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Abstract #3128

Deep learning-based reconstruction and conventional T2 map in quantitative detection of lumbar intervertebral disk degeneration

Feifei Zeng1, Yunfei Zha1, Weiyin Vivian Liu2, and Yan Vivian Fan2
1Renmin Hospital of Wuhan University, Wuhan, China, 2MR Research, GE Healthcare, Beijin, China

Synopsis

Keywords: Other Musculoskeletal, Cartilage

Motivation: It is essential to identify early biochemical markers that are conducive to the precaution of
degenerative disk disease at its early phase.

Goal(s): To compare the diagnostic value of DLR-T2 map and traditional T2 map quantitative techniques for early lumbar disc degeneration.

Approach: Overall image quality (SNR and CNR) was performed. ROC analysis for evaluating the diagnostic efficacy of T2 values for early disc degeneration.

Results: The DLR-T2 map had higher overall image quality scores. DLR-T2 map discriminated Pfirrmann grade I from grade II, and grade II from grade III had a higher diagnostic performance of diagnostic efficacy than T2 map.

Impact: DLR-T2 might provide superior information on the biomechanical properties of early IDD, which would be helpful in prognoses and in improving therapy strategies.

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Keywords