[Image fusion of gated-SPECT and CT angiography in coronary artery disease. Importance of anatomic-functional

M Nazarena Pizzi1, S Aguadé Bruix, H Cuéllar Calabria

  • 1Unidad de Cardiología Nuclear, Hospital Universitari Vall d'Hebron, Barcelona, España.

Insights

This study highlights how combining myocardial perfusion SPECT and CT angiography images helped identify the specific culprit artery causing ischemia in a patient with acute coronary syndrome. This fusion imaging approach aids in precise diagnosis when traditional methods are unclear.

Area of Science:

  • Cardiovascular Imaging
  • Nuclear Cardiology
  • Interventional Cardiology

Background:

  • Acute coronary syndrome (ACS) without ST elevation requires accurate risk stratification and identification of the culprit lesion.
  • Myocardial perfusion gated SPECT is a key tool for assessing ischemia, but attributing defects to specific coronary arteries can be challenging.
  • Coronary CT angiography (CCTA) provides detailed anatomical information of coronary arteries.

Observation:

  • A 77-year-old patient presented with ACS without ST elevation and was initially assessed with myocardial perfusion gated SPECT, showing mild inferior ischemia.
  • Despite optimized medical therapy, the patient experienced persistent exertional dyspnea, prompting CCTA.
  • CCTA revealed severe lesions in the proximal right coronary artery (RCA).

Findings:

  • SPECT-CT fusion imaging successfully correlated the perfusion defect with the posterior descending artery originating from the RCA.
  • The fusion images were crucial in differentiating the RCA from the circumflex artery as the cause of ischemia in this co-dominant coronary system.
  • This case demonstrates the utility of SPECT-CT fusion in complex coronary artery anatomy.

Implications:

  • SPECT-CT fusion imaging can improve diagnostic accuracy in cases where the culprit artery is ambiguous.
  • This technique facilitates more targeted treatment strategies for patients with coronary artery disease.
  • Enhanced visualization through image fusion supports clinical decision-making in cardiology.

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