Semi-automatic ultrasound curve angle measurement for adolescent idiopathic scoliosis.

Yang, De; Lee, Timothy Tin-Yan; Lai, Kelly Ka-Lee; Lam, Tsz-Ping; Chu, Winnie Chiu-Wing; Castelein, René Marten; Cheng, Jack Chun-Yiu; Zheng, Yong-Ping · Spine Deform · 2022

cross_sectional · Level IV

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Abstract

Using X-ray to evaluate adolescent idiopathic scoliosis (AIS) conditions is the clinical gold standard, with potential radiation hazards. 3D ultrasound has demonstrated its validity and reliability of estimating X-ray Cobb angle (XCA) using spinous process angle (SPA), which can be automatically measured. While angle measurement with ultrasound using spine transverse process-related landmarks (UCA) shows better agreed with XCA, its automatic measurement is challenging and not available yet. This research aimed to analyze and measure scoliotic angles through a novel semi-automatic UCA method. 100 AIS subjects (age: 15.0 ± 1.9 years, gender: 19 M and 81 F, Cobb: 25.5 ± 9.6°) underwent both 3D ultrasound and X-ray scanning on the same day. Scoliotic angles with XCA and UCA methods were measured manually; and transverse process-related features were identified/drawn for the semi-automatic UCA method. The semi-automatic method measured the spinal curvature with pairs of thoracic transverse processes and lumbar lumps in respective regions. The new semi-automatic UCA method showed excellent correlations with manual XCA (R<sup>2</sup> = 0.815: thoracic angles R<sup>2</sup> = 0.857, lumbar angles R<sup>2</sup> = 0.787); and excellent correlations with manual UCA (R<sup>2</sup> = 0.866: thoracic angles R<sup>2</sup> = 0.921, lumbar angles R<sup>2</sup> = 0.780). The Bland-Altman plot also showed a good agreement against manual UCA/XCA. The MADs of semi-automatic UCA against XCA were less than 5°, which is clinically insignificant. The semi-automatic UCA method had demonstrated the possibilities of estimating manual XCA and UCA. Further advancement in image processing to detect the vertebral landmarks in ultrasound images could help building a fully automated measurement method. Level III.

Medical subject headings

Anatomy