Deep learning to detect musculoskeletal problems after breast cancer surgery

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational project will collect standardized physical-exam and clinical follow-up data from adult women scheduled for unilateral breast cancer surgery at Ankara Etlik City Hospital. Researchers will apply deep learning methods to the collected clinical and examination findings to identify patterns associated with postmastectomy lymphedema, axillary web syndrome, shoulder adhesive capsulitis, surgery-related pain, and secondary osteoporosis. Participants will be followed through postoperative visits to capture onset and progression of musculoskeletal complications. The goal is to create models that help clinicians recognize problems earlier and guide rehabilitation planning.

Why it matters

Who can join: the full rules

Inclusion Criteria:

Female sex Age ≥18 years Scheduled for surgery due to unilateral breast cancer

Exclusion Criteria:

Inability to comply with follow-up visits Bilateral breast cancer Male breast cancer Children (\<18 years) Pregnant women Postpartum women Breastfeeding women Individuals in intensive care Impaired consciousness Legally incapacitated individuals

Where it's running

• Ankara Etlik City Hospital
  Ankara, Turkey (Türkiye) Recruiting

Study contacts

• Study coordinator: Başak Mansız Kaplan
• Email: basakmansiz@hotmail.com
• Phone: +905358582176

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.