The Development of Diagnosis and Prognosis Predictive Model for Peripheral Nerve Disease

The Development of Diagnosis and Prognosis Predictive Model for Peripheral Nerve Disease Using Big Data From Magnetic Resonance Neurography: A Multicenter Cohort Study（MRN-PND）

This is a retrospective observational cohort study (MRN-PND), aiming to explore the utility of contrast-enhanced MRN (ceMRN) compared to plain MRN in diagnosing peripheral nerve diseases and predicting the prognosis of patients with these conditions. Additionally, artificial intelligence (AI) methods are employed to enhance the diagnostic accuracy of MRN for peripheral nerve diseases and to precisely predict disease outcomes.

Inclusion Criteria:

1. Patients who underwent MRN scanning at Wuhan Union Hospital between January 2015 and January 2025;
2. Age > 18 years;
3. Definitive clinical diagnosis (either healthy individuals or patients with a specific condition).

Exclusion criteria：

1. Poor quality of imaging;
2. Incomplete clinical data or loss to follow-up;
3. Unclear clinical diagnosis.