Exploratory Clinical and Cost Evaluation of Robot-Assisted Adrenalectomy Using the hinotori™ Surgical Robotic System: A Single-Center Retrospective Study
Kotaro Obayashi, Takuya Nishino, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, Hayato Takeda, Yuki Endo, Yuka Toyama, Takayuki Takahashi, Jun Akatsuka · 2026
Read Exploratory Clinical and Cost Evaluation of Robot-Assisted Adrenalectomy Using the hinotori™ Surgical Robotic System: A Single-Center Retrospective Study by Kotaro Obayashi, Takuya Nishino, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, Hayato Takeda, Yuki Endo, Yuka Toyama, Takayuki Takahashi, Jun Akatsuka (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13500119.txt.
Description
Kotaro Obayashi and colleagues report in 2026 an early comparison of two surgical robots for removing adrenal glands at Nippon Medical School Hospital. One platform, hinotori, is Japan's first home-developed surgical robot, and proof of its feasibility remains thin. Adrenalectomy, a standardised keyhole operation with well-defined outcomes, served as the test case. Records covered patients treated between September 2023 and May 2025, with costs drawn from the national case-payment database.
Only twelve patients qualified, five with the new robot and seven with the established da Vinci system, and starting profiles were broadly similar. Operating, anaesthesia, and console times overlapped between groups in the reported medians, and total reimbursed cost per case was nearly identical. Every new-robot case finished safely without conversion or major complications, though the authors stress the tiny sample and excluded purchase and maintenance costs, keeping conclusions exploratory.
Catalog record
| CREATOR | Kotaro Obayashi, Takuya Nishino, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, Hayato Takeda, Yuki Endo, Yuka Toyama, Takayuki Takahashi, Jun Akatsuka |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 25230 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |