Evidence map›Paper›PMID 37935920›Full record

ArticleSurgical endoscopy2023

Real-time telementoring with 3D drawing annotation in robotic surgery.

Tomonori Nakanoko, Eiji Oki, Mitsuhiko Ota, Naoki Ikenaga, Yuichi Hisamatsu, Takeo Toshima, Takahiro Kanno, Kotaro Tadano, Kenji Kawashima, Kenoki Ohuchida and 9 more

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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

19 authors at 8 institutions in 1 country.

Tomonori NakanokoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Eiji OkiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan. oki.eiji.857@m.kyushu-u.ac.jp.ORCID 0000-0002-9763-9366
Mitsuhiko OtaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Naoki IkenagaDepartment of Surgery and Oncology, Kyushu University, Fukuoka, Japan.
Yuichi HisamatsuDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, Japan.
Takeo ToshimaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, Japan.
Takahiro KannoRIVERFIELD Inc, Tokyo, Japan.
Kotaro TadanoRIVERFIELD Inc, Tokyo, Japan.
Kenji KawashimaRIVERFIELD Inc, Tokyo, Japan.
Kenoki OhuchidaDepartment of Surgery and Oncology, Kyushu University, Fukuoka, Japan.
Hajime MorohashiCommittee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
Yuma EbiharaCommittee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
Koshi MimoriDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, Japan.
Masafumi NakamuraDepartment of Surgery and Oncology, Kyushu University, Fukuoka, Japan.
Tomoharu YoshizumiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Kenichi HakamadaCommittee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
Satoshi HiranoCommittee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
Norihiko IkedaDepartment of Surgery, Tokyo Medical University, Tokyo, Japan.
Masaki MoriCommittee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.
Kyushu University · JPKyushu University Beppu Hospital · JPHirosaki University · JPHokkaido University · JPTokai University · JPTokyo Institute of Technology · JPTokyo Medical University · JPTokyo University of Information Sciences · JP

Funding

AMED 23hsa422001s0402
6 · The paper itself

Abstract

backgroundIn telementoring, differences in teaching methods affect local surgeons' comprehension. Because the object to be operated on is a three-dimensional (3D) structure, voice or 2D annotation may not be sufficient to convey the instructor's intention. In this study, we examined the usefulness of telementoring using 3D drawing annotations in robotic surgery.

methodsKyushu University and Beppu Hospital are located 140 km apart, and the study was conducted using a Saroa™ surgical robot by RIVERFIELD Inc. using a commercial guarantee network on optical fiber. Twenty medical students performed vertical mattress suturing using a swine intestinal tract under surgical guidance at the Center for Advanced Medical Innovation Kyushu University. Surgical guidance was provided by Beppu Hospital using voice, 2D, and 3D drawing annotations. All robot operations were performed using 3D images, and only the annotations were independently switched between voice and 2D and 3D images. The operation time, needle movement, and performance were also evaluated.

resultsThe 3D annotation group tended to have a shorter working time than the control group (25.6 ± 63.2 vs. - 36.7 ± 65.4 min, P = 0.06). The 3D annotation group had fewer retries than the control group (1.3 ± 1.7 vs. - 1.1 ± 0.7, P = 0.006), and there was a tendency for fewer needle drops (0.4 ± 0.7 vs. - 0.5 ± 0.9, P = 0.06). The 3D annotation group scored significantly higher than the control group on the Global Evaluate Assessment of Robot Skills (16.8 ± 2.0 vs. 22.8 ± 2.4, P = 0.04). The 3D annotation group also scored higher than the voice (13.4 ± 1.2) and 2D annotation (16.2 ± 1.8) groups (3D vs. voice: P = 0.03, 3D vs. 2D: P = 0.03).

conclusionTelementoring using 3D drawing annotation was shown to provide good comprehension and a smooth operation for local surgeons.

Indexed as

Robotic Surgical ProceduresSurgeonsAnimalsHumansImaging, Three-DimensionalIntestinesOperative TimeSwine3D line drawing annotationReal-time telementoringRobotic surgeryTelesurgery

Identifiers

PMID37935920
OpenAlexW4388453317

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.