Diagnostic Role of Multi-Detector Computed Tomography in Acute Mesenteric Ischemia

Francesco Michele Ronza1, Teresa Letizia Di Gennaro2, Gianfranco Buzzo1

  • 1Department of Diagnostic Imaging, AORN "S. Anna e S. Sebastiano", 81100 Caserta, Italy.

Insights

Diagnosing acute mesenteric ischemia is difficult due to non-specific symptoms. Multi-Detector CT Angiography (MDCTA) is crucial for early detection, guiding treatment by identifying thrombosis and disease extent.

Area of Science:

  • Radiology
  • Gastroenterology
  • Vascular Surgery

Background:

  • Acute mesenteric ischemia (AMI) presents with non-specific symptoms, leading to delayed diagnosis and high mortality (up to 50%).
  • Early diagnosis is critical for effective management, differentiating between conditions amenable to non-operative management (NOM) and those requiring surgery.

Purpose of the Study:

  • To detail the optimal CT Angiography (CTA) protocol for diagnosing AMI.
  • To elucidate the arterial and venous supply of the gastrointestinal tract and associated ischemic patterns on CTA.
  • To describe key CT findings, including vascular, bowel, and extraintestinal signs, for accurate AMI diagnosis.

Main Methods:

  • Review of optimal CT Angiography (CTA) protocols for acute mesenteric ischemia.
  • Analysis of CTA imaging patterns of gastrointestinal arterial and venous supply.
  • Correlation of CT findings with disease severity and management strategies.

Main Results:

  • MDCTA is the primary imaging modality for suspected AMI, accurately detecting thrombosis and disease extent.
  • CTA provides essential information to differentiate between non-operative management (NOM) and surgical intervention.
  • Specific CT imaging patterns of vascular compromise, bowel wall changes, and extraintestinal findings aid prompt diagnosis.

Conclusions:

  • MDCTA is indispensable for the timely and accurate diagnosis of acute mesenteric ischemia.
  • Understanding CTA protocols and imaging patterns is vital for emergency settings.
  • MDCTA facilitates appropriate clinical and surgical management decisions, potentially improving patient outcomes.

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