Abstract
PURPOSE: The aim of this study was to introduce a novel method for the investigation of shape altering breast surgeries and to objectively evaluate outcomes. To date, shape outcomes are mostly judged subjectively by using images, surveys, and expert opinions. These methods are prone for biases and inaccuracy. Surface 3D scanning and computer-based comparison of shape changes can circumvent these problems. But no universal 3D based parameters are established yet to compare breast shapes. METHOD: Surface scans were performed with a high resolution 3D scanner. Primary breast augmentation patients were scanned pre-, intra- and post- operatively. All scans were performed with patients in a “sitting” position. We developed a novel shape analysis algorithm based on volume distribution (Volume Distribution Ratio VDR) and sphericity (Sphericity Factor SF). RESULTS:3 D scanning in an operative setting is practical and easy to perform. No risk is added to the surgical procedure. Our new comparison method could show that anatomically shaped breast implants produce a more bottom-heavy “natural” breast shape than same sized round implants when comparing 3D data. Differences were small, but the use of VDR and SF can significantly differentiate breast shape differences. CONCLUSION: Our novel 3D analyzing algorithm can be used to compare different breast surgery techniques and add objectivity in the discussion on breast surgery outcomes. It creates objective follow up possibilities (quality control) and could lead into a new breast shape classification system.
Published Version
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