2018
DOI: 10.1002/jmri.26326
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Radiomics Analysis of DTI Data to Assess Vision Outcome After Intravenous Methylprednisolone Therapy in Neuromyelitis Optic Neuritis

Abstract: Background Neuromyelitis optica‐optic neuritis (NMO‐ON) patients are routinely treated with intravenous methylprednisolone (IVMP). For the patients nonresponsive to IVMP, more effective but aggressive therapy of plasma exchange (PE) should be employed instead of IVMP in the first line. Purpose To assess the visual outcomes of NMO‐ON patients after IVMP by radiomics analysis of whole brain diffusion tensor imaging (DTI) data. Study Type Retrospective. Population In all, 57 NMO‐ON patients receiving IVMP therapy… Show more

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Cited by 16 publications
(11 citation statements)
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References 44 publications
(89 reference statements)
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“…Radiomics, as a newly-proposed method, aims to evaluate tumour heterogeneity by extracting high throughput features from medical images that reflect the underlying pathophysiology [[18], [19], [20]]. These radiomic features capture distinct phenotypic differences and may have prognostic and predictive value across different diseases [[21], [22], [23], [24]]. Emerging studies have demonstrated the excellent performance of radiomic models for predicting the pathological complete response (pCR) to NACT in rectal cancer [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Radiomics, as a newly-proposed method, aims to evaluate tumour heterogeneity by extracting high throughput features from medical images that reflect the underlying pathophysiology [[18], [19], [20]]. These radiomic features capture distinct phenotypic differences and may have prognostic and predictive value across different diseases [[21], [22], [23], [24]]. Emerging studies have demonstrated the excellent performance of radiomic models for predicting the pathological complete response (pCR) to NACT in rectal cancer [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…The main requirements for a radiomics study are the presence of a radiologic phenotype which allows for the clustering of patients based on differences within that phenotype or some correlation to the underlying biology, and the availability of imaging and clinical data. While not nearly as prevalent, 127 this has meant that nononcological diseases which require medical imaging as part of the standard of care have also been the subject of radiomics analysis, such as in the fields of neurology, 35 ophthalmology, 128 and dentistry. 129 Limitations of radiomics and future directions towards precision medicine While radiomics facilitates new possibilities in the field of personalised medicine, some challenges remain.…”
Section: Other Sites and Diseasesmentioning
confidence: 99%
“…Similar to fundus photography, a CNN ensemble has been developed to automatically segment and quantify the OCT images, improving prognosis and management of macular diseases [ 62 ]. Radiomic applications have recently appeared too [ 87 , 88 ].…”
Section: Application Contexts For Radiomicsmentioning
confidence: 99%