Advertisement

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Improved Turnaround Times | Median time to first decision: 12 days

Research ArticleAdult Brain
Open Access

Predicting Motor Outcome in Acute Intracerebral Hemorrhage

J. Puig, G. Blasco, M. Terceño, P. Daunis-i-Estadella, G. Schlaug, M. Hernandez-Perez, V. Cuba, G. Carbó, J. Serena, M. Essig, C.R. Figley, K. Nael, C. Leiva-Salinas, S. Pedraza and Y. Silva
American Journal of Neuroradiology May 2019, 40 (5) 769-775; DOI: https://doi.org/10.3174/ajnr.A6038

REFERENCES

  1. 1.↵
    2. Daverat P,
    3. Castel JP,
    4. Dartigues JF, et al
    . Death and functional outcome after spontaneous intracerebral hemorrhage: a prospective study of 166 cases using multivariate analysis. Stroke 1991;22:1–6 doi:10.1161/01.STR.22.1.1 pmid:1987664
    Abstract/FREE Full Text
  2. 2.↵
    2. Hendricks HT,
    3. van Limbeek J,
    4. Geurts AC, et al
    . Motor recovery after stroke: a systematic review of the literature. Arch Phys Med Rehabil 2002;83:1629–37 doi:10.1053/apmr.2002.35473 pmid:12422337
    CrossRefPubMedWeb of Science
  3. 3.↵
    2. Feng W,
    3. Wang J,
    4. Chhatbar PY, et al
    . Corticospinal tract lesion load: an imaging biomarker for stroke motor outcomes. Ann Neurol 2015;78:860–70 doi:10.1002/ana.24510 pmid:26289123
    CrossRefPubMed
  4. 4.↵
    2. Byblow WD,
    3. Stinear CM,
    4. Barber PA, et al
    . Proportional recovery after stroke depends on corticomotor integrity. Ann Neurol 2015;78:848–59 doi:10.1002/ana.24472 pmid:26150318
    CrossRefPubMed
  5. 5.↵
    2. Pineiro R,
    3. Pendlebury ST,
    4. Smith S, et al
    . Relating MRI changes to motor deficit after ischemic stroke by segmentation of functional motor pathways. Stroke 2000;31:672–79 doi:10.1161/01.STR.31.3.672 pmid:10700503
    Abstract/FREE Full Text
  6. 6.↵
    2. Pendlebury ST,
    3. Blamire AM,
    4. Lee MA, et al
    . Axonal injury in the internal capsule correlates with motor impairment after stroke. Stroke 1999;30:956–62 doi:10.1161/01.STR.30.5.956 pmid:10229727
    Abstract/FREE Full Text
  7. 7.↵
    2. Zhu LL,
    3. Lindenberg R,
    4. Alexander MP, et al
    . Lesion load of the corticospinal tract predicts motor impairment in chronic stroke. Stroke 2010;41:910–15 doi:10.1161/STROKEAHA.109.577023 pmid:20378864
    Abstract/FREE Full Text
  8. 8.↵
    2. Lindenberg R,
    3. Renga V,
    4. Zhu LL, et al
    . Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke. Neurology 2010;74:280–87 doi:10.1212/WNL.0b013e3181ccc6d9 pmid:20101033
    Abstract/FREE Full Text
  9. 9.↵
    2. Zhou Y,
    3. Wang Y,
    4. Wang J, et al
    . Inflammation in intracerebral hemorrhage: from mechanisms to clinical translation. Prog Neurobiol 2014;115:25–44 doi:10.1016/j.pneurobio.2013.11.003 pmid:24291544
    CrossRefPubMed
  10. 10.↵
    2. Venkatasubramanian C,
    3. Kleinman JT,
    4. Fischbein NJ, et al
    . Natural history and prognostic value of corticospinal tract Wallerian degeneration in intracerebral hemorrhage. J Am Heart Assoc 2013;2:e000090 doi:10.1161/JAHA.113.000090 pmid:23913508
    Abstract/FREE Full Text
  11. 11.↵
    2. Chaudhary N,
    3. Pandey AS,
    4. Gemmete JJ, et al
    . Diffusion tensor imaging in hemorrhagic stroke. Exp Neurol 2015;272:88–96 doi:10.1016/j.expneurol.2015.05.011 pmid:26015333
    CrossRefPubMed
  12. 12.↵
    2. Puig J,
    3. Pedraza S,
    4. Blasco G, et al
    . Wallerian degeneration in the corticospinal tract evaluated by diffusion tensor imaging correlates with motor deficit 30 days after middle cerebral artery ischemic stroke. AJNR Am J Neuroradiol 2010;31:1324–30 doi:10.3174/ajnr.A2038 pmid:20299434
    Abstract/FREE Full Text
  13. 13.↵
    2. Thomalla G,
    3. Glauche V,
    4. Weiller C, et al
