Literature DB >> 33733499

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.

Prashanth Ravi1, Leonid Chepelev2, Nathan Lawera1, Khan Md Ariful Haque3, Victoria C P Chen3, Arafat Ali1, Frank J Rybicki1.   

Abstract

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 printing if 1 mm is considered the cutoff for clinical use cases. The 0.1 mm layer height is suitable for 3D printing accurate anatomical models for presurgical planning in a majority of cases. Elastic models, models oriented horizontally, and models that are hollow tend to have relatively higher deviation as seen from experimental results and mathematical model predictions. While clinically insignificant using a 1 mm cutoff, further research is needed to better understand the complex physical interactions in VP 3D printing which influence model accuracy.
© 2021 American Association of Physicists in Medicine.

Keywords:  Form 3B; additive manufacturing; anatomic models; elastic material; inverted vat polymerization; medical 3D printing; model accuracy; rapid prototyping; vat photopolymerization

Year:  2021        PMID: 33733499     DOI: 10.1002/mp.14850

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion.

Authors:  Prashanth Ravi; Leonid L Chepelev; Gabrielle V Stichweh; Benjamin S Jones; Frank J Rybicki
Journal:  J Digit Imaging       Date:  2022-03-02       Impact factor: 4.903

2.  Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements.

Authors:  Shashank S Kumat; Panos S Shiakolas
Journal:  3D Print Med       Date:  2022-01-04

3.  Evaluating surface coatings to reduce bone cement adhesion to point of care 3D printed molds in the intraoperative setting.

Authors:  Brian Beitler; Gregory R Roytman; Grace Parmer; Steven M Tommasini; Daniel H Wiznia
Journal:  3D Print Med       Date:  2022-08-12

Review 4.  The Role of 3D Printing in Planning Complex Medical Procedures and Training of Medical Professionals-Cross-Sectional Multispecialty Review.

Authors:  Jarosław Meyer-Szary; Marlon Souza Luis; Szymon Mikulski; Agastya Patel; Finn Schulz; Dmitry Tretiakow; Justyna Fercho; Kinga Jaguszewska; Mikołaj Frankiewicz; Ewa Pawłowska; Radosław Targoński; Łukasz Szarpak; Katarzyna Dądela; Robert Sabiniewicz; Joanna Kwiatkowska
Journal:  Int J Environ Res Public Health       Date:  2022-03-11       Impact factor: 3.390

  4 in total

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