Effect of a computer-aided diagnosis system on clinicians' performance in detection of small acute intracranial hemorrhage on computed tomography.
Rationale and Objectives: To analyze the effect of a computer-aided diagnosis (CAD) system on clinicians' performance in detection of small acute intracranial hemorrhage (AIH) on computed tomography (CT). Materials and Methods: The authors have developed a CAD scheme that used both image processing...
| Published in: | Academic Radiology Vol. 15; no. 3; pp. 290 - 300 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Mar2008
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105742838&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105742838 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10766332 T4X jtl: Academic Radiology issn: 10766332 maglogo: N pubinfo: dt: Mar2008 vid: 15 iid: 3 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 105742838 105742838 NLM18280927 2009814168 10.1016/j.acra.2007.09.022 NLM18280927 105742838 ppf: 290 ppct: 10 formats: tig: atl: Effect of a computer-aided diagnosis system on clinicians' performance in detection of small acute intracranial hemorrhage on computed tomography. aug: au: Chan T Huang HK Chan, Tao Huang, H K affil: Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong sug: subj: Clinical Competence Diagnosis, Computer Assisted Intracranial Hemorrhage Radiography Tomography, X-Ray Computed Methods Acute Disease Algorithms Emergency Medicine Image Interpretation, Computer Assisted Image Processing, Computer Assisted Methods Internship and Residency Knowledge Bases Observer Bias Pharmacokinetics ROC Curve Sensitivity and Specificity Specialties, Medical Education Human ab: Rationale and Objectives: To analyze the effect of a computer-aided diagnosis (CAD) system on clinicians' performance in detection of small acute intracranial hemorrhage (AIH) on computed tomography (CT). Materials and Methods: The authors have developed a CAD scheme that used both image processing techniques and anatomic knowledge based classification system to improve diagnosis of small AIH on CT. A multiple-reader, multiple-case receiver operating characteristic (ROC) study was performed. Twenty clinicians, including seven emergency physicians, seven radiology residents, and six radiology specialists were recruited as readers of 60 sets of brain CT, including 30 cases that show AIH smaller than 1 cm, and 30 controls. Each reader read the same 60 cases twice, first without, then with the prompts produced by the CAD system. The clinicians ranked their confidence in diagnosing a case of showing AIH, which produced the ROC curves. Results: Significantly improved performance is observed in emergency physicians, average area under the ROC curve (Az) increased from 0.8422 to 0.9294 (P = .0107) when they make the diagnosis without and with the support of CAD. Az for radiology residents increased from 0.9371 to 0.9762 (P = .0088). Az for radiology specialists increased from 0.9742 to 0.9868, but was statistically insignificant (P = .1755). Conclusions: CAD can improve the clinicians' performance in detecting AIH on CT. In particular, emergency physicians can benefit most from the CAD and improve their performance to a level approaching that of the average radiology residents. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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