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Ileocecal herniation through the foramen of Winslow: MDCT diagnosis
Afshin Rezazadeh Azar1, Cécile Abraham, Bruno Coulier
1Department of Diagnostic Radiology, Clinique St. Luc, Rue St. Luc, 8, 5004, Bouge, Namur, Belgium. rezazadeh_afshin@yahoo.fr
Insights
A rare internal hernia caused a small bowel obstruction in a 45-year-old female. High-quality computed tomography (CT) with multiplanar reconstructions and vascular rendering accurately diagnosed the condition preoperatively.
Area of Science:
- Gastroenterology
- Radiology
- Surgical Anatomy
Background:
- Internal hernias are rare causes of small bowel obstruction.
- The foramen of Winslow is an uncommon site for internal hernias.
Observation:
- A 45-year-old female presented with symptoms of acute intestinal obstruction.
- Physical examination revealed abdominal pain, distention, and nausea.
Findings:
- A 64-row multi-detector computed tomography (CT) scan provided a definitive preoperative diagnosis.
- The obstruction was caused by an internal hernia involving the terminal ileum and cecum through the foramen of Winslow.
- CT multiplanar reconstructions and vascular volume rendering analysis were crucial for diagnosis.
Implications:
- This case highlights the diagnostic utility of advanced CT techniques for rare internal hernias.
- Accurate preoperative diagnosis can guide surgical management and improve patient outcomes.
- Understanding the anatomy of the foramen of Winslow is critical for diagnosing such hernias.
Abstract:
We report a rare case of small bowel obstruction of a 45-year-old female which was caused by internal hernia of the terminal ileum and cecum through the foramen of Winslow. The patient presented to the emergency department with acute abdominal pain, distention, and nausea, suggesting an intestinal obstruction. The complete unambiguous preoperative diagnosis was achieved by a 64-row multi-detector computed tomography. This report enlightens the utility and performances of high-quality computed tomography multiplanar reconstructions combined with vascular volume rendering analysis for the diagnosis of internal hernia.
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