Evidence map›Paper›PMID 34246829›Full record

ArticleEuropean journal of obstetrics, gynecology, and reproductive biology2021

Assessment of the fetal thymus gland: Comparing MRI-acquired thymus volumes with 2D ultrasound measurements.

Rebecca Myers, Jana Hutter, Jacqueline Matthew, Tong Zhang, Alena Uus, David Lloyd, Alexia Egloff, Maria Deprez, Surabhi Nanda, Mary Rutherford and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of obstetrics, gynecology, and reproductive biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. 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

11 authors at 4 institutions in 2 countries.

Rebecca MyersKing's College London School of Bioscience, St George's, University of London, UK.
Jana HutterDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Jacqueline MatthewDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Tong ZhangArtificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China.
Alena UusDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
David LloydDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Alexia EgloffDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Maria DeprezDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Surabhi NandaDepartment of Fetal Medicine, St Thomas' Hospital London, UK.
Mary RutherfordDepartment of Perinatal Imaging, School of Biomedical Engineering, King's College London, UK.
Lisa StoryDepartment of Fetal Medicine, St Thomas' Hospital London, UK; Department of Women and Children's Health King's College London, UK. Electronic address: lisa.story@kcl.ac.uk.
King's College School · GBSt Thomas' Hospital · GBPeng Cheng Laboratory · CNSt George's, University of London · GB

Funding

Medical Research Council MC_PC_17164Medical Research Council MR/T018119/1Wellcome Trust 102431Wellcome Trust 203148
6 · The paper itself

Abstract

objectivesThe fetal thymus gland has been shown to involute in response to intrauterine infection, and therefore could be used as a non-invasive marker of fetal compartment infection. The objective of this study was to evaluate how accurately 2D ultrasound-derived measurements of the fetal thymus reflect the 3D volume of the gland derived from motion corrected MRI images. STUDY

designA retrospective study was performed using paired ultrasound and MRI datasets from the iFIND project (http://www.ifindproject.com). To obtain 3D volumetry of the thymus gland, T2-weighted single shot turbo spin echo (ssTSE) sequences of the fetal thorax were acquired. Thymus volumes were manually segmented from deformable slice-to-volume reconstructed images. To obtain 2D ultrasound measurements, previously stored fetal cine loops were used and measurements obtained at the 3-vessel-view (3VV) and 3-vessel-trachea view (3VT): anterior-posterior diameter (APD), intrathoracic diameter (ITD), transverse diameter (TD), perimeter and 3-vessel-edge (3VE). Inter-observer and intra-observer reliability (ICC) was calculated for both MRI and ultrasound measurements. Pearson correlation coefficients (PCC) were used to compare 2D-parameters with acceptable ICC to TV.

results38 participants were identified. Adequate visualisation was possible on 37 MRI scans and 31 ultrasound scans. Of the 30 datasets where both MRI and ultrasound data were available, MRI had good interobserver reliability (ICC 0.964) and all ultrasound 3VV 2D-parameters and 3VT 3VE had acceptable ICC (>0.75). Four 2D parameters were reflective of the 3D thymus volume: 3VV TD r = 0.540 (P = 0.002); 3VV perimeter r = 0.446 (P = 0.013); 3VV APD r = 0.435 (P = 0.110) and 3VT TD r = 0.544 (P = 0.002).

conclusionsMRI appeared superior to ultrasound for visualization of the thymus gland and reproducibility of measurements. Three 2D US parameters, 3VV TD, perimeter and 3VT APD, correlated well with TV. Therefore, these represent a more accurate reflection of the true size of the gland than other 2D measurements, where MRI is not available.

Indexed as

Thymus GlandUltrasonography, PrenatalFemaleGestational AgeHumansImaging, Three-DimensionalMagnetic Resonance ImagingPregnancyReproducibility of ResultsRetrospective StudiesFetal thymusMagnetic resonance imagingObstetric ultrasound thymusVolume

Identifiers

PMID34246829
PMCPMC7617108
OpenAlexW3173886588

What OpenQuestion holds

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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.