您的位置：山东大学 -> 科技期刊社 -> 《山东大学学报（医学版）》

山东大学学报 (医学版) ›› 2019, Vol. 57 ›› Issue (12): 5-9.doi: 10.6040/j.issn.1671-7554.0.2019.1104

• • 上一篇    下一篇

单孔腹腔镜技术的发展及展望

关小明1,张意茗2,范晓东3   

  • 发布日期:2022-09-27
  • 通讯作者: 关小明. E-mail:Xiaoming@bcm.edu

Development and prospect of laparoendoscopic single-site surgery

GUAN Xiaoming1, ZHANG Yiming2, FAN Xiaodong3   

  1. 1. Department of Obstetrics &
    Gynecology, Baylor College of Medicine, Houston 77030, USA;
    2. Department of Reproductive Medicine, Jinan Central Hospital Affiliated to Shandong University, Jinan 250013, Shandong, China;
    3. Department of General Gynecology, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin 300100, China
  • Published:2022-09-27

PDF (PC)

740

摘要： 单孔腹腔镜技术是目前妇科手术中最热门的话题,从经脐单孔到经阴道单孔,从人工单孔到达芬奇机器人单孔,机器人和单孔的组合给我们打开了一扇窗,带来了许多的可能性。但我们认为,机器人只是一种工具,单孔腹腔镜也只是一种手术方式,而人工智能(AI)才是单孔腹腔镜技术未来的发展方向。

关键词: 单孔腹腔镜技术, 腹腔镜, 机器人手术, 人工智能

Abstract: Laparoendoscopic single-site surgery is currently one of the hottest topics in gynecological surgery. From trans-umbilical to transvaginal single-site surgery, and from artificial to Da Vinci robotic single-site platform, the combination of robot and single-site surgery set up an arena full of possibilities. However, we think that robots are just tools, single-site is just a surgical method, while artificial intelligence is the future direction of laparoendoscopic single-site surgery.

Key words: Laparoendoscopic single-site surgery, Laparoscopy, Robotic surgery, Artificial intelligence

中图分类号: 

