ArticlePlastic and reconstructive surgery. Global open2023
A Streamlined Algorithmic Process for Creating Three-dimensional Printed Forearm Casts.
Article in Plastic and reconstructive surgery. Global open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- In silico workflow for validation of patient-specific 3D-printed casts in forearm fracture immobilization.Frontiers in surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) printing is a rapidly evolving field that has found its way into the medical field, providing unsurpassed contributions to the provision of patient-centered care. Its utilization lies in optimizing preoperative planning, the creation and customization of surgical guides and implants, and the designing of models that can be used to augment patient counseling and education. We integrate a simple yet effective method of scanning the forearm using an iPad device with Xkelet software to obtain a 3D printable stereolithography file, which is then incorporated to our suggested algorithmic model for designing a 3D cast, utilizing Rhinocerus design software and Grasshopper plugin. The algorithm implements a stepwise process of retopologizing the mesh, division of the cast model, creating the base surface, applying proper clearance and thickness to the mold, and creating a lightweight structure through the addition of ventilation holes to the surface with a joint connector between the two plates. In our experience, scanning and design of the patient-specific forearm cast using Xkelet and Rhinocerus, alongside implementing an algorithmic model through Grasshopper plugin has dramatically reduced the designing process from 2 to 3 hours to 4-10 minutes, further increasing the number of patient scans that can be sequenced in a short duration. In this article, we introduce a streamlined algorithmic process for the use of 3D scanning and processing software to create forearm casts that are tailored to the patients' dimensions. We emphasize the implementation of computer-aided design software for a quicker and more accurate design process.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.