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The Use of Abdominal Computed Tomography Imaging Technology in the Treatment of Surgical Acute Abdominal Perforation

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Objective: The objective of this study is to explore the imaging features of abdominal Computed Tomography (CT) in patients with surgical acute abdominal perforation and to improve the diagnostic ability of perforated acute appendicitis (PAA). Method: Patients with suspected acute appendicitis and abdominal pain are selected as the study objects. According to the surgical records and pathological results, the patients are divided into PAA group and nonperforated acute appendicitis (NPAA) group. All patients are examined by abdominal CT. Postprocessing reconstruction technology such as multiple planar reconstruction (MPR) algorithm and curved planar reformat (CPR) algorithm are used as assistance to display the appendix, analyze and compare the images, observe the image performance of abdominal CT, and measure the diameter of the appendix. Results: The incidence of PAA specific signs (i.e. cellulitis around the appendix, abscess around the appendix, enhancement defect of the appendix wall, air accumulation outside the appendix cavity, fecal stone outside the appendix cavity) in PAA group is significantly higher than that in NPAA group (P < 0.05). Appearance of at least one specific sign for the diagnosis of PAA is 95.65%, the specificity is 92.59%, and the accuracy is 94.00%. The diameter of appendix in PAA group is significantly larger than that in NPAA group (P < 0.05). Compared with the diagnosis of simple specific signs, the specificity and accuracy of the combination of appendiceal diameter and specific signs in the diagnosis of PAA have been improved. Conclusion: With the help of MPR algorithm and CPR algorithm, abdominal CT imaging technology can accurately identify PAA and NPAA, which has important diagnostic value.

Keywords: Abdominal CT Imaging Technology; Appendix Diameter; NPAA; PAA; Surgical Acute Abdominal Perforation

Document Type: Research Article

Affiliations: Department of General Surgery, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China

Publication date: 01 August 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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