Evidence map›Paper›PMID 32860525›Full record

ArticlePediatric radiology2021

Three-dimensional magnetic resonance imaging ultrashort echo-time cones for assessing lung density in pediatric patients.

Konstantinos G Zeimpekis, Julia Geiger, Florian Wiesinger, Gaspar Delso, Christian J Kellenberger

Open access · hybridAbstract read
In one paragraph

Article in Pediatric radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Konstantinos G ZeimpekisDepartment of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. konstantinos.zeimpekis@usz.ch.ORCID 0000-0003-2769-7533
Julia GeigerDepartment of Diagnostic Imaging, University Children's Hospital Zürich, Zürich, Switzerland.
Florian WiesingerGE Healthcare, Waukesha, WI, USA.
Gaspar DelsoGE Healthcare, Waukesha, WI, USA.
Christian J KellenbergerDepartment of Diagnostic Imaging, University Children's Hospital Zürich, Zürich, Switzerland.
University Children's Hospital Zurich · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMRI of lung parenchyma is challenging because of the rapid decay of signal by susceptibility effects of aerated lung on routine fast spin-echo sequences.

objectiveTo assess lung signal intensity in children on ultrashort echo-time sequences in comparison to a fast spin-echo technique. MATERIALS AND

methodsWe conducted a retrospective study of lung MRI obtained in 30 patients (median age 5 years, range 2 months to 18 years) including 15 with normal lungs and 15 with cystic fibrosis. On a fast spin-echo sequence with radial readout and an ultrashort echo-time sequence, both lungs were segmented and signal intensities were extracted. We compared lung-to-background signal ratios and histogram analysis between the two patient cohorts using non-parametric tests and correlation analysis.

resultsOn ultrashort echo-time the lung-to-background ratio was age-dependent, ranging from 3.15 to 1.33 with high negative correlation (R

conclusionSignal intensity of lung on ultrashort echo-time is higher than that on fast spin-echo sequences, is age-dependent and shows a gravity-dependent anterior to posterior gradient. This signal variation appears similar to lung density described on CT.

Indexed as

Cystic FibrosisImage Interpretation, Computer-AssistedChildHumansImaging, Three-DimensionalInfantInfant, NewbornLungMagnetic Resonance ImagingRetrospective StudiesAdolescentsChildrenConesCystic fibrosisLung densityMagnetic resonance imagingUltra-short echo time

Identifiers

PMID32860525
PMCPMC7796870
OpenAlexW3082715248

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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.