Retzius-Sparing Robot-Assisted Radical Prostatectomy Using the Hinotori Surgical Robot System Platform: Report of the First Series of Experiences
Background: The aim of this study is to describe the first series of six patients undergoing Retzius-sparing robot-assisted radical prostatectomy (rs-RARP) using the hinotori surgical robot system (hinotori SRS) and to compare the treatment outcomes with those achieved with the da Vinci surgical pla...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-09-01
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| Series: | Current Oncology |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1718-7729/31/9/410 |
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| Summary: | Background: The aim of this study is to describe the first series of six patients undergoing Retzius-sparing robot-assisted radical prostatectomy (rs-RARP) using the hinotori surgical robot system (hinotori SRS) and to compare the treatment outcomes with those achieved with the da Vinci surgical platform. Methods: This study included 20 cases involving the rs-RARP procedure (hinotori: N = 6; da Vinci: N = 14) that were performed between May 2021 and April 2024 in a single institution. Results: No significant differences were observed between the hinotori and da Vinci groups regarding the preoperative findings. In the hinotori group, there were four cases of pT2 that showed negative surgical margins in all the cases. However, positive surgical margins were observed in two of the cases with pT3. The surgical outcomes were also similar between the two groups except for console time, which tended to be shorter in the da Vinci group (<i>p</i> = 0.058). There were no major complications in the initial six cases with the hinotori SRS. Immediate urinary continence was observed in 50% of the cases with the hinotori group compared with 64% for the da Vinci group. Conclusion: This is the first study to report cases of rs-RARP performed on a hinotori SRS. It seems that the hinotori SRS shows similar treatment outcomes compared with the cases treated via the da Vinci platform. |
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| ISSN: | 1198-0052 1718-7729 |