    . Time course of Wallerian degeneration after ischaemic stroke revealed by diffusion tensor imaging. J Neurol Neurosurg Psychiatry 2005;76:266–68 doi:10.1136/jnnp.2004.046375 pmid:15654048
    Abstract/FREE Full Text
  14. 14.↵
    2. Lindenberg R,
    3. Zhu LL,
    4. Rüber T, et al
    . Predicting functional motor potential in chronic stroke patients using diffusion tensor imaging. Hum Brain Mapp 2012;33:1040–51 doi:10.1002/hbm.21266 pmid:21538700
    CrossRefPubMedWeb of Science
  15. 15.↵
    2. Puig J,
    3. Pedraza S,
    4. Blasco G, et al
    . Acute damage to the posterior limb of the internal capsule on diffusion tensor tractography as an early imaging predictor of motor outcome after stroke. AJNR Am J Neuroradiol 2011;32:857–63 doi:10.3174/ajnr.A2400 pmid:21474629
    Abstract/FREE Full Text
  16. 16.↵
    2. Kusano Y,
    3. Seguchi T,
    4. Horiuchi T, et al
    . Prediction of functional outcome in acute cerebral hemorrhage using diffusion tensor imaging at 3T: a prospective study. AJNR Am J Neuroradiol 2009;30:1561–65 doi:10.3174/ajnr.A1639 pmid:19556354
    Abstract/FREE Full Text
  17. 17.↵
    2. Yoshioka H,
    3. Horikoshi T,
    4. Aoki S, et al
    . Diffusion tensor tractography predicts motor functional outcome in patients with spontaneous intracerebral hemorrhage. Neurosurgery 2008;62:97–103 doi:10.1227/01.NEU.0000311066.03121.B8 pmid:18300896
    CrossRefPubMedWeb of Science
  18. 18.↵
    2. Wang DM,
    3. Li J,
    4. Liu JR, et al
    . Diffusion tensor imaging predicts long-term motor functional outcome in patients with acute supratentorial intracranial hemorrhage. Cerebrovasc Dis 2012;34:199–205 doi:10.1159/000341857 pmid:23006600
    CrossRefPubMed
  19. 19.↵
    2. Cheng CY,
    3. Hsu CY,
    4. Huang YC, et al
    . Motor outcome of deep intracerebral haemorrhage in diffusion tensor imaging: comparison of data from different locations along the corticospinal tract. Neurol Res 2015;37:774–81 doi:10.1179/1743132815Y.0000000050 pmid:26003992
    CrossRefPubMed
  20. 20.↵
    2. Kuzu Y,
    3. Inoue T,
    4. Kanbara Y, et al
    . Prediction of motor function outcome after intracerebral hemorrhage using fractional anisotropy calculated from diffusion tensor imaging. Cerebrovasc Dis 2012;33:566–73 doi:10.1159/000338904 pmid:22688137
    CrossRefPubMed
  21. 21.↵
    2. Koyama T,
    3. Tsuji M,
    4. Miyake H, et al
    . Motor outcome for patients with acute intracerebral hemorrhage predicted using diffusion tensor imaging: an application of ordinal logistic modeling. J Stroke Cerebrovasc Dis 2012;21:704–11 doi:10.1016/j.jstrokecerebrovasdis.2011.03.004 pmid:21511497
    CrossRefPubMed
  22. 22.↵
    2. Koyama T,
    3. Uchiyama Y,
    4. Domen K
    . Associations of diffusion-tensor fractional anisotropy and FIM outcome assessments after intracerebral hemorrhage. J Stroke Cerebrovasc Dis. 2018;27:2869–76 doi:10.1016/j.jstrokecerebrovasdis.2018.06.012 pmid:30072174
    CrossRefPubMed
  23. 23.↵
    2. Koyama T,
    3. Tsuji M,
    4. Nishimura H, et al
    . Diffusion tensor imaging for intracerebral hemorrhage outcome prediction: comparison using data from the corona radiata/internal capsule and the cerebral peduncle. J Stroke Cerebrovasc Dis 2013;22:72–79 doi:10.1016/j.jstrokecerebrovasdis.2011.06.014 pmid:21795065
    CrossRefPubMed
  24. 24.↵
    2. Steiner T,
    3. Al-Shahi Salman R,
    4. Beer R, et al
    ; European Stroke Organisation. European Stroke Organisation (ESO) guidelines for the management of spontaneous intracerebral hemorrhage. Int J Stroke 2014;9:840–55 doi:10.1111/ijs.12309 pmid:25156220
    CrossRefPubMed
  25. 25.↵
    2. Sulter G,
    3. Steen C,
    4. De Keyser J
    . Use of the Barthel index and modified Rankin scale in acute stroke trials. Stroke 1999;30:1538–41 doi:10.1161/01.STR.30.8.1538 pmid:10436097
    Abstract/FREE Full Text
