Evidence map›Paper›PMID 30637852›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Patient respiratory-triggered quantitative T

Naïk Vietti Violi, Tom Hilbert, Jessica A M Bastiaansen, Jean-Francois Knebel, Jean-Baptiste Ledoux, Alto Stemmer, Reto Meuli, Tobias Kober, Sabine Schmidt

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

9 authors.

Naïk Vietti VioliDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Tom HilbertDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Jessica A M BastiaansenDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Jean-Francois KnebelCenter for Biomedical Imaging (CIBM), Lausanne, Switzerland.
Jean-Baptiste LedouxDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Alto StemmerSiemens Healthcare, Erlangen, Germany.
Reto MeuliDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Tobias KoberDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Sabine SchmidtDepartment of Radiology, University hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong acquisition times and motion sensitivity limit T PURPOSE: To test the feasibility of respiratory-triggered quantitative T STUDY TYPE: Retrospective single-center pilot study. POPULATION: Eighty-eight adults. FIELD STRENGTH/SEQUENCE: Ten-fold accelerated multiecho-spin-echo 3 T MRI sequence to quantify T ASSESSMENT: Two radiologists independently delineated three regions of interest inside the pancreatic head, body, and tail for each acquisition. Means and standard deviations for T STATISTICAL TESTS: Interreader reliability was determined by calculating the interclass coefficient (ICCs). T

resultsThe accelerated T DATA

conclusionThe feasibility of accelerated T LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:410-416.

Indexed as

Feasibility StudiesHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPancreasPancreatic DiseasesPilot ProjectsReproducibility of ResultsRespirationRetrospective Studies

Identifiers

PMID30637852
PMCPMC6766866

What OpenQuestion holds

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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 OpenQuestion graph.