Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists

References

1. 1.↵
   2. Bederson JB,
   3. Connolly ES Jr.,
   4. Batjer HH, et al

   ; American Heart Association. Guidelines for the management of aneurysmal subarachnoid hemorrhage: a statement for healthcare professionals from a special writing group of the Stroke Council, American Heart Association. Stroke 2009;40:994–1025 doi:10.1161/STROKEAHA.108.191395 pmid:19164800

   FREE Full Text
2. 2.↵
   2. Kapsalaki EZ,
   3. Rountas CD,
   4. Fountas KN

   . The role of 3 Tesla MRA in the detection of intracranial aneurysms. Int J Vasc Med 2012;2012:792834 doi:10.1155/2012/792834 pmid:22292121

   CrossRefPubMed
3. 3.↵
   2. Jäger HR,
   3. Mansmann U,
   4. Hausmann O, et al

   . MRA versus digital subtraction angiography in acute subarachnoid haemorrhage: a blinded multireader study of prospectively recruited patients. Neuroradiology 2000;42:313–26 doi:10.1007/s002340050892 pmid:10872150

   CrossRefPubMedWeb of Science
4. 4.↵
   2. Shahzad R,
   3. Younas F

   . Detection and characterization of intracranial aneurysms: magnetic resonance angiography versus digital subtraction angiography. J Coll Physicians Surg Pak 2011;21:325–29 doi:07.2011/JCPSP.325329 pmid:21711985

   CrossRefPubMed
5. 5.↵
   2. Li MH,
   3. Li YD,
   4. Tan HQ, et al

   . Contrast-free MRA at 3.0T for the detection of intracranial aneurysms. Neurology 2011;77:667–76 doi:10.1212/WNL.0b013e3182299f5a pmid:21775735

   Abstract/FREE Full Text
6. 6.↵
   2. Igase K,
   3. Matsubara I,
   4. Igase M, et al

   . Initial experience in evaluating the prevalence of unruptured intracranial aneurysms detected on 3-Tesla MRI. Cerebrovasc Dis 2012;33:348–53 doi:10.1159/000336015 pmid:22378479

   CrossRefPubMed
7. 7.↵
   2. Korogi Y,
   3. Takahashi M,
   4. Mabuchi N, et al

   . Intracranial aneurysms: diagnostic accuracy of MR angiography with evaluation of maximum intensity projection and source images. Radiology 1996;199:199–207 doi:10.1148/radiology.199.1.8633146 pmid:8633146

   CrossRefPubMedWeb of Science
8. 8.↵
   2. Kouskouras C,
   3. Charitanti A,
   4. Giavroglou C, et al

   . Intracranial aneurysms: evaluation using CTA and MRA—correlation with DSA and intraoperative findings. Neuroradiology 2004;46:842–50 doi:10.1007/s00234-004-1259-2 pmid:15448952

   CrossRefPubMedWeb of Science
9. 9.↵
   2. Adams WM,
   3. Laitt RD,
   4. Jackson A

   . The role of MR angiography in the pretreatment assessment of intracranial aneurysms: a comparative study. AJNR Am J Neuroradiol 2000;21:1618–28 pmid:11039340

   Abstract/FREE Full Text
10. 10.↵
    2. Hayashi N,
    3. Masutani Y,
    4. Masumoto T, et al

    . Feasibility of a curvature-based enhanced display system for detecting cerebral aneurysms in MR angiography. Magn Reson Med Sci 2003;2:29–36 doi:10.2463/mrms.2.29 pmid:16210817

    CrossRefPubMed
11. 11.↵
    2. Arimura H,
    3. Li Q,
    4. Korogi Y, et al

    . Computerized detection of intracranial aneurysms for three-dimensional MR angiography: feature extraction of small protrusions based on a shape-based difference image technique. Med Phys 2006;33:394–401 doi:10.1118/1.2163389 pmid:16532946

