Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder
First author：Liu Yaou,Dong Di
Corresponding author：Liu Yaou ,Tian Jie
essential_information
- Person in charge：Liu Yaou,Dong Di
- Data Sources： OTHERS
- Number of papers：OTHERS20190804
- Published time：2019-02-15
2019-02-15
Published articles
Journal：European radiology
Publication type: Research Article
IF(IF): 5.315
PMID: 30770971 Link To Pubmed Full text Download
Background And Purpose
Method
We retrospectively collected 67 MS and 68 NMOSD with spinal cord lesions as a primary cohort and prospectively recruited 28MSand 26NMOSDpatients as a validation cohort.Radiomic features were extracted fromthe spinal cord lesions.A prediction model for differentiating MS and NMOSD was built by combining the radiomic features with several clinical and routineMRI measurements. The performance of the model was assessed with respect to its calibration plot and clinical discrim- ination in the primary and validation cohorts.
Conclusion
Avalidated nomogram that incorporates the radiomic signature of spinal cord lesions, as well as cord lesion length, sex, and EDSS score, can usefully differentiate MS and NMOSD.
Main results
Nine radiomics features extracted from an initial set of 485, predominantly reflecting lesion heterogeneity, combined with lesion length, patient sex, and EDSS, were selected to build the model for differentiating MS and NMOSD. The areas under the ROC curves (AUC) for differentiating the two diseases were 0.8808 and 0.7115, for the primary and validation cohort, respectively. This model demonstrated good calibration (C-index was 0.906 and 0.802 in primary and validation cohort).