title: Computer-assisted lung nodule volumetry from multi-detector row CT: influence of image reconstruction parameters.
abstract: OBJECTIVE
  To investigate differences in volumetric measurement of pulmonary nodules caused by changing the reconstruction parameters for multi-detector row CT.
  
  
  METHODS
  Thirty-nine pulmonary nodules less than 2 cm in diameter were examined by multi-slice CT. All nodules were solid, and located in the peripheral part of the lungs. The resultant 48 parameters images were reconstructed by changing slice thickness (1.25, 2.5, 3.75, or 5 mm), field of view (FOV: 10, 20, or 30 cm), algorithm (high-spatial frequency algorithm or low-spatial frequency algorithm) and reconstruction interval (reconstruction with 50% overlapping of the reconstructed slices or non-overlapping reconstruction). Volumetric measurements were calculated using commercially available software. The differences between nodule volumes were analyzed by the Kruskal-Wallis test and the Wilcoxon Signed-Ranks test.
  
  
  RESULTS
  The diameter of the nodules was 8.7+/-2.7 mm on average, ranging from 4.3 to 16.4mm. Pulmonary nodule volume did not change significantly with changes in slice thickness or FOV (p>0.05), but was significantly larger with the high-spatial frequency algorithm than the low-spatial frequency algorithm (p<0.05), except for one reconstruction parameter. The volumes determined by non-overlapping reconstruction were significantly larger than those of overlapping reconstruction (p<0.05), except for a 1.25 mm thickness with 10 cm FOV with the high-spatial frequency algorithm, and 5mm thickness. The maximum difference in measured volume was 16% on average between the 1.25 mm slice thickness/10 cm FOV/high-spatial frequency algorithm parameters and overlapping reconstruction.
  
  
  CONCLUSIONS
  Volumetric measurements of pulmonary nodules differ with changes in the reconstruction parameters, with a tendency toward larger volumes in high-spatial frequency algorithm and non-overlapping reconstruction compared to the low-spatial frequency algorithm and overlapping reconstruction.
authors.affiliation: Department of Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan. ohonda@radiol.med.osaka-u.ac.jp
authors.forename: Osamu
authors.initials: O
authors.lastname: Honda
authors.forename: Hiromitsu
authors.initials: H
authors.lastname: Sumikawa
authors.forename: Takeshi
authors.initials: T
authors.lastname: Johkoh
authors.forename: Noriyuki
authors.initials: N
authors.lastname: Tomiyama
authors.forename: Naoki
authors.initials: N
authors.lastname: Mihara
authors.forename: Atsuo
authors.initials: A
authors.lastname: Inoue
authors.forename: Mitsuko
authors.initials: M
authors.lastname: Tsubamoto
authors.forename: Javzandulam
authors.initials: J
authors.lastname: Natsag
authors.forename: Seiki
authors.initials: S
authors.lastname: Hamada
authors.forename: Hironobu
authors.initials: H
authors.lastname: Nakamura
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D008297:Male; D008875:Middle Aged; D011857:Radiographic Image Interpretation, Computer-Assisted; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging* / Q000473:pathology; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed / Q000379:methods*