Anterior|Próximo

Medicina inteligente em foco: as 5 etapas da evolução da cirurgia assistida por robô para câncer de próstata nos últimos 20 anos e suas implicações futuras

  • role： Contribute equally, First author同等贡献者, 第一作者
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Jia-Kun Li12,  
  • role： Contribute equally同等贡献者
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

    Department of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, 15001 A Coruña, Spain

Tong Tang23,  
  • role： Contribute equally同等贡献者
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Hui Zong2,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Er-Man Wu2,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Jing Zhao2,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Rong-Rong Wu2,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

    Chinese Academy of Medical Science Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX1 2JD, UK

Xiao-Nan Zheng124,  
  • Affiliation：

    Department of Radiology, National Clinical Research Center for Geriatric Diseases/the Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China

Heng Zhang5,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Yi-Fan Li1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Xiang-Hong Zhou1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Chi-Chen Zhang1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Zi-Long Zhang1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Yi-Hang Zhang1,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Wei-Zhe Feng2,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Yi Zhou2,  
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

Jiao Wang2,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Qi-Yu Zhu1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Qi Deng1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Jia-Ming Zheng1,  
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

Lu Yang1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Department of Urology, West China Hospital, Sichuan University, Chengdu 610041, China

  • Email：weiqiang163163@163.com
  • Introduction：* weiqiang163163@163.com
Qiang Wei1*,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China

  • Email：bairong.shen@scu.edu.cn
  • Introduction：bairong.shen@scu.edu.cn
Bai-Rong Shen2*

Resumo

Robot-assisted surgery has evolved into a crucial treatment for prostate cancer (PCa). However, from its appearance to today, brain-computer interface, virtual reality, and metaverse have revolutionized the field of robot-assisted surgery for PCa, presenting both opportunities and challenges. Especially in the context of contemporary big data and precision medicine, facing the heterogeneity of PCa and the complexity of clinical problems, it still needs to be continuously upgraded and improved. Keeping this in mind, this article summarized the 5 stages of the historical development of robot-assisted surgery for PCa, encompassing the stages of emergence, promotion, development, maturity, and intelligence. Initially, safety concerns were paramount, but subsequent research and engineering advancements have focused on enhancing device efficacy, surgical technology, and achieving precise multi modal treatment. The dominance of da Vinci robot-assisted surgical system has seen this evolution intimately tied to its successive versions. In the future, robot-assisted surgery for PCa will move towards intelligence, promising improved patient outcomes and personalized therapy, alongside formidable challenges. To guide future development, we propose 10 significant prospects spanning clinical, research, engineering, materials, social, and economic domains, envisioning a future era of artificial intelligence in the surgical treatment of PCa.

Palavras-chave

Robotic surgical system;Prostate cancer (PCa);Robot-assisted radical prostatectomy (RARP);Intelligent medicine

