Evidence map›Paper›PMID 39791932›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2025

Neural Radiance Fields (NeRF) for 3D Reconstruction of Monocular Endoscopic Video in Sinus Surgery.

Jeremy S Ruthberg, Randall Bly, Nicole Gunderson, Pengcheng Chen, Mahdi Alighezi, Eric J Seibel, Waleed M Abuzeid

Abstract read
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In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Integration of Trackerless Surface Reconstruction-Based Surgical Navigation With Exoscopic Trans-Mastoid Surgery.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Article
  4. Article
  5. Review
  6. High-Fidelity 3D Reconstruction for Accurate Anatomical Measurements in Endoscopic Sinus Surgery.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    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

7 authors.

Jeremy S RuthbergDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-1116-1817
Randall BlyDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, USA.
Nicole GundersonDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Pengcheng ChenDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Mahdi AligheziSchool of Medicine, University of Washington, Seattle, Washington, USA.
Eric J SeibelDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, USA.
Waleed M AbuzeidDepartment of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, USA.

Funding

Research Training in OtolaryngologyT32DC000018 · NIDCD · UNIVERSITY OF WASHINGTON · PI STONE, JENNIFER S. · 1989 to 2023
$7.8M
Clinician-Scientist Research Education and Training in OtolaryngologyR25DC021791 · NIDCD · UNIVERSITY OF WASHINGTON · PI Jay T. Rubinstein, Jennifer S. Stone · 2024 to 2026
$1.6M
NIDCD NIH HHS R25 DC021791NIDCD NIH HHS T32 DC000018
6 · The paper itself

Abstract

objectiveTo validate the use of neural radiance fields (NeRF), a state-of-the-art computer vision technique, for rapid, high-fidelity 3-dimensional (3D) reconstruction in endoscopic sinus surgery (ESS). STUDY

designAn experimental cadaveric pilot study.

settingAcademic medical center.

methodsComplete bilateral endoscopic sinus surgery was performed on 3 cadaveric specimens, followed by postsurgical nasal endoscopy using a 0° rigid endoscope. NeRF was utilized to generate 3D reconstructions from the monocular endoscopic video feed. Reconstructions were calibrated, scaled, and then co-registered to postoperative computed tomography (CT) image sets to assess accuracy. Reconstruction error was determined by comparing ethmoid sinus measurements on NeRF reconstructions and CT image sets.

resultsNeRF-based 3D scene reconstructions were successfully generated and co-registered to corresponding CT images for 5 out of 6 cadaveric nasal cavity sides. The mean reconstruction errors and standard error of the mean (SEM) for ethmoid length and height were 0.17 (SEM 0.59) and 0.70 (SEM 0.44) mm, respectively.

conclusionNeRF demonstrates significant potential for dynamic, high-fidelity 3D surgical field reconstruction in ESS, offering submillimeter accuracy comparable to postoperative CT data in cadaveric specimens. This innovative approach may ultimately augment dynamic real-time intraoperative navigation through co-registration of the 3D reconstruction with preoperative imaging to potentially reduce the risk of injury to critical structures, optimize surgical completeness and, thereby, improve surgical outcomes. Further refinement and validation in live surgical settings are necessary to fully realize its clinical utility.

Indexed as

EndoscopyImaging, Three-DimensionalParanasal SinusesCadaverHumansPilot ProjectsTomography, X-Ray Computed3D reconstructioncomputer‐assisted surgerycomputer visionendoscopic sinus surgeryneural radiance fieldsskull‐base surgery

Identifiers

PMID39791932
PMCPMC12047414

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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.