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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    

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

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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.
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