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

This trial accepts healthy volunteers

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 population

This is a retrospective analysis of patient photographs that have been acquired after written informed consent as per ethical requirements. The patients accrued in the ongoing prospective study (CTRI/2020/01/022871) have been re-consented for the current study in order to subject their breast photographs for neural network analysis. No photographs are taken separately for the current study. Hence this is essentially a retrospective study of the breast photographs to predict cosmesis.

Trial design

Design model

Cohort

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

Proportion of patients with excellent/good cosmesis

The patient photographs will be processed for artificial intelligence based analysis of prediction of breast cosmesis

Time frame

3 years

Secondary outcomes

Kappa statistic between different deep neural networks

Concordance of various deep neural networks in prediction of breast cosmesis

Time frame

3 years

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Tata Memorial Centre

Lead sponsor

Source ClinicalTrials.gov

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