Diagnostic Performance of Multidetector Computed Tomography for Suspected Acute Appendicitis

2013 ◽  
Vol 2013 ◽  
pp. 179-181
Author(s):  
J.A. Stockman
2012 ◽  
Vol 30 (8) ◽  
pp. 1597-1601 ◽  
Author(s):  
Shang-Yu Wang ◽  
Jen-Feng Fang ◽  
Chien-Hung Liao ◽  
I-Ming Kuo ◽  
Chun-Hsiang Ou Yang ◽  
...  

2021 ◽  
Vol 104 (7) ◽  
pp. 1102-1108

Background: Computed tomography (CT) is generally accepted as a modality of choice for imaging workup in patients with suspected appendicitis. A standardized CT reporting system, CT certainty score, has been proposed to improve diagnostic accuracy and to reduce ambiguous CT reports. Objective: To assess the diagnostic performance and the reliability of the standardized CT reporting system for acute appendicitis in Thai adults. Materials and Methods: The present study was a retrospective data review of 421 adult patients who had CT scans of the appendix between January 2016 and December 2017. The clinical and imaging data were extracted and analyzed. The pathological result was used as a standard of reference. The diagnostic performance and interobserver agreement of the standardized CT reporting system were estimated. Results: One hundred sixty-three patients, with a mean age of 41.7 years, had clinical diagnoses of acute appendicitis. Using standardized CT report, radiologists were highly accurate at diagnosing appendicitis [area under curve (AUC) 0.988 (95% CI 0.98 to 1.00); p<0.001]. The estimated sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 95.1% (95% CI 90.6 to 97.9), 95.7% (95% CI 92.5 to 97.9), 93.4% (95% CI 88.7 to 96.2), 96.9% (95% CI 93.0 to 97.2), 95.5% (95% CI 93.0 to 97.3), respectively. The interobserver agreement was greater than 80% for all binary objective findings and more than 90% agreement on the presence or absence of greater-than-3-mm wall thickness, appendicolith, periappendiceal air, and right lower quadrant fluid collection. The use of CT certainty score had interobserver agreement of 78% (κ=0.69; 95% CI 0.62 to 0.77). Conclusion: Using a standardized CT reporting system yielded a high diagnostic accuracy and high reproducibility of supportive CT findings for appendicitis in at-risk patients. The standardized CT reporting system can improve diagnostic certainty, accuracy, and guide patient management. Keywords: Appendicitis; Certainty score; Computed tomography; Standardized reporting system


2020 ◽  
Vol 10 (9) ◽  
pp. 2130-2135
Author(s):  
Yong Liu ◽  
Tuo Su ◽  
Ping Wei ◽  
Wei Han ◽  
Zhili Ji

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.


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