title: Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists.
abstract: Experiences with computer-assisted detection of cerebral aneurysms in diagnosis by radiologists in real-life clinical environments have not been reported. The purpose of this study was to evaluate the usefulness of computer-assisted detection in a routine reading environment.
  
  
  
  During 39 months in a routine clinical practice environment, 2701 MR angiograms were each read by 2 radiologists by using a computer-assisted detection system. Initial interpretation was independently made without using the detection system, followed by a possible alteration of diagnosis after referring to the lesion candidate output from the system. We used the final consensus of the 2 radiologists as the reference standard. The sensitivity and specificity of radiologists before and after seeing the lesion candidates were evaluated by aneurysm- and patient-based analyses.
  
  
  
  The use of the computer-assisted detection system increased the number of detected aneurysms by 9.3% (from 258 to 282). Aneurysm-based analysis revealed that the apparent sensitivity of the radiologists' diagnoses made without and with the detection system was 64% and 69%, respectively. The detection system presented 82% of the aneurysms. The detection system more frequently benefited radiologists than being detrimental.
  
  
  
  Routine integration of computer-assisted detection with MR angiography for cerebral aneurysms is feasible, and radiologists can detect a number of additional cerebral aneurysms by using the detection system without a substantial decrease in their specificity. The low confidence of radiologists in the system may limit its usefulness.
authors.affiliation: From the Departments of Computational Diagnostic Radiology and Preventive Medicine (S.M., N.H., Y.N., T.Y., M.N.) smiki-tky@umin.ac.jp.
authors.forename: S
authors.identifier: 0000-0001-6365-6531
authors.initials: S
authors.lastname: Miki
authors.affiliation: From the Departments of Computational Diagnostic Radiology and Preventive Medicine (S.M., N.H., Y.N., T.Y., M.N.).
authors.forename: N
authors.identifier: 0000-0003-2626-0751
authors.initials: N
authors.lastname: Hayashi
authors.affiliation: Faculty of Information Sciences and Graduate School of Information Sciences (Y.M.), Hiroshima City University, Hiroshima, Japan.
authors.forename: Y
authors.identifier: 0000-0001-8505-673X
authors.initials: Y
authors.lastname: Masutani
authors.affiliation: From the Departments of Computational Diagnostic Radiology and Preventive Medicine (S.M., N.H., Y.N., T.Y., M.N.).
authors.forename: Y
authors.identifier: 0000-0001-6471-9936
authors.initials: Y
authors.lastname: Nomura
authors.affiliation: From the Departments of Computational Diagnostic Radiology and Preventive Medicine (S.M., N.H., Y.N., T.Y., M.N.).
authors.forename: T
authors.identifier: 0000-0002-1924-5468
authors.initials: T
authors.lastname: Yoshikawa
authors.affiliation: Radiology (S.H., K.O.), The University of Tokyo Hospital, Tokyo, Japan.
authors.forename: S
authors.identifier: 0000-0002-7496-1651
authors.initials: S
authors.lastname: Hanaoka
authors.affiliation: From the Departments of Computational Diagnostic Radiology and Preventive Medicine (S.M., N.H., Y.N., T.Y., M.N.).
authors.forename: M
authors.identifier: 0000-0003-4229-5823
authors.initials: M
authors.lastname: Nemoto
authors.affiliation: Radiology (S.H., K.O.), The University of Tokyo Hospital, Tokyo, Japan.
authors.forename: K
authors.identifier: 0000-0003-3332-854X
authors.initials: K
authors.lastname: Ohtomo
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D002532:Intracranial Aneurysm / Q000000981:diagnostic imaging*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D000072177:Radiologists; D012680:Sensitivity and Specificity