Document Detail


Myocardial tagging with steady state free precession techniques and semi-automatic postprocessing--impact on diagnostic value.
MedLine Citation:
PMID:  17443331     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
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
Publication Detail:
Type:  Journal Article     Date:  2007-04-19
Journal Detail:
Title:  European radiology     Volume:  17     ISSN:  0938-7994     ISO Abbreviation:  Eur Radiol     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-08-16     Completed Date:  2007-12-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  2218-24     Citation Subset:  IM    
Affiliation:
Department of Clinical Radiology, Grosshadern Hospital, Ludwig-Maximilians-University, Munich, Germany. thorsten.johnson@med.uni-muenchen.de
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MeSH Terms
Descriptor/Qualifier:
Female
Heart Diseases / diagnosis*,  physiopathology
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging, Cine / methods*
Male
Myocardial Contraction / physiology
Retrospective Studies
Statistics, Nonparametric

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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