Reliability of Functional and Diffusion MR Imaging Near Cerebral Cavernous Malformations

References

1. 1.↵
   1. Ellis JA,
   2. Barrow DL

   . Supratentorial cavernous malformations. Handb Clin Neurol 2017;143:283–89 doi:10.1016/B978-0-444-63640-9.00027-8 pmid:28552151

   CrossRefPubMed
2. 2.↵
   1. Robinson JR,
   2. Awad IA,
   3. Masaryk TJ, et al

   . Pathological heterogeneity of angiographically occult vascular malformations of the brain. Neurosurgery 1993;33:547–54, discussion 554–55 doi:10.1227/00006123-199310000-00001 pmid:8232794

   CrossRefPubMedWeb of Science
3. 3.↵
   1. Akers A,
   2. Al-Shahi Salman R,
   3. Awad IA, et al

   . Synopsis of Guidelines for the Clinical Management of Cerebral Cavernous Malformations: Consensus Recommendations Based on Systematic Literature Review by the Angioma Alliance Scientific Advisory Board Clinical Experts Panel. Neurosurgery 2017;80:665–80 doi:10.1093/neuros/nyx091 pmid:28387823

   CrossRefPubMed
4. 4.↵
   1. Stapleton CJ,
   2. Barker FG

   . Cranial cavernous malformations: natural history and treatment. Stroke 2018;49:1029–35 doi:10.1161/STROKEAHA.117.017074 pmid:29535273

   FREE Full Text
5. 5.↵
   1. Winkler D,
   2. Lindner D,
   3. Strauss G, et al

   . Surgery of cavernous malformations with and without navigational support–a comparative study. Minim Invasive Neurosurg 2006;49:15–19 doi:10.1055/s-2005-919163 pmid:16547876

   CrossRefPubMed
6. 6.↵
   1. Flores BC,
   2. Whittemore AR,
   3. Samson DS, et al

   . The utility of preoperative diffusion tensor imaging in the surgical management of brainstem cavernous malformations. J Neurosurg 2015;122:653–62 doi:10.3171/2014.11.JNS13680 pmid:25574568

   CrossRefPubMed
7. 7.↵
   1. Januszewski J,
   2. Albert L,
   3. Black K, et al

   . The usefulness of diffusion tensor imaging and tractography in surgery of brainstem cavernous malformations. World Neurosurg 2016;93:377–88 doi:10.1016/j.wneu.2016.06.019 pmid:27312394

   CrossRefPubMed
8. 8.↵
   1. Li D,
   2. Jiao YM,
   3. Wang L, et al

   . Surgical outcome of motor deficits and neurological status in brainstem cavernous malformations based on preoperative diffusion tensor imaging: a prospective randomized clinical trial. J Neurosurg 2018;130:286–301 doi:10.3171/2017.8.JNS17854 pmid:29547081

   CrossRefPubMed
9. 9.↵
   1. Dietrich O,
   2. Biffar A,
   3. Baur-Melnyk A, et al

   . Technical aspects of MR diffusion imaging of the body. Eur J Radiol 2010;76:314–22 doi:10.1016/j.ejrad.2010.02.018 pmid:20299172

   CrossRefPubMed
10. 10.↵
    1. Yushkevich PA,
    2. Gerig G

    . ITK-SNAP: an intractive medical image segmentation tool to meet the need for expert-guided segmentation of complex medical images. IEEE Pulse 2017;8:54–57 doi:10.1109/MPUL.2017.2701493 pmid:28715317

    CrossRefPubMed
11. 11.↵
    1. Avants BB,
    2. Tustison NJ,
    3. Song G, et al

    . A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 2011;54:2033–44 doi:10.1016/j.neuroimage.2010.09.025 pmid:20851191

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Desikan RS,
    2. Ségonne F,
    3. Fischl B, et al

    . An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006;31:968–80 doi:10.1016/j.neuroimage.2006.01.021 pmid:16530430

    CrossRefPubMedWeb of Science
13. 13.↵
    1. Fischl B,
    2. van der Kouwe A,
    3. Destrieux C, et al

    . Automatically parcellating the human cerebral cortex. Cereb Cortex 2004;14:11–22 doi:10.1093/cercor/bhg087 pmid:14654453

