Kamran Ahmad Khan

Riphah International University, Saudi Arabia

Title: Assessment of Non-ischemic Wall Motion Abnormalities on Echocardiography

Biography

Kamran Ahmad is a highly skilled Cardiovascular Technologist and Certified Cardiac Sonographer, specializing in non-invasive cardiac diagnostics with a particular focus on advanced echocardiographic techniques.

With over six years of professional experience, Mr. Ahmad has contributed to various areas within the healthcare sector, including cardiology, cardiovascular investigations, and quality assurance and patient safety.

He holds both a graduate and master’s degree from Riphah International University. He is credentialed by the American Registry for Diagnostic Medical Sonography (ARDMS) and the American Board of Quality Assurance and Utilization Review Physicians (ABQAURP). Mr. Ahmad is also an active member of the Saudi Commission for Health Specialties and the Council of Allied Health Sciences Pakistan.

Abstract

Of all cardiac investigation the most important is to assess the left ventricular function and the most common and accurate way to LV function assessment is the investigation regional wall motion abnormalities. Wall motion abnormalities are most commonly associated with ischemic heart disease. Accurate detection and interpretation of RWMA are essential for diagnosing acute coronary syndromes, determining the extent of myocardial injury, LV function assessment and guiding therapeutic strategies. Echocardiography, as a non- invasive, real-time imaging tool, remains the preferred modality for evaluating myocardial motion due to its accessibility, safety and diagnostic resourcefulness.

However, wall motion abnormalities are not exclusive to ischemic etiologies. A wide spectrum of non- ischemic conditions can also present wall motion abnormalities of myocardium. Detecting and accurately assessing non-ischemic wall motion abnormalities is of great clinical importance, as these abnormalities are often associated with underlying structural or functional heart diseases, including cardiomyopathies, myocarditis, stress-induced cardiomyopathy, and conduction abnormalities such as the left bundle branch block. Early recognition is essential because these conditions may mimic ischemic patterns and lead to misdiagnosis, improper reporting, inappropriate treatment, or unnecessary invasive procedures like coronary angiography.

In summary, knowing these abnormal motions, recognizing & detection the pattern and assessment of NIWMAs are crucial for LV function measurements, accurate diagnosis, targeted treatment, and improved patient outcomes. By distinguishing non-ischemic from ischemic causes, clinicians can optimize care, avoid unnecessary invasive procedures, and tailor therapies to the underlying myocardial pathology.