Pearls, Pitfalls, and Conditions that Mimic Mesenteric Ischemia at CT.
Laura A FitzpatrickMichael D Rivers-BowermanSeng ThipphavongSharon E ClarkeJudy A RoweAndreu F CostaPublished in: Radiographics : a review publication of the Radiological Society of North America, Inc (2021)
Acute mesenteric ischemia (AMI) is a life-threatening condition with a high mortality rate. The diagnosis of AMI is challenging because patient symptoms and laboratory test results are often nonspecific. A high degree of clinical and radiologic suspicion is required for accurate and timely diagnosis. CT angiography of the abdomen and pelvis is the first-line imaging test for suspected AMI and should be expedited. A systematic "inside-out" approach to interpreting CT angiographic images, beginning with the bowel lumen and proceeding outward to the bowel wall, mesentery, vasculature, and extraintestinal viscera, provides radiologists with a practical framework to improve detection and synthesis of imaging findings. The subtypes of AMI are arterial and venoocclusive disease, nonocclusive ischemia, and strangulating bowel obstruction; each may demonstrate specific imaging findings. Chronic mesenteric ischemia is more insidious at onset and almost always secondary to atherosclerosis. Potential pitfalls in the diagnosis of AMI include mistaking pneumatosis as a sign that is specific for AMI and not an imaging finding, misinterpretation of adynamic ileus as a benign finding, and pseudopneumatosis. Several enterocolitides can mimic AMI at CT angiography, such as inflammatory bowel disease, infections, angioedema, and radiation-induced enterocolitis. Awareness of pitfalls, conditions that mimic AMI, and potential distinguishing clinical and imaging features can assist radiologists in making an early and accurate diagnosis of AMI. ©RSNA, 2020.
Keyphrases
- acute myocardial infarction
- high resolution
- radiation induced
- computed tomography
- left ventricular
- artificial intelligence
- heart failure
- percutaneous coronary intervention
- machine learning
- cardiovascular disease
- radiation therapy
- physical activity
- mass spectrometry
- intensive care unit
- contrast enhanced
- deep learning
- case report
- climate change
- fluorescence imaging
- quantum dots
- risk factors
- sensitive detection
- dual energy
- sleep quality
- pet ct
- ulcerative colitis
- respiratory failure