Abstract
To compare the surgical outcomes of robot-assisted hysterectomy (RAH) for benign diseases using da Vinci SP (SP) and da Vinci Xi (Xi). A retrospective study with propensity score matching (PSM) analysis. An urban general hospital in Japan. 346 patients who underwent RAH at a single institution between May 2023 and April 2024. A 1:1 PSM analysis was performed using age, body mass index, number of previous deliveries, history of abdominal surgery, uterine weight, and severe endometriosis as covariates. Variables extracted for analysis included operative time, docking time, console time, estimated blood loss (EBL), hemoglobin drop, postoperative hospital stay, major intraoperative complication rates, and postoperative complication rates (Clavien–Dindo classification ≥ Grade 3), conversion to laparotomy, and blood transfusion requirements. After PSM, 262 patients (131 in each group) were included in this study. The median (range) of operative time, docking time, console time, EBL, and postoperative hospital stay were 94 (39–191) vs. 77 (33–194) min (p < 0.001), 2 (1–8) vs. 2 (1–6) min (p=0.088), 66 (27–178) vs. 62 (25–144) min (p=0.003), 5 (5–650) vs. 5 (5–350) mL (p=0.394), and 4 (3–15) vs. 4 (3–9) days (p=0.688), respectively, for SP and Xi groups. No major intraoperative complications, blood transfusions, or conversions to laparotomy were observed in either group. Postoperative complications occurred in 3.1% and 1.5% of patients of SP and Xi groups, respectively (p=0.684). The learning curve for RAH using SP indicated proficiency after eight cases. SP can be a safe alternative robotic platform to Xi for RAH.
Similar content being viewed by others
Data availability
No datasets were generated or analysed during the current study.
References
American College of Obstetricians and Gynecologists’ Committee on Gynecologic Practice, The Society of Gynecologic Surgeons (2020) Robot-assisted surgery for noncancerous gynecologic conditions: ACOG COMMITTEE OPINION. Obstet Gynecol 136:e22–e30. https://doi.org/10.1097/AOG.0000000000004048
Moawad G, Liu E, Song C, Fu AZ (2017) Movement to outpatient hysterectomy for benign indications in the United States, 2008–2014. PLoS ONE 12:e0188812. https://doi.org/10.1371/journal.pone.0188812
Pickett CM, Seeratan DD, Mol BWJ, Nieboer TE, Johnson N, Bonestroo T, Aarts JW (2023) Surgical approach to hysterectomy for benign gynaecological disease. Cochrane Database Syst Rev 8:CD003677. https://doi.org/10.1002/14651858.CD003677.pub6
Lawrie TA, Liu H, Lu D, Dowswell T, Song H, Wang L, Shi G (2019) Robot-assisted surgery in gynaecology. Cochrane Database Syst Rev 4:CD011422. https://doi.org/10.1002/14651858.CD011422.pub2
Tapper AM, Hannola M, Zeitlin R, Isojärvi J, Sintonen H, Ikonen TS (2014) A systematic review and cost analysis of robot-assisted hysterectomy in malignant and benign conditions. Eur J Obstet Gynecol Reprod Biol 177:1–10. https://doi.org/10.1016/j.ejogrb.2014.03.010
Lenfant L, Canlorbe G, Belghiti J, Kreaden US, Hebert AE, Nikpayam M, Uzan C, Azaïs H (2023) Robotic-assisted benign hysterectomy compared with laparoscopic, vaginal, and open surgery: a systematic review and meta-analysis. J Robot Surg 17:2647–2662. https://doi.org/10.1007/s11701-023-01724-6
Lim PC, Crane JT, English EJ, Farnam RW, Garza DM, Winter ML, Rozeboom JL (2016) Multicenter analysis comparing robotic, open, laparoscopic, and vaginal hysterectomies performed by high-volume surgeons for benign indications. Int J Gynaecol Obstet 133:359–364. https://doi.org/10.1016/j.ijgo.2015.11.010
Bogliolo S, Mereu L, Cassani C, Gardella B, Zanellini F, Dominoni M, Babilonti L, Delpezzo C, Tateo S, Spinillo A (2015) Robotic single-site hysterectomy: two institutions’ preliminary experience. Int J Med Robot 11:159–165. https://doi.org/10.1002/rcs.1613
Cela V, Freschi L, Simi G, Ruggiero M, Tana R, Pluchino N (2013) Robotic single-site hysterectomy: feasibility, learning curve and surgical outcome. Surg Endosc 27:2638–2643. https://doi.org/10.1007/s00464-012-2780-8
Riemma G, Pasanisi F, Reino A, Solazzo MC, Ronsini C (2023) Robotic single-site hysterectomy in gynecologic benign pathology: A systematic review of the literature. Medicina (Kaunas) 59:411. https://doi.org/10.3390/medicina59020411
Shin HJ, Yoo HK, Lee JH, Lee SR, Jeong K, Moon HS (2020) Robotic single-port surgery using the da VINCI SP® surgical system for benign gynecologic disease: a preliminary report. Taiwan J Obstet Gynecol 59:243–247. https://doi.org/10.1016/j.tjog.2020.01.012
Matsuura M, Nagao S, Kurokawa S, Tamate M, Akimoto T, Saito T (2024) Surgical outcomes of da VINCI Xi™ and da VINCI SP™ for early-stage endometrial cancer in patients undergoing hysterectomy. J Clin Med 13:2864. https://doi.org/10.3390/jcm13102864
Park SY, Cho EH, Jeong K, Yoo HK, Lee JH, Moon HS (2023) Robotic single-port hysterectomy versus robotic multisite hysterectomy in benign gynecologic diseases: a retrospective comparison of clinical and surgical outcomes. J Obstet Gynaecol Res 49:2746–2752. https://doi.org/10.1111/jog.15778
