Evidence map›Paper›PMID 36766672›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Tumor Lung Visualization and Localization through Virtual Reality and Thermal Feedback Interface.

Samir Benbelkacem, Nadia Zenati-Henda, Nabil Zerrouki, Adel Oulefki, Sos Agaian, Mostefa Masmoudi, Ahmed Bentaleb, Alex Liew

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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. Review
  2. Article
  3. Review
  4. Article
  5. Multimodal Diagnostics of Changes in Rat Lungs after Vaping.Diagnostics (Basel, Switzerland) · 2023
    Article
  6. 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

8 authors.

Samir BenbelkacemDivision Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.ORCID 0000-0002-6143-1790
Nadia Zenati-HendaDivision Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.
Nabil ZerroukiDivision Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.
Adel OulefkiDivision Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.
Sos AgaianComputer Science Department, City University of New York, New York, NY 10314, USA.
Mostefa MasmoudiDivision Robotique et Productique, Centre de Développement des Technologies Avancées, Baba Hassen 16081, Algeria.
Ahmed BentalebDépartement Image et Traitement de l'Information, Institue Mines-Télécom (IMT) Atlantique, 29238 Brest, France.
Alex LiewComputer Science Department, City University of New York, New York, NY 10314, USA.ORCID 0000-0002-7643-2235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization estimates that there were around 10 million deaths due to cancer in 2020, and lung cancer was the most common type of cancer, with over 2.2 million new cases and 1.8 million deaths. While there have been advances in the diagnosis and prediction of lung cancer, there is still a need for new, intelligent methods or diagnostic tools to help medical professionals detect the disease. Since it is currently unable to detect at an early stage, speedy detection and identification are crucial because they can increase a patient's chances of survival. This article focuses on developing a new tool for diagnosing lung tumors and providing thermal touch feedback using virtual reality visualization and thermal technology. This tool is intended to help identify and locate tumors and measure the size and temperature of the tumor surface. The tool uses data from CT scans to create a virtual reality visualization of the lung tissue and includes a thermal display incorporated into a haptic device. The tool is also tested by touching virtual tumors in a virtual reality application. On the other hand, thermal feedback could be used as a sensory substitute or adjunct for visual or tactile feedback. The experimental results are evaluated with the performance comparison of different algorithms and demonstrate that the proposed thermal model is effective. The results also show that the tool can estimate the characteristics of tumors accurately and that it has the potential to be used in a virtual reality application to "touch" virtual tumors. In other words, the results support the use of the tool for diagnosing lung tumors and providing thermal touch feedback using virtual reality visualization, force, and thermal technology.

Indexed as

thermal modelthermal sensationtumor localizationvirtual reality (VR)

Identifiers

PMID36766672
PMCPMC9914223

What OpenQuestion holds

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LicenceCC BY
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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.