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从卡雷尔到机器人技术:肾移植及其手术技术的演变

From Carrel to Robotics: Renal Transplantation and the Evolution of its Surgical Technique.

作者信息

Barandiaran Cornejo Jose F, Chin L Thomas, Angelis Michael

机构信息

AdventHealth Transplant Institute, 2415 North Orange Ave Suite 700, Orlando, FL, 32804, USA.

出版信息

Curr Urol Rep. 2025 Apr 21;26(1):38. doi: 10.1007/s11934-025-01265-5.

DOI:10.1007/s11934-025-01265-5
PMID:40257516
Abstract

PURPOSE OF REVIEW

Renal transplantation has become the standard of care for patients with end-stage renal disease (ESRD) due to significant advancements across various medical and surgical fields. This review highlights the evolution of renal transplantation techniques, while also exploring the latest tools and practices that promise to further improve their outcomes.

RECENT FINDINGS

Since the first successful renal transplant, numerous innovations have been implemented in the various stages of renal graft implantation. These include improved techniques in vascular and urinary anastomoses, graft positioning, and the recent emergence of modern technologies such as robotics and artificial intelligence (AI) which have shown promise in enhancing surgical performance. The field of renal transplantation is continuously evolving. As new and more efficient technologies continue to emerge, these too will become the standard of care and training. It is essential for transplant surgeons to understand the key historical developments that have led to our current level of expertise, so we can make effective use of these tools in further advancing the field.

摘要

综述目的

由于各个医学和外科领域取得了重大进展,肾移植已成为终末期肾病(ESRD)患者的标准治疗方法。本综述重点介绍了肾移植技术的发展历程,同时探讨了有望进一步改善其治疗效果的最新工具和实践。

最新发现

自首次成功进行肾移植以来,在肾移植植入的各个阶段都实施了众多创新。这些创新包括血管和尿路吻合、移植物定位等方面的改进技术,以及机器人技术和人工智能(AI)等现代技术的最新出现,这些技术在提高手术性能方面已显示出前景。肾移植领域在不断发展。随着更新、更高效的技术不断涌现,这些技术也将成为标准的治疗方法和培训内容。移植外科医生必须了解导致我们目前专业水平的关键历史发展,以便我们能够有效利用这些工具进一步推动该领域的发展。

相似文献

1
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本文引用的文献

1
Introducing robot-assisted kidney transplantation in a high-volume centre in Denmark: a pilot and feasibility study.丹麦一家大型中心引入机器人辅助肾移植:一项试点及可行性研究。
J Robot Surg. 2025 Jan 6;19(1):45. doi: 10.1007/s11701-024-02190-4.
2
Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyse Feasibility of an Open or Robotic Kidney Transplant.为分析开放性或机器人辅助肾移植的可行性而创建的机器学习决策树模型的预测能力
Int J Med Robot. 2024 Dec;20(6):e70035. doi: 10.1002/rcs.70035.
3
Improved survival prediction for kidney transplant outcomes using artificial intelligence-based models: development of the UK Deceased Donor Kidney Transplant Outcome Prediction (UK-DTOP) Tool.
利用人工智能模型改善肾移植结局的生存预测:英国已故供者肾移植结局预测(UK-DTOP)工具的开发。
Ren Fail. 2024 Dec;46(2):2373273. doi: 10.1080/0886022X.2024.2373273. Epub 2024 Oct 22.
4
Automated surgical skill assessment in colorectal surgery using a deep learning-based surgical phase recognition model.基于深度学习的手术阶段识别模型在结直肠手术中自动进行手术技能评估。
Surg Endosc. 2024 Nov;38(11):6347-6355. doi: 10.1007/s00464-024-11208-9. Epub 2024 Aug 30.
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Revolutionizing Organ Transplantation With Robotic Surgery.机器人手术颠覆器官移植。
Ann Surg. 2024 Nov 1;280(5):706-712. doi: 10.1097/SLA.0000000000006460. Epub 2024 Jul 26.
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Robotic versus laparoscopic versus open nephrectomy for live kidney donors.机器人辅助与腹腔镜辅助与开放性肾切除术用于活体供肾者。
Cochrane Database Syst Rev. 2024 May 9;5(5):CD006124. doi: 10.1002/14651858.CD006124.pub3.
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Clinical applications of artificial intelligence in robotic surgery.人工智能在机器人手术中的临床应用。
J Robot Surg. 2024 Mar 1;18(1):102. doi: 10.1007/s11701-024-01867-0.
8
Robotic Kidney Transplant Beyond the Learning Curve: 8-Year Single-center Experience and Matched Comparison With Open Kidney Transplant.机器人辅助肾移植超越学习曲线:8 年单中心经验及与开放肾移植的匹配对照研究。
Urology. 2024 Jan;183:100-105. doi: 10.1016/j.urology.2023.10.031. Epub 2023 Nov 10.
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Organ bioprinting: progress, challenges and outlook.器官生物打印:进展、挑战与展望。
J Mater Chem B. 2023 Nov 8;11(43):10263-10287. doi: 10.1039/d3tb01630g.
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Comparison of outcomes after open versus robotic kidney transplantation: A systematic review and meta-analysis.开放手术与机器人辅助肾移植术后结局的比较:一项系统评价和荟萃分析。
Indian J Urol. 2023 Jul-Sep;39(3):186-194. doi: 10.4103/iju.iju_390_22. Epub 2023 Jun 30.