Evidence map›Paper›PMID 17443331›Full record

ArticleEuropean radiology2007

Myocardial tagging with steady state free precession techniques and semi-automatic postprocessing--impact on diagnostic value.

Thorsten R C Johnson, Nicole Bayrhof, Armin Huber, Joost P A Kuijer, Roger Luechinger, Olaf Dietrich, Dietrich Stoevesandt, Dorthe Pedersen, Maximilian F Reiser, Stefan O Schoenberg

Abstract read
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In one paragraph

Article in European radiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2011
    Review
  2. 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

10 authors at 5 institutions in 4 countries.

Thorsten R C JohnsonDepartment of Clinical Radiology, Grosshadern Hospital, Ludwig-Maximilians-University, Munich, Germany. thorsten.johnson@med.uni-muenchen.de
Nicole Bayrhof
Armin Huber
Joost P A Kuijer
Roger Luechinger
Olaf Dietrich
Dietrich Stoevesandt
Dorthe Pedersen
Maximilian F Reiser
Stefan O Schoenberg
Ludwig-Maximilians-Universität München · DEAmsterdam UMC Location VUmc · NLCopenhagen University Hospital · DKInstitute for Biomedical Engineering · CHMartin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to determine the diagnostic value of myocardial tagging sequences with regard to the evaluable share of the cardiac cycle. Thirty-three patients were examined at 1.5 T using tagging sequences with gradient-echo (GRE) readout, 18 patients at 1.5 T with steady-state free precession (SSFP), and 11 patients at 3 T using GRE. Two observers graded image quality and determined the share of the cardiac cycle for which postprocessing could be performed (1, optimal; 2, little interaction; 3, whole cycle assessable; 4, diastole non-assessable; 5, systole incomplete; 6, non-diagnostic). With GRE at 1.5 T, median image quality was 4.0 (95% CI 4.0-5.0), while it was significantly better with 2.0 (2.0-3.0) using the SSFP technique and similar at 3 T with 2.9 (1.7-3.5). With GRE at 1.5 T, systole could be assessed in 69% of patients, and an evaluation of the whole cardiac cycle was not possible. With the SSFP sequence at 1.5 T and GRE at 3 T, an evaluation of the whole cardiac cycle was possible in 71% and 70% of the patients, respectively, and systole was assessable in all patients. Tagging sequences with SSFP readout at 1.5 T make a semi-automatic evaluation of the whole cardiac cycle feasible in a large share of patients.

Indexed as

FemaleHeart DiseasesHumansImage Processing, Computer-AssistedMagnetic Resonance Imaging, CineMaleMyocardial ContractionRetrospective StudiesStatistics, Nonparametric

Identifiers

PMID17443331
OpenAlexW1968996163

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.