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

ConditionBreast Cancer
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age19-80
SponsorTata Memorial Centre

About this trial

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

Mastectomy without whole breast reconstruction

Bilateral breast cancer

Partial breast irradiation

Male patient

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

No trial groups listed

Sponsors and collaborators