Open Access
Issue
BIO Web Conf.
Volume 237, 2026
2026 8th International Conference on Biotechnology and Biomedicine (ICBB 2026)
Article Number 03004
Number of page(s) 4
Section Biomaterials, Medical Devices and Biomedical Engineering
DOI https://doi.org/10.1051/bioconf/202623703004
Published online 10 June 2026
  • Li, H., Lin, Y., Zhang, X., Li, Z. & Mu, D. 3D Analysis of Breast Morphological Changes after Vertical-Scar Reduction Mammoplasty: A Prospective Study. Aesthetic Plast. Surg. 48, 3904–3913 (2024). [Google Scholar]
  • Ran, R. et al. Risk factors for complications after reduction mammaplasty: A systematic review and meta-analysis. Eur. J. Med. Res. 30, 440 (2025). [Google Scholar]
  • Arbuiso, S. et al. Investigating the relationship between sensation and satisfaction in reduction mammaplasty: A systematic review and meta- analysis. J. Plast. Reconstr. Aesthetic Surg. JPRAS 102, 426–466 (2025). [Google Scholar]
  • Akhoondinasab, M., Shafaei, Y., Rahmani, A. & Keshavarz, H. A Machine Learning-Based Model for Breast Volume Prediction Using Preoperative Anthropometric Measurements. Aesthetic Plast. Surg. 48, 243–249 (2024). [Google Scholar]
  • Zhu, K. J. et al. From printer to patient: A scoping review and new classification of ready-to-use three-dimensional printed constructs in autologous breast reconstruction. J. Plast. Reconstr. Aesthet. Surg. 102, 93–103 (2025). [Google Scholar]
  • Botti, E., Jansen, B., Ballen-Moreno, F., Kapila, A. & Brahimetaj, R. Evaluating the accuracy and repeatability of mobile 3D imaging applications for breast phantom reconstruction. Sensors 25, 4596 (2025). [Google Scholar]
  • Kyriazidis, I., Berner, J. E., Waked, K. & Hamdi, M. 3D breast scanning in plastic surgery utilizing free iPhone LiDAR application: Evaluation, potential, and limitations. Aesthet. Surg. J. 45, NP99–NP104 (2025). [Google Scholar]
  • Zaussinger, M. et al. 3D technology for autologous breast reconstruction: Increased aesthetic outcomes and quality of life utilizing patient-specific templates. Aesthet. Surg. J. 45, 373–380 (2025). [Google Scholar]
  • Sirimahachaiyakul, P., Boonjunwetwat, D., Meevassana, J., Manasnayakorn, S. & Angspatt, A. Weight to volume conversion: an easy and practical breast volume estimation. Gland Surg. 12, 1387–1394 (2023). [Google Scholar]
  • Zhao, Y., Wu, C., Luh, D. & Zhang, X. A novel breast-volume self-measurement method with improved convenient and accuracy. Appl. Sci. 14, 10071 (2024). [Google Scholar]
  • Longo, B. et al. The LD-V: An innovative formula for latissimus dorsi flap volume assessment. J. Plast. Reconstr. Aesthet. Surg. 96, 36–39 (2024). [Google Scholar]
  • Wang, S. et al. Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System. JPRAS Open 44, 107–118 (2025). [Google Scholar]
  • Jin, M.-Y. et al. Three-dimensional scanning for breast plastic and reconstructive surgery: an updated review. Eur. J. Plast. Surg. 47, 15 (2024). [Google Scholar]
  • Torresetti, M. et al. The Impact of Reduction Mammaplasty on Breast Sensation: A Systematic Review. Aesthet. Surg. J. 43, NP847–NP854 (2023). [Google Scholar]

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