title: Lung cancer perfusion: can we measure pulmonary and bronchial circulation simultaneously?
abstract: OBJECTIVE
  To describe a new CT perfusion technique for assessing the dual blood supply in lung cancer and present the initial results.
  
  
  METHODS
  This study was approved by the institutional review board. A CT protocol was developed, and a dual-input CT perfusion (DI-CTP) analysis model was applied and evaluated regarding the blood flow fractions in lung tumours. The pulmonary trunk and the descending aorta were selected as the input arteries for the pulmonary circulation and the bronchial circulation respectively. Pulmonary flow (PF), bronchial flow (BF), and a perfusion index (PI, = PF/ (PF + BF)) were calculated using the maximum slope method. After written informed consent was obtained, 13 consecutive subjects with primary lung cancer underwent DI-CTP.
  
  
  RESULTS
  Perfusion results are as follows: PF, 13.45 ± 10.97 ml/min/100 ml; BF, 48.67 ± 28.87 ml/min/100 ml; PI, 21 % ± 11 %. BF is significantly larger than PF, P < 0.001. There is a negative correlation between the tumour volume and perfusion index (r = 0.671, P = 0.012).
  
  
  CONCLUSIONS
  The dual-input CT perfusion analysis method can be applied successfully to lung tumours. Initial results demonstrate a dual blood supply in primary lung cancer, in which the systemic circulation is dominant, and that the proportion of the two circulation systems is moderately dependent on tumour size.
  
  
  CONCLUSIONS
  A new CT perfusion technique can assess lung cancer's dual blood supply. A dual blood supply was confirmed with dominant bronchial circulation in lung cancer. The proportion of the two circulations is moderately dependent on tumour size. This new technique may benefit the management of lung cancer.
authors.affiliation: Department of Radiology, The 309th Hospital of Chinese People's Liberation Army, 17 Heishanhu Road, Haidian District, Beijing 100091, People's Republic of China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Yuan
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang
authors.forename: Guokun
authors.initials: G
authors.lastname: Ao
authors.forename: Changbin
authors.initials: C
authors.lastname: Quan
authors.forename: Yuan
authors.initials: Y
authors.lastname: Tian
authors.forename: Hong
authors.initials: H
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001980:Bronchi / Q000098:blood supply / Q000473:pathology*; D001981:Bronchial Arteries / Q000473:pathology; D005260:Female; D006801:Humans; D008168:Lung / Q000098:blood supply / Q000473:pathology*; D008175:Lung Neoplasms / Q000098:blood supply* / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D010477:Perfusion; D011446:Prospective Studies; D011651:Pulmonary Artery / Q000473:pathology; D011652:Pulmonary Circulation; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed / Q000379:methods*