Abstract #3126

Identification of significant quantitative MRI features for lumbar intervertebral disc degeneration through comprehensive image analysis

Mui Saito¹, Maho Kitagawa¹, Daiki Sakamoto², Katsuhisa Yamada³, Hideki Sudo³, and Khin Khin Tha^1,4

¹Laboratory for Biomarker Imaging Science, Hokkaido University Graduate School of Biomedical Science and Engineering, Sapporo, Japan, ²J-MAC SYSTEM, INC., Sapporo, Japan, ³Department of Orthopedic Surgery, Hokkaido University Faculty of Medicine, Sapporo, Japan, ⁴Global Center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine, Sapporo, Japan

Synopsis

Keywords: Other Musculoskeletal, Quantitative Imaging, Intervertebral disc, Intervertebral disc degeneration, ADC, T1ρ, T2*

Motivation: Visual analysis has been the mainstay in evaluating intervertebral disc (IVD) degeneration. A comprehensive radiomic analysis of quantitative MRI features may improve distinguishing IVDs by severity of degeneration.

Goal(s):
To identify significant quantitative MRI features for lumbar IVD degeneration through comprehensive image analysis
Identifying effective MRI quantitative imaging features for evaluating intervertebral disc degeneration

Approach: Histogram and texture features of ADC, T2*, and T1ρ were extracted, and features distinguishing severe IVD degeneration were identified by decision trees.

Results: Four texture and one histogram features were identified, as significant in distinguishing the severity of IVD degeneration.

Impact: This study highlights that incorporating texture features of quantitative MRI indices (ADC, T2*, and T1ρ) can improve determination of the severity of IVD degeneration.

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