Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)

Recruiting now

Conditions studied: Breast Cancer

In brief

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.

Key facts

Study ID

NCT05450016

Run by

Tata Memorial Centre

People needed

720

Starts

2021-10-04

Expected to finish

2026-09-01

Last updated by the study team

2025-04-10

Who can join

Age: 19 and older, up to 80. Sex: female. Healthy volunteers: accepted.

You may qualify if…

• 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

You may not qualify if…

• 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

• Tata Memorial Centre — Mumbai, Maharashtra, India (enrolling)

Full record on ClinicalTrials.gov

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