    CrossRefPubMedWeb of Science
14. 14.↵
    1. Reuter M,
    2. Schmansky NJ,
    3. Rosas HD, et al

    . Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage 2012;61:1402–18 doi:10.1016/j.neuroimage.2012.02.084 pmid:22430496

    CrossRefPubMedWeb of Science
15. 15.↵
    1. Reuter M,
    2. Rosas HD,
    3. Fischl B

    . Highly accurate inverse consistent registration: a robust approach. Neuroimage 2010;53:1181–96 doi:10.1016/j.neuroimage.2010.07.020 pmid:20637289

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Woolrich MW,
    2. Jbabdi S,
    3. Patenaude B, et al

    . Bayesian analysis of neuroimaging data in FSL. Neuroimage 2009;45:S173–86 doi:10.1016/j.neuroimage.2008.10.055 pmid:19059349

    CrossRefPubMedWeb of Science
17. 17.↵
    1. Jenkinson M,
    2. Beckmann CF,
    3. Behrens TEJ, et al

    . FSL. Neuroimage 2012;62:782–90 doi:10.1016/j.neuroimage.2011.09.015 pmid:21979382

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Jenkinson M,
    2. Bannister P,
    3. Brady M, et al

    . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002;17:825–41 doi:10.1006/nimg.2002.1132 pmid:12377157

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Leemans A,
    2. Jones DK

    . The B-matrix must be rotated when correcting for subject motion in DTI data. Magn Reson Med 2009;61:1336–49 doi:10.1002/mrm.21890 pmid:19319973

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Woolrich MW,
    2. Ripley BD,
    3. Brady M, et al

    . Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage 2001;14:1370–86 doi:10.1006/nimg.2001.0931 pmid:11707093

    CrossRefPubMedWeb of Science
21. 21.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW, et al

    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(Suppl 1):S208–19 doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Sladky R,
    2. Friston KJ,
    3. Tröstl J, et al

    . Slice-timing effects and their correction in functional MRI. Neuroimage 2011;58:588–94 doi:10.1016/j.neuroimage.2011.06.078 pmid:21757015

    CrossRefPubMed
23. 23.↵
    1. Cox RW

    . AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 1996;29:162–73 doi:10.1006/cbmr.1996.0014 pmid:8812068

    CrossRefPubMedWeb of Science
24. 24.↵
    1. Taylor PA,
    2. Saad ZS

    . FATCAT: (an efficient) functional and tractographic connectivity analysis toolbox. Brain Connect 2013;3:523–35 doi:10.1089/brain.2013.0154 pmid:23980912

    CrossRefPubMed
25. 25.↵
    1. Zang Y,
    2. Jiang T,
    3. Lu Y, et al

    . Regional homogeneity approach to fMRI data analysis. Neuroimage 2004;22:394–400 doi:10.1016/j.neuroimage.2003.12.030 pmid:15110032

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Thickbroom GW,
    2. Byrnes ML,
    3. Morris IT, et al

    . Functional MRI near vascular anomalies: comparison of cavernoma and arteriovenous malformation. J Clin Neurosci 2004;11:845–48 doi:10.1016/j.jocn.2003.10.016 pmid:15519860

    CrossRefPubMed
27. 27.↵
    1. Zotta D,
    2. Di Rienzo A,
    3. Scogna A, et al

    . Supratentorial cavernomas in eloquent brain areas: application of neuronavigation and functional MRI in operative planning. J Neurosurg Sci 2005;49:13–19 pmid:15990714

    PubMed
28. 28.↵
    1. Campbell PG,
    2. Jabbour P,
    3. Yadla S, et al

    . Emerging clinical imaging techniques for cerebral cavernous malformations: a systematic review. Neurosurg Focus 2010;29:E6 doi:10.3171/2010.5.FOCUS10120 pmid:20809764

    CrossRefPubMed
29. 29.↵
    1. Caulo M,
    2. Esposito R,
    3. Mantini D, et al

    . Comparison of hypothesis- and a novel hybrid data/hypothesis-driven method of functional MR imaging analysis in patients with brain gliomas. AJNR Am J Neuroradiol 2011;32:1056–64 doi:10.3174/ajnr.A2428 pmid:21393411

    Abstract/FREE Full Text
30. 30.↵
    1. Chen CM,
    2. Hou BL,
    3. Holodny AI

