title: [CT-guided percutaneous transthoracic aspiration biopsy of chest lesions: factors influencing the diagnostic accuracy].
abstract: OBJECTIVE
  To investigate the factors influencing the diagnostic accuracy of CT-guided percutaneous transthoracic aspiration biopsy of chest lesions.
  
  
  METHODS
  Data of pathology and clinical follow-up of 224 patients who had undergone CT-guided percutaneous transthoracic biopsy were collected. Univariate analysis and multivariate stepwise Logistic regression analysis were made to study the influence of the patient-related factors (sex, age, and presence of emphysema), lesion-related factors (histology, size, location, depth, and presence of cavity discovered by CT), and procedure factor (posture of patient during operation) on the diagnostic accuracy of CT-guided biopsy.
  
  
  RESULTS
  (1) One hundred and sixty-five lesions were diagnosed as malignant and 79 lesions as benign. The accuracy rate of CT-guided biopsy was 82.4% (201/244). Univariate analysis showed that the diagnostic accuracy rates of CT-guided biopsy for malignant and benign lesions were 88.5% and 69.6% respectively (chi(2) = 13.096, P < 0.01). The mean diameters of the lesions with correct diagnosis and of those misdiagnosed were 4.0 cm +/- 1.8 cm and 3.1 cm +/- 1.4 cm respectively (F = 8.805, P < 0.01). (2) Multivariate stepwise Logistic regression analysis showed that among the various factors only histology (regression coefficient = 0.320, Wald chi(2) = 7.126, P < 0.01) and size (regression coefficient = 1.114, Wald chi(2) = 4.951, P < 0.05) were significantly associated with diagnostic accuracy.
  
  
  CONCLUSIONS
  Histology and size of lesion are the determining factors for diagnostic accuracy of CT-guided transcutaneous thoracic needle aspiration biopsy.
authors.affiliation: Department of Radiology, China-Japan Friendship Hospital, Beijing 100029, China.
authors.forename: Zhenguo
authors.initials: Z
authors.lastname: Huang
authors.forename: Xuezhe
authors.initials: X
authors.lastname: Zhang
authors.forename: Wu
authors.initials: W
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001707:Biopsy, Needle / Q000379:methods; D002648:Child; D019937:Diagnostic Techniques and Procedures / Q000592:standards; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D013896:Thoracic Diseases / Q000000981:diagnostic imaging / Q000473:pathology*; D013909:Thorax / Q000473:pathology*; D014057:Tomography, X-Ray Computed