title: Focal area of ground-glass opacity and ground-glass opacity predominance on thin-section CT: discrimination between neoplastic and non-neoplastic lesions.
abstract: OBJECTIVE
  To reveal differences in thin-section computed tomography (CT) findings between lung neoplastic lesions and non-neoplastic lesions, which showed a focal area of ground-glass opacity or ground-glass opacity predominance.
  
  
  METHODS
  A total of 82 focal areas of ground-glass opacity and ground-glass opacity predominance, consisting of 38 neoplastic and 44 non-neoplastic lesions, were assessed retrospectively regarding their thin-section CT findings.
  
  
  RESULTS
  The frequency of wholly well-defined margin (p=0.001), spiculation (p=0.019), pleural indentation (p=0.016), air bronchograms (p=0.027), air-containing space (p=0.004) was significantly higher in neoplastic lesions than in non-neoplastic lesions. Thirty-four of 38 (89%) neoplastic lesions were well-defined in more than 50% of the circumference, of which nine had an air-containing space other than air bronchogram, whereas only one non-neoplastic lesion had these features.
  
  
  CONCLUSIONS
  A focal area of ground-glass opacity or ground-glass opacity predominance with a well-defined margin and air-containing space is more likely to be a neoplasm.
authors.affiliation: Department of Radiology, University of Yamanashi, Nakakoma-gun, Yamanashi Prefecture, Japan. nambu-a@gray.plala.or.jp
authors.forename: A
authors.initials: A
authors.lastname: Nambu
authors.forename: T
authors.initials: T
authors.lastname: Araki
authors.forename: Y
authors.initials: Y
authors.lastname: Taguchi
authors.forename: K
authors.initials: K
authors.lastname: Ozawa
authors.forename: K
authors.initials: K
authors.lastname: Miyata
authors.forename: M
authors.initials: M
authors.lastname: Miyazawa
authors.forename: Y
authors.initials: Y
authors.lastname: Hiejima
authors.forename: A
authors.initials: A
authors.lastname: Saito
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D016015:Logistic Models; D008168:Lung / Q000000981:diagnostic imaging / Q000473:pathology; D008171:Lung Diseases / Q000000981:diagnostic imaging / Q000473:pathology; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*