Annals of Coloproctology

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Original Article

Minimally invasive surgery

Propensity score–matched comparison of robot-assisted rectal cancer surgery using hinotori and da Vinci: Hidetoshi Katsuno, Koji Morohara, Tomoyoshi Endo, Kenji Kikuchi, Kenichi Nakamura, Kazuhiro Matsuo, Takahiko Higashiguchi, Tetsuya Koide, Hiromi Kanai, Satoshi Arakawa, Tsunekazu Hanai, Zenichi Morise; Ann Coloproctol. 2025;41(4):310-318. Published online August 25, 2025; DOI: https://doi.org/10.3393/ac.2025.00136.0019

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Purpose
The hinotori Surgical Robot System (hereafter “hinotori”) is a novel platform for robot-assisted surgery, while the da Vinci Surgical System (“da Vinci”) remains the field standard. This study compared short-term surgical outcomes of rectal cancer surgery between these systems using propensity score–matched analysis.
Methods
A retrospective analysis was conducted of 209 consecutive patients who underwent robot-assisted surgery with the da Vinci and 58 patients with the hinotori system. After 2:1 propensity score matching, 108 da Vinci and 54 hinotori cases were included. Surgical outcomes, including operative time, blood loss, postoperative complications, length of hospital stay, and pathological findings, were compared.
Results
After matching, the baseline demographics were well balanced between groups. The hinotori system was associated with significantly longer operative time (266 minutes vs. 227 minutes, P=0.014) and console time (156 minutes vs. 110 minutes, P=0.001). However, estimated blood loss and postoperative complication rate did not differ significantly. Pathological findings, including the number of lymph nodes retrieved and the incidence of positive surgical margins, were comparable between systems.
Conclusion
In rectal surgery, the hinotori system demonstrates comparable short-term safety outcomes to da Vinci. Despite longer operative times and limited integrated instrumentation, hinotori‐assisted procedures may be feasible in selected patients. Further research should address long-term oncological outcomes and strategies to improve procedural efficiency.

Citations

Citations to this article as recorded by

Racing toward the future of robot-assisted rectal cancer surgery: a comparative study of hinotori and da Vinci
Sung Uk Bae
Annals of Coloproctology.2025; 41(4): 259. CrossRef

Review

Applications of propensity score matching: a case series of articles published in Annals of Coloproctology: Hwa Jung Kim; Ann Coloproctol. 2022;38(6):398-402. Published online December 28, 2022; DOI: https://doi.org/10.3393/ac.2022.01060.0151

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3 Web of Science
3 Citations

Abstract PDF

Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations. The purpose of this study is to provide a nonmathematical guide for clinicians at the stage of designing a PSM-based study. We provide a seed of thought for considering whether applying PSM would be appropriate and, if so, the scope of the list of variables. Although PSM may be simple, its results could vary substantially according to how the propensity score is constructed. Misleading results can be avoided through a critical review of the process of PSM.

Citations

Citations to this article as recorded by

Social and Behavioral Determinants of Healthcare-Seeking and Satisfaction Among Rural Adults in Bangladesh: A Propensity Score Analysis
Syed Billal Hossain, Md. Mizanoor Rahman, Kapashia Binte Giash, Md. Hazrat Ali, ABM Alauddin Chowdhury
INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2026;[Epub] CrossRef
An analysis of exogenous harmful substance exposure as risk factors for COPD and hypertension co-morbidity using PSM
Qingyang Chen, Haodong Zhou, Jiarong Tang, Yingbiao Sun, Geriletu Ao, Hongjun Zhao, Xuhong Chang
Frontiers in Public Health.2024;[Epub] CrossRef
Impact of Postoperative Naples Prognostic Score to Predict Survival in Patients with Stage II–III Colorectal Cancer
Su Hyeong Park, Hye Seung Woo, In Kyung Hong, Eun Jung Park
Cancers.2023; 15(20): 5098. CrossRef

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