  26. 26.↵
    2. Lazar M,
    3. Weinstein DM,
    4. Tsuruda JS, et al
    . White matter tractography using diffusion tensor deflection. Hum Brain Mapp 2003;18:306–21 doi:10.1002/hbm.10102 pmid:12632468
    CrossRefPubMedWeb of Science
  27. 27.↵
    2. Tao WD,
    3. Wang J,
    4. Schlaug G, et al
    . A comparative study of fractional anisotropy measures and ICH score in predicting functional outcomes after intracerebral hemorrhage. Neurocrit Care 2014;21:417–25 doi:10.1007/s12028-014-9999-2 pmid:24962895
    CrossRefPubMed
  28. 28.↵
    2. Wakana S,
    3. Jiang H,
    4. Nagae-Poetscher LM, et al
    . Fiber tract-based atlas of human white matter anatomy. Radiology 2004;230:77–87 doi:10.1148/radiol.2301021640 pmid:14645885
    CrossRefPubMedWeb of Science
  29. 29.↵
    2. Martin RM,
    3. Wright MJ,
    4. Lutkenhoff ES, et al
    . Traumatic hemorrhagic brain injury: impact of location and resorption on cognitive outcome. J Neurosurg 2017;126:796–804 doi:10.3171/2016.3.JNS151781 pmid:27231979
    CrossRefPubMed
  30. 30.↵
    2. Urday S,
    3. Beslow LA,
    4. Goldstein DW, et al
    . Measurement of PHE in intracerebral hemorrhage. Stroke 2015;46:1116–19 doi:10.1161/STROKEAHA.114.007565 pmid:25721012
    Abstract/FREE Full Text
  31. 31.↵
    2. Landis JR,
    3. Koch GG
    . The measurement of observer agreement for categorical data. Biometrics 1977;33:159–74 doi:10.2307/2529310 pmid:843571
    CrossRefPubMedWeb of Science
  32. 32.↵
    2. Doughty C,
    3. Wang J,
    4. Feng W, et al
    . Detection and predictive value of fractional anisotropy changes of the corticospinal tract in the acute phase of a stroke. Stroke 2016;47:1520–26 doi:10.1161/STROKEAHA.115.012088 pmid:27217504
    Abstract/FREE Full Text
  33. 33.↵
    2. Kumar P,
    3. Yadav AK,
    4. Misra S, et al
    . Prediction of upper extremity motor recovery after subacute intracerebral hemorrhage through diffusion tensor imaging: a systematic review and meta-analysis. Neuroradiology 2016;58:1043–50 doi:10.1007/s00234-016-1718-6 pmid:27438802
    CrossRefPubMed
  34. 34.↵
    2. Alexander AL,
    3. Lee JE,
    4. Wu YC, et al
    . Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging. Neuroimaging Clin N Am 2006;16:299–309, xi doi:10.1016/j.nic.2006.02.006 pmid:16731368
    CrossRefPubMedWeb of Science
  35. 35.↵
    2. Mori S
    . Fiber tracking: principles and strategies—a technical review. NMR Biomed 2002;15:468–80 doi:10.1002/nbm.781 pmid:12489096
    CrossRefPubMedWeb of Science
  36. 36.↵
    2. Mandelli ML,
    3. Berger MS,
    4. Bucci M, et al
    . Quantifying accuracy and precision of diffusion MR tractography of the corticospinal tract in brain tumors. J Neurosurg 2014;121:349–58 doi:10.3171/2014.4.JNS131160 pmid:24905560
    CrossRefPubMed
  37. 37.↵
    2. Chung S,
    3. Lu Y,
    4. Henry RG
    . Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters. Neuroimage 2006;33:531–41 doi:10.1016/j.neuroimage.2006.07.001 pmid:16938472
    CrossRefPubMedWeb of Science
  38. 38.↵
    2. Alexander AL,
    3. Lee JE,
    4. Lazar M, et al
    . Diffusion tensor imaging of the brain. Neurotherapeutics 2007;4:316–29 doi:10.1016/j.nurt.2007.05.011 pmid:17599699
    CrossRefPubMedWeb of Science
Back to top

In this issue

Advertisement
Print
Download PDF
Email Article
Cite this article
0 Responses
Respond to this article
Bookmark this article
Predicting Motor Outcome in Acute Intracerebral Hemorrhage
J. Puig, G. Blasco, M. Terceño, P. Daunis-i-Estadella, G. Schlaug, M. Hernandez-Perez, V. Cuba, G. Carbó, J. Serena, M. Essig, C.R. Figley, K. Nael, C. Leiva-Salinas, S. Pedraza, Y. Silva
American Journal of Neuroradiology May 2019, 40 (5) 769-775; DOI: 10.3174/ajnr.A6038
del.icio.us logo Twitter logo Facebook logo Mendeley logo
Purchase

Jump to section

Advertisement