References

  1. 1..
    Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17–48.
  2. 2..
    Helgstrand JT, Røder MA, Klemann N, Toft BG, Lichtensztajn DY, Brooks JD, et al. Trends in incidence and 5-year mortality in men with newly diagnosed, metastatic prostate cancer—a population-based analysis of 2 national cohorts. Cancer. 2018;124(14):2931–8.
  3. 3..
    Mottet N, van den Bergh RCN, Briers E, van den Broeck T, Cumberbatch MG, De Santis M, et al. EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer-2020 update. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol. 2021;79(2):243–62.
  4. 4..
    Vilela M, Hochberg LR. Applications of brain-computer interfaces to the control of robotic and prosthetic arms. Handb Clin Neurol. 2020;168:87–99.
  5. 5..
    Checcucci E, Verri P, Amparore D, Cacciamani GE, Rivas JG, Autorino R, et al. The future of robotic surgery in urology: from augmented reality to the advent of metaverse. Ther Adv Urol. 2023;15:17562872231151852.
  6. 6..
    Pandav K, Te AG, Tomer N, Nair SS, Tewari AK. Leveraging 5G technology for robotic surgery and cancer care. Cancer Rep (Hoboken). 2022;5(8):e1595.
  7. 7..
    van Leeuwen FWB, van der Hage JA. Where robotic surgery meets the metaverse. Cancers (Basel). 2022;14(24):6161.
  8. 8..
    Binder J, Kramer W. Robotically-assisted laparoscopic radical prostatectomy. BJU Int. 2001;87(4):408–10.
  9. 9..
    Schiavina R, Bianchi L, Lodi S, Cercenelli L, Chessa F, Bortolani B, et al. Real-time augmented reality three-dimensional guided robotic radical prostatectomy: preliminary experience and evaluation of the impact on surgical planning. Eur Urol Focus. 2021;7(6):1260–7.
  10. 10..
    Li CC, Chien TM, Lee MR, Lee HY, Ke HL, Wen SC, et al. Extraperitoneal robotic laparo-endoscopic single-site plus1-port radical prostatectomy using the da Vinci single-site platform. J Clin Med. 2021;10(8):1563.
  11. 11..
    Raman JD, Dong S, Levinson A, Samadi D, Scherr DS. Robotic radical prostatectomy: operative technique, outcomes, and learning curve. JSLS. 2007;11(1):1–7.
  12. 12..
    Schroeck FR, Krupski TL, Sun L, Albala DM, Price MM, Polascik TJ, et al. Satisfaction and regret after open retropubic or robot-assisted laparoscopic radical prostatectomy. Eur Urol. 2008;54(4):785–93.
  13. 13..
    Artibani W, Fracalanza S, Cavalleri S, Iafrate M, Aragona M, Novara G, et al. Learning curve and preliminary experience with da Vinci-assisted laparoscopic radical prostatectomy. Urol Int. 2008;80(3):237–44.
  14. 14..
    Dasgupta P, Kirby RS. The current status of robot-assisted radical prostatectomy. Asian J Androl. 2009;11(1):90–3.
  15. 15..
    Tang K, Jiang K, Chen H, Chen Z, Xu H, Ye Z. Robotic vs. retropubic radical prostatectomy in prostate cancer: a systematic review and an meta-analysis update. Oncotarget. 2017;8(19):32237–57.
  16. 16..
    Luo C, Yang B, Ou Y, Wei Y, Wang Y, Yuan J, et al. Experience with an innovative surgical approach: 321 cases modified extraperitoneal single-incision robot-assisted laparoscopic radical prostatectomy without dedicated PORT based on Da Vinci SI system. J Robot Surg. 2023;17(4):1659–67.
  17. 17..
    Coughlin GD, Yaxley JW, Chambers SK, Occhipinti S, Samaratunga H, Zajdlewicz L, et al. Robot-assisted laparoscopic prostatectomy versus open radical retropubic prostatectomy: 24-month outcomes from a randomised controlled study. Lancet Oncol. 2018;19(8):1051–60.
  18. 18..
    Son SJ, Lee SC, Jeong CW, Jeong SJ, Byun SS, Lee SE. Comparison of continence recovery between robot-assisted laparoscopic prostatectomy and open radical retropubic prostatectomy: a single surgeon experience. Korean J Urol. 2013;54(9):598–602.
  19. 19..
    Hyams ES, Mullins JK, Pierorazio PM, Partin AW, Allaf ME, Matlaga BR. Impact of robotic technique and surgical volume on the cost of radical prostatectomy. J Endourol. 2013;27(3):298–303.
  20. 20..
    Wang JG, Huang J, Chin AI. RARP in high-risk prostate cancer: use of multi-parametric MRI and nerve sparing techniques. Asian J Androl. 2014;16(5):715–9.
  21. 21..
    Badawi O, Breslow MJ. Readmissions and death after ICU discharge: development and validation of two predictive models. PLoS One. 2012;7(11): e48758.
  22. 22..
    Ploussard G, Albrand G, Rozet F, Lang H, Paillaud E, Mongiat-Artus P. Challenging treatment decision-making in older urologic cancer patients. World J Urol. 2014;32(2):299–308.
  23. 23..
    Meershoek P, van Oosterom MN, Simon H, Mengus L, Maurer T, van Leeuwen PJ, et al. Robot-assisted laparoscopic surgery using DROP-IN radioguidance: first-in-human translation. Eur J Nucl Med Mol Imaging. 2019;46(1):49–53.
  24. 24..
    Asimakopoulos AD, Topazio L, De Angelis M, Agrò EF, Pastore AL, Fuschi A, et al. Retzius-sparing versus standard robot-assisted radical prostatectomy: a prospective randomized comparison on immediate continence rates. Surg Endosc. 2019;33(7):2187–96.
