title: Assessment of non-small cell lung cancer perfusion: pathologic-CT correlation in 15 patients.
abstract: OBJECTIVE
  To assess tumor perfusion with multi-detector row computed tomography (CT) in patients with non-small cell lung carcinoma and to correlate CT findings with pathologic results.
  
  
  METHODS
  This study was approved by the local Ethics Committee, and all patients provided written informed consent, which included information on the radiation exposure at the CT examinations. Fifteen consecutive patients (mean age, 60.5 years ± 7.7 [standard deviation]), including 14 men (mean age, 59.9 years ± 7.5) and one woman (age, 70 years) with histologically proved non-small cell lung carcinoma were prospectively enrolled. Overall, pathologic-CT correlations were examined in 31 focal tumoral zones. Comparative analysis was performed by using the χ(2) or the Fisher exact test for categoric data. For numeric data, group comparisons were performed by using the Mann-Whitney test.
  
  
  RESULTS
  Whole-tumor coverage (mean height, 4.3 cm ± 2.1) was possible in all patients with generation of colored parametric maps of volume transfer constant (K(trans)) and blood volume (BV) by using Patlak analysis. Of the 12 areas that showed high BV, 10 (83%) had a high K(trans); in all 12 cases, the vascular score was high, confirming the presence of numerous tumoral vessels. Nineteen areas showed low BV; when observed concurrently with a high K(trans) (seven of 19), the mean vessel number per area was significantly higher than that seen in areas with low BV and low K(trans) (12 of 19) (P = .038), suggestive of tumoral vessels associated with high interstitial pressure.
  
  
  CONCLUSIONS
  Whole-tumor perfusion analysis is technically feasible with 64-detector row CT, with two patterns suggestive of high tumoral vascularity.
  
  
  BACKGROUND
  http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100181/-/DC1.
authors.affiliation: Department of Thoracic Imaging and Pulmonary at Hospital Calmette, University Lille Nord de France (EA 2694 Boulevard Jules Leclercq, 59037 Lille, France.
authors.forename: Nunzia
authors.initials: N
authors.lastname: Tacelli
authors.forename: Martine
authors.initials: M
authors.lastname: Remy-Jardin
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Copin
authors.forename: Arnaud
authors.initials: A
authors.lastname: Scherpereel
authors.forename: Eric
authors.initials: E
authors.lastname: Mensier
authors.forename: Sophie
authors.initials: S
authors.lastname: Jaillard
authors.forename: Jean-Jacques
authors.initials: JJ
authors.lastname: Lafitte
authors.forename: Ernst
authors.initials: E
authors.lastname: Klotz
authors.forename: Alain
authors.initials: A
authors.lastname: Duhamel
authors.forename: Jacques
authors.initials: J
authors.lastname: Remy
mesh_terms: D000368:Aged; D002289:Carcinoma, Non-Small-Cell Lung / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000473:pathology; D016009:Chi-Square Distribution; D003287:Contrast Media; D005260:Female; D006801:Humans; D007472:Iohexol / Q000031:analogs & derivatives; D008175:Lung Neoplasms / Q000098:blood supply / Q000000981:diagnostic imaging* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media; D007472:Iohexol; C038192:iopromide