Evidence map›Paper›PMID 40257498›Full record

ReviewPediatric radiology2025

A closer look: pediatric neuroimaging at 7T.

Emil Jernstedt Barkovich, Maria Camila Cortes-Albornoz, Fedel Machado-Rivas, Suely Fazio Ferraciolli, Onur Afacan, Camilo Jaimes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

Emil Jernstedt BarkovichDepartment of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA. ebarkovich@mgh.harvard.edu.
Maria Camila Cortes-AlbornozDepartment of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.
Fedel Machado-RivasDepartment of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.
Suely Fazio FerraciolliDepartment of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.
Onur Afacan *Department of Radiology, Boston Children's Hospital, 300 Longwood Ave, Boston, MA, 02115, USA.
Camilo Jaimes *Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although 7 Tesla (7T) field strength MR imaging offers higher signal-to-noise ratio and spatial resolution and improves certain types of tissue contrast, the incorporation of these systems into clinical pediatric neuroradiology has been relatively limited. Following a discussion of available hardware, current regulations, and pediatric specific safety considerations, this article briefly reviews the underlying principles behind the improved image quality attainable with certain techniques at 7T. Subsequently, specific high-performance sequences and techniques are highlighted including MP2RAGE, T2-weighted, and T2*-weighted sequences as well as MR angiography, all with sample images and comparison with standard field strengths. Finally, current clinical neuroradiological applications of 7T are explored with particular focus on focal epilepsy, multiple sclerosis, vascular diseases, and cerebral microbleeds. Ongoing and future innovations in hardware design and sequence development promise continued advancement in 7T neuroimaging and further applications to pediatric neuroradiology.

Indexed as

BrainBrain DiseasesImage EnhancementMagnetic Resonance ImagingNeuroimagingPediatricsChildHumans7 T7 TeslaMagnetic resonance imagingNeuroradiologyPediatricUltra-high field

Identifiers

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.