Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

CT evaluation of gastrointestinal tract perforation.

Kwok-Wan Yeung1, Ming-Sung Chang, Chao-Peng Hsiao

  • 1Department of Radiology, Foo-Yin University Hospital, 5, Chung San Road, Tung Kang, Ping Tung, 928 Taiwan, ROC. kwyeung@ksts.seed.net.tw

Clinical Imaging
|October 9, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prevalence and associated factors of metabolic dysfunction-associated steatotic liver disease in Taiwan, 2001-2021.

Hepatology international·2026
Same author

Higher incidence of hepatocellular carcinoma in suppressed hepatitis B cirrhosis compared to cured hepatitis C cirrhosis.

The American journal of gastroenterology·2026
Same author

Editorial: Liver and Non-Liver Outcomes Between Different Subtypes of Steatotic Liver Disease.

Alimentary pharmacology & therapeutics·2026
Same author

Ambient nitrogen oxides exposure associated with hepatic steatosis in patients with chronic hepatitis B.

Journal of the Formosan Medical Association = Taiwan yi zhi·2026
Same author

Impact of Cardiometabolic Risk Factors and Steatotic Liver Disease on Liver-Related Outcomes in Patients With Chronic Hepatitis C After Curative Antiviral Therapy.

The Kaohsiung journal of medical sciences·2026
Same author

Predicting non-alcoholic fatty liver disease (NAFLD) using machine learning algorithms: Evidence from a large-scale community cohort in Taiwan.

Bioscience trends·2026

Computed tomography (CT) effectively identifies gastrointestinal tract (GI) perforations by detecting extraluminal air. Specific CT signs help differentiate proximal from distal GI perforations, improving diagnostic accuracy over plain films.

Area of Science:

  • Radiology
  • Gastroenterology
  • Medical Imaging

Background:

  • Gastrointestinal tract (GI) perforation is a critical condition requiring prompt diagnosis.
  • Distinguishing between proximal and distal GI perforations is crucial for appropriate management.
  • Computed tomography (CT) is a key imaging modality in evaluating suspected GI pathology.

Purpose of the Study:

  • To review the computed tomography (CT) appearance of gastrointestinal tract (GI) perforation.
  • To identify CT findings that differentiate proximal from distal GI perforations.
  • To compare the diagnostic efficacy of CT with upright plain films for detecting extraluminal air.

Main Methods:

  • Retrospective analysis of CT findings in 42 patients with confirmed GI perforation (10 proximal, 32 distal).

Related Experiment Videos

  • Evaluation of CT signs including extraluminal air (falciform ligament sign, scattered air), bowel wall thickening, abscess, ascites, and fat stranding.
  • Statistical comparison using Fisher's Exact Test and Z test for detection rates.
  • Main Results:

    • The CT-falciform ligament sign was more prevalent in proximal GI perforations.
    • Scattered extraluminal air, bowel wall thickening, and fat stranding were more frequent in distal GI perforations (P<.05).
    • CT detected extraluminal air in 69% of cases, significantly higher than upright plain films (19%).

    Conclusions:

    • Computed tomography (CT) is a valuable tool for diagnosing GI perforations.
    • Specific CT findings can help differentiate the location (proximal vs. distal) of GI perforations.
    • CT demonstrates superior sensitivity for detecting extraluminal air compared to conventional radiography.