Abstract #5045

Use An Automated Pipeline to Quantify Erector Spinae Muscle Asymmetry and Correlate It with Quality of Life in Adult Degenerative Scoliosis

Qi Zhang¹, Chenglong Wang¹, Chengxiu Zhang¹, Haijie Wang², Yang Song³, Jun Zhao⁴, and Guang Yang¹

¹Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, ShangHai, China, ²Institute of Research and Clinical Innovations, Neusoft Medical Systems Co., Ltd., Beijing, China, ³MR Research Collaboration Team, Siemens Healthineers Ltd., ShangHai, China, ⁴Department of Radiology, The First Affiliated Hospital, Army Medical University, Chongqing, China

Synopsis

Keywords: Muscle, Data Analysis

Motivation: To explore the influence of erector spinae muscle asymmetry to adult degenerative scoliosis (ADS) on patients' quality of life.

Goal(s): To develop a pipeline for automated quantification of the normalized FCSA difference index (CDI) and left-right fat Infiltration asymmetry ratio (LFIAR) from MRI images for assessment of ADS.

Approach: We used nnU-Net for precise anatomical segmentation on T2 images. Then, CDI and LFIAR were calculated and correlated to ADS scales.

Results: The automated model adeptly delineated paravertebral muscle groups, which were used to calculate CDI and LFIAR. Noteworthy correlations between CDI, LFIAR, and ADS scales were found among male subjects.

Impact: This research streamlines clinical workflows, imparts valuable insights into the severity of ADS, and equips clinicians with crucial data for informed clinical decision-making.

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