  • R713
[1] 李谋秋. 手术演变的否定之否定[J]. 医学与哲学, 2015, 36(3B): 86-88. LI Mouqiu. Negation of negation of surgical evolution[J]. Journal of Medicine and Philosophy, 2015, 36(3B): 86-88.
[2] 代睿欣, 白遵光, 王昭辉, 等. 中医外科手术发展的思考与展望[J]. 辽宁中医药大学学报, 2013, 15(7): 99-101. DAI Ruixin, BAI Zunguang, WANG Zhaohui, et al. Thoughts and prospects of the development of Chinese medicine surgery[J]. Journal of Liaoning University of Chinese Medicine, 2013, 15(7): 99-101.
[3] 谷峰, 石岩. 古今中医外科框架演变分析[J]. 世界中西医结合杂志, 2015, 10(4): 456-462. GU Feng, SHI Yan. Analysis of the evolution of the surgical framework of ancient and modern Chinese medicine[J]. World Journal of Integrated Chinese and Western Medicine, 2015, 10(4): 456-462.
[4] 陈卫平. 浅探中医外科传统手术器具的应用[J]. 辽宁中医药大学学报, 2008, 10(5): 17-18. CHEN Weiping. Application of traditional surgical instruments in traditional Chinese medicine surgery[J]. Journal of Liaoning University of Chinese Medicine, 2008, 10(5): 17-18.
[5] 申红玲.《说文解字》中所见产科词语研究[C] // 中华中医药学会第十六届医古文学术会议论文集. 郑州: 中华中医药学会第十六届医古文学术会议, 2006: 65-71.
[6] 潘立群. 关于中西医结合外科急腹症临床若干问题的思考[J]. 江苏中医药, 2004, 25(2): 1-4. PAN Liqun. Reflections on the clinical problems of acute abdominal diseases in integrated Chinese and western surgery[J]. Jiangsu Journal of Traditional Chinese Medicine, 2004, 25(2): 1-4.
[7] 陈建杉, 和中浚, 江泳. 中国古代外科医疗技术的重要发明创造及代表器具[J]. 中医药文化, 2008, 3(5): 43-46. CHEN Jianshan, HE ZHongjun, JIANG Yong. Important inventions and representative instruments of surgical medical technology in ancient China[J]. Chinese Medicine Culture, 2008, 3(5): 43-46.
[8] 高燕. 明代中医外科学与欧洲文艺复兴时期外科学的比较研究[D]. 北京: 北京中医药大学, 2007.
[9] 吕平, 刘芳, 戚昭恩. 腹腔镜外科百年发展史[J]. 中华医史杂志, 2001, 31(4): 217-220. LU Ping, LIU Fang, QI Zhaoen. History of laparoscopic surgery[J]. Chinese Journal of Medical History, 2001, 31(4): 217-220.
[10] Sutton C. Hysterectomy: a historical perspective[J]. Baillieres Clin Obstet Gynaecol, 1997, 11(1): 1-22.
[11] Garry R. Laparoscopic surgery[J]. Best Pract Res Clin Obstet Gynaecol, 2006, 20(1): 89-104.
[12] Small Layne A, Pinkard L, Shepherd J. Current trends in minilaparoscopy[J]. Curr Opin Obstet Gynecol, 2016, 28(4): 255-260.
[13] Usta TA, Gundogdu EC. The role of three-dimensional high-definition laparoscopic surgery for gynaecology[J]. Curr Opin Obstet Gynecol, 2015, 27(4): 297-301.
[14] 中国医师协会妇产科分会妇科单孔腹腔镜手术(包括NOTES)专家技术协作组. 中国大陆妇科单孔腹腔镜及NOTES手术的探索发展及现状[J]. 中华腔镜外科杂志(电子版), 2018, 11(1): 1-3. Chinese medical doctors association gynecology and obstetrics branch gynecology single-hole laparoscopic surgery(including NOTES)expert technical cooperation group. Development and status of single-port laparoscopic and NOTES surgery in Chinese mainland[J]. Chinese Journal of Endoscopic Surgery(electronic edition), 2018, 11(1): 1-3.
[15] Park YM, Kim DH, Moon YM, et al. Gasless transoral robotic thyroidectomy using the Da Vinci SP system: Feasibility, safety, and operative technique[J]. Oral Oncol, 2019, 95: 136-142. doi: 10.1016/j.oraloncology.2019.06.003.
[16] Sørensen SM, Savran MM, Konge L, et al. Three-dimensional versus two-dimensional vision in laparoscopy: a systematic review[J]. Surg Endosc, 2016, 30(1): 11-23.
[17] Lacy AM, Bravo R, Otero-Piñeiro AM. 5G-assisted telementored surgery[J]. Br J Surg, 2019, 106(12): 1576-1579.
[18] 一对多!北京积水潭医院成功实施全球首例多中心5G远程骨科手术[EB/OL]. 健康时报网[2019-06-27]. http://www.jksb.com.cn/html/news/hospital/2019/0627/137244.html.
[19] Bashir M, Harky A. Artificial intelligence in aortic surgery: the rise of the machine; from document receipt to document retrieval[J]. Semin Thorac Cardiovasc Surg, 2019, 31(4):635-637.
[20] Frederic Picard, Angela Helen Deakin, Philip E, et al. Computer assisted orthopaedic surgery: Past, present and future[J]. Med Eng Phys, 2019, 72: 55-65. doi: 10.1016/j.medengphy.2019.08.005.
[21] Reid JE, Eaton E. Artificial intelligence for pediatric ophthalmology[J]. Curr Opin Ophthalmol, 2019, 30(5): 337-346.
[22] Obrzut B, Kusy M, Semczuk A, et al. Prediction of 5-year overall survival in cervical cancer patients treated with radical hysterectomy using computational intelligence methods[J]. BMC Cancer, 2017, 17(1): 840.
[23] Ajao MO, Clark NV, Kelil T, et al. Case Report: three-dimensional printed model for deep infiltrating endometriosis[J]. J Minim Invasive Gynecol, 2017, 24(7): 1239-1242.
