title: Relationship between abnormalities on high-resolution CT and pulmonary function in systemic sclerosis.
abstract: OBJECTIVE
  To determine the predictive value of abnormalities on high-resolution CT (HRCT) on pulmonary disease in systemic sclerosis.
  
  
  METHODS
  Fifty-two patients suffering from systemic sclerosis.
  
  
  METHODS
  Pulmonary disease was defined by pulmonary function test abnormalities, ie, total lung capacity (TLC) <80% of predicted value and/or diffusion of carbon monoxide (DLCO) <75% of predicted value, without any pulmonary event other than systemic sclerosis in the medical history. Patients were divided in two groups, group A with pulmonary disease (29 patients) and group B without pulmonary disease (23 patients). HRCT abnormalities were scored on whole lungs. A decision matrix was constructed to determine sensitivity, specificity, positive and negative predictive values, and false-positive and false-negative rates. A receiver operating characteristic curve was constructed to determine the best compromise between sensitivity and specificity.
  
  
  RESULTS
  HRCT total scores were higher in group A (9.0+/-4.3) than in group B (5.0+/-2.8) (p < 0.001) and they correlated with TLC (r =-0.39, p < 0.005) and DLCO (r = -0.50, p < 0.0002). An HRCT score of 7 corresponded to the best compromise between sensitivity (0.60) and specificity (0.83), with a positive predictive value of 0.82. Taking into account a value of 10 for the HRCT score increased specificity to 1 but decreased sensitivity to 0.41.
  
  
  CONCLUSIONS
  A minimum score of 7 would be required to consider HRCT abnormalities in systemic sclerosis as predictive of pulmonary disease. An HRCT score of 10 makes it possible to establish the diagnosis of lung involvement severe enough to impair pulmonary function.
authors.affiliation: Groupe de Recherche Epithélium Respiratoire et Inflammation, CHU Bretonneau, Tours, France.
authors.forename: E
authors.initials: E
authors.lastname: Diot
authors.forename: E
authors.initials: E
authors.lastname: Boissinot
authors.forename: E
authors.initials: E
authors.lastname: Asquier
authors.forename: J L
authors.initials: JL
authors.lastname: Guilmot
authors.forename: E
authors.initials: E
authors.lastname: Lemarié
authors.forename: C
authors.initials: C
authors.lastname: Valat
authors.forename: P
authors.initials: P
authors.lastname: Diot
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008171:Lung Diseases / Q000000981:diagnostic imaging* / Q000209:etiology; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D012119:Respiration; D012129:Respiratory Function Tests; D012595:Scleroderma, Systemic / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D014057:Tomography, X-Ray Computed