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Assessing the cause of T wave inversion in precordial leads with ECG mapping

M Yokuşoglu1, C Sag, H Karaeren

  • 1Department of Cardiology, Gülhane Military Medical Academy, Ankara, Turkey.

Insights

Precordial electrocardiographic (ECG) mapping accurately assesses T wave inversion in patients with angina pectoris. This method helps differentiate between coronary artery disease and normal findings, improving diagnostic accuracy.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Electrocardiography

Background:

  • T wave inversion in precordial leads can indicate coronary artery disease but also occurs in healthy individuals.
  • Distinguishing the cause of T wave inversion is crucial for accurate diagnosis and patient management.

Purpose of the Study:

  • To evaluate the diagnostic utility of precordial electrocardiographic (ECG) mapping in assessing T wave inversion.
  • To correlate ECG mapping patterns with findings from echocardiography and coronary angiography in patients with and without typical angina.

Main Methods:

  • Conducted precordial ECG mapping on 51 patients, categorized into groups with atypical (Group A) and typical (Group B) symptoms.
  • Correlated ECG mapping patterns (M, N, I) with echocardiography and coronary angiography results.
  • Assessed diagnostic accuracy metrics including sensitivity, specificity, and positive predictive value for N and I pattern mappings.

Main Results:

  • N pattern mapping demonstrated 100% sensitivity, specificity, and positive predictive value for identifying normal subjects.
  • I pattern mapping showed 100% sensitivity, 90% specificity, and 90% positive predictive value for detecting coronary artery disease.
  • Angiography confirmed coronary artery disease in all Group B patients with I pattern mapping and revealed normal findings in those with N pattern mapping.

Conclusions:

  • Precordial ECG mapping is a highly accurate non-invasive method for assessing T wave inversion in precordial leads.
  • Specific ECG mapping patterns (N and I) reliably differentiate between normal individuals and those with coronary artery disease.

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