Evidence map›Paper›PMID 27551341›Full record

ArticleWorld journal of radiology2016

Free-breathing radial volumetric interpolated breath-hold examination vs breath-hold cartesian volumetric interpolated breath-hold examination magnetic resonance imaging of the liver at 1.5T.

Sireesha Yedururi, HyunSeon C Kang, Wei Wei, Nicolaus A Wagner-Bartak, Leonardo P Marcal, R Jason Stafford, Brandy J Willis, Janio Szklaruk

Abstract read
In one paragraph

Article in World journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Sireesha YedururiSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
HyunSeon C KangSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Wei WeiSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Nicolaus A Wagner-BartakSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Leonardo P MarcalSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
R Jason StaffordSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Brandy J WillisSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.
Janio SzklarukSireesha Yedururi, HyunSeon C Kang, Nicolaus A Wagner-Bartak, Leonardo P Marcal, Janio Szklaruk, Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

aimTo compare breath-hold cartesian volumetric interpolated breath-hold examination (cVIBE) and free-breathing radial VIBE (rVIBE) and determine whether rVIBE could replace cVIBE in routine liver magnetic resonance imaging (MRI).

methodsIn this prospective study, 15 consecutive patients scheduled for routine MRI of the abdomen underwent pre- and post-contrast breath-hold cVIBE imaging (19 s acquisition time) and free-breathing rVIBE imaging (111 s acquisition time) on a 1.5T Siemens scanner. Three radiologists with 2, 4, and 8 years post-fellowship experience in abdominal imaging evaluated all images. The radiologists were blinded to the sequence types, which were presented in a random order for each patient. For each sequence, the radiologists scored the cVIBE and rVIBE images for liver edge sharpness, hepatic vessel clarity, presence of artifacts, lesion conspicuity, fat saturation, and overall image quality using a five-point scale.

resultsCompared to rVIBE, cVIBE yielded significantly (P < 0.001) higher scores for liver edge sharpness (mean score, 3.87 vs 3.37), hepatic-vessel clarity (3.71 vs 3.18), artifacts (3.74 vs 3.06), lesion conspicuity (3.81 vs 3.2), and overall image quality (3.91 vs 3.24). cVIBE and rVIBE did not significantly differ in quality of fat saturation (4.12 vs 4.03, P = 0.17). The inter-observer variability with respect to differences between rVIBE and cVIBE scores was close to zero compared to random error and inter-patient variation. Quality of rVIBE images was rated as acceptable for all parameters.

conclusionrVIBE cannot replace cVIBE in routine liver MRI. At 1.5T, free-breathing rVIBE yields acceptable, although slightly inferior image quality compared to breath-hold cVIBE.

Indexed as

Free-breathing magnetic resonance acquisitionLiver magnetic resonance imagingRadial imaging

Identifiers

PMID27551341
PMCPMC4965355

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.