hinotoriTM vs. da Vinci®: propensity score-matched analysis of surgical outcomes of robot-assisted radical prostatectomy.
J Robot Surg
; 18(1): 130, 2024 Mar 18.
Article
in En
| MEDLINE
| ID: mdl-38498237
ABSTRACT
hinotori™ is a recently developed surgical robot system. The present study aims to compare intraoperative and postoperative outcomes of robot-assisted radical prostatectomy (RARP) by the hinotori™ system compared with those of the longer-established da Vinci® system. This study includes 100 consecutive patients who underwent RARP by da Vinci® and 60 patients who underwent RARP by hinotori™. To minimize imbalances of patient demographics between the two groups, 11 propensity score-matching was performed, and 43 patients each were assigned to the da Vinci® and hinotori™ groups after matching. In the propensity score-matched cohort, we could not find significant differences in patient demographics between the two groups. Surgical outcomes, operative time, and console time in the hinotori™ group were significantly longer than those in the da Vinci® group. Meanwhile, we could not find significant differences in other outcomes between the two groups, such as estimated blood loss, intraoperative complications, major postoperative complications (Clavien-Dindo grade 3 or 4) or length of hospital stay after surgery. The rate of positive cancer margin in the hinotori™ group was higher than that in the da Vinci® group, but significant difference could not be found between the two groups. Moreover, we could not find significant differences in urinary continence rates after surgery between the da Vinci® and hinotori™ groups. Our results suggest that the hinotori™ surgical robot system could provide comparable surgical outcomes to that of the da Vinci® system for patients undergoing RARP.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Robotics
/
Robotic Surgical Procedures
Limits:
Humans
/
Male
Language:
En
Journal:
J Robot Surg
/
J. robot. surg. (Internet)
/
Journal of robotic surgery (Internet)
Year:
2024
Document type:
Article
Affiliation country:
Country of publication: