Retrospective Validation of a Computer-Assisted Quantification Model of Intracerebral Hemorrhage Volume on Accuracy, Precision, and Acquisition Time, Compared with Standard ABC/2 Manual Volume Calculation

REFERENCES

1. 1.↵
   2. Flaherty ML,
   3. Haverbusch M,
   4. Sekar P, et al

   . Long-term mortality after intracerebral hemorrhage. Neurology 2006;66:1182–86 doi:10.1212/01.wnl.0000208400.08722.7c pmid:16636234

   Abstract/FREE Full Text
2. 2.↵
   2. Davis SM,
   3. Broderick J,
   4. Hennerici M, et al

   ; Recombinant Activated Factor VII Intracerebral Hemorrhage Trial Investigators. Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage. Neurology 2006;66:1175–81 doi:10.1212/01.wnl.0000208408.98482.99 pmid:16636233

   Abstract/FREE Full Text
3. 3.↵
   2. Morgenstern LB,
   3. Hemphill JC 3rd.,
   4. Anderson C, et al

   ; Amrican Heart Association Stroke Council and Council on Cardiovascular Nursing. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2010;41:2108–29 doi:10.1161/STR.0b013e3181ec611b pmid:20651276

   Abstract/FREE Full Text
4. 4.↵
   2. Divani AA,
   3. Majidi S,
   4. Luo X, et al

   . The ABCs of accurate volumetric measurement of cerebral hematoma. Stroke 2011;42:1569–74 doi:10.1161/STROKEAHA.110.607861 pmid:21566231

   Abstract/FREE Full Text
5. 5.↵
   2. Kothari RU,
   3. Brott T,
   4. Broderick JP, et al

   . The ABCs of measuring intracerebral hemorrhage volumes. Stroke 1996;27:1304–05 doi:10.1161/01.STR.27.8.1304 pmid:8711791

   Abstract/FREE Full Text
6. 6.↵
   2. Wang CW,
   3. Juan CJ,
   4. Liu YJ, et al

   . Volume-dependent overestimation of spontaneous intracerebral hematoma volume by the ABC/2 formula. Acta Radiol 2009;50:306–11 doi:10.1080/02841850802647039 pmid:19173095

   CrossRefPubMedWeb of Science
7. 7.↵
   2. Kosior JC,
   3. Idris S,
   4. Dowlatshahi D, et al

   ; PREDICT/Sunnybrook CTA ICH study investigators. Quantomo: validation of a computer-assisted methodology for the volumetric analysis of intracerebral haemorrhage. Int J Stroke 2011;6:302–05 doi:10.1111/j.1747-4949.2010.00579.x pmid:21609412

   CrossRefPubMed
8. 8.↵
   2. Osher S,
   3. Sethian JA

   . Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J Comput Phys 1988;79:12–49 doi:10.1016/0021-9991(88)90002-2

   CrossRefWeb of Science
9. 9.↵
   2. Anandh KR,
   3. Sujatha CM,
   4. Ramakrishnan S

   . Segmentation of ventricles in Alzheimer MR images using anisotropic diffusion filtering and level set method. Biomed Sci Instrum 2014;50:307–13 pmid:25405438

   PubMed
10. 10.↵
    2. Göçeri E

    . Fully automated liver segmentation using Sobolev gradient-based level set evolution. Int J Numer Method Biomed Eng 2016;32:e02765 doi:10.1002/cnm.2765 pmid:26728097

    CrossRefPubMed
11. 11.↵
    2. Ivanovska T,
    3. Laqua R,
    4. Wang L, et al

    . An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images. Comput Med Imaging Graph 2016;48:9–20 doi:10.1016/j.compmedimag.2015.11.005 pmid:26741125

    CrossRefPubMed
12. 12.↵
    2. Whitaker R

    . Volumetric deformable models: active blobs. Proc SPIE Int Soc Opt Eng 1994:2359:122–134
13. 13.↵
    2. Roberts M,
    3. Packer J,
    4. Sousa M, et al

    . A work-efficient GPU algorithm for level set segmentation. In: Proceedings of the Conference on High Performance Graphics. Saarbrucken, Germany: Eurographics Association. June 25–27, 2010
14. 14.↵
    2. Cates JE,
    3. Lefohn AE,
    4. Whitaker RT

    . GIST: an interactive, GPU-based level set segmentation tool for 3D medical images. Med Image Anal 2004;8:217–31 doi:10.1016/j.media.2004.06.022 pmid:15450217

    CrossRefPubMed
15. 15.↵
    2. Colliot O,
    3. Mansi T,
    4. Bernasconi N, et al

    . Segmentation of focal cortical dysplasia lesions using a feature-based level set. Med Image Comput Comput Assist Interv 2005;8:375–82 pmid:16685868

    PubMed
16. 16.↵
    2. Saba L,
    3. Gao H,
    4. Raz E, et al

    . Semiautomated analysis of carotid artery wall thickness in MRI. J Magn Reson Imaging 2014;39:1457–67 doi:10.1002/jmri.24307 pmid:24151182

    CrossRefPubMed
17. 17.↵
    2. Dang M,
    3. Modi J,
    4. Roberts M, et al

    . Validation study of a fast, accurate, and precise brain tumor volume measurement. Comput Methods Programs Biomed 2013;111:480–87 doi:10.1016/j.cmpb.2013.04.011 pmid:23693135

    CrossRefPubMed
18. 18.↵
    2. Dowlatshahi D,
    3. Demchuk AM,
    4. Flaherty ML, et al

    ; VISTA Collaboration. Defining hematoma expansion in intracerebral hemorrhage: relationship with patient outcomes. Neurology 2011;76:1238–44 doi:10.1212/WNL.0b013e3182143317 pmid:21346218

    Abstract/FREE Full Text
19. 19.↵
    2. Kessler LG,
    3. Barnhart HX,
    4. Buckler AJ, et al

    ; QIBA Terminology Working Group. The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions. Stat Methods Med Res 2015;24:9–26 doi:10.1177/0962280214537333 pmid:24919826

    CrossRefPubMed
20. 20.↵
    2. Eliasziw M,
    3. Young SL,
    4. Woodbury MG, et al

    . Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example. Phys Ther 1994;74:777–88 doi:10.1093/ptj/74.8.777 pmid:8047565

    Abstract/FREE Full Text
21. 21.↵
    2. Mitchell J,
    3. Karlik S,
    4. Lee D, et al

    . The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes. Med Phys 1996;23:85–97 doi:10.1118/1.597685 pmid:8700036

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Broderick JP,
    3. Brott TG,
    4. Duldner JE, et al

    . Volume of intracerebral hemorrhage: a powerful and easy-to-use predictor of 30-day mortality. Stroke 1993;24:987–93 doi:10.1161/01.STR.24.7.987 pmid:8322400

    Abstract/FREE Full Text
23. 23.↵
    2. Hemphill JC 3rd.,
    3. Bonovich DC,
    4. Besmertis L, et al

    . The ICH score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke 2001;32:891–97 doi:10.1161/01.STR.32.4.891 pmid:11283388

    Abstract/FREE Full Text
24. 24.↵
    2. Xu X,
    3. Chen X,
    4. Zhang J, et al

    . Comparison of the Tada formula with software slicer: precise and low-cost method for volume assessment of intracerebral hematoma. Stroke 2014;45:3433–35 doi:10.1161/STROKEAHA.114.007095 pmid:25316277

    Abstract/FREE Full Text
25. 25.↵
    2. Webb AJ,
    3. Ullman NL,
    4. Morgan TC, et al

    ; MISTIE and CLEAR Investigators. Accuracy of the ABC/2 score for intracerebral hemorrhage: systematic review and analysis of MISTIE, CLEAR-IVH, and CLEAR III. Stroke 2015;46:2470–76 doi:10.1161/STROKEAHA.114.007343 pmid:26243227

    Abstract/FREE Full Text
26. 26.↵
    2. Freeman WD,
    3. Barrett KM,
    4. Bestic JM, et al

    . Computer-assisted volumetric analysis compared with ABC/2 method for assessing warfarin-related intracranial hemorrhage volumes. Neurocrit Care 2008;9:307–12 doi:10.1007/s12028-008-9089-4 pmid:18392784

    CrossRefPubMed