Evidence map›Paper›PMID 31487004›Full record

ReviewMagma (New York, N.Y.)2020

Quantitative analysis of fetal magnetic resonance phantoms and recommendations for an anthropomorphic motion phantom.

Michael Shulman, Eunyoung Cho, Bipin Aasi, Jin Cheng, Saiee Nithiyanantham, Nicole Waddell, Dafna Sussman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Magma (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Development of fetal magnetic resonance imaging (MRI) phantom.Quantitative imaging in medicine and surgery · 2024
    Article
  3. Article
  4. 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

7 authors.

Michael ShulmanDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Eunyoung ChoDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Bipin AasiDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Jin ChengDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Saiee NithiyananthamDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Nicole WaddellDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada.
Dafna SussmanDepartment of Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada. dafna.sussman@ryerson.ca.ORCID http://orcid.org/0000-0001-9977-3131

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2018-04155
6 · The paper itself

Abstract

objectiveTo provide a review and quantitative analysis of the available fetal MR imaging phantoms. MATERIALS AND

methodsA literature search was conducted across Pubmed, Google Scholar, and Ryerson University Library databases to identify fetal MR imaging phantoms. Phantoms were graded on a semi-quantitative scale in regards to four evaluation categories: (1) anatomical accuracy in size and shape, (2) dielectric conductivity similar to the simulated tissue, (3) relaxation times similar to simulated tissue, and (4) physiological motion similar to fetal gross body, cardiovascular, and breathing motion. This was followed by statistical analysis to identify significant findings.

resultsSeventeen fetal phantoms were identified and had an average overall percentage accuracy of 26%, with anatomical accuracy being satisfied the most (56%) and physiological motion the least (7%). Phantoms constructed using 3D printing were significantly more accurate than conventionally constructed phantoms. DISCUSSION: Currently available fetal phantoms lack accuracy and motion simulation. 3D printing may lead to higher accuracy compared with traditional manufacturing. Future research needs to focus on properly simulating both fetal anatomy and physiological motion to produce a phantom that is appropriate for fetal MRI sequence development and optimization.

Indexed as

Phantoms, ImagingComputer SimulationEquipment DesignFemaleHeartHumansImaging, Three-DimensionalLungMagnetic Resonance ImagingMotionPrenatal DiagnosisPrinting, Three-DimensionalReproducibility of ResultsRespirationUterus3D printingAccuracy assessmentArtifactsFetusImagingMagnetic Resonance ImagingPhantomsSynthesis methods

Identifiers

PMID31487004

What OpenQuestion holds

Textmetadata
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.