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

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology10,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

10,000

Conditions

Peripheral Nerve Disease

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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.

Locations (1)

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

Wuhan, Hubei, China

Outcomes

Primary Outcomes

Correlation analysis of MR information and diagnosis outcome

The indicator is the area under the curve of the predict diagnosis outcome.

Time frame: 0.5 year

Data from ClinicalTrials.gov

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