Study Design: Prospective cohort study.
Objective: Investigate load-induced effects in lumbar intervertebral discs (IVDs) and differences between low back pain (LBP) patients and controls.
Summary Of Background Data: T2-map values, obtained from quantitative MRI sequences, reflect IVD tissue composition and integrity.
Study Design: Retrospective analysis of prospectively collected data.
Objective: To investigate whether intervertebral disc (IVD) image features, extracted from magnetic resonance (MR) images, can depict the extension and width of annular fissures and associate them to pain.
Summary Of Background Data: Annular fissures are suggested to be associated with low back pain (LBP).
Study Design: Retrospective analysis of prospectively collected data.
Objective: The aim of this study was to investigate whether spinal loading, depicted with magnetic resonance imaging (MRI), induces regional intervertebral disc (IVD) differences associated with presence and width of annular fissure and induced pain at discography.
Summary Of Background Data: Annular fissures play a role in low back pain (LBP) but cannot be accurately characterized with conventional MRI.
Background: Magnetic resonance imaging (MRI) can provide objective continuous intervertebral disc (IVD) measures in low back pain (LBP) patients. However, there are limited studies comparing quantitative IVD measures of symptomatic and asymptomatic individuals.
Purpose: This study aimed to investigate possible differences in IVD tissue composition in patients with chronic LBP and controls using quantitative MRI and correlate IVD measures with the phenotype High-Intensity Zone (HIZ).
Purpose: Magnetic resonance imaging (MRI) is the best diagnostic imaging method for low back pain. However, the technique is currently not utilized in its full capacity, often failing to depict painful intervertebral discs (IVDs), potentially due to the rough degeneration classification system used clinically today. MR image histograms, which reflect the IVD heterogeneity, may offer sensitive imaging biomarkers for IVD degeneration classification.
View Article and Find Full Text PDF