A systematic evaluation of medical 3D printing accuracy of multi‐pathological anatomical models for surgical planning manufactured in elastic and rigid material using desktop inverted vat photopolymerization

• Published in: Medical physics (Lancaster) 2021-06, Vol.48 (6), p.3223-3233
• Main Authors: Ravi, Prashanth, Chepelev, Leonid, Lawera, Nathan, Haque, Khan Md. Ariful, Chen, Victoria C.P., Ali, Arafat, Rybicki, Frank J.
• Format: Article
• Language: English
• Subjects: additive manufacturing; anatomic models; elastic material; Form 3B; inverted vat polymerization; medical 3D printing; model accuracy; rapid prototyping; vat photopolymerization
• ISSN: 0094-2405; 2473-4209
• DOI: 10.1002/mp.14850

Purpose The dimensional accuracy of three‐dimensional (3D) printed anatomical models is essential to correctly understand spatial relationships and enable safe presurgical planning. Most recent accuracy studies focused on 3D printing of a single pathology for surgical planning. This study evaluated the accuracy of medical models across multiple pathologies, using desktop inverted vat photopolymerization (VP) to 3D print anatomic models using both rigid and elastic materials. Methods In the primary study, we 3D printed seven models (six anatomic models and one reference cube) with volumes ranging from ~2 to ~209 cc. The anatomic models spanned multiple pathologies (neurological, cardiovascular, abdominal, musculoskeletal). Two solid measurement landing blocks were strategically created around the pathology to allow high‐resolution measurement using a digital micrometer and/or caliper. The physical measurements were compared to the designed dimensions, and further analysis was conducted regarding the observed patterns in accuracy. All of the models were printed in three resins: Elastic, Clear, and Grey Pro in the primary experiments. A full factorial block experimental design was employed and a total of 42 models were 3D printed in 21 print runs. In the secondary study, we 3D printed two of the anatomic models in triplicates selected from the previous six to evaluate the effect of 0.1 mm vs 0.05 mm layer height on the accuracy. Results In the primary experiment, all dimensional errors were less than 1 mm. The average dimensional error across the 42 models was 0.238 ± 0.219 mm and the relative error was 1.10 ± 1.13%. Results from the secondary experiments were similar with an average dimensional error of 0.252 ± 0.213 mm and relative error of 1.52% ± 1.28% across 18 models. There was a statistically significant difference in the relative errors between the Elastic resin and Clear resin groups. We explained this difference by evaluating inverted VP 3D printing peel forces. There was a significant difference between the Solid and Hollow group of models. There was a significant difference between measurement landing blocks oriented Horizontally and Vertically. In the secondary experiments, there was no difference in accuracy between the 0.10 and 0.05 mm layer heights. Conclusions The maximum measured error was less than 1 mm across all models, and the mean error was less than 0.26mm. Therefore, inverted VP 3D printing technology is suitable for medical 3D printi