title: Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.
abstract: OBJECTIVE
  The aim of this study was to evaluate the usefulness of computer-aided detection (CAD) in diagnosing early colorectal cancer using computed tomography colonography (CTC).
  
  
  METHODS
  A total of 30 CTC data sets for 30 early colorectal cancers in 30 patients were retrospectively reviewed by three radiologists. After primary evaluation, a second reading was performed using CAD findings. The readers evaluated each colorectal segment for the presence or absence of colorectal cancer using five confidence rating levels. To compare the assessment results, the sensitivity and specificity with and without CAD were calculated on the basis of the confidence rating, and differences in these variables were analyzed by receiver operating characteristic (ROC) analysis.
  
  
  RESULTS
  The average sensitivities for the detection without and with CAD for the three readers were 81.6% and 75.6%, respectively. Among the three readers, only one reader improved sensitivity with CAD compared to that without. CAD decreased specificity in all three readers. CAD detected 100% of protruding lesions but only 69.2% of flat lesions. On ROC analysis, the diagnostic performance of all three readers was decreased by use of CAD.
  
  
  CONCLUSIONS
  Currently available CAD with CTC does not improve diagnostic performance for detecting early colorectal cancer. An improved CAD algorithm is required for detecting flat lesions and reducing the false-positive rate.
authors.affiliation: Department of Radiology, St Marianna University School of Medicine, Kawasaki, Japan. tuyosi-m@marianna-u.ac.jp
authors.forename: Tsuyoshi
authors.initials: T
authors.lastname: Morimoto
authors.forename: Gen
authors.initials: G
authors.lastname: Iinuma
authors.forename: Junji
authors.initials: J
authors.lastname: Shiraishi
authors.forename: Yasuaki
authors.initials: Y
authors.lastname: Arai
authors.forename: Noriyuki
authors.initials: N
authors.lastname: Moriyama
authors.forename: Gareth
authors.initials: G
authors.lastname: Beddoe
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Nakijima
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000704:Analysis of Variance; D023881:Colonography, Computed Tomographic / Q000379:methods*; D015179:Colorectal Neoplasms / Q000000981:diagnostic imaging*; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012189:Retrospective Studies; D012680:Sensitivity and Specificity