Can fully automated detection of corticospinal tract damage be used in stroke patients?

ABSTRACT:

Objective

We compared manual infarct definition, which is time-consuming and open to bias, with an automated abnormal tissue detection method in measuring corticospinal tract-infarct overlap volumes in chronic stroke patients to help predict motor outcome.

Methods

Using diffusion tensor imaging and probabilistic tractography, 4 corticospinal tracts from the primary motor cortex, dorsal and ventral premotor cortices, and supplementary motor area to the ipsilateral lower pons were reconstructed in 23 healthy controls. Tract-infarct overlap volume of each of the 4 corticospinal tracts was determined by overlapping the patients' lesions onto the control tract templates, using both manually and automatically defined infarcts in 51 patients. Correlations with upper limb motor impa

SUBMITTER: Kou N 

PROVIDER: S-EPMC3721100 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature