Loading...
Does CT Reduce the Rate of Negative Laparoscopies for Acute Appendicitis? A Single-Center Retrospective Study.
Wagner, Pedro de J ; Haroon, Muthana ; Morarasu, Stefan ; Eguare, Emmanuel ; Al-Sahaf, Osama
Wagner, Pedro de J
Haroon, Muthana
Morarasu, Stefan
Eguare, Emmanuel
Al-Sahaf, Osama
Advisors
Editors
Other Contributors
Departments
Date
2020-01
Date Submitted
Keywords
Acute appendicitis
CT scan
laparoscopy
CT scan
laparoscopy
Other Subjects
Subject Mesh
Planned Date
Start Date
Collaborators
Principal Investigators
Files
Loading...
JMedLife-13-26.pdf
Adobe PDF, 444.59 KB
Alternative Titles
Publisher
Abstract
In surgical practice, surgeons request CT scans to rule out acute appendicitis, even in young patients. We aimed to assess the feasibility of using a CT scan to reduce the rate of negative laparoscopies in patients younger than 40 with equivocal signs of acute appendicitis. Therefore, we conducted a retrospective observational study on the patients admitted with a provisional diagnosis of acute appendicitis. Patients younger than 40 and with the Alvarado score between 3 and 6 were included. These were divided into two groups: those who had or did not have a CT scan. Each group was further subdivided into patients that had a laparoscopy and those that did not. Out of 204 patients included in the study, 16% were included in the CT group, and 84% in the non-CT group. 71.9% of the patients that underwent a CT scan had appendicitis and underwent an appendectomy. Five patients with a normal CT scan had appendectomy due to persistent signs of acute appendicitis. The histopathology of the 23 patients with positive CT was positive, and 3 of the 5 patients with negative CT that underwent appendectomy had positive histology results. The negative appendectomy rate for patients that had preoperative CT is 7.14% compared to 32.4% in patients without preoperative CT. The rate of negative laparoscopy in patients younger than 40 years old that undergo preoperative CT is significantly lower with a p-value of .00667.
Language
en
Citation
ISSN
eISSN
1844-3117
ISBN
DOI
10.25122/jml-2019-0099
PMID
32341697