Lesion Location-Based Prediction of Visual Field Improvement after XXXX .

@entity1 @entity227 @entity64 @entity2806 @entity1416 @entity385
BACKGROUND: Although the prognosis of @entity385 is highly dependent on the lesion location, it has rarely been quantitatively utilized. We investigated the usefulness of regional extent of @entity2806 (rEIL) predicting the improvement of @entity227 ( @entity227 ) in @entity1 with @entity1416 . METHODS: The rEILs were measured in each individual cortex after transforming the lesions to a standard atlas. Significant improvement of @entity227 was tentatively defined as 20% improvement at 3 months after @entity64 . The performances of clinical and imaging variables predicting significant improvement were measured by support vector machine. The maximum performance of variables predicting the significant improvement was compared between subgroups of variables (clinical, baseline severity and lesion volume) and the effect of adding rEIL to those subgroups of variables was evaluated. RESULTS: A total of 35 @entity1 were enrolled in this study. @entity1416 , MR-time from onset, rEILs in the lingual, calcarine, and cuneus cortices were good prognostic indicators of hemi- @entity227 (performance for predicting the significant improvement: 72.8  11.8%, 66.1  11.2%, respectively). A combination of the rEILs of each cortical subregions demonstrated a better predictive performance for hemi- @entity227 (83.8  9.5%) compared to a combination of clinical variables (72.8  11.8; p<0.001), baseline severity (63.0  11.9%; p<0.001), or lesion volume (62.6  12.7%; p<0.001). Adding a rEIL to other variables improved the prognostic prediction for hemi- @entity227 (74.4  11.6% to 91.3  7.7%; p<0.001). CONCLUSIONS: An estimation of rEIL provides useful information regarding the @entity2806 location. rEIL accurately predicts the significant improvement of @entity227 and enhances the prediction power when combined with other variables.
