title: Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography.
abstract: To compare the capability of lung nodule detection and characterization between dual-energy radiography with color-representation (DCR) and conventional gray scale chest radiography (GSR).
  
  
  
  A total of 130 paired chest radiographs (DCR and GSR) obtained from 65 patients (14 with normal scans and 51 with pulmonary nodules) were evaluated. After analysis, 45 non-calcified and 21 calcified nodules were identified. DCR was obtained by adding color space within material-decomposed data (blue for high attenuation and red for low attenuation) and by compounding the manipulated data to one color image. Three radiologists marked suggested nodules on radiographic images and assessed the level of confidence of lesion presence and probability of nodule calcification by using a nine-point rating scale. The jackknife active free-response receiver operating characteristics (JAFROC) analysis was used to evaluate lesion detectability, and multi-reader multi-case receiver operating characteristics (MRMC ROC) analysis was used for the evaluation of the accuracy of nodule calcification prediction.
  
  
  
  Figures of merit (FOM) from JAFROC was 0.807 for DCR and 0.811 for GSR, respectively; nodule detectability was not significantly different between DCR and GSR (p = 0.93). Areas under curve (AUC) from MRMC ROC were 0.944 for DCR and 0.828 for GSR, respectively; performance of DCR in predicting lung nodule calcification was significantly higher than that of GSR (p = 0.04).
  
  
  
  DCR showed similar performance in terms of lung nodule detection compared with GSR. However, DCR does provide a significant benefit in predicting the presence of nodule calcification.
authors.affiliation: Department of Radiology, Konkuk University School of Medicine, Seoul, 143-729, South Korea.
authors.forename: Inyoung
authors.initials: I
authors.lastname: Song
authors.affiliation: Department of Radiology, Konkuk University School of Medicine, Seoul, 143-729, South Korea.
authors.forename: Jeong Geun
authors.initials: JG
authors.lastname: Yi
authors.affiliation: Department of Radiology, Konkuk University School of Medicine, Seoul, 143-729, South Korea.
authors.forename: Jeong Hee
authors.initials: JH
authors.lastname: Park
authors.affiliation: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea.
authors.forename: Kyung Soo
authors.initials: KS
authors.lastname: Lee
authors.affiliation: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 135-710, South Korea. mjchung@skku.edu.|Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, 135-710, South Korea. mjchung@skku.edu.
authors.forename: Myung Jin
authors.initials: MJ
authors.lastname: Chung
mesh_terms: D019540:Area Under Curve; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D012372:ROC Curve; D015900:Radiography, Dual-Energy Scanned Projection; D013902:Radiography, Thoracic / Q000379:methods*; D012680:Sensitivity and Specificity; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*
keywords: Color radiography; Dual-energy subtraction radiography; Radiography