Researchers use novel imaging to predict spinal degeneration

Researchers use novel imaging to predict spinal degeneration

Research by a Barrow Neurological Institute neurosurgery team on novel imaging technique assessment of patients with lumbar spine degeneration was conducted as part of an American-Russian neurosurgery collaboration led by Mark Preul and Vadim Byvaltsev.

Spinal disc degeneration is the world’s most common medical diseases, and responsible for untold economic and social impact. Over the past months, 100 of Byvaltsev’s patients were imaged in Irkutsk, and Barrow’s Department of Neurosurgery Research was involved in data management and analysis.

A main cause for spinal disc degeneration is thought to be a change in the water content in the intervertebral disk. The team used a novel magnetic resonance imaging technique, called apparent diffusion coefficient (ADC) maps, which directly assessed the movements and dynamics of the water in the intervertebral disk and other spinal structures. The ADC maps provided precise assessments and correlations with degeneration.

“We’re improving our understanding of one of the most common maladies to affect humans which is spinal disc degeneration. Imaging technology such as MRI ADC mapping will provide much greater and improved information to the physician treating patients with degenerated disc and other degenerative spine conditions,” says
Preul.

In further research, Evgenii Belykh, the leading research fellow on the project stated, “The imaging findings are being compared with the histology and biomarkers of disk degeneration that will eventually help to recognise and predict the disease earlier, and help to choose the best treatment option for each patient.” The research initiative will image larger numbers of patients to confirm and investigate further applications for ADC mapping in the spine.

Source: Science Daily

Reference: Evgenii Belykh, and others. Apparent diffusion coefficient maps in the assessment of surgical patients with lumbar spine degeneration. PLOS ONE, 2017; 12 (8): e0183697 DOI: 10.1371/journal.pone.0183697

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