title: Retrospective assessment of interobserver agreement and accuracy in classifications and measurements in subsolid nodules with solid components less than 8mm: which window setting is better?
abstract: OBJECTIVE
  To compare interobserver agreements among multiple readers and accuracy for the assessment of solid components in subsolid nodules between the lung and mediastinal window settings.
  
  
  METHODS
  Seventy-seven surgically resected nodules with solid components smaller than 8 mm were included in this study. In both lung and mediastinal windows, five readers independently assessed the presence and size of solid component. Bootstrapping was used to compare the interobserver agreement between the two window settings. Imaging-pathology correlation was performed to evaluate the accuracy.
  
  
  RESULTS
  There were no significant differences in the interobserver agreements between the two windows for both identification (lung windows, k = 0.51; mediastinal windows, k = 0.57) and measurements (lung windows, ICC = 0.70; mediastinal windows, ICC = 0.69) of solid components. The incidence of false negative results for the presence of invasive components and the median absolute difference between the solid component size and the invasive component size were significantly higher on mediastinal windows than on lung windows (P < 0.001 and P < 0.001, respectively).
  
  
  CONCLUSIONS
  The lung window setting had a comparable reproducibility but a higher accuracy than the mediastinal window setting for nodule classifications and solid component measurements in subsolid nodules.
  
  
  CONCLUSIONS
  • Reproducibility was similar between the two windows in nodule classifications. • Reproducibility was similar between the two windows in solid component measurements. • Accuracy for solid component assessment was higher on lung windows.
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.|Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.
authors.forename: Roh-Eul
authors.initials: RE
authors.lastname: Yoo
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea. jmgoo@plaza.snu.ac.kr.|Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. jmgoo@plaza.snu.ac.kr.
authors.forename: Jin Mo
authors.identifier: http://orcid.org/0000-0003-1791-7942
authors.initials: JM
authors.lastname: Goo
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.
authors.forename: Eui Jin
authors.initials: EJ
authors.lastname: Hwang
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.
authors.forename: Soon Ho
authors.initials: SH
authors.lastname: Yoon
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.
authors.forename: Chang Hyun
authors.initials: CH
authors.lastname: Lee
authors.affiliation: Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 110-744, Korea.|Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Chang Min
authors.initials: CM
authors.lastname: Park
authors.affiliation: Medical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.
authors.forename: Soyeon
authors.initials: S
authors.lastname: Ahn
mesh_terms: D000230:Adenocarcinoma / Q000000981:diagnostic imaging*; D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008297:Male; D008482:Mediastinum / Q000000981:diagnostic imaging; D008875:Middle Aged; D055613:Multiple Pulmonary Nodules / Q000000981:diagnostic imaging*; D015588:Observer Variation; D015203:Reproducibility of Results; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Adenocarcinoma; Classification; Dimensional measurement accuracy; Lung neoplasm; Multidetector computed tomography