Back to Search
Start Over
Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities
- Source :
- JACC: Cardiovascular Imaging. 11:25-34
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Objectives The purpose of this study was to compare the accuracy of vendor-specific and independent strain analysis tools to detect regional myocardial function abnormality in a clinical setting. Background Speckle tracking echocardiography has been considered a promising tool for the quantitative assessment of regional myocardial function. However, the potential differences among speckle tracking software with regard to their accuracy in identifying regional abnormality has not been studied extensively. Methods Sixty-three subjects (5 healthy volunteers and 58 patients) were examined with 7 different ultrasound machines during 5 days. All patients had experienced a previous myocardial infarction, which was characterized by cardiac magnetic resonance with late gadolinium enhancement. Segmental peak systolic (PS), end-systolic (ES) and post-systolic strain (PSS) measurements were obtained with 6 vendor-specific software tools and 2 independent strain analysis tools. Strain parameters were compared between fully scarred and scar-free segments. Receiver-operating characteristic curves testing the ability of strain parameters and derived indexes to discriminate between these segments were compared among vendors. Results The average strain values calculated for normal segments ranged from −15.1% to −20.7% for PS, −14.9% to −20.6% for ES, and −16.1% to −21.4% for PSS. Significantly lower values of strain (p Conclusions The accuracy of identifying regional abnormality differs significantly among vendors.
- Subjects :
- medicine.medical_specialty
Strain (chemistry)
business.industry
Task force
Ultrasound
Speckle tracking echocardiography
030204 cardiovascular system & hematology
medicine.disease
030218 nuclear medicine & medical imaging
03 medical and health sciences
Speckle pattern
0302 clinical medicine
Internal medicine
medicine
Cardiology
Late gadolinium enhancement
Radiology, Nuclear Medicine and imaging
Myocardial infarction
Abnormality
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 1936878X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- JACC: Cardiovascular Imaging
- Accession number :
- edsair.doi...........561129c6fbdd325e12289c8aa09e926c
- Full Text :
- https://doi.org/10.1016/j.jcmg.2017.02.014