    CrossRefPubMed
12. 12.↵
    2. Kobashi S,
    3. Kondo K,
    4. Hata Y

    . Computer-aided diagnosis of intracranial aneurysms in MRA images with case-based reasoning. IEICE Trans Inf Syst 2006;E89-D:340–50 doi:10.1093/ietisy/e89-d.1.340

    CrossRef
13. 13.↵
    2. Yang X,
    3. Blezek DJ,
    4. Cheng LT, et al

    . Computer-aided detection of intracranial aneurysms in MR angiography. J Digit Imaging 2011;24:86–95 doi:10.1007/s10278-009-9254-0 pmid:19937083

    CrossRefPubMed
14. 14.↵
    2. Hirai T,
    3. Korogi Y,
    4. Arimura H, et al

    . Intracranial aneurysms at MR angiography: effect of computer-aided diagnosis on radiologists' detection performance. Radiology 2005;237:605–10 doi:10.1148/radiol.2372041734 pmid:16179404

    CrossRefPubMedWeb of Science
15. 15.↵
    2. Štepán-Buksakowska IL,
    3. Accurso JM,
    4. Diehn FE, et al

    . Computer-aided diagnosis improves detection of small intracranial aneurysms on MRA in a clinical setting. AJNR Am J Neuroradiol 2014;35:1897–902 doi:10.3174/ajnr.A3996 pmid:24924543

    Abstract/FREE Full Text
16. 16.↵
    2. Kakeda S,
    3. Korogi Y,
    4. Arimura H, et al

    . Diagnostic accuracy and reading time to detect intracranial aneurysms on MR angiography using a computer-aided diagnosis system. Am J Roentogenol 2008;190:459–65 doi:10.2214/AJR.07.2642 pmid:18212233

    CrossRefPubMed
17. 17.↵
    2. White PM,
    3. Wardlaw JM,
    4. Easton V

    . Can noninvasive imaging accurately depict intracranial aneurysms? A systematic review. Radiology 2000;217:361–70 doi:10.1148/radiology.217.2.r00nv06361 pmid:11058629

    CrossRefPubMedWeb of Science
18. 18.↵
    2. Wolfe JM,
    3. Horowitz TS,
    4. Kenner NM

    . Cognitive psychology: rare items often missed in visual searches. Nature 2005;435:439–40 doi:10.1038/435439a pmid:15917795

    CrossRefPubMedWeb of Science
19. 19.↵
    2. Nomura Y,
    3. Masutani Y,
    4. Miki S, et al

    . Performance improvement in computerized detection of cerebral aneurysms by retraining classifier using feedback data collected in routine reading environment. J Biomed Graph Comput 2014;4:12–21
20. 20.↵
    2. Dorai C,
    3. Jain AK

    . COSMOS: a representation scheme for 3D free-form objects. IEEE Trans Pattern Anal Mach Intell 1997;19:1115–30 doi:10.1109/34.625113

    CrossRef
21. 21.↵
    2. Sato Y,
    3. Nakajima S,
    4. Shiraga N, et al

    . Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Med Imag Anal 1998;2:143–68 doi:10.1016/S1361-8415(98)80009-1 pmid:10646760

    CrossRefPubMed
22. 22.↵
    2. Schapire RE,
    3. Freund Y,
    4. Bartlett P, et al

    . Boosting the margin: a new explanation for the effectiveness of voting methods. Ann Stat 1998;26:1651–86 doi:10.1214/aos/1024691352

    CrossRefWeb of Science
23. 23.↵
    2. Nomura Y,
    3. Hayashi N,
    4. Masutani Y, et al

    . CIRCUS: an MDA platform for clinical image analysis in hospitals. Transactions on Mass-Data Analysis of Images and Signals 2010;2:112–27
24. 24.↵
    2. Rinkel GJ,
    3. Djibuti M,
    4. Algra A, et al

    . Prevalence and risk of rupture of intracranial aneurysms: a systematic review. Stroke 1998;29:251–56 doi:10.1161/01.STR.29.1.251 pmid:9445359

    Abstract/FREE Full Text