Evidence map›Paper›PMID 38708142›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

An augmented reality-guided biopsy system using a high-speed motion tracking and real-time registration platform.

Patric Bettati, Jeff Young, Armand Rathgeb, Nati Nawawithan, Jeffrey Gahan, Brett Johnson, Ryan Aspenleiter, Fintan Browne, Aditi Chaudhari, Aditya Guin and 5 more

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Novel view synthesis using neural radiance fields for laparoscopic surgery navigation.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  5. Review
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

15 authors.

Patric BettatiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Jeff YoungCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Armand RathgebCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Nati NawawithanCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Jeffrey GahanDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX.
Brett JohnsonDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX.
Ryan AspenleiterCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Fintan BrowneCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Aditi ChaudhariCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Aditya GuinCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Varin SikandCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Grant WebbCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Jeremy ShereyCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Alsadiq ShammetCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Baowei FeiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.

Funding

ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
A Real-Time Hyperspectral Laparoscopic Stereo Imaging System for Robot-Assisted SurgeryR01CA288379 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BAOWEI FEI · 2024 to 2026
$1.6M
NCI NIH HHS R01 CA204254NCI NIH HHS R01 CA288379
6 · The paper itself

Abstract

Biopsies play a crucial role in diagnosis of various diseases including cancers. In this study, we developed an augmented reality (AR) system to improve biopsy procedures and increase targeting accuracy. Our AR-guided biopsy system uses a high-speed motion tracking technology and an AR headset to display a holographic representation of the organ, lesions, and other structures of interest superimposed on real physical objects. The first application of our AR system is prostate biopsy. By incorporating preoperative scans, such as computed tomography (CT) or magnetic resonance imaging (MRI), into real-time ultrasound-guided procedures, this innovative AR-guided system enables clinicians to see the lesion as well as the organs in real time. With the enhanced visualization of the prostate, lesion, and surrounding organs, surgeons can perform prostate biopsies with an increased accuracy. Our AR-guided biopsy system yielded an average targeting accuracy of 2.94 ± 1.04 mm and can be applied for real-time guidance of prostate biopsy as well as other biopsy procedures.

Indexed as

Augmented realitybiopsyimage-guided procedureprostate cancerultrasound imaging

Identifiers

PMID38708142
PMCPMC11069180

What OpenQuestion holds

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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.