Evidence map›Paper›PMID 42245293›Full record

ArticleFrontiers in surgery2026

Feasibility of intraoperative force quantification during robotic paraesophageal hernia repair: a prospective case series using integrated force-sensing technology.

Emily P Rabinovich, Lauren Carroll, Donovan Hui, Cullen Carter, Peter T Hallowell, Claire Foley, Allan Tsung, Thomas H Shin

Abstract read
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Article in Frontiers in 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Emily P RabinovichDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Lauren CarrollDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Donovan HuiDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Cullen CarterDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Peter T HallowellDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Claire FoleyDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Allan TsungDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.
Thomas H ShinDepartment of Surgery, University of Virginia Health System, Charlottesville, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Paraesophageal hernia repair (PEHR) is associated with high complication rates and 5-year recurrence rates of 30%-66%, with excessive tissue tension and trauma hypothesized as key contributors. However, intraoperative assessment remains qualitative, relying on surgeon perception rather than objective measurement. This study evaluates the feasibility of applying integrated force-sensing robotic technology to perform prospective, phase-segmented analysis of intraoperative tissue forces during PEHR and characterize force variability across defined operative phases. Methods: A prospective evaluation of integrated force-sensing technology was conducted across nine consecutive robotic PEHRs performed at a single academic center on the da Vinci 5 robotic platform. Force data were collected from two Cadiere forceps and one Mega SutureCut needle driver. Operative workflow was segmented Results: Force data were successfully captured across all nine cases for all operative phases performed in each case, with 832-2,297 measurements per phase. Distinct phase-specific force profiles were observed: mediastinal dissection (2.00-3.04N), crural tension assessment (1.50-3.35N), cruroplasty suturing (1.68-3.58N), and fundoplication (1.96-2.97N), which demonstrated the greatest consistency. Exploratory comparisons demonstrated that the force measurement framework detected statistically distinguishable force profiles between cases of varying complexity ( Conclusion: Quantification of phase-specific intraoperative forces during robotic PEHR is feasible using integrated force-sensing technology. Observed variability across operative phases and the ability to detect distinguishable force profiles across cases of varying complexity support further investigation to define clinically meaningful force thresholds and potential applications in surgical standardization and training.

Indexed as

force feedbackforegut surgeryparaesophageal hernia repairrobotic surgerysurgical approach standardizationsurgical biomechanicstraining

Identifiers

PMID42245293
PMCPMC13230167

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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.