Evidence map›Paper›PMID 35616709›Full record

ReviewThe British journal of radiology2022

Zero-TE MRI: principles and applications in the head and neck.

Florian Wiesinger, Mai-Lan Ho

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  19. Review
  20. Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.AJNR. American journal of neuroradiology · 2022
    Article
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

2 authors.

Florian WiesingerDepartment for Neuroimaging, Institute of Psychiatry & Neuroscience, King's College London, London, UK.
Mai-Lan HoNationwide Children's Hospital and The Ohio State University, Columbus, USA.ORCID 0000-0002-9455-1350

Funding

Longitudinal Neuroimaging in Sturge-Weber SyndromeR01NS041922 · NINDS · WAYNE STATE UNIVERSITY · PI JUHASZ, CSABA · 2003 to 2024
$6.2M
A comprehensive deep learning framework for MRI reconstructionR01EB029957 · NIBIB · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN, SCHNITER, PHILIP · 2021 to 2024
$2.3M
NIBIB NIH HHS R01 EB029957NINDS NIH HHS R01 NS041922
6 · The paper itself

Abstract

Zero echo-time (ZTE) MRI is a novel imaging technique that utilizes ultrafast readouts to capture signal from short-T2 tissues. Additional sequence advantages include rapid imaging times, silent scanning, and artifact resistance. A robust application of this technology is imaging of cortical bone without the use of ionizing radiation, thus representing a viable alternative to CT for both rapid screening and "one-stop-shop" MRI. Although ZTE is increasingly used in musculoskeletal and body imaging, neuroimaging applications have historically been limited by complex anatomy and pathology. In this article, we review the imaging physics of ZTE including pulse sequence options, practical limitations, and image reconstruction. We then discuss optimization of settings for ZTE bone neuroimaging including acquisition, processing, segmentation, synthetic CT generation, and artifacts. Finally, we examine clinical utility of ZTE in the head and neck with imaging examples including malformations, trauma, tumors, and interventional procedures.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingArtifactsHeadHumansNeck

Identifiers

PMID35616709
PMCPMC10162052

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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.