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

Summary

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

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

Conditions2

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