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Computer-aided diagnosis improves detection of small intracranial aneurysms on MRA in a clinical setting

IL. Štepán-Buksakowska, JM. Accurso, FE. Diehn, J. Huston, TJ. Kaufmann, PH. Luetmer, CP. Wood, X. Yang, DJ. Blezek, R. Carter, C. Hagen, D. Hořínek, A. Hejčl, M. Roček, BJ. Erickson,

. 2014 ; 35 (10) : 1897-902. [pub] 20140612

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc16000733

BACKGROUND AND PURPOSE: MRA is widely accepted as a noninvasive diagnostic tool for the detection of intracranial aneurysms, but detection is still a challenging task with rather low detection rates. Our aim was to examine the performance of a computer-aided diagnosis algorithm for detecting intracranial aneurysms on MRA in a clinical setting. MATERIALS AND METHODS: Aneurysm detectability was evaluated retrospectively in 48 subjects with and without computer-aided diagnosis by 6 readers using a clinical 3D viewing system. Aneurysms ranged from 1.1 to 6.0 mm (mean = 3.12 mm, median = 2.50 mm). We conducted a multireader, multicase, double-crossover design, free-response, observer-performance study on sets of images from different MRA scanners by using DSA as the reference standard. Jackknife alternative free-response operating characteristic curve analysis with the figure of merit was used. RESULTS: For all readers combined, the mean figure of merit improved from 0.655 to 0.759, indicating a change in the figure of merit attributable to computer-aided diagnosis of 0.10 (95% CI, 0.03-0.18), which was statistically significant (F(1,47) = 7.00, P = .011). Five of the 6 radiologists had improved performance with computer-aided diagnosis, primarily due to increased sensitivity. CONCLUSIONS: In conditions similar to clinical practice, using computer-aided diagnosis significantly improved radiologists' detection of intracranial DSA-confirmed aneurysms of ≤6 mm.

Citace poskytuje Crossref.org

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$a Štěpán-Buksakowska, Irena $u From the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.) International Clinical Research Center (I.L.Š.-B., D.H., A.H.), St. Anne's University Hospital Brno, Brno, Czech Republic Department of Radiology (I.L.Š.-B., M.R.), Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic. $7 xx0200631
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$a Computer-aided diagnosis improves detection of small intracranial aneurysms on MRA in a clinical setting / $c IL. Štepán-Buksakowska, JM. Accurso, FE. Diehn, J. Huston, TJ. Kaufmann, PH. Luetmer, CP. Wood, X. Yang, DJ. Blezek, R. Carter, C. Hagen, D. Hořínek, A. Hejčl, M. Roček, BJ. Erickson,
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$a BACKGROUND AND PURPOSE: MRA is widely accepted as a noninvasive diagnostic tool for the detection of intracranial aneurysms, but detection is still a challenging task with rather low detection rates. Our aim was to examine the performance of a computer-aided diagnosis algorithm for detecting intracranial aneurysms on MRA in a clinical setting. MATERIALS AND METHODS: Aneurysm detectability was evaluated retrospectively in 48 subjects with and without computer-aided diagnosis by 6 readers using a clinical 3D viewing system. Aneurysms ranged from 1.1 to 6.0 mm (mean = 3.12 mm, median = 2.50 mm). We conducted a multireader, multicase, double-crossover design, free-response, observer-performance study on sets of images from different MRA scanners by using DSA as the reference standard. Jackknife alternative free-response operating characteristic curve analysis with the figure of merit was used. RESULTS: For all readers combined, the mean figure of merit improved from 0.655 to 0.759, indicating a change in the figure of merit attributable to computer-aided diagnosis of 0.10 (95% CI, 0.03-0.18), which was statistically significant (F(1,47) = 7.00, P = .011). Five of the 6 radiologists had improved performance with computer-aided diagnosis, primarily due to increased sensitivity. CONCLUSIONS: In conditions similar to clinical practice, using computer-aided diagnosis significantly improved radiologists' detection of intracranial DSA-confirmed aneurysms of ≤6 mm.
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$a Huston, J $u From the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.).
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$a Roček, M $u Department of Radiology (I.L.Š.-B., M.R.), Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic.
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