Evidence map›Paper›PMID 34723053›Full record

ArticleOTO open

Super-resolution Reconstruction MRI Application in Fetal Neck Masses and Congenital High Airway Obstruction Syndrome.

Nada Mufti, Michael Ebner, Premal Patel, Michael Aertsen, Trevor Gaunt, Paul D Humphries, Fonteini Emmananouella Bredaki, Richard Hewitt, Colin Butler, Magdalena Sokolska and 8 more

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

Article in OTO open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessment of longitudinal brain development using super-resolution magnetic resonance imaging following fetal surgery for open spina bifida.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

18 authors at 3 institutions in 2 countries.

Nada MuftiElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-9839-8085
Michael EbnerSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Premal PatelRadiology Department, Great Ormond Street Hospital for Children, London, UK.
Michael AertsenDepartment of Radiology, University Hospitals Katholieke Universiteit, Leuven, Belgium.
Trevor GauntRadiology Department, Great Ormond Street Hospital for Children, London, UK.
Paul D HumphriesRadiology Department, Great Ormond Street Hospital for Children, London, UK.
Fonteini Emmananouella BredakiWomen's Health Division, University College London Hospitals, London, UK.
Richard HewittEar, Nose and Throat Department, Great Ormond Street Hospital for Children, London, UK.
Colin ButlerEar, Nose and Throat Department, Great Ormond Street Hospital for Children, London, UK.
Magdalena SokolskaDepartment of Medical Physics and Biomedical Engineering, University College London Hospitals, London, UK.
Giles S KendallElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.
David AtkinsonDepartment of Medical Physics and Biomedical Engineering, University College London Hospitals, London, UK.ORCID https://orcid.org/0000-0003-1124-6666
Tom VercauterenSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Pranav P PandyaWomen's Health Division, University College London Hospitals, London, UK.
Jan DeprestElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.
Andrew MelbourneSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Anna L DavidElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.
University College Hospital · GBGreat Ormond Street Hospital · GBKU Leuven · BE

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveReliable airway patency diagnosis in fetal tracheolaryngeal obstruction is crucial to select and plan ex utero intrapartum treatment (EXIT) surgery. We compared the clinical utility of magnetic resonance imaging (MRI) super-resolution reconstruction (SRR) of the trachea, which can mitigate unpredictable fetal motion effects, with standard 2-dimensional (2D) MRI for airway patency diagnosis and assessment of fetal neck mass anatomy. STUDY

designA single-center case series of 7 consecutive singleton pregnancies with complex upper airway obstruction (2013-2019).

settingA tertiary fetal medicine unit performing EXIT surgery.

methodsMRI SRR of the trachea was performed involving rigid motion correction of acquired 2D MRI slices combined with robust outlier detection to reconstruct an isotropic high-resolution volume. SRR, 2D MRI, and paired data were blindly assessed by 3 radiologists in 3 experimental rounds.

resultsAirway patency was correctly diagnosed in 4 of 7 cases (57%) with 2D MRI as compared with 2 of 7 cases (29%) with SRR alone or paired 2D MRI and SRR. Radiologists were more confident (

conclusionThe addition of SRR to 2D MRI does not increase fetal airway patency diagnostic accuracy but does provide improved anatomic information, which may benefit surgical planning of EXIT procedures.

Indexed as

CHAOSEXITfetal neck massmagnetic resonance imagingsuper-resolution reconstructiontrachea

Identifiers

PMID34723053
PMCPMC8549475
OpenAlexW3209616776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.