title: Predicting postoperative FEV1 using spiral computed tomography.
abstract: OBJECTIVE
  Lung resection for primary bronchogenic carcinoma in the setting of chronic obstructive pulmonary disease often requires a detailed assessment of lung function to avoid perioperative complications and long-term disability. The aim of this study was to test the hypothesis that a novel technique of spiral computed tomographic (CT) subtraction imaging provides accuracy equal to the current standard of radioisotope perfusion scintigraphy in predicting postoperative lung function.
  
  
  METHODS
  Preoperative lung function, radioisotope perfusion scintigraphy, spiral CT subtraction imaging, and assessment of postoperative lung function were performed in 25 patients with surgically resectable primary bronchogenic carcinoma. Comparisons of predicted postoperative lung function between the two modalities and to true postoperative lung function were performed using Pearson's correlation and linear regression analysis.
  
  
  RESULTS
  Among the 25 patients enrolled in the study, there was a high degree of agreement between the predicted value of postoperative forced expiratory lung volume in 1 second (FEV(1)) generated on novel contrast CT subtraction imaging and that on radioisotope perfusion scintigraphy (r = 0.96, P < .001). Furthermore, there was a strong correlation between the predicted and actual postoperative FEV(1) values for both imaging modalities (r = 0.87, P < .001, and r = 0.88, P < .001, respectively), among the 14 patients completing the study protocol.
  
  
  CONCLUSIONS
  A novel technique of CT subtraction imaging is equally accurate at predicting postoperative lung function as radioisotope perfusion scintigraphy, which may obviate the need for additional nuclear imaging in the context of the preoperative assessment of resectable lung cancer in high-risk patients.
authors.affiliation: Division of Respirology, London Health Sciences Centre, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, ON, Canada. cyamash@uwo.ca
authors.forename: Cory M
authors.initials: CM
authors.lastname: Yamashita
authors.forename: Jonathan
authors.initials: J
authors.lastname: Langridge
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Hergott
authors.forename: Richard I
authors.initials: RI
authors.lastname: Inculet
authors.forename: Richard A
authors.initials: RA
authors.lastname: Malthaner
authors.forename: Michael S
authors.initials: MS
authors.lastname: Lefcoe
authors.forename: Sanjay
authors.initials: S
authors.lastname: Mehta
authors.forename: Jeffery L
authors.initials: JL
authors.lastname: Mahon
authors.forename: Ting Y
authors.initials: TY
authors.lastname: Lee
authors.forename: David G
authors.initials: DG
authors.lastname: McCormack
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002289:Carcinoma, Non-Small-Cell Lung / Q000000981:diagnostic imaging* / Q000601:surgery*; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery*; D008297:Male; D008875:Middle Aged; D011182:Postoperative Care / Q000379:methods; D011379:Prognosis; D012129:Respiratory Function Tests / Q000379:methods*; D036542:Tomography, Spiral Computed / Q000379:methods*; D016896:Treatment Outcome