Evidence map›Paper›PMID 38638497›Full record

ArticleHealthcare technology letters

Development of an augmented reality guidance system for head and neck cancer resection.

Guansen Tong, Jiayi Xu, Michael Pfister, Jumanh Atoum, Kavita Prasad, Alexis Miller, Michael Topf, Jie Ying Wu

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  2. Implementation of MedicalholodeckHealthcare (Basel, Switzerland) · 2025
    Article
  3. 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

8 authors at 2 institutions in 1 country.

Guansen TongComputer Science Department Vanderbilt University Nashville Tennessee USA.ORCID https://orcid.org/0000-0002-5370-6192
Jiayi XuComputer Science Department Vanderbilt University Nashville Tennessee USA.ORCID https://orcid.org/0009-0006-6108-1117
Michael PfisterComputer Science Department Vanderbilt University Nashville Tennessee USA.
Jumanh AtoumComputer Science Department Vanderbilt University Nashville Tennessee USA.
Kavita PrasadVanderbilt University Medical Center Nashville Tennessee USA.
Alexis MillerVanderbilt University Medical Center Nashville Tennessee USA.
Michael TopfVanderbilt University Medical Center Nashville Tennessee USA.
Jie Ying WuComputer Science Department Vanderbilt University Nashville Tennessee USA.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
NCI NIH HHS K12 CA090625
6 · The paper itself

Abstract

The use of head-mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three-dimensional (3D) holographic reconstructions of medical data. However, performing AR surgeries on complex areas such as the head and neck region poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumour margins in a cadaveric specimen. The authors present an intraoperative solution that enables surgeons to upload and visualize holographic reconstructions of resected cadaver tissues. The solution involves using a 3D scanner to capture detailed scans of the resected tissue, which are subsequently uploaded into our software. The software converts the scans of resected tissues into specimen holograms that are viewable through a head-mounted AR display. By re-aligning these holograms with cadavers with gestures or voice commands, surgeons can navigate the head and neck tumour site. This workflow can run concurrently with frozen section analysis. On average, the authors achieve an uploading time of 2.98 min, visualization time of 1.05 min, and re-alignment time of 4.39 min, compared to the 20 to 30 min typical for frozen section analysis. The authors achieve a mean re-alignment error of 3.1 mm. The authors' software provides a foundation for new research and product development for using AR to navigate complex 3D anatomy in surgery.

Indexed as

augmented realitysurgery

Identifiers

PMID38638497
PMCPMC11022213
OpenAlexW4389485986

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.