Evidence map›Paper›PMID 23518355›Full record

ReviewAJNR. American journal of neuroradiology2013

Acquisition guidelines and quality assessment tools for analyzing neonatal diffusion tensor MRI data.

A M Heemskerk, A Leemans, A Plaisier, K Pieterman, M H Lequin, J Dudink

Open access · hybridAbstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Perinatal development of structural thalamocortical connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025
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  6. Review
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  10. Differential vulnerability of white matter structures to experimental infantile hydrocephalus detected by diffusion tensor imaging.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2014
    Article
  11. Article
  12. Review
  13. Article
  14. 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

6 authors at 1 institution in 1 country.

A M HeemskerkDivision of Neonatology, Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.
A Leemans
A Plaisier
K Pieterman
M H Lequin
J Dudink
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusion tensor imaging is a valuable measure in clinical settings to assess diagnosis and prognosis of neonatal brain development. However, obtaining reliable images is not straightforward because of the tissue characteristics of the neonatal brain and the high likelihood of motion artifacts. In this review, we present guidelines on how to acquire DTI data of the neonatal brain and recommend high-quality data acquisition and processing as an essential means to obtain accurate and robust parametric maps. Sudden head movements are problematic for DTI in neonates, and these may lead to incorrect values. We describe strategies to minimize the corrupting effects both in terms of acquisition (eg, more gradient directions) and postprocessing (eg, tensor estimation methods). In addition, tools are described that can help assess whether a dataset is of sufficient quality for further assessment.

Indexed as

ArtifactsBrainDiffusion Tensor ImagingFemaleHumansImage EnhancementInfant, NewbornMaleNetherlandsPractice Guidelines as TopicQuality Assurance, Health Care

Identifiers

PMID23518355
PMCPMC8051471
OpenAlexW2162701777

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.