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Investigation of a three‐dimensional printed dynamic cervical spine model for anatomy and physiology education
Author(s) -
Clifton William,
Damon Aaron,
Soares Christy,
Nottmeier Eric,
Pichelmann Mark
Publication year - 2021
Publication title -
clinical anatomy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.667
H-Index - 71
eISSN - 1098-2353
pISSN - 0897-3806
DOI - 10.1002/ca.23607
Subject(s) - medicine , anatomy , 3d printed , surface anatomy , fluoroscopy , 3d printing , segmentation , gross anatomy , 3d model , biomedical engineering , computer science , artificial intelligence , radiology , materials science , composite material
Three‐dimensional (3D) printing of anatomical structures is a growing method of education for students and medical trainees. These models are generally produced as static representations of gross surface anatomy. In order to create a model that provides educators with a tool for demonstration of kinematic and physiologic concepts in addition to surface anatomy, a high‐resolution segmentation and 3D‐printingtechnique was investigated for the creation of a dynamic educational model. Methods An anonymized computed tomography scan of the cervical spine with a diagnosis of ossification of the posterior longitudinal ligament was acquired. Using a high‐resolution thresholding technique, the individual facet and intervertebral spaces were separated, and models of the C3–7 vertebrae were 3D‐printed. The models were placed on a myelography simulator and subjected to flexion and extension under fluoroscopy, and measurements of the spinal canal diameter were recorded and compared to in‐vivo measurements. The flexible 3D‐printed model was then compared to a static 3D‐printed model to determine the educational benefit of demonstrating physiologic concepts. Results The canal diameter changes on the flexible 3D‐printed model accurately reflected in‐vivo measurements during dynamic positioning. The flexible model also was also more successful in teaching the physiologic concepts of spinal canal changes during flexion and extension than the static 3D‐printed model to a cohort of learners. Conclusions Dynamic 3D‐printed models can provide educators with a cost‐effective and novel educational tool for not just instruction of surface anatomy, but also physiologic concepts through 3D ex‐vivo modeling of case‐specific physiologic and pathologic conditions.