title: Prediction of recurrent hemoptysis with MDCT angiography.
abstract: OBJECTIVE
  To identify the computed tomography (CT) findings to predict recurrent bleeding in patients with massive hemoptysis.
  
  
  METHODS
  Fifty-eight patients with massive hemoptysis underwent both CT and conventional bronchial angiography for bronchial artery embolization. Retrospective analysis was done to analyze the statistical differences in the initial CT findings between the nonrecurrent and recurrent hemoptysis groups using the Mann-Whitney U test and the chi or Fisher exact test. Stepwise logistic regression analysis was used to find predictive variables for the recurrence of hemoptysis.
  
  
  RESULTS
  After embolization, recurrence of hemoptysis was observed in 15 of 58 patients (26%). The diameter of bronchial (P = 0.001) and nonbronchial systemic arteries (P < 0.05), total number of dilated bronchial and nonbronchial systemic arteries (P = 0.001), pleural thickening (P = 0.01), extrapleural fat thickening (P = 0.004), and enhancing vascular structures within the extrapleural fat layer (P = 0.04) were significantly different in the nonrecurrent and recurrent hemoptysis groups. Stepwise logistic regression analysis showed that the total number of dilated bronchial and nonbronchial systemic arteries (odds ratio, 3.540; 95% confidence interval: 1.175, 10.662; P = 0.025) was a significant CT variable associated with the recurrence of hemoptysis.
  
  
  CONCLUSIONS
  CT bronchial angiography may help in the prediction of recurrent bleeding in patients with massive hemoptysis.
authors.affiliation: Department of Diagnostic Radiology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Pusan National University, Pusan, Korea.
authors.forename: Yeon Joo
authors.initials: YJ
authors.lastname: Jeong
authors.forename: Chang Won
authors.initials: CW
authors.lastname: Kim
authors.forename: Kun-Il
authors.initials: KI
authors.lastname: Kim
authors.forename: Su Mi
authors.initials: SM
authors.lastname: Shin
authors.forename: Im Jeong
authors.initials: IJ
authors.lastname: Seo
authors.forename: In Sook
authors.initials: IS
authors.lastname: Lee
authors.forename: Min Ki
authors.initials: MK
authors.lastname: Lee
mesh_terms: D000328:Adult; D000368:Aged; D000792:Angiography / Q000379:methods*; D001981:Bronchial Arteries; D016009:Chi-Square Distribution; D003287:Contrast Media; D004621:Embolization, Therapeutic; D005260:Female; D006469:Hemoptysis / Q000000981:diagnostic imaging* / Q000628:therapy; D006801:Humans; D007472:Iohexol / Q000031:analogs & derivatives; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012008:Recurrence; D012189:Retrospective Studies; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed
chemical_list: D003287:Contrast Media; D007472:Iohexol; C038192:iopromide