irradiation
- Male patient
- Limited life expectancy due to co-morbidity
- Patients undergoing brachy boost
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Tata Memorial Centre
Mumbai, Maharashtra, India, 400012
Actively Recruiting
Research Team
T
Tabassum Wadasadawala, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here