Automated Quantification of Deformities in Congenital Radio-Ulnar SynostosisAutomated Method for Quantifying CRUS
ISAIMS '23 Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science(2024)
Abstract
Congenital Radio-Ulnar Synostosis (CRUS) is complex and difficult to quantify. To assist the diagnosis of the CRUS, an automated quantification method of CRUS was studied. Twenty children with CRUS were included in the study. Half of these children suffered from unilateral deformities, while others suffered from bilateral deformities. The local coordinate systems were established based on the recognized forearm landmarks and bone shaft axes, and then the deformity angles were quantified automatically. The reliability was varified by comparing with “Global Truth” labeled by professional surgeons. T-test was conducted to analyse the influence of CRUS on the deformity angles and radio-ulnar length ratio. Spearman correlation analysis was performed to explore the relationship between the level of forearm fusion and the patient age. There is no statistically significant differences between the quantitative results obtained by automated methods and “Global Truth” according to the results of T-test analysis. By quantitative analysis on forearm with or without CRUS, more attention should be paid to the radial and dorsal and the internal rotation angle of the radius (RAR, DAR, and IRAR, respectively), as well as the internal rotation angle of ulna (IRAU). Appropriate plan for wedge osteotomy should be prespecified due to the short ulna, which is common in CRUS. The automated quantification method can assist clinical diagnosis and the quantification of CRUS, which is expected to guide the osteotomy preoperative planing.
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