Evidence map›Paper›PMID 40150735›Full record

ArticleBioengineering (Basel, Switzerland)2025

Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study.

Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D de Smet, Zoltán Zsolt Nagy, Matthias D Becker and 1 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Toward comprehensive real-time scene understanding in ophthalmic surgery through multimodal image fusion.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Real-Time High-Resolution OCT for Imaging Retinal and Choroidal Blood Flow.Investigative ophthalmology & visual science · 2026
    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

11 authors.

Ferhat TurgutDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.ORCID 0000-0002-8118-1610
Keisuke UedaMedical Dataway AG, 6300 Zug, Switzerland.ORCID 0009-0006-8132-4008
Amr SaadDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.ORCID 0000-0002-0574-6739
Tahm SpitznagelDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.ORCID 0009-0005-3639-8289
Luca von FeltenMedical Dataway AG, 6300 Zug, Switzerland.
Takashi MatsumotoMedical Dataway AG, 6300 Zug, Switzerland.
Rui SantosDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.
Marc D de SmetNew York Eye and Ear Infirmary of Mt Sinai, Icahn School of Medicine, New York, NY 10029, USA.ORCID 0000-0002-9217-5603
Zoltán Zsolt NagyDepartment of Ophthalmology, Semmelweis University, 1428 Budapest, Hungary.
Matthias D BeckerDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.
Gábor Márk SomfaiDepartment of Ophthalmology, Stadtspital Zürich, 8063 Zurich, Switzerland.ORCID 0000-0001-6329-442X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: The process of epiretinal membrane peeling (MP) requires precise intraoperative visualization to achieve optimal surgical outcomes. This study investigates the integration of preoperative Optical Coherence Tomography (OCT) images into real-time surgical video feeds, providing a dynamic overlay that enhances the decision-making process during surgery. (2) Methods: Five MP surgeries were analyzed, where preoperative OCT images were first manually aligned with the initial frame of the surgical video by selecting five pairs of corresponding points. A homography transformation was then computed to overlay the OCT onto that first frame. Subsequently, for consecutive frames, feature point extraction (the Shi-Tomasi method) and optical flow computation (the Lucas-Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. By improving surgical precision while potentially reducing complications, this technique benefits both surgeons and patients. Furthermore, the integration of OCT overlays holds promise for advancing robot-assisted surgery and surgical training protocols. This pilot study establishes the feasibility of real-time OCT integration in MP and opens avenues for broader applications in vitreoretinal procedures.

Indexed as

epiretinal membrane peelingfeature point alignmentintraoperative visualizationreal-time optical coherence tomographyrobot-assisted surgerysurgical image processingsurgical trainingvitreoretinal surgery

Identifiers

PMID40150735
PMCPMC11939761

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.