Quantitative magnetic resonance imaging in a naturally occurring @entity235 model of XXXX .

@entity235 @entity602 @entity1566 @entity890
STUDY DESIGN: Retrospective cohort study. OBJECTIVES: To analyze magnetic resonance imaging (MRI) evaluator agreement in @entity235 with @entity1566 ( @entity1566 ) caused by @entity890 ( @entity890 ) using semiautomated and manual lesion segmentation and to analyze the associations between MRI and functional outcome. SETTING: United States of America. METHODS: T2-weighted MRIs from @entity235 with @entity1566 resulting from thoracolumbar @entity890 were identified from a database. Evaluators categorized MRIs on the basis of the presence or absence of a T2-hyperintense @entity602 in axial and sagittal images. A semiautomated segmentation algorithm was developed and used to estimate the lesion volume. Agreement between evaluators and between semiautomated and manual segmentation was analyzed. The relationships of qualitative and quantitative MRIs with behavioral functional outcome were analyzed. RESULTS: Axial images more commonly depicted lesions compared with sagittal images. Lesions in axial images had more consistent associations with functional outcome compared with sagittal images. There was imperfect qualitative agreement, and lesion volume estimation was imprecise. However, there was improved precision using semiautomated segmentation compared with manual segmentation. CONCLUSION: Lesion volume estimation in @entity235 with naturally occurring @entity1566 caused by @entity890 is challenging, and axial images have important advantages compared with sagittal images. The semiautomated segmentation algorithm described herein shows promise but may require further refinement.
