Demographics, utilization, workflow and outcomes based on observational data from the RSNA-ACR 3D Printing Registry.

Objective: To report data from the first three years of operation of the RSNA-ACR 3D Printing Registry.
Methods: Data from June 2020 to June 2023 was extracted, including demographics, indications, workflow and user assessments. Clinical indications were stratified by 12 organ systems. Imaging modalities, printing technologies and number of parts per case were assessed. Effort data was analyzed, dividing staff into provider and non-provider categories. The opinions of clinical users were evaluated through a Likert-scale questionnaire, and estimates of procedure time saved were collected.
Results: A total of 20 sites and 2,637 cases were included, consisting of 1,863 anatomic models and 774 anatomic guides. Mean patient age for models and guides was 42.4 ± 24.5 years and 56.3 ± 18.5 years respectively. Cardiac models were the most common type of models (27.2%), and neurologic guides were the most common type of guides (42.4%). Material jetting, vat photopolymerization and material extrusion were the most common printing technologies used overall (85.6% of all cases). On average, providers spent 92.4 minutes and non-providers spent 335.0 minutes per case. Providers spent most time on consultation (33.6 minutes), while non-providers focused most on segmentation (148.0 minutes). Confidence in treatment plans increased after using 3D printing (p<.001). Estimated procedure time savings for 155 cases was 40.5 ± 26.1 minutes.
Conclusion: 3D printing is performed in healthcare facilities for many clinical indications. The registry provides insight into the technologies and workflows used to create anatomic models and guides, and the data shows clinical benefits from 3D printing.
(Copyright © 2024. Published by Elsevier Inc.)