OP11.08: Exchangeable modular patient‐matched models for fetoscopic myelomeningocele repair
Year: 2018
Type: conference-abstract
Abstract: We recently demonstrated the feasibility of ultrasound-based 3D printing of fetal spina bifida lesion for preoperative surgical planning prior to two-port open fetoscopic myelomeningocele (MMC) repair. In this study we sought to improve this model further by developing a modular system allowing for exchangeable insertion of patient specific lesions for surgical training. 3D ultrasound of a fetal MMC was acquired in 6 consecutive patients prior to fetoscopic MMC repair. Ultrasound data were segmented, exported and 3D printed in a standardised size and format allowing for exchangeable insertion in a fetal model. The updated individualized models were used for preoperative surgical simulation. Six MMC 3D models of lesions with varying sizes and severity were successfully printed. The intraoperative findings during the actual surgery closely resembled observations made during surgical training in the modular fetal model. The creation of patient-matched medical models is feasible and necessary for surgical simulation and practice of fetoscopic MMC repair, especially given the complexity of this surgery requiring the collaboration of two surgical specialists, and the anatomical variation in MMC lesions. We present a modular approach where patient specific models can be generated using 3D ultrasound data. This approach may be beneficial for new centres starting a fetoscopic MMC repair program. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
DOI: 10.1002/uog.19489
Authors: C. Ong, E. Ahn, G.T. Miller, A.A. Baschat, J.L. Miller
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2896336325