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Application of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.
Wang, Zheng; Wang, Xin Yu; Yu, Xiao Fen.
Afiliación
  • Wang Z; Cancer Center, Zhejiang Provincial People's Hospital ( Affiliated People's Hospital of Hangzhou Medical College), Hangzhou, 310014, China.
  • Wang XY; Department of Rehabilitation Medicine, Zhejiang Shuren University Affiliated Shulan Hangzhou Hospital, Hangzhou, 310022, Zhejiang, China.
  • Yu XF; Department of the Operating Room, Zhejiang Provincial People's Hospital, (Affiliated People's Hospital of Hangzhou Medical College), Hangzhou, 310014, China. yuxiaofen@hmc.edu.cn.
BMC Surg ; 24(1): 167, 2024 May 28.
Article en En | MEDLINE | ID: mdl-38807080
ABSTRACT

BACKGROUND:

To explore the application effect of 3D printing surgical training models in the preoperative assessment of robot-assisted partial nephrectomy.

METHODS:

Eighty 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 600 am on the day before surgery (T0), 600 am on the day of the operation (T1), 600 am on the first day after the operation (T2), and 600 am on the third day after the operation (T3).The preparation rate before surgery was compared between the two groups.

RESULTS:

The 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).

CONCLUSION:

The 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Robotizados / Impresión Tridimensional / Nefrectomía Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Surg Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Robotizados / Impresión Tridimensional / Nefrectomía Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Surg Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido