Evidence map›Paper›PMID 31854148›Full record

ReviewKorean journal of radiology2019

Rapid Imaging: Recent Advances in Abdominal MRI for Reducing Acquisition Time and Its Clinical Applications.

Jeong Hee Yoon, Marcel Dominik Nickel, Johannes M Peeters, Jeong Min Lee

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Deep Learning-Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
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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

4 authors.

Jeong Hee YoonDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea. jhjhry@gmail.com.ORCID 0000-0002-9925-9973
Marcel Dominik NickelMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Johannes M PeetersMR Clinical Science, Philips Healthcare, Best, The Netherlands.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0003-0561-8777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) plays an important role in abdominal imaging. The high contrast resolution offered by MRI provides better lesion detection and its capacity to provide multiparametric images facilitates lesion characterization more effectively than computed tomography. However, the relatively long acquisition time of MRI often detrimentally affects the image quality and limits its accessibility. Recent developments have addressed these drawbacks. Specifically, multiphasic acquisition of contrast-enhanced MRI, free-breathing dynamic MRI using compressed sensing technique, simultaneous multi-slice acquisition for diffusion-weighted imaging, and breath-hold three-dimensional magnetic resonance cholangiopancreatography are recent notable advances in this field. This review explores the aforementioned state-of-the-art techniques by focusing on their clinical applications and potential benefits, as well as their likely future direction.

Indexed as

AbdomenArtifactsContrast MediaGadolinium DTPAHumansImaging, Three-DimensionalMagnetic Resonance ImagingRespirationContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPACompressed sensingDiffusion weighted imagingFree breathingGRASEGRASPMRCPMRISimultaneous multi-sliceSparse

Identifiers

PMID31854148
PMCPMC6923214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.