    . Effect of age and tumor grade on BOLD functional MR imaging in preoperative assessment of patients with glioma. Radiology 2008;248:971–78 doi:10.1148/radiol.2483071280 pmid:18647847

    CrossRefPubMed
31. 31.↵
    1. Jack CR,
    2. Thompson RM,
    3. Butts RK, et al

    . Sensory motor cortex: correlation of presurgical mapping with functional MR imaging and invasive cortical mapping. Radiology 1994;190:85–92 doi:10.1148/radiology.190.1.8259434 pmid:8259434

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Cauley KA,
    2. Andrews T,
    3. Gonyea JV, et al

    . Magnetic resonance diffusion tensor imaging and tractography of intracranial cavernous malformations: preliminary observations and characterization of the hemosiderin rim. J Neurosurg 2010;112:814–23 doi:10.3171/2009.8.JNS09586 pmid:20367384

    CrossRefPubMed
33. 33.↵
    1. Faraji AH,
    2. Abhinav K,
    3. Jarbo K, et al

    . Longitudinal evaluation of corticospinal tract in patients with resected brainstem cavernous malformations using high-definition fiber tractography and diffusion connectometry analysis: preliminary experience. J Neurosurg 2015;123:1133–44 doi:10.3171/2014.12.JNS142169 pmid:26047420

    CrossRefPubMed
34. 34.↵
    1. Abhinav K,
    2. Nielsen TH,
    3. Singh R, et al

    . Utility of a quantitative approach using diffusion tensor imaging for prognostication regarding motor and functional outcomes in patients with surgically resected deep intracranial cavernous malformations. Neurosurgery 2020;86:665–75 doi:10.1093/neuros/nyz259 pmid:31360998

    CrossRefPubMed
35. 35.↵
    1. Rogalska M,
    2. Antkowiak L,
    3. Mandera M

    . Clinical application of diffusion tensor imaging and fiber tractography in the management of brainstem cavernous malformations: a systematic review. Neurosurg Rev 2022;45:2027–40 doi:10.1007/s10143-022-01759-7 pmid:35211879

    CrossRefPubMed
36. 36.↵
    1. Lin Y,
    2. Lin F,
    3. Kang D, et al

    . Supratentorial cavernous malformations adjacent to the corticospinal tract: surgical outcomes and predictive value of diffusion tensor imaging findings. J Neurosurg 2018;128:541–52 doi:10.3171/2016.10.JNS161179 pmid:28362238

    CrossRefPubMed
37. 37.↵
    1. Yuan R,
    2. Di X,
    3. Kim EH, et al

    . Regional homogeneity of resting-state fMRI contributes to both neurovascular and task activation variations. Magn Reson Imaging 2013;31:1492–500 doi:10.1016/j.mri.2013.07.005 pmid:23969197

    CrossRefPubMed
38. 38.↵
    1. Rosenow F,
    2. Alonso-Vanegas MA,
    3. Baumgartner C, et al

    ; Surgical Task Force, Commission on Therapeutic Strategies of the ILAE. Cavernoma-related epilepsy: review and recommendations for management—report of the Surgical Task Force of the ILAE Commission on Therapeutic Strategies. Epilepsia 2013;54:2025–35 doi:10.1111/epi.12402 pmid:24134485

    CrossRefPubMed
39. 39.↵
    1. Wahl M,
    2. Li YO,
    3. Ng J, et al

    . Microstructural correlations of white matter tracts in the human brain. Neuroimage 2010;51:531–41 doi:10.1016/j.neuroimage.2010.02.072 pmid:20206699

    CrossRefPubMedWeb of Science
40. 40.↵
    1. Fox MD,
    2. Snyder AZ,
    3. Vincent JL, et al

    . The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci U S A 2005;102:9673–78 doi:10.1073/pnas.0504136102 pmid:15976020

    Abstract/FREE Full Text
41. 41.↵
    1. Oouchi H,
    2. Yamada K,
    3. Sakai K, et al

    . Diffusion anisotropy measurement of brain white matter is affected by voxel size: underestimation occurs in areas with crossing fibers. AJNR Am J Neuroradiol 2007;28:1102–06 doi:10.3174/ajnr.A0488 pmid:17569968

    CrossRefPubMedWeb of Science