Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder.

Objective: To develop and validate an individual radiomics nomogram for differential diagnosis between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD).Methods: We retrospectively collected 67 MS and 68 NMOSD with spinal cord lesions as a primary cohort and prospectively re...

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Publicado en:European Radiology Vol. 29; no. 9; pp. 4670 - 4678
Autores principales: Liu, Yaou, Dong, Di, Zhang, Liwen, Zang, Yali, Duan, Yunyun, Qiu, Xiaolu, Huang, Jing, Dong, Huiqing, Barkhof, Frederik, Hu, Chaoen, Fang, Mengjie, Tian, Jie, Li, Kuncheng
Formato: Journal Article
Publicado: Springer Nature Sep2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder.
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        au:
          Liu, Yaou
          Dong, Di
          Zhang, Liwen
          Zang, Yali
          Duan, Yunyun
          Qiu, Xiaolu
          Huang, Jing
          Dong, Huiqing
          Barkhof, Frederik
          Hu, Chaoen
          Fang, Mengjie
          Tian, Jie
          Li, Kuncheng
        affil: Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, 100050, Beijing, People's Republic of China
      sug:
        subj:
          Neuromyelitis Optica Diagnosis
          Magnetic Resonance Imaging Methods
          Spinal Cord
          Spinal Cord Pathology
          Multiple Sclerosis Diagnosis
          Retrospective Design
          Pharmacokinetics
          Reproducibility of Results
          Prospective Studies
          Adult
          Diagnosis, Differential
          Neuromyelitis Optica Pathology
          Multiple Sclerosis Pathology
          Female
          Male
          Scales
          Adult: 19-44 years
          Female
          Male
      ab: Objective: To develop and validate an individual radiomics nomogram for differential diagnosis between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD).Methods: We retrospectively collected 67 MS and 68 NMOSD with spinal cord lesions as a primary cohort and prospectively recruited 28 MS and 26 NMOSD patients as a validation cohort. Radiomic features were extracted from the spinal cord lesions. A prediction model for differentiating MS and NMOSD was built by combining the radiomic features with several clinical and routine MRI measurements. The performance of the model was assessed with respect to its calibration plot and clinical discrimination in the primary and validation cohorts.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).Conclusions: A validated 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.Key Points: • Radiomic features of spinal cord lesions in MS and NMOSD were different. • Radiomic signatures can capture pathological alterations and help differentiate MS and NMOSD.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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