ReviewPediatric radiology2023
Pediatric magnetic resonance imaging: faster is better.
Review in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- ESR Essentials: neuroimaging of pediatric headaches in the emergent and non-emergent setting-practice recommendations by the European Society of Neuroradiology.European radiology · 2026Guideline
- Best practices for pediatric liver MRI: guidelines from members of the Society for Pediatric Radiology Magnetic Resonance and Abdominal Imaging Committees.Pediatric radiology · 2025Guideline
- Deep learning reconstruction improves appendix visualization on pediatric magnetic resonance imaging (MRI): a single-center experience.Pediatric radiology · 2026Article
- Deep learning improves image quality in motion-robust and sedation-free pediatric brain MRI.European radiology · 2026Article
- Improved SNR and Image Quality of Pediatric MRI with a Shape Conforming High-Density Posterior Cushion Coil.Bioengineering (Basel, Switzerland) · 2026Article
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Pediatric magnetic resonance urography from patient preparation to post-processing: basics and controversies.Pediatric radiology · 2026Review
- Streamlining pediatric musculoskeletal infection workup: the why, what, and how of rapid MRI protocols.Pediatric radiology · 2026Review
- Radon-Guided Wavelet-Domain Attention U-Net for Periodic Artifact Suppression in Brain MRI.Journal of imaging · 2026Article
- Focused Abbreviated Survey Technique (FAST) brain magnetic resonance imaging in children: results from a European Society of Pediatric Radiology survey.Pediatric radiology · 2026Article
- 3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibility.Pediatric radiology · 2026Article
- Accelerated 3D MRI for ARIA monitoring in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Evaluation of simultaneous multi-slice echo planar imaging in the diagnosis of brain lesions in pediatric patients: a quantitative and qualitative study.BMC medical imaging · 2026Article
- Accelerated magnetic resonance imaging of hippocampal sclerosis in pediatric patients with deep learning-based reconstruction: comparison of image quality and diagnostic performance with conventional reconstruction.Pediatric radiology · 2026Article
- Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents.Skeletal radiology · 2025Article
- Optic Nerve Infiltration in Retinoblastoma: Correlation of Histopathological and MRI Findings in Enucleated Eyes.Cureus · 2025Article
- Pediatric Neuroimaging: Advanced Techniques and Clinical Applications.Radiologic clinics of North America · 2025Review
- Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging.Pediatric radiology · 2025Article
- Multi-band vs. conventional diffusion-weighted MRI of the abdomen in children and young adults.Abdominal radiology (New York) · 2025Article
- Commentary: Comparing magnetic resonance enterography and endoscopy findings to the motility of magnetic resonance imaging in pediatric Crohn's disease.Pediatric radiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance imaging (MRI) has emerged as the preferred imaging modality for evaluating a wide range of pediatric medical conditions. Nevertheless, the long acquisition times associated with this technique can limit its widespread use in young children, resulting in motion-degraded or non-diagnostic studies. As a result, sedation or general anesthesia is often necessary to obtain diagnostic images, which has implications for the safety profile of MRI, the cost of the exam and the radiology department's clinical workflow. Over the last decade, several techniques have been developed to increase the speed of MRI, including parallel imaging, single-shot acquisition, controlled aliasing techniques, compressed sensing and artificial-intelligence-based reconstructions. These are advantageous because shorter examinations decrease the need for sedation and the severity of motion artifacts, increase scanner throughput, and improve system efficiency. In this review we discuss a framework for image acceleration in children that includes the synergistic use of state-of-the-art MRI hardware and optimized pulse sequences. The discussion is framed within the context of pediatric radiology and incorporates the authors' experience in deploying these techniques in routine clinical practice.
Indexed as
Identifiers
36261512What OpenQuestion holds
Registered trials
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.