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Current T1 and T2 mapping techniques applied with simple thresholds cannot discriminate acute from chronic myocadial infarction on an individual patient basis: a pilot study

Overview of attention for article published in BMC Medical Imaging, April 2016
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Title
Current T1 and T2 mapping techniques applied with simple thresholds cannot discriminate acute from chronic myocadial infarction on an individual patient basis: a pilot study
Published in
BMC Medical Imaging, April 2016
DOI 10.1186/s12880-016-0135-y
Pubmed ID
Authors

Florian von Knobelsdorff-Brenkenhoff, Marcel Prothmann, Matthias A. Dieringer, Ralf Wassmuth, André Rudolph, Wolfgang Utz, Julius Traber, Andreas Greiser, Thoralf Niendorf, Jeanette Schulz-Menger

Abstract

Studying T1- and T2-mapping for discrimination of acute from chronic myocardial infarction (AMI, CMI). Eight patients with AMI underwent CMR at 3 T acutely and after >3 months. Imaging techniques included: T2-weighted imaging, late enhancement (LGE), T2-mapping, native and post-contrast T1-mapping. Myocardial T2- and T1-relaxation times were determined for every voxel. Abnormal voxels as defined by having T2- and T1-values beyond a predefined threshold (T2 > 50 ms, native T1 > 1250 ms and post-contrast T1 < 350 ms) were highlighted and compared with LGE as the reference. Abnormal T2-relaxation times were present in the voxels with AMI (=> delete acute infarction; unfortunately this is not possible in your web interface) acute infarction only in half of the subjects. Abnormal T2-values were also present in subjects with CMI, thereby matching the chronically infarcted territory in some. Abnormal native T1 times were present in voxels with AMI in 5/8 subjects, but also remote from the infarcted territory in four. In CMI, abnormal native T1 values corresponded with infarcted voxels, but were also abnormal remote from the infarcted territory. Voxels with abnormal post-contrast T1-relaxation times agreed well with LGE in AMI and CMI. In this pilot-study, T2- and T1-mapping with simple thresholds did not facilitate the discrimination of AMI and CMI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Bachelor 3 14%
Student > Doctoral Student 2 10%
Other 2 10%
Student > Ph. D. Student 2 10%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 14 67%
Physics and Astronomy 1 5%
Energy 1 5%
Engineering 1 5%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2016.
All research outputs
#20,231,260
of 24,873,243 outputs
Outputs from BMC Medical Imaging
#398
of 653 outputs
Outputs of similar age
#226,554
of 305,027 outputs
Outputs of similar age from BMC Medical Imaging
#6
of 8 outputs
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