Non-enhanced abdominal CT for demonstration of painful abdominal conditions in patients not candidates for contrast-enhanced study,how does it help?

Document Type : Original Article

Authors

1 Radiology department , Benha university , Egypt

2 Elareesh general hospital ,Ministry of health ,Egypt

3 Assistant professor of diagnostic Radiology , Faculty of medicine ,Minia University ,Egypt

Abstract

Background: There is a wide variety of abdominal painful conditions that necessitate computed tomography (CT) imaging; our study was aimed to demonstrate the utility of non-enhanced computed tomography (NECT) of the abdomen as a standalone study to detect the cause of abdominal pain in patients who are not candidates for iodinated contrast administration.

Methods: Non-enhanced CT was performed to one hundred and seventy patients who presented with abdomino-pelvic pain that necessitates abdominal imaging by CT in conjunction with inability to use iodinated contrast media.

Results: There was 134/170 patients (~79%) showed clinically relevant radiologic diagnosis. The gastrointestinal system was the most commonly affected system (n= 81/170 ~ 48%). Of the total, 22 patients were presented with right lower quadrant pain and clinically suspected to have appendicitis; 14 of them were diagnosed with acute appendicitis on NECT with sensitivity, specificity and accuracy of 73.6%, 100% and 86.3% respectively. About 20% of patients required urgent management. Final diagnostic confirmation was made operatively in 20/134 cases whereas in remaining cases was based on the presence of specific imaging features, the response to specific therapy, and long-term follow-up. The percent agreement in the study was excellent between the readers; the inter-reader reliability was calculated at 97%.

Conclusion: Non-enhanced CT has the potential to detect the cause of abdominal pain in the setting of contraindication to iodinated contrast media in most situations. Using an appropriate checklist, a wide spectrum of clinically-relevant diagnoses could be identified with a significant impact on patient management.

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