Evidence map›Paper›PMID 36850436›Full record

ArticleSensors (Basel, Switzerland)2023

Augmented Reality-Assisted Ultrasound Breast Biopsy.

Nuno Costa, Luís Ferreira, Augusto R V F de Araújo, Bruno Oliveira, Helena R Torres, Pedro Morais, Victor Alves, João L Vilaça

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Nuno Costa2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0001-6195-5677
Luís Ferreira2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0001-9635-5372
Augusto R V F de Araújo2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0001-9659-9609
Bruno Oliveira2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0003-1616-2234
Helena R Torres2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0001-8407-3255
Pedro Morais2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0002-1995-7879
Victor AlvesAlgoritmi Center, School of Engineering, University of Minho, 4800-058 Guimaraes, Portugal.ORCID 0000-0003-1819-7051
João L Vilaça2Ai-School of Technology, IPCA, 4750-810 Barcelos, Portugal.ORCID 0000-0002-4196-5357

Funding

FCT and FCT/MCTES LASI-LA/P/0104/2020FCT and FCT/MCTES UIDB/05549/2020FCT and FCT/MCTES UIDP/05549/2020Northern Portugal Regional Operational Programme (NORTE 2020) NORTE-01-0145-FEDER-000045Northern Portugal Regional Operational Programme (NORTE 2020) NORTE-01-0145-FEDER-000059Programa Operacional Capital Humano (POCH) SFRH/BD/136670Programa Operacional Capital Humano (POCH) SFRH/BD/136721/2018
6 · The paper itself

Abstract

Breast cancer is the most prevalent cancer in the world and the fifth-leading cause of cancer-related death. Treatment is effective in the early stages. Thus, a need to screen considerable portions of the population is crucial. When the screening procedure uncovers a suspect lesion, a biopsy is performed to assess its potential for malignancy. This procedure is usually performed using real-time Ultrasound (US) imaging. This work proposes a visualization system for US breast biopsy. It consists of an application running on AR glasses that interact with a computer application. The AR glasses track the position of

Indexed as

Augmented RealityBiopsyFemaleHumansUltrasonographyUltrasonography, MammaryUser-Computer Interfaceaugmented realitybreast biopsyconvolutional neural networkslesion segmentationultrasound

Identifiers

PMID36850436
PMCPMC9961993

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.