Abstract
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.
Original language | English |
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Pages (from-to) | 545-561 |
Number of pages | 17 |
Journal | Radiographics |
Volume | 40 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 1 2020 |
Externally published | Yes |
Bibliographical note
Funding Information:Disclosures of Conflicts of Interest.—S.E.C. Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: grants/grants pending from GE Healthcare, patent pending for systems and methods for generating cancer prediction maps from multiparametric MRI with deep learning. Other activities: spouse has grant support from GE Healthcare.
Publisher Copyright:
© RSNA, 2020.
ASJC Scopus Subject Areas
- Radiology Nuclear Medicine and imaging
PubMed: MeSH publication types
- Journal Article
- Review