Evaluating breast appearance after cancer treatment using AI
Assessment of the Breast Cosmesis Using Deep Neural Networks: an Exploratory Study (ABCD)
This study tests whether using artificial intelligence to analyze photos can help doctors better understand how breast appearance changes after cancer treatment.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 720 (estimated) |
| Ages | 19 Years to 80 Years |
| Sex | Female |
| Sponsor | Tata Memorial Centre Academic / other |
| Locations | 1 site (Mumbai, Maharashtra) |
| Trial ID | NCT05450016 on ClinicalTrials.gov |
What this trial studies
This observational study aims to assess the aesthetic outcomes of breast cancer treatments by analyzing post-treatment photographs with a deep neural network algorithm. The algorithm processes images to identify key points on the breast, allowing for a detailed classification of changes in appearance from baseline. By automating this assessment, the study seeks to reduce the time physicians spend evaluating breast cosmesis in clinical settings. The approach combines advanced image processing techniques with machine learning to enhance the accuracy of aesthetic evaluations.
Who should consider this trial
Good fit: Ideal candidates include adult patients with a confirmed diagnosis of primary breast cancer who have undergone breast conservation or reconstruction and received radiotherapy.
Not a fit: Patients who have undergone mastectomy without reconstruction or those with bilateral breast cancer may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could provide a faster and more accurate method for assessing breast appearance after cancer treatment, improving patient care.
How similar studies have performed: While the use of AI in medical imaging is gaining traction, this specific application in breast cosmesis assessment is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Mumbai, Maharashtra
- Tata Memorial Centre — Mumbai, Maharashtra, India (Recruiting)
Study contacts
- Principal investigator: Tabassum Wadasadwala, MD — Tata Memorial Centre
- Study coordinator: Tabassum Wadasadawala, MD
- Email: twadasadwala@actrec.gov.in
- Phone: 9324445303
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.