Evidence map›Paper›PMID 42340447›Full record

ArticlePediatric cardiology2026

Pulmonary Artery Diameters in Children, Teenagers and Young Adults Derived from Quiescent Interval Slice Selective (QISS) Magnetic Resonance Angiography.

Dominika Zalas-Piotrowiak, Monika Rozewicz Juraszek, Dominik Daniel Gabbert, Sylvia Krupickova, Amke Caliebe, Inga Voges

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Article in Pediatric cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dominika Zalas-PiotrowiakDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Kiel, Germany.
Monika Rozewicz JuraszekDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Kiel, Germany.
Dominik Daniel GabbertDepartment of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Kiel, Germany.
Sylvia KrupickovaNational Heart and Lung Institute, Imperial College, London, UK.
Amke Caliebe *Institute for Clinical Studies and Digitalisation, Medical Statistics, HMU Health and Medical University Erfurt, Erfurt, Germany.
Inga Voges *Department of Congenital Heart Disease and Pediatric Cardiology, University Hospital Schleswig-Holstein, Kiel, Germany. inga.voges@uksh.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The radial Quiescent Interval Slice Selective (QISS) technique, which is used in cardiovascular magnetic resonance (CMR), is a reliable, contrast-free technique for obtaining high-quality vascular images. It is distinguished by its safety, insensitivity to motion and arrhythmias, and its overall simplicity and adaptability. However, previously published studies assessing pulmonary artery (PA) dimensions in children have not yet incorporated this technique. CMR scans of 139 patients (95 males), aged 6 weeks - 20 years, with no evidence of PA disorders were analyzed. Main PA (MPA), right PA (RPA) and left PA (LPA) diameters and cross-sectional areas (CSA) were measured at three locations, respectively, using the radial QISS technique. CMR was most performed for aortic pathology (n = 80), followed by other congenital heart diseases (n = 15), cardiomyopathies (n = 14) and others (n = 30). Consistent decreases in vessel calibre from proximal to distal MPA, RPA and LPA segments were demonstrated. Males showed slightly larger PA diameters and CSA than females at all measured locations. Univariate regression analysis demonstrated highest associations with body height for most PA parameters. This study employed the radial QISS method to present data for PA diameters and CSA in children and young adults. These values may help to detect pulmonary vascular abnormalities and inform clinical decisions regarding intervention and management.

Indexed as

Magnetic resonance imagingPediatricsPulmonary artery

Identifiers

PMID42340447

What Socratic holds

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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 Socratic graph.