Breast Asymmetry, Classification, and Algorithm of Treatment: Our Experience

Area of Science:

• Plastic Surgery
• Breast Aesthetics
• Patient-Reported Outcomes

Background:

• Existing breast asymmetry classifications rely on etiological or morphological factors.
• A novel approach is needed to address patient self-consciousness regarding breast asymmetry.

Purpose of the Study:

• To introduce a new classification system for developmental breast asymmetries.
• To present a tailored treatment algorithm based on patient awareness and deformity characteristics.

Main Methods:

• A case series of 343 patients with developmental breast asymmetry was analyzed.
• Patients were classified into three groups based on their awareness of asymmetry.
• Treatment algorithms were individualized according to breast size, ptosis, and patient desires.

Main Results:

• Overall patient satisfaction was 77.0% at 48-month follow-up.
• A statistically significant difference in satisfaction was observed between the classification groups.
• No patients reported complete dissatisfaction with the treatment outcomes.

Conclusions:

• The proposed classification and surgical algorithm provide a simple and reliable method for assessing and treating breast asymmetries.
• This patient-centered approach achieves high satisfaction rates and improves overall well-being.