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العنوان
Prognostic significance of myocardial salvage assessed by cardiovascular magnetic resonance in acute reperfused myocardial infarction/
المؤلف
Madkour,Sherihane Said Aly.
هيئة الاعداد
باحث / شيريهان سعيد على مدكور
مشرف / ليلى حسنى محمود
مشرف / احمد سمير ابراهيم
مشرف / ميرهان احمد نصر
مشرف / ضياء الدين أحمد كمال
تاريخ النشر
2017.
عدد الصفحات
163.p;
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2017
مكان الإجازة
جامعة عين شمس - كلية التمريض - Radiodiagnosis
الفهرس
Only 14 pages are availabe for public view

from 163

from 163

Abstract

Salvaging threatened myocardium in acute coronary occlusion is a key therapeutic objective. The extent of myocardium subject to ischemia is a determinant of infarct size and prognosis.
To assess the efficacy of reperfusion therapy, determination how much myocardium is salvaged by measuring the final infarct size in relation to the initial myocardium at risk is necessary.
Aim of the Work: to determine the prognostic significance of myocardial salvage assessed by cardiovascular magnetic resonance (CMR) in acute reperfused myocardial infarction.
Patients and Methods: In this study 25 patients with an acute ST segment elevation myocardial infarction (STEMI) followed by primary percutaneous intervention (PCI) will be selected and cardiac magnetic resonance will be done using 1.5 Tesla super conductive MR scanner (Philips Achieva-XR Medical Systems, Best, the Netherlands) in Ain Shams University Hospital
Results: MSI is significant related to Infarction volume, MVO volume, MVO percentage, myocardial salvage percentage, EF by echo or MRI and degree of diastolic dysfunction, area at risk is good predictor; infarcted fraction and MVO are fair predictors while MSI is poor predictor for occurrence of MACE.
Conclusion: MRI has a high sensitivity and specificity in detection of occurrence of MACE by different MS derived parameters. Area at risk, infarction fraction and MO volume has significant relations with occurrence of MACE 6 months after PCI; AAR is the strongest predictor.