Longus Colli Tendinitis: Analysis of MRI and Clinical Features With Predictive Pain Risk Model Development.

ABSTRACT: Objectives: Longus colli tendinitis (LCT) is a rare, self-limiting disease primarily characterized by neck pain. This study is to investigate and analyze the imaging and clinical features of LCT and to develop a predictive model for pain risk in LCT based on these features. Methods: This study included 35 patients with LCT enrolled between January 2017 and December 2024. Radiological features, laboratory indicators, and clinical profiles were systematically analyzed. We stratified LCT patients into high-risk (n = 20) and low-risk (n = 15) groups based on pain intensity and duration. Nomograms were developed using logistic regression models, with feature selection performed via the least absolute shrinkage and selection operator method. Model performance was eval

SUBMITTER: Qiao Y 

PROVIDER: S-EPMC12446589 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature