Evidence map›Paper›PMID 30315420›Full record

ArticleEuropean radiology2019

Microvessel ultrasound of neonatal brain parenchyma: feasibility, reproducibility, and normal imaging features by superb microvascular imaging (SMI).

Katharina Goeral, Azadeh Hojreh, Gregor Kasprian, Katrin Klebermass-Schrehof, Michael Weber, Christian Mitter, Angelika Berger, Daniela Prayer, Peter C Brugger, Klara Vergesslich-Rothschild and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 48 citations in OpenAlex.

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  6. Microvascular Ultrasound Imaging in the Neonatal Brain: From Advanced Doppler to Super-Resolution.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
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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 1 institution in 1 country.

Katharina GoeralDepartment of Pediatrics and Adolescent Medicine, Division of Neonatology, Intensive Care and Pediatric Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Azadeh HojrehDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Gregor KasprianDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Muskuloskeletal Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Katrin Klebermass-SchrehofDepartment of Pediatrics and Adolescent Medicine, Division of Neonatology, Intensive Care and Pediatric Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Christian MitterDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Muskuloskeletal Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Angelika BergerDepartment of Pediatrics and Adolescent Medicine, Division of Neonatology, Intensive Care and Pediatric Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Daniela PrayerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Neuroradiology and Muskuloskeletal Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Peter C BruggerCenter of Anatomy and Cell Biology, Division of Anatomy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Klara Vergesslich-RothschildDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Janina M PatschDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. janina.patsch@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and reproducibility of superb microvascular imaging (SMI) of the neonatal brain and to describe normal imaging features.

methodsWe performed transcranial ultrasound with SMI in 19 healthy term-born neonates. SMI was done according to a structured examination protocol, using two linear 18 MHz and 14 MHz transducers. Superficial and deep scans were acquired in the coronal and sagittal planes, using the left and right superior frontal gyri as anatomical landmarks. All SMI views were imaged by monochrome and colour SMI and evaluated with respect to visibility of extrastriatal (i.e. cortical and medullary) and striatal microvessels.

resultsWe have described normal morphologic features of intraparenchymal brain microvasculature as "short parallel" cortical vessels, "smoothly curved" medullary vessels, and deep striatal vessels. In general, SMI performance was better on coronal views than on sagittal views. On superficial coronal scans, cortical microvessels were identifiable in 90-100%, medullary microvessels in 95-100%. On deep scans, cortical and medullary microvessels were visible in all cases, while striatal microvessels were identifiable in 71% of cases.

conclusionsCerebral SMI ultrasound is feasible and well-reproducible and provides a novel non-invasive imaging tool for the assessment of intraparenchymal brain microvasculature (extrastriatal and striatal microvessels) in neonates without the use of contrast. KEY POINTS: • Superb microvascular imaging (SMI) of the neonatal brain is feasible and reproducible. • SMI depicts extrastriatal and striatal microvessels. • SMI detects two types of extrastriatal microvessels: cortical and medullary.

Indexed as

Cerebral ArteriesFemaleHumansInfant, NewbornMaleMicrovesselsProspective StudiesReproducibility of ResultsUltrasonography, Doppler, TranscranialBrainMicrovasculatureNeonateUltrasound imaging

Identifiers

PMID30315420
PMCPMC6420458
OpenAlexW2896926787

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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.