Evidence map›Paper›PMID 41951899›Full record

ArticleAnnals of surgical oncology2026

Vector Physics Applied: A Strategic Approach to Optimized Retraction in Robotic Liver Surgery.

Fumihiro Kawano, Megan A Lim, Helen J Kemprecos, Kathryn Tsai, Daniel Cheah, Qianchen Zhang, Shadi Alshammary, Gregory Polites, Mark Cohen, Yoshihiro Mise and 2 more

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Article in Annals of surgical oncology, 2026. 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

12 authors.

Fumihiro KawanoCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Megan A LimCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Helen J KemprecosCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Kathryn TsaiCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Daniel CheahCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Qianchen ZhangCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Shadi AlshammaryCollege of Medicine Imam, Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Gregory PolitesCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Mark CohenCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Yoshihiro MiseJuntendo University Hospital, Tokyo, Japan.
Akio SaiuraJuntendo University Hospital, Tokyo, Japan.
Claudius ConradCarle Illinois College of Medicine and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA. cc@claudiusconrad.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic liver resection continues to expand; yet surgeons frequently face a fundamental limitation: there are not enough available "hands" to provide effective retraction.

methodsPatient-specific 3D liver models were reconstructed from contrast-enhanced CT using the SYNAPSE

resultsThree representative traction patterns were demonstrated: 1) combined ligament, gallbladder, suture, and robotic arm traction providing coordinated traction-counter-traction during parenchymal transection; 2) V-shaped suture traction with robotic arm counter-traction to open the transection plane; and 3) bilateral traction along the demarcation line for wide counter-traction in major hepatectomy. In all patterns, aligned traction vectors enabled stable visualization of the transection plane.

conclusionsThis multimodal, vector-based approach offers a reproducible method of addressing traction and counter-traction constraints inherent to robotic liver surgery. Integration of 3D simulation optimizes preoperative planning and facilitates safe and efficient parenchymal transection.

Indexed as

HepatectomyLiverLiver NeoplasmsRobotic Surgical ProceduresHumansImaging, Three-DimensionalTomography, X-Ray ComputedTractionLiver tumorRobotic: Robotic liver resectionTraction method

Identifiers

PMID41951899

What OpenQuestion holds

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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.