Early Fiber Number Ratio Is a Surrogate of Corticospinal Tract Integrity and Predicts Motor Recovery After Stroke
In: Stroke, Jg. 47 (2015-09-20), Heft 4
Online
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Zugriff:
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 R 2 =0.13; p=ns), whereas iFNr showed strong correlation ( R 2 =0.56; P 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.
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Early Fiber Number Ratio Is a Surrogate of Corticospinal Tract Integrity and Predicts Motor Recovery After Stroke
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Autor/in / Beteiligte Person: | Coupé, Pierrick ; Poli, Mathilde ; Debruxelles, Sabrina ; Dousset, Vincent ; Munsch, Fanny ; Sibon, Igor ; Tourdias, Thomas ; Renou, Pauline ; Bigourdan, Antoine ; Sagnier, Sharmila ; Charles R.G. Guttmann ; Université de Bordeaux (UB) ; CHU de Bordeaux, Neuroimagerie diagnostique et thérapeutique ; Patch-based processing for medical and natural images (PICTURA) ; Laboratoire Bordelais de Recherche en Informatique (LaBRI) ; Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) ; Center for Neurological Imaging ; Departments of Radiology and Neurology ; Neurocentre Magendie-U862, Institut François Magendie, and Université de Bordeaux ; Institut National de la Santé et de la Recherche Médicale (INSERM) |
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Zeitschrift: | Stroke, Jg. 47 (2015-09-20), Heft 4 |
Veröffentlichung: | 2015 |
Medientyp: | unknown |
ISSN: | 1524-4628 (print) ; 0039-2499 (print) |
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