Evidence map›Paper›PMID 40916022›Full record

ArticleAnnals of surgical oncology2025

Innovative Robotic Liver Resection with Extended Reality for Both Navigation and Medical Education by Three Separate Surgeons.

Yu Saito, Yuji Morine, Shinichiro Yamada, Hiroki Teraoku, Katsuki Miyazaki, Tetsuya Ikemoto, Mitsuo Shimada

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In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yu SaitoDepartment of Surgery, Tokushima University, Tokushima, Japan. saito.yu.1001@tokushima-u.ac.jp.
Yuji MorineDepartment of Surgery, Tokushima University, Tokushima, Japan.
Shinichiro YamadaDepartment of Surgery, Tokushima University, Tokushima, Japan.
Hiroki TeraokuDepartment of Surgery, Tokushima University, Tokushima, Japan.
Katsuki MiyazakiDepartment of Surgery, Tokushima University, Tokushima, Japan.
Tetsuya IkemotoDepartment of Surgery, Tokushima University, Tokushima, Japan.
Mitsuo ShimadaDepartment of Surgery, Tokushima University, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough magnification is an advantage of robotic liver resection (RLR) as it enables precise surgery, the direction of parenchymal dissection, the vascular anatomy, and the tumor location can sometimes be lost. Extended reality (XR) has advantages over other navigation systems in terms of spatial awareness, sharing, and simplicity, and it also has the potential to overcome some of the limitations of RLR.

resultsThe three surgeons continuously share operative information, which also serves as an educational resource for residents and medical students. A total blood loss was 20 ml, and operation time was 178 min. The patient was discharged on postoperative day 8.

conclusionsThis is the world's first report of RLR with XR, which is an innovative approach that can contribute not only to real-time navigation, but also to medical education.

Indexed as

Colorectal NeoplasmsEducation, MedicalHepatectomyLiver NeoplasmsRobotic Surgical ProceduresSurgeonsSurgery, Computer-AssistedHumansMaleMiddle AgedPrognosisExtended realityNavigationRobotic liver resection

Identifiers

PMID40916022

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.