Evidence map›Paper›PMID 38623934›Full record

ArticleMagnetic resonance in medicine2024

In vivo T2 measurements of the fetal brain using single-shot fast spin echo sequences.

Suryava Bhattacharya, Anthony N Price, Alena Uus, Helena S Sousa, Massimo Marenzana, Kathleen Colford, Peter Murkin, Maggie Lee, Lucilio Cordero-Grande, Rui Pedro A G Teixeira and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 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
3.3field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Ultrafast and robustMagnetic resonance in medicine · 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

12 authors at 2 institutions in 2 countries.

Suryava BhattacharyaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-3177-3666
Anthony N PriceSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-6907-7554
Alena UusSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-5796-2145
Helena S SousaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Massimo MarenzanaCentre for the Developing Brain, King's College London, London, UK.
Kathleen ColfordCentre for the Developing Brain, King's College London, London, UK.
Peter MurkinGuy's and St Thomas' NHS Foundation Trust, London, UK.
Maggie LeeGuy's and St Thomas' NHS Foundation Trust, London, UK.
Lucilio Cordero-GrandeBiomedical Image Technologies, ETSI Telecomunicración, Universidad Politécnica de Madrid and CIBER-BBN, Madrid, Spain.ORCID 0000-0003-1477-304X
Rui Pedro A G TeixeiraSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-6508-9315
Shaihan J MalikSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-8925-9032
Maria DeprezSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-2799-6077
King's College London · GBBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ES

Funding

EPSRC Centre for Doctoral Training in Medical Imaging EP/S022104/1National Institute for Health Research Clinical Research FacilityWellcome/EPSRC Centre for Medical Engineering WT203148/Z/16/ZWellcome Trust 203148
6 · The paper itself

Abstract

purposeWe propose a quantitative framework for motion-corrected T2 fetal brain measurements in vivo and validate the single-shot fast spin echo (SS-FSE) sequence to perform these measurements.

methodsStacks of two-dimensional SS-FSE slices are acquired with different echo times (TE) and motion-corrected with slice-to-volume reconstruction (SVR). The quantitative T2 maps are obtained by a fit to a dictionary of simulated signals. The sequence is selected using simulated experiments on a numerical phantom and validated on a physical phantom scanned on a 1.5T system. In vivo quantitative T2 maps are obtained for five fetuses with gestational ages (GA) 21-35 weeks on the same 1.5T system.

resultsThe simulated experiments suggested that a TE of 400 ms combined with the clinically utilized TEs of 80 and 180 ms were most suitable for T2 measurements in the fetal brain. The validation on the physical phantom confirmed that the SS-FSE T2 measurements match the gold standard multi-echo spin echo measurements. We measured average T2s of around 200 and 280 ms in the fetal brain grey and white matter, respectively. This was slightly higher than fetal T2* and the neonatal T2 obtained from previous studies.

conclusionThe motion-corrected SS-FSE acquisitions with varying TEs offer a promising practical framework for quantitative T2 measurements of the moving fetus.

Indexed as

BrainFetusMagnetic Resonance ImagingPhantoms, ImagingAlgorithmsComputer SimulationFemaleGestational AgeHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMotionPregnancyReproducibility of Resultsdictionary fittingfetal brain MRImotion correctionrelaxometry

Identifiers

PMID38623934
PMCPMC7617281
OpenAlexW4394833183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.