Evidence map›Paper›PMID 32299803›Full record

ArticleAJNR. American journal of neuroradiology2020

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.

T Vanderhasselt, M Naeyaert, N Watté, G-J Allemeersch, S Raeymaeckers, J Dudink, J de Mey, H Raeymaekers

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors at 2 institutions in 2 countries.

T VanderhasseltFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium tim.vanderhasselt@uzbrussel.be.ORCID 0000-0002-0511-0554
M NaeyaertFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0002-7452-5534
N WattéFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0002-9268-5603
G-J AllemeerschFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0002-4548-9933
S RaeymaeckersFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0003-0822-1919
J DudinkDepartment of Neonatology (J.D.), Wilhelmina Children's Hospital/Utrecht University Medical Center, Utrecht, the Netherlands.ORCID 0000-0003-0446-3646
J de MeyFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0002-3601-3212
H RaeymaekersFrom the Department of Radiology (T.V., M.N., N.W., G.-J.A., S.R., J.d.M., H.R.), Vrije Universiteit Brussels, Universitair Ziekenhuis Brussels, Brussels, Belgium.ORCID 0000-0003-0041-6359
Vrije Universiteit Brussel · BEUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeNeonatal MR imaging brain volume measurements can be used as biomarkers for long-term neurodevelopmental outcome, but quantitative volumetric MR imaging data are not usually available during routine radiologic evaluation. In the current study, the feasibility of automated quantitative brain volumetry and image reconstruction via synthetic MR imaging in very preterm infants was investigated. MATERIALS AND

methodsConventional and synthetic T1WIs and T2WIs from 111 very preterm infants were acquired at term-equivalent age. Overall image quality and artifacts of the conventional and synthetic images were rated on a 4-point scale. Legibility of anatomic structures and lesion conspicuity were assessed on a binary scale. Synthetic MR volumetry was compared with that generated via MANTiS, which is a neonatal tissue segmentation toolbox based on T2WI.

resultsImage quality was good or excellent for most conventional and synthetic images. The 2 methods did not differ significantly regarding image quality or diagnostic performance for focal and cystic WM lesions. Dice similarity coefficients had excellent overlap for intracranial volume (97.3%) and brain parenchymal volume (94.3%), and moderate overlap for CSF (75.6%). Bland-Altman plots demonstrated a small systematic bias in all cases (1.7%-5.9%)

conclusionsSynthetic T1WI and T2WI sequences may complement or replace conventional images in neonatal imaging, and robust synthetic volumetric results are accessible from a clinical workstation in less than 1 minute. Via the above-described methods, volume assessments could be routinely used in daily clinical practice.

Indexed as

Infant, PrematureArtifactsBrainFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornInfant, Premature, DiseasesMagnetic Resonance ImagingMaleNeuroimaging

Identifiers

PMID32299803
PMCPMC7228170
OpenAlexW3017314430

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.