Evidence map›Paper›PMID 38708143›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

An augmented reality and high-speed optical tracking system for laparoscopic surgery.

Nati Nawawithan, Jeff Young, Patric Bettati, Armand P Rathgeb, Kelden T Pruitt, Jordan Frimpter, Henry Kim, Jonathan Yu, Davis Driver, Amanuel Shiferaw 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 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. Article
  2. Novel view synthesis using neural radiance fields for laparoscopic surgery navigation.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

15 authors.

Nati NawawithanCenter 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.
Patric BettatiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Armand P RathgebCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Kelden T PruittCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Jordan FrimpterCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Henry KimCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Jonathan YuCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Davis DriverCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Amanuel ShiferawCenter 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.
Brett A JohnsonDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX.
Jeffrey GahanDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX.
James YuCenter 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
Training Clinician Scientists as Outstanding Clinicians and Imaging ScientistsT32EB028093 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI ROBERT F MATTREY, Takeshi Yokoo · 2019 to 2026
$1.5M
NCI NIH HHS R01 CA204254NCI NIH HHS R01 CA288379NIBIB NIH HHS T32 EB028093
6 · The paper itself

Abstract

While minimally invasive laparoscopic surgery can help reduce blood loss, reduce hospital time, and shorten recovery time compared to open surgery, it has the disadvantages of limited field of view and difficulty in locating subsurface targets. Our proposed solution applies an augmented reality (AR) system to overlay pre-operative images, such as those from magnetic resonance imaging (MRI), onto the target organ in the user's real-world environment. Our system can provide critical information regarding the location of subsurface lesions to guide surgical procedures in real time. An infrared motion tracking camera system was employed to obtain real-time position data of the patient and surgical instruments. To perform hologram registration, fiducial markers were used to track and map virtual coordinates to the real world. In this study, phantom models of each organ were constructed to test the reliability and accuracy of the AR-guided laparoscopic system. Root mean square error (RMSE) was used to evaluate the targeting accuracy of the laparoscopic interventional procedure. Our results demonstrated a registration error of 2.42 ± 0.79 mm and a procedural targeting error of 4.17 ± 1.63 mm using our AR-guided laparoscopic system that will be further refined for potential clinical procedures.

Indexed as

Augmented realityimage-guided interventionlaparoscopic surgeryprostate cancerprostatectomy

Identifiers

PMID38708143
PMCPMC11069178

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.