Article

Journal of Digital Imaging

, Volume 25, Issue 4, pp 497-503

First online:

Computer-Aided Diagnosis for Detection of Lacunar Infarcts on MR Images: ROC Analysis of Radiologists’ Performance

  • Yoshikazu UchiyamaAffiliated withDepartment of Computer and Control Engineering, Oita National College of Technology Email author 
  • , Takahiko AsanoAffiliated withDepartment of Radiology, Graduate School of Medicine, Gifu University
  • , Hiroki KatoAffiliated withDepartment of Radiology, Graduate School of Medicine, Gifu University
  • , Takeshi HaraAffiliated withDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • , Masayuki KanematsuAffiliated withDepartment of Radiology, Graduate School of Medicine, Gifu University
  • , Hiroaki HoshiAffiliated withDepartment of Radiology, Graduate School of Medicine, Gifu University
  • , Toru IwamaAffiliated withDepartment of Neurosurgery, Graduate School of Medicine, Gifu University
  • , Hiroshi FujitaAffiliated withDepartment of Intelligent Image Information, Graduate School of Medicine, Gifu University

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Abstract

The purpose of this study was to retrospectively evaluate radiologist performance in detection of lacunar infarcts on T1- and T2-weighted images, without and with the use of a computer-aided diagnosis (CAD) scheme. Thirty T1-weighted and 30 T2-weighted MR images obtained from 30 patients were used for assessing observer performance. These images were acquired using the fast spin-echo sequence with a 1.5-T MR imaging scanner. The group included 15 patients (age range, 48–83 years; mean age, 67.2 years; 10 men and five women) with a lacunar infarct and 15 patients (age range, 39–76 years; mean age, 64.0 years; eight men and seven women) without lacunar infarcts. Nine radiologists participated in the study. The radiologists initially interpreted the T1- and T2-weighted images without and then with the use of CAD, which indicated their confidence levels regarding the presence (or absence) of lacunar infarcts and the most likely position of a lesion on each MR scan. The observers’ performance without and with the computer output was evaluated by performing receiver operating characteristic analysis. For the nine radiologists, the mean area under the best-fit binormal receiver operating characteristic curve plotted for unit square values of radiologists who interpreted the images without and with the scheme were 0.891 and 0.937, respectively. The performance of the radiologists improved significantly when they used the computer output (p = 0.032). The CAD scheme has potential to improve the accuracy of radiologists’ performance in detection of lacunar infarcts.

Keywords

Lacunar infarct Magnetic resonance (MR) Computer-aided diagnosis (CAD) Observer study Receiver operating characteristic (ROC)