Computer-Generated Three-Dimensional Airway Models as a Decision-Support Tool for Preoperative Evaluation and Procedure-Planning in Pediatric Anesthesiology
Autor: | Benjamin Kloesel, James V. Donadio, Laura Irvine, Kumar G. Belani, Arthur G. Erdman, Bethany Juhnke |
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Rok vydání: | 2021 |
Předmět: |
Reverse engineering
medicine.medical_specialty Decision support system Emerging technologies Computer science Process (engineering) Pediatric anesthesiology medicine.medical_treatment Medicine (miscellaneous) Airway management Health Informatics Virtual reality computer.software_genre Health informatics Patient Facing Systems Imaging Three-Dimensional Health Information Management Anesthesiology Preoperative Care medicine Humans Medical physics Child Medical device Computers business.industry Three-dimensional airway model Device fit analysis Printing Three-Dimensional business computer Information Systems |
Zdroj: | Journal of Medical Systems |
ISSN: | 1573-689X 0148-5598 |
Popis: | Technology improvements have rapidly advanced medicine over the last few decades. New approaches are constantly being developed and utilized. Anesthesiology strongly relies on technology for resuscitation, life-support, monitoring, safety, clinical care, and education. This manuscript describes a reverse engineering process to confirm the fit of a medical device in a pediatric patient. The method uses virtual reality and three-dimensional printing technologies to evaluate the feasibility of a complex procedure requiring one-lung isolation and one-lung ventilation. Based on the results of the device fit analysis, the anesthesiology team confidently proceeded with the operation. The approach used and described serves as an example of the advantages available when coupling new technologies to visualize patient anatomy during the procedural planning process. |
Databáze: | OpenAIRE |
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