[24] Waran V, Narayanan V, Karuppiah R, et al. Utility of multimaterial 3D printers in creating models with pathological entities to enhance the training experience of neurosurgeons[J]. J Neurosurg, 2014, 120(2): 489-492.
[25] Sheikh AY, Fann JI. Artificial Intelligence: can information be transformed into intelligence in Surgical Education?[J]. Thorac Surg Clin, 2019, 29(3): 339-350.
[26] Li L, Yang J, Chu Y, et al. A novel augmented reality navigation system for endoscopic sinus and skull base surgery:a feasibility study[J]. PLoS One, 2016, 11(1): e0146996. doi: 10.1371/journal.pone.0146996.
[27] Bourdel N, Collins T, Pizarro D, et al. Augmented reality in gynecologic surgery: evaluation of potential benefts for myomectomy in an experimental uterine model[J]. Surg Endosc, 2017, 31(1): 456-461.
[28] Song E, Yu F, Liu H, et al. A novel endoscope system for position detection and depth estimation of the ureter[J]. J Med Syst, 2016, 40(12): 266.
[29] Friedman-levi Y, Larush L, Diana M, et al. Optimization of liposomal indocyanine green for imaging of the urinary pathways and a proof of concept in a pig model[J]. Surg Endosc, 2018, 32(2): 963-970.
[30] Portnoy E, Nizri E, Golenser J, et al. Imaging the urinary pathways in mice by liposomal indocyanine green[J]. Nanomedicine, 2015, 11(5): 1057-1064.
[31] Wang C, Wang Z, Zhao T, et al. Optical molecular imaging for tumor detection and image-guided surgery[J]. Biomaterials, 2018, 157: 62-75. doi: 10.1016/j.biomaterials.2017.12.002.
[32] Xi L, Jiang H. Image-guided surgery using multimodality strategy and molecular probes[J]. Wiley Interdiscip Rev Nanomed Nanobiotechnol, 2016, 8(1): 46-60.
[33] Moghissi K, Dixon K. Image-guided surgery and therapy for lung cancer: a critical review[J]. Future Oncol, 2017, 13(26): 2383-2394.
[34] How AI-assisted surgery is improving surgical outcomes[EB/OL].[2018-06-19].https://www.roboticsbusinessreview.com/health-medical/ai-assisted-surgery-improves-patient-outcomes.
[35] Mirnezami R, Ahmed A. Surgery 3.0, artificial intelligence and the next-generation surgeon[J]. Br J Surg, 2018, 105(5): 463-465.
[36] Duhaylongsod F. Artificial artificial intelligence: surgeon intuition and computers to predict graft patency[J]. J Thorac Cardiovasc Surg, 2006, 132(3): 466-467.
[37] Hamet P, Tremblay J. Artificial intelligence in medicine[J]. Metabolism, 2017, 69S: S36-S40. doi: 10.1016/j.metabol.2017.01.011.
[38] Shader RI. Some Reflections on IBM Watson and on Womens Health[J]. Clin Ther, 2016, 38(1): 1-2.
[1] 梁晨,姚丽娟,吕龙飞,唐泽,秦达,崔有斌,余孝淇. 三维重建联合CT引导下穿刺定位在微创治疗肺磨玻璃结节中的应用[J]. 山东大学学报 (医学版), 2026, 64(5): 74-82.
[2] 中国医师协会骨科医师分会智能骨科学组,中华预防医学会脊柱疾病预防与控制专业委员会脊柱脊髓损伤疾病预防与控制学组. 人工智能脊柱退变影像学测量位点与标注专家共识(2025)[J]. 山东大学学报 (医学版), 2026, 64(2): 1-10.
[3] 季心宇,余思沂,孙圆圆,姬冰. 基于人工智能和步态分析的骨科疾病辅助诊疗方法[J]. 山东大学学报 (医学版), 2026, 64(2): 34-43.
[4] 王建民,李晓峰,由志涛,董圣杰,赵宇驰,李占菊,邹德鑫,张剑锋,孙涛,杜伟. 基于可解释机器学习的后路腰椎椎体间融合术后慢性疼痛风险预测模型构建[J]. 山东大学学报 (医学版), 2026, 64(2): 78-88.
[5] 王宝炫,焦杰,张厚君,刘奇,于冠英. 衰弱与肌少症评估在胃肠道肿瘤术后结局预测中的应用与展望[J]. 山东大学学报 (医学版), 2025, 63(4): 51-58.
[6] 王刚,徐鹏演,赵旭安,王海锋,葛苗苗,潘华峰,江志伟. ω-3多不饱和脂肪酸对腹腔镜结直肠癌术后迷走神经和肠功能恢复的影响[J]. 山东大学学报 (医学版), 2025, 63(2): 36-42.
[7] 张鑫茹,李扬,孙萌,聂玮,马喆. Vision-LSTM模型在甲状腺影像报告与数据系统4b类甲状腺结节超声影像诊断中的应用与评估[J]. 山东大学学报 (医学版), 2025, 63(11): 68-74.
[8] 武琪琪,成淼淼,肖晓燕. 多模态模型在肾脏病领域的应用[J]. 山东大学学报 (医学版), 2025, 63(10): 117-124.
[9] 梁博文,陆清声. 机器人辅助主动脉腔内修复术的进展[J]. 山东大学学报 (医学版), 2024, 62(9): 61-65.
[10] 张景慧,王娟,赵玉洁,段淼,刘毅然,林敏娟,谯旭,李真,左秀丽. 基于机器学习的胃肠道疾病舌诊模型构建[J]. 山东大学学报 (医学版), 2024, 62(1): 38-47.
[11] 冯世庆. 计算机视觉与腰椎退行性疾病[J]. 山东大学学报 (医学版), 2023, 61(3): 1-6.
[12] 吴南,仉建国,朱源棚,陈癸霖,陈泽夫. 人工智能在脊柱畸形诊疗中的应用[J]. 山东大学学报 (医学版), 2023, 61(3): 14-20.
[13] 黄霖,车圳,李明,李玉希,宁庆. 人工智能在骨科疾病诊治中的研究进展[J]. 山东大学学报 (医学版), 2023, 61(3): 37-45.
[14] 王政,孙小刚,李超,王连雷,李冬来,原所茂,田永昊,刘新宇. 机器人辅助MIS-TLIF与徒手开放TLIF治疗腰椎退行性疾病的比较:2年随访[J]. 山东大学学报 (医学版), 2023, 61(3): 97-106.
[15] 李超,孙小刚,李昊,田永昊,原所茂,刘新宇,王连雷. 机器人联合三维“C”型臂辅助置钉在44例脊柱侧弯矫形术中的应用价值[J]. 山东大学学报 (医学版), 2023, 61(3): 107-114.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2018 《山东大学学报(医学版)》编辑部　
地址:山东大学科技期刊社（济南市历城区山大南路27号山东大学中心校区明德楼B座721室） 电话: 0531-88366918 E-mail: xbyxb@sdu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发