A Novel Approach of Customized Pelvic Implant Design Based on Symmetrical Analysis and 3D Printing.
Yuan ChaiXiao-Bo ChenJesse A EstoqueNick BirbilisQinghua QinTomas WardPaul N SmithRachel W LiPublished in: 3D printing and additive manufacturing (2023)
In pelvic trauma patients, the mismatch of complex geometries between the pelvis and fixation implant is a fundamental cause of unstable and displaced pelvic ring disruption, in which secondary intervention is strongly considered. The geometrical matching in the current customized implant design and clinical practice is through the nonfractured hemi-pelvis for the fractured pelvis. This design philosophy overlooks the anatomical difference between the hemipelves, and further, the geometrical asymmetry at local area still remains unknown. This study analyzed the anatomical asymmetry of a patient's 3D pelvic models from 13 patients. The hemipelves of each patient were registered by using an iterative closet algorithm to an optimum position with minimum deviations. The high deviation regions were summarized between the hemipelves in each case, and a color map was drawn on a hemipelvis model that identified the areas that had a high possibility to be symmetrically different. A severe pelvic trauma case was used to comprehend the approach by designing a 3D printed implant. Each fracture was then registered to the mirrored uninjured hemipelvis by using the same algorithm, and customized fixation implants were designed with reference to the fractured model. The customized fixation plates showed that the implants had lower geometrical deviation when attached onto the re-stitched fracture side than onto the mirrored nonfractured bone. These results indicate that the symmetrical analysis of bone anatomy and the deviation color map can assist with implant selection and customized implant design given the geometrical difference between symmetrical bones. The novel approach provides a scientific reference that improves the accuracy and overall standard of 3D printed implants.
Keyphrases
- soft tissue
- rectal cancer
- trauma patients
- minimally invasive
- clinical practice
- randomized controlled trial
- end stage renal disease
- case report
- machine learning
- chronic kidney disease
- ejection fraction
- newly diagnosed
- early onset
- magnetic resonance imaging
- bone mineral density
- magnetic resonance
- postmenopausal women
- prognostic factors
- image quality