  25. 25..
    Jun IJ, Kim M, Lee J, Park SU, Hwang JH, Hong JH, et al. Effect of mannitol on ultrasonographically measured optic nerve sheath diameter as a surrogate for intracranial pressure during robot-assisted laparoscopic prostatectomy with pneumoperitoneum and the trendelenburg position. J Endourol. 2018;32(7):608–13.
  26. 26..
    Yu J, Hong JH, Park JY, Hwang JH, Cho SS, Kim YK. Propofol attenuates the increase of sonographic optic nerve sheath diameter during robot-assisted laparoscopic prostatectomy: a randomized clinical trial. BMC Anesthesiol. 2018;18(1):72.
  27. 27..
    Kaouk J, Bertolo R, Eltemamy M, Garisto J. Single-Port robot-assisted radical prostatectomy: first clinical experience using the SP surgical system. Urology. 2019;124:309.
  28. 28..
    Bodar YJL, Zwezerijnen BGJC, van der Voorn PJ, Jansen BHE, Smit RS, Kol SQ, et al. Prospective analysis of clinically significant prostate cancer detection with 18FDCFPyL PET/MRI compared to multiparametric MRI: a comparison with the histopathology in the radical prostatectomy specimen, the ProStaPET study. Eur J Nucl Med Mol Imaging. 2022;49(5):1731–42.
  29. 29..
    Rajih E, Tholomier C, Cormier B, Samouëlian V, Warkus T, Liberman M, et al. Error reporting from the da Vinci surgical system in robotic surgery: a Canadian multispecialty experience at a single academic centre. Can Urol Assoc J. 2017;11(5):E197-202.
  30. 30..
    Fan S, Zhang Z, Wang J, Xiong S, Dai X, Chen X, et al. Robot-assisted radical prostatectomy using the KangDuo surgical robot-01 system: a prospective, single-center, single-arm clinical study. J Urol. 2022;208(1):119–27.
  31. 31..
    Fan S, Hao H, Chen S, et al. Robot-assisted laparoscopic radical prostatectomy using the KangDuo surgical robot system vs. the da Vinci Si robotic system. J Endourol. 2023;37(5):568–74.
  32. 32..
    Vittori G, Bacchiani M, Grosso AA, et al. Computer-aided diagnosis in prostate cancer: a retrospective evaluation of the Watson Elementary® system for preoperative tumor characterization in patients treated with robot-assisted radical prostatectomy. World J Urol. 2023;41(2):435–41.
  33. 33..
    Goldenberg SL, Nir G, Salcudean SE. A new era: artificial intelligence and machine learning in prostate cancer. Nat Rev Urol. 2019;16(7):391–403.
  34. 34..
    Tătaru OS, Vartolomei MD, Rassweiler JJ, Virgil O, Lucarelli G, Porpiglia F, et al. Artificial intelligence and machine learning in prostate cancer patient management-current trends and future perspectives. Diagnostics (Basel). 2021;11(2):354.
  35. 35..
    Ju W, Zheng R, Zhang S, Zeng H, Sun K, Wang S, et al. Cancer statistics in Chinese older people, 2022: current burden, time trends, and comparisons with the US, Japan, and the Republic of Korea. Sci China Life Sci. 2023;66(5):1079–91.
  36. 36..
    Morozov A, Taratkin M, Bazarkin A, Rivas JG, Puliatti S, Checcucci E, et al. A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading. Prostate Cancer Prostatic Dis. 2023;26(4):681–92.
  37. 37..
    Gu L, Yin C, Jia T, He K, Ma X, Zhang X. Robotic surgery in China. Innovation (Camb). 2023;4(5): 100499.
  38. 38..
    Chu TN, Wong EY, Ma R, Yang CH, Dalieh IS, Hung AJ. Exploring the use of artificial intelligence in the management of prostate cancer. Curr Urol Rep. 2023;24(5):231–40.
  39. 39..
    Li J, Tang T, Wu E, Zhao J, Zong H, Wu R, et al. RARPKB: a knowledge-guide decision support platform for personalized robot-assisted surgery in prostate cancer. Int J Surg. 2024;110(6): 3412–24.
  40. 40..
    Dang A, Dang D, Vallish BN. Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: a scoping review. Indian J Med Res. 2023;157(1):11–22.
  41. 41..
    Koch A, Schlenker B, Becker A, Weigl M. Operating room team strategies to reduce flow disruptions in high-risk task episodes: resilience in robot-assisted surgery. Ergonomics. 2023;66(8):1118–31.
  42. 42..
    Bruun B, Poulsen JL, Møhl P, Spanager L. Is non-stop always better? Examining assumptions behind the concept of flow disruptions in studies of robot-assisted surgery. J Robot Surg. 2022;16(3):731–3.
  43. 43..
    Zhang Y, Zhang X, Cheng Y, Li B, Teng X, Zhang J, et al. Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling. Mil Med Res. 2023;10(1):22.
  44. 44..
    Zhao L, Liu Z, Xie W, Shao L, Lu J, Tian J, et al. What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?. Mil Med Res. 2023;10(1):29.
  45. 45..
    Day EK, Galbraith NJ, Ward H, Roxburgh CS. Volume-outcome relationship in intra-abdominal robotic-assisted surgery: a systematic review. J Robot Surg. 2023;17(3):811–26.
  46. 46..
    Khanmammadova N, Shahait M, Nguyen TT, et al. Assessing decision regret in patients with same-day discharge pathway after robot-assisted radical prostatectomy. J Endourol. 2024;38(1): 23–9.

Leia o texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website