Literature DB >> 26979863

Early Fiber Number Ratio Is a Surrogate of Corticospinal Tract Integrity and Predicts Motor Recovery After Stroke.

Antoine Bigourdan1, Fanny Munsch1, Pierrick Coupé1, Charles R G Guttmann1, Sharmila Sagnier1, Pauline Renou1, Sabrina Debruxelles1, Mathilde Poli1, Vincent Dousset1, Igor Sibon1, Thomas Tourdias2.   

Abstract

BACKGROUND AND
PURPOSE: The contribution of imaging metrics to predict poststroke motor recovery needs to be clarified. We tested the added value of early diffusion tensor imaging (DTI) of the corticospinal tract toward predicting long-term motor recovery.
METHODS: One hundred seventeen patients were prospectively assessed at 24 to 72 hours and 1 year after ischemic stroke with diffusion tensor imaging and motor scores (Fugl-Meyer). The initial fiber number ratio (iFNr) and final fiber number ratio were computed as the number of streamlines along the affected corticospinal tract normalized to the unaffected side and were compared with each other. The prediction of motor recovery (ΔFugl-Meyer) was first modeled using initial Fugl-Meyer and iFNr. Multivariate ordinal logistic regression models were also used to study the association of iFNr, initial Fugl-Meyer, age, and stroke volume with Fugl-Meyer at 1 year.
RESULTS: The iFNr correlated with the final fiber number ratio at 1 year (r=0.70; P<0.0001). The initial Fugl-Meyer strongly predicted motor recovery (≈73% of initial impairment) for all patients except those with initial severe stroke (Fugl-Meyer<50). For these severe patients (n=26), initial Fugl-Meyer was not correlated with motor recovery (R(2)=0.13; p=ns), whereas iFNr showed strong correlation (R(2)=0.56; P<0.0001). In multivariate analysis, the iFNr was an independent predictor of motor outcome (β=2.601; 95% confidence interval=0.304-5.110; P=0.031), improving prediction compared with using only initial Fugl-Meyer, age, and stroke volume (P=0.026).
CONCLUSIONS: Early measurement of FNr at 24 to 72 hours poststroke is a surrogate marker of corticospinal tract integrity and provides independent prediction of motor outcome at 1 year especially for patients with severe initial impairment.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  Wallerian degeneration; diffusion tensor imaging; magnetic resonance imaging; stroke; stroke volume

Mesh:

Year:  2016        PMID: 26979863     DOI: 10.1161/STROKEAHA.115.011576

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  20 in total

1.  Reperfusion plus Selective Intra-arterial Cooling (SI-AC) Improve Recovery in a Nonhuman Primate Model of Stroke.

Authors:  Di Wu; Yongjuan Fu; Longfei Wu; Mitchell Huber; Jian Chen; Tianqi Yao; Mo Zhang; Chuanjie Wu; Ming Song; Xiaoduo He; Sijie Li; Yongbiao Zhang; Shengli Li; Yuchuan Ding; Xunming Ji
Journal:  Neurotherapeutics       Date:  2020-10       Impact factor: 7.620

Review 2.  Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke.

Authors:  Josep Puig; Gerard Blasco; Gottfried Schlaug; Cathy M Stinear; Pepus Daunis-I-Estadella; Carles Biarnes; Jaume Figueras; Joaquín Serena; Maria Hernández-Pérez; Angel Alberich-Bayarri; Mar Castellanos; David S Liebeskind; Andrew M Demchuk; Bijoy K Menon; Götz Thomalla; Kambiz Nael; Max Wintermark; Salvador Pedraza
Journal:  Neuroradiology       Date:  2017-03-14       Impact factor: 2.804

3.  Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Authors:  Lara A Boyd; Kathryn S Hayward; Nick S Ward; Cathy M Stinear; Charlotte Rosso; Rebecca J Fisher; Alexandre R Carter; Alex P Leff; David A Copland; Leeanne M Carey; Leonardo G Cohen; D Michele Basso; Jane M Maguire; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

4.  Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke.

Authors:  David J Lin; Alison M Cloutier; Kimberly S Erler; Jessica M Cassidy; Samuel B Snider; Jessica Ranford; Kristin Parlman; Fabio Giatsidis; James F Burke; Lee H Schwamm; Seth P Finklestein; Leigh R Hochberg; Steven C Cramer
Journal:  Stroke       Date:  2019-10-25       Impact factor: 7.914

Review 5.  Post-stroke remodeling processes in animal models and humans.

Authors:  Carla Cirillo; Nabila Brihmat; Evelyne Castel-Lacanal; Alice Le Friec; Marianne Barbieux-Guillot; Nicolas Raposo; Jérémie Pariente; Alain Viguier; Marion Simonetta-Moreau; Jean-François Albucher; Jean-Marc Olivot; Franck Desmoulin; Philippe Marque; François Chollet; Isabelle Loubinoux
Journal:  J Cereb Blood Flow Metab       Date:  2019-10-23       Impact factor: 6.200

Review 6.  Optimizing functional outcome endpoints for stroke recovery studies.

Authors:  Mustafa Balkaya; Sunghee Cho
Journal:  J Cereb Blood Flow Metab       Date:  2019-09-14       Impact factor: 6.200

7.  A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training.

Authors:  Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2016-11-24       Impact factor: 3.919

Review 8.  Prediction of Walking and Arm Recovery after Stroke: A Critical Review.

Authors:  Li Khim Kwah; Robert D Herbert
Journal:  Brain Sci       Date:  2016-11-02

9.  Is the proportional recovery rule applicable to the lower limb after a first-ever ischemic stroke?

Authors:  Janne M Veerbeek; Caroline Winters; Erwin E H van Wegen; Gert Kwakkel
Journal:  PLoS One       Date:  2018-01-12       Impact factor: 3.240

10.  Quantitative Corticospinal Tract Assessment in Acute Intracerebral Hemorrhage.

Authors:  Bastian Volbers; Angelika Mennecke; Nicola Kästle; Hagen B Huttner; Stefan Schwab; Manuel A Schmidt; Tobias Engelhorn; Arnd Doerfler
Journal:  Transl Stroke Res       Date:  2020-09-21       Impact factor: 6.829

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.