Radiomics of Peripheral Nerves MRI in Mild Carpal and Cubital Tunnel Syndrome

Radiol Med. 2020 Feb;125(2):197-203. doi: 10.1007/s11547-019-01110-z. Epub 2019 Nov 26.

Abstract

Objective: To assess the discriminative power of radiomics of peripheral nerves at 1.5T MRI, using common entrapment neuropathies of the upper limb as a model system of focal nerve injury.

Materials and methods: Radiomics was retrospectively done on peripheral nerve fascicles on T1-weighted 1.5T MRI of 40 patients with diagnosis of mild carpal (n = 25) and cubital tunnel (n = 15) syndrome and of 200 controls. Z-score normalization and Mann-Whitney U test were used to compare features of normal and pathological peripheral nerves. Receiver operating characteristic analysis was performed.

Results: A total of n = 104 radiomics features were computed for each patient and control. Significant differences between normal and pathological median and ulnar nerves were found in n = 23/104 features (p < 0.001). According to features classification, n = 5/23 features were shape-based, n = 7/23 were first-order features, n = 11/23 features were classified as gray level run length matrix. Nine of the selected features showed an AUC higher that 0.7: minimum AUC of 0.74 (95% CI 0.61-0.89) for sum variance and maximum AUC of 0.90 (95% CI 0.82-0.99) for zone entropy.

Conclusion: Features analysis demonstrated statistically significant differences between normal and pathological nerve. The results suggested that radiomics analysis could assess the median and ulnar nerve inner structure changes due to the loss of the fascicular pattern, intraneural edema, fibrosis or fascicular alterations in mild carpal tunnel and mild cubital tunnel syndromes even when the nerve cross-sectional area does not change.

Keywords: Magnetic resonance imaging; Peripheral nerves; Radiomics; Texture analysis.

MeSH terms

  • Adult
  • Aged
  • Carpal Tunnel Syndrome / diagnostic imaging*
  • Cubital Tunnel Syndrome / diagnostic imaging*
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Peripheral Nervous System Diseases / diagnostic imaging*
  • Retrospective Studies

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