A Preliminary Study on MRI Water Imaging-based Radiomics Nomogram to Identify Symptomatic Nerves in Primary Trigeminal Neuralgia Patients

Motivation: Addressing the diagnostic challenges of Primary trigeminal neuralgia (PTN) and exploring the potential of radiomics combined with clinical features for better accuracy. Goal(s): To establish an auxiliary diagnostic model for PTN using radiomic and clinical features. Approach: Retrospectively analyzed 116 patients with trigeminal neuralgia, extracting 1316 radiomics features using 3D slicer and studying 13 clinical features. Lasso regression, ICC analysis, univariate and multivariate logistic regression were used for analysis. Results: Combining radiomic and clinical characteristics improved the model's AUC values to 0.85. Atrophy of the trigeminal roots might be significant in PTN diagnosis. Impact: This study enhances PTN diagnosis, guiding clinicians with improved accuracy, potentially benefiting patients. It paves the way for further research on trigeminal root atrophy's role, optimizing treatment strategies and patient care.