Literature DB >> 7977092

Ultrasonic tissue characterization for diagnosis of acute myocardial infarction in the coronary care unit.

K Saeian1, T L Rhyne, K B Sagar.   

Abstract

The purpose of this study was to determine the use of ultrasonic tissue characterization (UTC) for the diagnosis of acute myocardial infarction (AMI). Real-time UTC and conventional 2-dimensional echocardiography were performed with a research prototype and commercially available ultrasonoscope, respectively, in 60 consecutive patients with suspected AMI. Diagnosis of AMI was documented by the presence of 2 of the 3 following clinical criteria: (1) typical history, (2) characteristic electrocardiographic changes, and (3) an increase in creatine phosphokinase-MB. Myocardial infarction was present in 24 of 60 patients and absent in 36 of 60 patients. Tissue characterization correctly diagnosed the presence of myocardial infarction in 22 of 24 patients and the absence in 33 of 36 patients. Two-dimensional echocardiography detected the presence of myocardial infarction in 21 of 24 patients and the absence in 34 of 36 patients. UTC had 2 false-negative and 3 false-positive studies, all in the region of apical infarcts. Two-dimensional echocardiography had 3 false-negative studies in patients with non-Q-wave myocardial infarction and 2 false-positive studies in patients with complete left bundle branch block. Both techniques had a comparable sensitivity, specificity, and accuracy.

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Year:  1994        PMID: 7977092     DOI: 10.1016/0002-9149(94)90550-9

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  3 in total

Review 1.  Noninvasive cardiac imaging in suspected acute coronary syndrome.

Authors:  Pankaj Garg; S Richard Underwood; Roxy Senior; John P Greenwood; Sven Plein
Journal:  Nat Rev Cardiol       Date:  2016-02-25       Impact factor: 32.419

2.  Influence of contractility on myocardial ultrasonic integrated backscatter and cyclic variation in integrated backscatter.

Authors:  Xiaojun Bi; Youbin Deng; Min Pan; Haoyi Yang; Huijuan Xiang; Qing Chang; Chunlei Li
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2002

Review 3.  COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review.

Authors:  Jasjit S Suri; Anudeep Puvvula; Mainak Biswas; Misha Majhail; Luca Saba; Gavino Faa; Inder M Singh; Ronald Oberleitner; Monika Turk; Paramjit S Chadha; Amer M Johri; J Miguel Sanches; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Puneet Ahluwalia; Raghu Kolluri; Jagjit Teji; Mustafa Al Maini; Ann Agbakoba; Surinder K Dhanjil; Meyypan Sockalingam; Ajit Saxena; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Janet N A Ajuluchukwu; Mostafa Fatemi; Azra Alizad; Vijay Viswanathan; Pudukode R Krishnan; Subbaram Naidu
Journal:  Comput Biol Med       Date:  2020-08-14       Impact factor: 4.589

  3 in total

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