Evidence map›Paper›PMID 28111644›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2016

3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions.

Wenfeng Xia, Simeon J West, Jean-Martial Mari, Sebastien Ourselin, Anna L David, Adrien E Desjardins

Open access · greenAbstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016. 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
6.2field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Advanced ultrasound for prenatal interventions.Ultrasonography (Seoul, Korea) · 2018
    Article
  5. Article
  6. Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017
    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

6 authors at 3 institutions in 2 countries.

Wenfeng XiaDepartment of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.
Simeon J WestDepartment of Anaesthesia, Main Theatres, Maple Bridge Link Corridor, Podium 3, University College Hospital, 235 Euston Road, London NW1 2BU, UK.
Jean-Martial MariGePaSud, University of French Polynesia, Faa'a 98702, French Polynesia.
Sebastien OurselinTranslational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, Wolfson House, London NW1 2HE, UK.
Anna L DavidInstitute for Women's Health, University College London, 86-96 Chenies Mews, London WC1E 6HX, UK.
Adrien E DesjardinsDepartment of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK.
University College London · GBUniversity College Hospital · GBUniversity of French Polynesia · PF

Funding

European Research Council 310970Wellcome Trust 101957
6 · The paper itself

Abstract

Ultrasound image guidance is widely used in minimally invasive procedures, including fetal surgery. In this context, maintaining visibility of medical devices is a significant challenge. Needles and catheters can readily deviate from the ultrasound imaging plane as they are inserted. When the medical device tips are not visible, they can damage critical structures, with potentially profound consequences including loss of pregnancy. In this study, we performed 3D ultrasonic tracking of a needle using a novel probe with a 1.5D array of transducer elements that was driven by a commercial ultrasound system. A fiber-optic hydrophone integrated into the needle received transmissions from the probe, and data from this sensor was processed to estimate the position of the hydrophone tip in the coordinate space of the probe. Golay coding was used to increase the signal-to-noise (SNR). The relative tracking accuracy was better than 0.4 mm in all dimensions, as evaluated using a water phantom. To obtain a preliminary indication of the clinical potential of 3D ultrasonic needle tracking, an intravascular needle insertion was performed in an

Indexed as

AlgorithmsAnimalsFemaleFetusImage-Guided BiopsyNeedlesPhantoms, ImagingPregnancyReproducibility of ResultsSensitivity and SpecificitySheepTransducersUltrasonography, Interventional

Identifiers

PMID28111644
PMCPMC5245771
OpenAlexW2525480803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.