A Computerized Recognition System to Assess Breast Asymmetry after Augmentation Mammaplasty.

Background: Breast augmentation patients are often unaware of their preexisting breast asymmetry before surgery but discover it afterward, which leads to postoperative dissatisfaction and increases the reoperation rate. However, elaboration on how patients subjectively analyze breast asymmetry and the recognition thresholds were limited.

Methods: Two hundred female participants, including 100 patients 6 months postoperatively for primary augmentation mammaplasty and 100 preoperative patients, were recruited as two study groups. Self-assessments of breast asymmetry and objective measurements were taken. A computerized recognition experiment was constructed based on standardized three-dimensional models with different nipple-areola complex (NAC) and inframammary fold (IMF) asymmetry combinations. One hundred twenty-one three-dimensional models were generated and shown in random sequence. Participants responded whether they discovered breast asymmetry in each model. The recognition rate and 50% recognition thresholds of the asymmetry in NAC, IMF, lower pole length, volume, and their interrelations were calculated.

Results: Self-assessment of the postaugmentation group showed more precise distinguishing of NAC, IMF, and lower pole distance asymmetry than in the preaugmentation group. The 50% recognition thresholds of NAC and IMF level discrepancies were approximately 0.75 cm, with the IMF asymmetry identified with higher accuracy. When the NAC level discrepancy ranged from 0.0 to 1.25 cm, adjusting the IMF level discrepancy from 0.0 to 0.5 cm in the same direction lowered participants' recognition rates of breast asymmetry.

Conclusions: Patients recognize their breast asymmetry issue more accurately after augmentation operations, despite improved parameters. In addition, adjusting the new IMF level, aligning with NAC discrepancy within 0.5 cm when treating mild NAC asymmetry, improved symmetric outcomes.