Miyamura H, Takada K, Ohwaki A, Kobayashi A, Ito M, Nomura H, Nishio E, Nishizawa H (2024) Initial experience and surgical outcomes of robotic-assisted total hysterectomy using the da VINCI SP surgical system. Asian J Endosc Surg 17:e13298. https://doi.org/10.1111/ases.13298
Seon KE, Lee YJ, Lee JY, Nam EJ, Kim S, Kim YT, Kim SW (2023) Comparing surgical outcomes of da Vinci SP and da Vinci Xi for endometrial cancer surgical staging in a propensity score-matched study. Sci Rep 13:11752. https://doi.org/10.1038/s41598-023-37659-z
Kobayashi E, Nagase T, Fujiwara K, Hada T, Ota Y, Takaki Y, Kanao H, Andou M (2012) Total laparoscopic hysterectomy in 1253 patients using an early ureteral identification technique. J Obstet Gynaecol Res 38:1194–1200. https://doi.org/10.1111/j.1447-0756.2012.01849.x
Kanno K, Andou M, Aiko K, Yoshino Y, Sawada M, Sakate S, Yanai S (2021) Robot-assisted nerve plane-sparing eradication of deep endometriosis with double-bipolar method. J Minim Invasive Gynecol 28:757–758. https://doi.org/10.1016/j.jmig.2020.07.018
Kanno K, Yanai S, Sawada M, Sakate S, Andou M (2024) Nerve-sparing deep endometriosis surgery with rectal discoid resection using da Vinci SP. Fertil Steril 122:758–760. https://doi.org/10.1016/j.fertnstert.2024.07.015
American Society for Reproductive Medicine (1997) Revised American society for reproductive medicine classification of endometriosis: 1996. Fertil Steril 67:817–821. https://doi.org/10.1016/s0015-0282(97)81391-x
Lee YJ, Lee DE, Bae J, Ha HI, Lim MC (2022) Learning curve analysis of single-site robot-assisted hysterectomy. J Clin Med 11:1378. https://doi.org/10.3390/jcm11051378
Lin PL, Zheng F, Shin M, Liu X, Oh D, D’Attilio D (2023) CUSUM learning curves: what they can and can’t tell us. Surg Endosc 37:7991–7999. https://doi.org/10.1007/s00464-023-10252-1
Leonardi M, Robledo KP, Gordijn SJ, Condous G (2022) A consensus-based core feature set for surgical complexity at laparoscopic hysterectomy. Am J Obstet Gynecol 226:700.e1-700.e9. https://doi.org/10.1016/j.ajog.2021.10.042
Higuchi N, Kanno K, Ochi Y, Sawada M, Sakate S, Yanai S, Andou M (2024) Effect of uterine weight on the surgical outcomes of robot-assisted hysterectomy in benign indications. Cureus 16:e56602. https://doi.org/10.7759/cureus.56602
Misal M, Magtibay PM, Yi J (2021) Robotic LESS and reduced-port hysterectomy using the da Vinci SP surgical system: a single-institution case series. J Minim Invasive Gynecol 28:1095–1100. https://doi.org/10.1016/j.jmig.2020.08.009
Heo JE, Han HH, Lee J, Choi YD, Jang WS (2024) Single-port robot-assisted pyeloplasty using the da Vinci SP system versus multi-port pyeloplasty: comparison of outcomes and costs. Asian J Surg 47:3841–3846. https://doi.org/10.1016/j.asjsur.2024.03.175
Cheon JH, Kim HE, Park SH, Yoon ES (2022) Ten-year experience of robotic latissimus muscle flap reconstructive surgery at a single institution. J Plast Reconstr Aesthet Surg 75:3664–3672. https://doi.org/10.1016/j.bjps.2022.06.009
Kanno K, Kurose Y, Yanai S, Andou M (2025) Robot-assisted nerve-sparing eradication of deep endometriosis using the da Vinci SP. J Minim Invasive Gynecol 32:217–218. https://doi.org/10.1016/j.jmig.2024.10.019
Kanno K, Andou M, Sawada M, Yanai S (2025) Segmental bowel resection for rectal endometriosis using the da Vinci SP. J Minim Invasive Gynecol 32:14. https://doi.org/10.1016/j.jmig.2024.08.005
Lenihan JP Jr, Kovanda C, Seshadri-Kreaden U (2008) What is the learning curve for robotic assisted gynecologic surgery? J Minim Invasive Gynecol 15:589–594. https://doi.org/10.1016/j.jmig.2008.06.015
Yotsumoto F, Sanui A, Ito T, Miyahara D, Yoshikawa K, Shigekawa K, Noguchi Y, Yasunaga S, Miyamoto S (2022) Cumulative summation analysis of learning curve for robotic-assisted hysterectomy in patients with gynecologic tumors. Anticancer Res 42:4111–4117. https://doi.org/10.21873/anticanres.15909
Acknowledgements
We would like to thank Editage (www.editage.jp) for their support in English-language editing.
Funding
The authors have not disclosed any funding.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Naofumi Higuchi and Kiyoshi Kanno. The first draft of the manuscript was written by Naofumi Higuchi and Kiyoshi Kanno, and all authors commented on previous versions of the manuscript. All authors read and approved of the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Supplementary file1 Online Resource 1 (Robot-assited hysterectomy using da Vinci SP) (MP4 184107 KB)
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Higuchi, N., Kanno, K., Onji, H. et al. Comparing approaches to benign hysterectomy using conventional multi-port and newer single-port robots: a propensity score matching analysis of surgical outcomes and literature review. J Robotic Surg 19, 320 (2025). https://doi.org/10.1007/s11701-025-02448-5
Received:
Accepted:
Published:
Version of record:
DOI: https://doi.org/10.1007/s11701-025-02448-5