Magnetic Resonance Imaging Evaluation of Lumbar Degenerative Disc Disease with Clinical Correlation
Journal Title: INTERNATIONAL JOURNAL OF SCIENTIFIC STUDY - Year 2018, Vol 6, Issue 8
Abstract
Introduction: Degenerative disc disease includes a wide spectrum of degenerative abnormalities. Low back pain secondary to degenerative disc disease is a condition that can affect young to middle-aged persons. In degenerative diseases intervertebral disc with adjacent spine structure are compromised. Magnetic resonance imaging (MRI) allows complete evaluation of static and dynamic factors related to degenerative disease of the spine. Aims and Objectives: The aim of the study was to describe various MRI features of degenerative disc disease of lumbar spine (LS). Correlation of disc changes with clinical findings. Materials and Methods: Design of study: This will be non-randomized observational cross-sectional study. Study period March 2017–August 2018. Source of data: NSCB Medical College Jabalpur. Method of Collection of Data: Patients presenting to clinical departments with low back ache with or without radiating pain to one or both thigh and who undergo MRI will be taken. MRI LS will be done on GE health-care Sigma 1.5 T MRI scanner. Observation and Results: The study included 165 patients, the age range was from 18 to 80 years (mean; 50 ± 12.5 years) whereby 87 (53%) of them were females. Disc degeneration being the most frequent finding seen in 137 (83%) patients, followed by nerve root compression 127 (77%), disc herniation 104 (63%), disc bulge 64 (39%), and central canal stenosis 50 (30%). Conclusion: Disc desiccation was the most frequent finding followed by nerve root compression. The least finding was Modic changes, whereby Type 2 was more common than Type 1. Disc protrusion was the most common type of herniation and was commonly located posterolaterally. Prevalence of degenerative findings was increasing with age (P < 0.05), being more common among males than females, though the difference was not statistically significant (P > 0.05).
Authors and Affiliations
Avadhesh P. S. Kushwah, Ram Avtar Bharti, Sonjjay Pande, Manisha Lokwani, Suresh Kumar
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