title: The accuracy of computed tomography in the diagnosis of chronic rhinosinusitis.
abstract: OBJECTIVE
  To determine the sensitivity, specificity, and diagnostic accuracy of paranasal sinus computed tomography (CT) in the diagnosis of chronic rhinosinusitis (CRS).
  
  
  METHODS
  Prospective dual cohort study.
  
  
  METHODS
  One hundred seventy-one consecutive patients undergoing endoscopic sinus surgery for CRS were evaluated with CT and staged according to the Lund system. Histopathological findings from sinus specimens were reviewed and graded. A second contemporaneous control group of 130 patients undergoing CT of the sinus regions for other reasons but without a diagnosis of CRS was also staged. Sensitivity, specificity, and the receiver-operator characteristic were determined for the sinus CT in the diagnosis of CRS. Positive and negative predictive values were also computed.
  
  
  RESULTS
  In the disease-positive group of patients with CRS, the mean Lund score was 9.8 (95% confidence interval, 9.0-10.6). The mean inflammatory grade on histopathological study was 2.3 (range, 0-4). For the control group (without disease), the mean Lund score was 4.3 (95% confidence interval, 3.5-5.0). The AUC for the receiver-operator characteristic was 0.802 (P <.001). Selecting a Lund score cut-off value of greater than 2 as abnormal, the sinus CT exhibited sensitivity and specificity of 94% and 41%, respectively. Increasing the cut-off value to 4 changed the sensitivity and specificity to 85% and 59%, respectively.
  
  
  CONCLUSIONS
  The paranasal sinus CT scan exhibits good sensitivity and above-average specificity for the diagnosis of CRS. When added to the history and physical findings, CT may add to the diagnostic accuracy of CRS.
authors.affiliation: Division of Otolaryngology, Brigham and Women's Hospital, Boston, MA 02467, USA. neiloy@massmed.org
authors.forename: Neil
authors.initials: N
authors.lastname: Bhattacharyya
authors.forename: Marvin P
authors.initials: MP
authors.lastname: Fried
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D016022:Case-Control Studies; D002908:Chronic Disease; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010256:Paranasal Sinuses / Q000000981:diagnostic imaging; D011237:Predictive Value of Tests; D015995:Prevalence; D011336:Probability; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012016:Reference Values; D012220:Rhinitis / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000503:physiopathology; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D017678:Sex Distribution; D012852:Sinusitis / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000503:physiopathology; D014057:Tomography, X-Ray Computed / Q000379:methods*