Eligibility for Minimally Invasive Coronary Artery Bypass: Examination of Epicardial Adipose Tissue Using Computed

Kate E M Dillon1, Marjorie Johnson, Ian L Chan

  • 1From the *Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; and †Department of Radiology, and ‡Division of Cardiac Surgery, London Health Sciences Centre, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Insights

Preoperative CT scans can predict the need for conversion during robotic-assisted bypass surgery by measuring epicardial adipose tissue depth. This reduces conversion rates by 47% and improves surgical planning for coronary artery bypass grafting.

Area of Science:

  • Cardiovascular Surgery
  • Medical Imaging
  • Thoracic Surgery

Background:

  • Robotic-assisted endoscopic coronary artery bypass grafting offers minimally invasive benefits.
  • Intraoperative conversion to sternotomy is often necessitated by poor visualization of the left anterior descending artery due to epicardial adipose tissue.
  • Effective preoperative criteria are needed to minimize these conversions.

Purpose of the Study:

  • To evaluate if preoperative computed tomography (CT) imaging of epicardial adipose tissue can predict and reduce intraoperative conversions.
  • To establish exclusion criteria based on anatomical properties visible in CT scans.

Main Methods:

  • Retrospective analysis of CT angiography scans from 17 converted and 17 successful robotic-assisted procedures.
  • Measurement of epicardial adipose tissue depth overlying the left anterior descending coronary artery in axial CT slices.

Main Results:

  • Significantly less epicardial adipose tissue depth was observed in successful robotic-assisted cases (4.9 ± 1.9 mm) compared to converted cases (7.9 ± 3.2 mm).
  • Utilizing adipose tissue depth as a retrospective exclusion criterion reduced conversion rates by 47% with 94% specificity.
  • No significant differences in other adipose tissue measurements or body mass index were found between groups.

Conclusions:

  • Preoperative CT angiography measurements of epicardial adipose tissue can enhance surgical planning for robotic-assisted bypass.
  • This approach may significantly reduce the incidence of intraoperative procedural changes, optimizing patient outcomes.
Abstract

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