BellaSeno has successfully used 3D-printed, resorbable polycaprolactone scaffolds to regenerate breast tissue in 30 women, offering a novel approach to reconstructive surgery.
Thirty women in Australia have undergone breast restoration surgery utilizing BellaSeno's innovative 3D-printed, resorbable scaffolds. This advanced technology is designed to regenerate lost breast tissue by providing a framework for the patient's own cells to grow.
The scaffolds, printed from polycaprolactone, are inserted into the breast and augmented with the patient's own fat. They function as a temporary structure, supporting tissue regeneration and gradually reshaping the breast over one to two years. As the body's tissue grows and integrates, the polycaprolactone scaffold breaks down and is completely reabsorbed, leaving behind natural breast tissue.
BellaSeno has completed two clinical trials involving these scaffolds. The first trial included 19 patients, and a second, ongoing trial currently involves 11 patients. Clinicians observing MRI scans of patients who have received these scaffolds report that the resulting tissue appears indistinguishable from normal breast tissue.
Company leadership highlights this development as a significant advancement in breast surgery, marking the beginning of a new era in medical regeneration. BellaSeno is now focusing on the pathway toward commercialization and broader clinical accessibility, emphasizing that regenerative soft tissue surgery is moving from concept to reality with numerous patients undergoing these procedures in clinical studies.
BellaSeno's use of 3D-printed, resorbable scaffolds represents a significant leap in personalized regenerative medicine. This approach leverages additive manufacturing's ability to create patient-specific structures, integrating biological processes for tissue restoration. Such advancements are crucial for safer, more natural-feeling reconstructive procedures and align with the broader additive manufacturing trend towards complex, high-value medical applications.
Edited by the news editor with AI from the original report — please refer to the original source.