دورية أكاديمية
أعرض في EDS

Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis.

التفاصيل البيبلوغرافية
العنوان: Open-source, vendor-independent, automated multi-beat tissue Doppler echocardiography analysis.
المؤلفون: Dhutia NM; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK. nitidhutia@gmail.com., Zolgharni M; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Mielewczik M; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Negoita M; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Sacchi S; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Manoharan K; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Francis DP; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK., Cole GD; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, W12 0NN, UK.
المصدر: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2017 Aug; Vol. 33 (8), pp. 1135-1148. Date of Electronic Publication: 2017 Feb 20.
نوع المنشور: Comparative Study; Evaluation Study; Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: United States NLM ID: 100969716 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1875-8312 (Electronic) Linking ISSN: 15695794 NLM ISO Abbreviation: Int J Cardiovasc Imaging Subsets: MEDLINE
أسماء مطبوعة: Publication: [New York] : Springer
Original Publication: Boston : Kluwer Academic Publishers, c2001-
مواضيع طبية MeSH: Algorithms* , Cardiac-Gated Imaging Techniques* , Heart Rate* , Software*, Echocardiography, Doppler, Pulsed/*methods , Heart Diseases/*diagnostic imaging , Image Interpretation, Computer-Assisted/*methods, Aged ; Automation ; Female ; Heart Diseases/physiopathology ; Humans ; Male ; Middle Aged ; Myocardial Contraction ; Observer Variation ; Predictive Value of Tests ; Reproducibility of Results ; Ventricular Function, Left
مستخلص: Current guidelines for measuring cardiac function by tissue Doppler recommend using multiple beats, but this has a time cost for human operators. We present an open-source, vendor-independent, drag-and-drop software capable of automating the measurement process. A database of ~8000 tissue Doppler beats (48 patients) from the septal and lateral annuli were analyzed by three expert echocardiographers. We developed an intensity- and gradient-based automated algorithm to measure tissue Doppler velocities. We tested its performance against manual measurements from the expert human operators. Our algorithm showed strong agreement with expert human operators. Performance was indistinguishable from a human operator: for algorithm, mean difference and SDD from the mean of human operators' estimates 0.48 ± 1.12 cm/s (R 2  = 0.82); for the humans individually this was 0.43 ± 1.11 cm/s (R 2  = 0.84), -0.88 ± 1.12 cm/s (R 2  = 0.84) and 0.41 ± 1.30 cm/s (R 2  = 0.78). Agreement between operators and the automated algorithm was preserved when measuring at either the edge or middle of the trace. The algorithm was 10-fold quicker than manual measurements (p < 0.001). This open-source, vendor-independent, drag-and-drop software can make peak velocity measurements from pulsed wave tissue Doppler traces as accurately as human experts. This automation permits rapid, bias-resistant multi-beat analysis from spectral tissue Doppler images.
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معلومات مُعتمدة: 281524 International ERC_ European Research Council; FS/14/27/30752 United Kingdom BHF_ British Heart Foundation; FS/10/038 United Kingdom BHF_ British Heart Foundation; FS/10/38/28268 United Kingdom BHF_ British Heart Foundation; FS/12/12/29294 United Kingdom BHF_ British Heart Foundation
فهرسة مساهمة: Keywords: Automated; Echocardiography; Myocardial velocities; Tissue Doppler; Vendor-independent measurements
تواريخ الأحداث: Date Created: 20170222 Date Completed: 20180105 Latest Revision: 20220323
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC5501914
DOI: 10.1007/s10554-017-1092-4
PMID: 28220275
قاعدة البيانات: MEDLINE
الوصف
تدمد:1875-8312
DOI:10.1007/s10554-017-1092-4