Evidence map›Paper›PMID 36301513›Full record

ArticleJournal of cardiovascular translational research2023

Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta.

Uxio Hermida, Milou P M van Poppel, David F A Lloyd, Johannes K Steinweg, Trisha V Vigneswaran, John M Simpson, Reza Razavi, Adelaide De Vecchi, Kuberan Pushparajah, Pablo Lamata

Abstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Editorial: Case reports in general cardiovascular medicine: 2022.Frontiers in cardiovascular medicine · 2023
    Article
  8. Review
  9. 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

10 authors.

Uxio Hermida *Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK.ORCID 0000-0003-1671-3489
Milou P M van Poppel *Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
David F A LloydDepartment of Perinatal Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
Johannes K SteinwegDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
Trisha V VigneswaranDepartment of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK.
John M SimpsonDepartment of Congenital Heart Disease, Evelina London Children's Hospital, London, SE1 7EH, UK.
Reza RazaviDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
Adelaide De VecchiDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK.
Kuberan PushparajahDepartment of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, SE1 7EH, UK.
Pablo LamataDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 5Th Floor Becket House, 1 Lambeth Palace Road, London, SE1 7EH, UK. pablo.lamata@kcl.ac.uk.

Funding

British Heart Foundation FS/ICRF/22/26028British Heart Foundation TA/F/20/210021Department of HealthWellcome TrustWellcome Trust 102431Wellcome Trust 209450/Z/17/ZWellcome Trust WT203148/Z/16/Z
6 · The paper itself

Abstract

Neonatal coarctation of the aorta (CoA) is a common congenital heart defect. Its antenatal diagnosis remains challenging, and its pathophysiology is poorly understood. We present a novel statistical shape modeling (SSM) pipeline to study the role and predictive value of arch shape in CoA in utero. Cardiac magnetic resonance imaging (CMR) data of 112 fetuses with suspected CoA was acquired and motion-corrected to three-dimensional volumes. Centerlines from fetal arches were extracted and used to build a statistical shape model capturing relevant anatomical variations. A linear discriminant analysis was used to find the optimal axis between CoA and false positive cases. The CoA shape risk score classified cases with an area under the curve of 0.907. We demonstrate the feasibility of applying a SSM pipeline to three-dimensional fetal CMR data while providing novel insights into the anatomical determinants of CoA and the relevance of in utero arch anatomy for antenatal diagnosis of CoA.

Indexed as

Aortic CoarctationHeart Defects, CongenitalAortaFemaleFetusHumansInfant, NewbornMagnetic Resonance ImagingPregnancyRetrospective StudiesClinical BiomarkerComputational AnatomyCongenital Heart DiseaseMachine LearningMagnetic Resonance ImagingStatistical Shape Modeling

Identifiers

PMID36301513
PMCPMC10299929

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Registered trials

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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.