title: Perforated appendicitis: accuracy of ct diagnosis and correlation of ct findings with the length of hospital stay.
abstract: OBJECTIVE
  To determine the sensitivity and specificity of CT findings in the differentiation of perforated from nonperforated appendicitis and correlate CT diagnosis with the length of hospital stay.
  
  
  METHODS
  An analytical study.
  
  
  METHODS
  This study was conducted at Radiology Department of Aga Khan University Hospital, Karachi, from January 2004 to June 2005.
  
  
  METHODS
  The study included 70 patients who presented with right lower quadrant abdominal pain and underwent pre-operative CT scan followed by appendectomy. Patients were divided into two groups of having perforated and nonperforated appendicitis on the basis of CT scan findings. The surgical and pathological reports combined were considered the reference standard for the diagnosis of perforated appendicitis. Various CT scan findings and average duration of hospital stay in days was compared by t-test.
  
  
  RESULTS
  Twenty-six (37%) of 70 patients had perforated appendicitis. It was correctly identified on pre-operative CT scan in 18 patients. There were 18 true positive diagnoses, 43 true negative diagnoses, 1 false positive diagnosis and 8 false negative diagnoses which yielded a sensitivity of 69%, specificity of 97%, positive predictive value of 94% and negative predictive value of 84%. Mean length of hospital stay in perforated group was 6.3 days and 2.9 days in nonperforated group. Severe periappendiceal inflammation, periappendiceal and or abdominopelvic fluid and abscess were significantly associated with perforated appendicitis and with a significant longer hospital stay (p < .001).
  
  
  CONCLUSIONS
  CT scan is 69% sensitive and 97% specific for the diagnosis of perforated appendicitis and constellation of CT findings can be used to select patients with perforated appendicitis for initial non-operative management. Presence of CT signs of significant appendiceal inflammation is independent predictor of longer hospital stay.
authors.affiliation: Department of Radiology, Aga Khan University Hospital, Karachi.
authors.forename: Asma Hina
authors.initials: AH
authors.lastname: Siddiqui
authors.forename: Shaista
authors.initials: S
authors.lastname: Afzal