Evidence map›Paper›PMID 42867744›Full record

ArticleJournal of robotic surgery2026

Video-based analysis of camera-instrument distance dynamics and operative efficiency in expert and novice robot-assisted partial nephrectomy.

Kohei Kobatake, Yuki Kohada, Miki Naito, Shunsuke Miyamoto, Yohei Sekino, Hiroyuki Kitano, Keisuke Goto, Keisuke Hieda, Nobuyuki Hinata

Abstract read
In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kohei KobatakeDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. kkobatake@hiroshima-u.ac.jp.ORCID https://orcid.org/0000-0003-2098-3916
Yuki KohadaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Miki NaitoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Shunsuke MiyamotoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Yohei SekinoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Hiroyuki KitanoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Keisuke GotoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Keisuke HiedaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Nobuyuki HinataDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In robot-assisted partial nephrectomy (RAPN), experts and novices differ in many metrics, but it is unknown which difference relates to novice operative efficiency and whether it improves with early experience. We addressed these questions using routinely archived two-dimensional videos. We analyzed 155 RAPN by one expert (65) and eight novices (90). Deep learning tracked the right-hand instrument across 300,000 frames. In four operative phases (bowel mobilization to tumor resection), we computed working-tip kinematics (speed, path length, direction reversals), the tip's position in the surgeon's view, and the camera-instrument distance, reconstructed using the 8-mm shaft as a size reference. Distance stability was expressed as the standard deviation (SD) of the four phase medians (phase-to-phase distance SD). Console-time associations in novices were assessed by Spearman correlation and logistic regression adjusted for R.E.N.A.L. score and body mass index. The expert moved the working tip faster, with fewer direction reversals, more consistent tip placement in the view, and a more stable camera-instrument distance across phases (phase-to-phase SD 5.5 vs. 7.8 mm, P < 0.001). Within novices, the phase-to-phase SD was the only video-derived metric associated with console time (ρ = 0.41; adjusted odds ratio 1.24 per mm, 95% confidence interval 1.04-1.48). With experience, reversals decreased and median distance increased, but the phase-to-phase SD showed no detectable change. Among expert-novice differences, only the phase-to-phase stability of the camera-instrument distance was associated with console time in novices and showed no detectable change during early experience. Distance stability is a candidate training target that warrants prospective validation.

Indexed as

Clinical CompetenceNephrectomyRobotic Surgical ProceduresVideo RecordingBiomechanical PhenomenaDeep LearningHumansKinematic analysisLearning curveRobot-assisted partial nephrectomySurgical educationVideo-based assessment

Identifiers

PMID42867744
PMCPMC13661652

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.