Evidence map›Paper›PMID 31467238›Full record

ArticleAJNR. American journal of neuroradiology2019

Zero TE MRI for Craniofacial Bone Imaging.

A Lu, K R Gorny, M-L Ho

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Automated Craniofacial Biometry with 3D T2w Fetal MRI.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.AJNR. American journal of neuroradiology · 2022
    Article
  19. Article
  20. Review
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

3 authors at 2 institutions in 1 country.

A LuDepartment of Medical Physics (A.L., K.R.G.), Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-4129-9531
K R GornyDepartment of Medical Physics (A.L., K.R.G.), Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-8785-3070
M-L HoFrom the Department of Radiology, Nationwide Children's Hospital (M.-L.H.), The Ohio State University College of Medicine, Columbus, Ohio mailanho@gmail.com.ORCID 0000-0002-9455-1350
Mayo Clinic · USNationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zero TE MR imaging is a novel technique that achieves a near-zero time interval between radiofrequency excitation and data acquisition, enabling visualization of short-T2 materials such as cortical bone. Zero TE offers a promising radiation-free alternative to CT with rapid, high-resolution, silent, and artifact-resistant imaging, as well as the potential for "pseudoCT" reconstructions. In this report, we will discuss our preliminary experience with zero TE, including technical principles and a clinical case series demonstrating emerging applications in neuroradiology.

Indexed as

AdolescentChildChild, PreschoolFacial BonesFemaleHumansInfantMagnetic Resonance ImagingMaleSkull

Identifiers

PMID31467238
PMCPMC7048454
OpenAlexW2970992318

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.