| Computer-Aided Diagnosis for Detection of Lacunar Infarcts on MR Images: ROC Analysis of Radiologists' Performance. | |
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MedLine Citation:
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PMID: 22215250 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The purpose of this study was to retrospectively evaluate radiologist performance in detection of lacunar infarcts on T(1)- and T(2)-weighted images, without and with the use of a computer-aided diagnosis (CAD) scheme. Thirty T(1)-weighted and 30 T(2)-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 T(1)- and T(2)-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. |
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Authors:
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Yoshikazu Uchiyama; Takahiko Asano; Hiroki Kato; Takeshi Hara; Masayuki Kanematsu; Hiroaki Hoshi; Toru Iwama; Hiroshi Fujita |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-4 |
Journal Detail:
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Title: Journal of digital imaging : the official journal of the Society for Computer Applications in Radiology Volume: - ISSN: 1618-727X ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-4 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9100529 Medline TA: J Digit Imaging Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Computer and Control Engineering, Oita National College of Technology, 1666 Maki, Oita City, 870-0512, Japan, uchiyama@oita-ct.ac.jp. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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