A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study
This study aims to develop a nomogram that combines radiomic signatures and clinical features to assess the risk of intraoperative vertebral artery injury in patients with primary cervical spine tumors.
Developed a nomogram based on multisequence MRI data and clinical features.
Included radiomic analysis to extract significant patterns associated with vertebral artery injury.
Evaluated the nomogram’s predictive accuracy for intraoperative injuries.
The nomogram demonstrates a significant ability to predict the risk of intraoperative vertebral artery injury.
Increased accuracy in forecasting injuries compared to traditional clinical assessments.
Abstract
The present study presents a nomogram that incorporates radiomic signatures and clinical features, which could be used to predict the risk of intraoperative VA injury in patients with primary cervical tumors.
A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study | Synapse