Comparison of the Diagnostic Utility of 4D-DSA with Conventional 2D- and 3D-DSA in the Diagnosis of Cerebrovascular Abnormalities

REFERENCES

1. 1.↵
   2. Davis B,
   3. Royalty K,
   4. Kowarschik M, et al

   . 4D digital subtraction angiography: implementation and demonstration of feasibility. AJNR Am J Neuroradiol 2013;34:1914–21 doi:10.3174/ajnr.A3529 pmid:23620072

   Abstract/FREE Full Text
2. 2.↵
   2. Sandoval-Garcia C,
   3. Royalty K,
   4. Yang P, et al

   . 4D-DSA a new technique for arteriovenous malformation evaluation: a feasibility study. J Neurointerv Surg 2016;8:300–04 doi:10.1136/neurintsurg-2014-011534 pmid:25583531

   Abstract/FREE Full Text
3. 3.↵
   2. Sandoval-Garcia C,
   3. Royalty K,
   4. Aagaard-Kienitz B, et al

   . A comparison of 4D-DSA with 2D and 3D-DSA in the analysis of normal vascular structures in a canine model. AJNR Am J Neuroradiol 2015;36:1959–63 doi:10.3174/ajnr.A4359 pmid:26089314

   Abstract/FREE Full Text
4. 4.↵
   2. Harris PA,
   3. Taylor R,
   4. Thielke R, et al

   . Research electronic data capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81 doi:10.1016/j.jbi.2008.08.010 pmid:18929686

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Fleiss JL

   . Measuring nominal scale agreement among many raters. Psychol Bull 1971;76:378–82 doi:10.1037/h0031619

   CrossRef
6. 6.↵
   2. Shrout PE,
   3. Fleiss JL

   . Intraclass correlations: uses in assessing rater reliability. Psychol Bull 1979;86:420–28 doi:10.1037/0033-2909.86.2.420 pmid:18839484

   CrossRefPubMedWeb of Science
7. 7.↵
   R Core Team: 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.eea.europa.eu/data-and-maps/indicators/oxygen-consuming-substances-in-rivers/r-development-core-team-2006. Accessed June 7, 2016.
8. 8.↵
   2. Matthias G,
   3. Lemon J,
   4. Ian Fellows PS

   . IRR: Various Coefficients of Interrater Reliability and Agreement. R package version 0.84. 2012. http://CRAN.R-project.org/package=irr. Accessed June 7, 2016.
9. 9.↵
   2. Wong SC,
   3. Nawawi O,
   4. Ramli N, et al

   . Benefits of 3D rotational DSA compared with 2D DSA in the evaluation of intracranial aneurysm. Acad Radiol 2012;19:701–07 doi:10.1016/j.acra.2012.02.012 pmid:22578227

   CrossRefPubMed
10. 10.↵
    2. Sandoval-Garcia C,
    3. Royalty ,
    4. Yang , et al

    . 4D-DSA: a new technique for arteriovenous malformation evaluation—a feasibility study. J Neurointerv Surg 2016:8:300–04 doi:10.1136/neurintsurg-2014-011534 pmid:25583531

    Abstract/FREE Full Text
11. 11.↵
    2. Srinivasan VM,
    3. Chintalapani C,
    4. Edward AM, et al

    . Application of 4-dimensional digital subtraction angiography for dural arteriovenous fistulas. World Neurosurg 2016;96:24–30 doi:10.1016/j.wneu.2016.05.021 pmid:27188639

    CrossRefPubMed
12. 12.↵
    2. Lescher S,
    3. Gehrisch S,
    4. Klein S, et al

    . Time-resolved 3D rotational angiography: display of detailed neurovascular anatomy in patients with intracranial vascular malformations. J Neurointerv Surg 2016 Aug 4. [Epub ahead of print] doi:10.1136/neurintsurg-2016-012462 pmid:27492375

    Abstract/FREE Full Text