Evidence map›Paper›PMID 39330443›Full record

ArticleJournal of imaging2024

Peripheral Non-Contrast MR Angiography Using FBI: Scan Time and T2 Blurring Reduction with 2D Parallel Imaging.

Won C Bae, Lewis Hahn, Vadim Malis, Anya Mesa, Diana Vucevic, Mitsue Miyazaki

Abstract read
In one paragraph

Article in Journal of imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Won C BaeDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-2616-0339
Lewis HahnDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.
Vadim MalisDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.
Anya MesaDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.
Diana VucevicDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-8291-7610
Mitsue MiyazakiDepartment of Radiology, University of California-San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-5690-694X

Funding

MR evaluation of macro- and micro-vascularity in diabetic peripheral artery diseaseR01HL154092 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MIYAZAKI, MITSUE · 2020 to 2023
$2.0M
Canon Medical Systems Corporation, Japan 35938NHLBI NIH HHS R01 HL154092NIH HHS 5C06HL154092-04A1
6 · The paper itself

Abstract

Non-contrast magnetic resonance angiography (NC-MRA), including fresh blood imaging (FBI), is a suitable choice for evaluating patients with peripheral artery disease (PAD). We evaluated standard FBI (sFBI) and centric ky-kz FBI (cFBI) acquisitions, using 1D and 2D parallel imaging factors (PIFs) to assess the trade-off between scan time and image quality due to blurring. The bilateral legs of four volunteers (mean age 33 years, two females) were imaged in the coronal plane using a body array coil with a posterior spine coil. Two types of sFBI and cFBI sequences with 1D PIF factor 5 in the phase encode (PE) direction (in-plane) and 2D PIF 3 (PE) × 2 (slice encode (SE)) (in-plane, through-slice) were studied. Image quality was evaluated by a radiologist, the vessel's signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured, and major vessel width was measured on the coronal maximum intensity projection (MIP) and 80-degree MIP. Results showed significant time reductions from 184 to 206 s on average when using sFBI down to 98 to 162 s when using cFBI (

Indexed as

2D parallel imagingatherosclerosisfresh blood imaging (FBI)non-contrast MR angiographyperipheral artery diseaseSPEEDER

Identifiers

PMID39330443
PMCPMC11432976

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.