ArticleBMC surgery2024
Application of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.
Article in BMC surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- 3D printing visualization combined with home-school-hospital collaboration for clinical pharmacology teaching.Frontiers in pharmacology · 2026Article
- Current 3D Printing Technologies and their Potential Applications in Drug Delivery, Personalized Medicine & Pharmaceutical Sciences.Current drug discovery technologies · 2026Review
- Quantitative evaluation of 3D-printed physiological visualization tools in enhancing interns' knowledge retention and application.Frontiers in medicine · 2026Article
- Teaching and evolution in surgical planning of robotic partial nephrectomy with 3D printing models.Journal of robotic surgery · 2025Article
- An empirical study on the psychological impact of medical AI on patients undergoing dental surgery.Scientific reports · 2025Article
- A bibliometric analysis of augmented reality and mixed reality applied in minimally invasive surgery.Journal of robotic surgery · 2025Review
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Authors and funding
3 authors.
Funding
Abstract
backgroundTo explore the application effect of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.
methodsEighty patients who underwent robot-assisted partial nephrectomy surgery between January 2022 and December 2023 were selected and divided into two groups according to the chronological order. The control group (n = 40) received preoperative assessment with verbal and video education from January 2022 to December 2022, while the observation group (n = 40) received preoperative assessment with 3D printing surgical training models combined with verbal and video education from January 2023 to December 2023. The preoperative anxiety, information demand score, and surgical awareness were compared between the two groups. The physiological stress indicators, including interleukin-6 (IL-6), angiotensin II (AT II), adrenocorticotropic hormone (ACTH), cortisol (Cor), mean arterial pressure (MAP), and heart rate (HR), were also measured at different time points before and after surgery.They were 6:00 am on the day before surgery (T0), 6:00 am on the day of the operation (T1), 6:00 am on the first day after the operation (T2), and 6:00 am on the third day after the operation (T3).The preparation rate before surgery was compared between the two groups.
resultsThe anxiety and surgical information demand scores were lower in the observation group than in the control group before anesthesia induction, and the difference was statistically significant (P < 0.001). Both groups had lower scores before anesthesia induction than before preoperative assessment, and the difference was statistically significant (P < 0.05). The physiological stress indicators at T1 time points were lower in the observation group than in the control group, and the difference was statistically significant (P < 0.05). The overall means of the physiological stress indicators differed significantly between the two groups (P < 0.001). Compared with the T0 time point, the T1, T2, and T3 time points in both groups were significantly lower, and the difference was statistically significant (P < 0.05). The surgical awareness and preparation rate before surgery were higher in the observation group than in the control group, and the difference was statistically significant (P < 0.05).
conclusionThe preoperative assessment mode using 3D printing surgical training models combined with verbal and video education can effectively reduce the psychological and physiological stress responses of surgical patients, improve their surgical awareness, and enhance the preparation rate before surgery.
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