Clinical and radiomics feature-based outcome analysis in lumbar disc herniation surgery.

ABSTRACT:

Background

Low back pain is a widely prevalent symptom and the foremost cause of disability on a global scale. Although various degenerative imaging findings observed on magnetic resonance imaging (MRI) have been linked to low back pain and disc herniation, none of them can be considered pathognomonic for this condition, given the high prevalence of abnormal findings in asymptomatic individuals. Nevertheless, there is a lack of knowledge regarding whether radiomics features in MRI images combined with clinical features can be useful for prediction modeling of treatment success. The objective of this study was to explore the potential of radiomics feature analysis combined with clinical features and artificial intelligence-based techniques (machine learning/deep learning) in identif

SUBMITTER: Saravi B 

PROVIDER: S-EPMC10557221 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature