Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models.

摘要: Background Three-dimensional (3D) scanning is an established method of breast volume estimation. However, this can never be entirely precise, since the thoracic wall cannot imaged by surface scanner. Current methods rely on interpolation posterior border from surrounding wall. Here, we present a novel to calculate and increase accuracy measurement. Methods Using principal component analysis, computed tomography images were used build statistical shape model (SSM) The was fitted 3D missing curvature interpolated (indirect volumetry). calculations evaluated ordinary least squares regression between preoperative postoperative differences resection weights in reduction surgery (N = 36). Also, SSM developed, allowing direct volumetry. Magnetic-resonance (MRI) scans acquired 5 patients order validate volumetry. Results Volumetry based exhibited higher determination coefficient (R2 0,737) than 0,404). not equivalent (p 0.75), suggesting that significantly differ. There no influence BMI correlation either method. MRI volumetry had strong with 0,978). Conclusion The SSM-based calculation reliable superior currently interpolation. It should serve as basis software applications aiming at data.