TY - GEN
T1 - Automated Quantification of Deformities in Congenital Radio-Ulnar SynostosisAutomated Method for quantifying CRUS
AU - Cui, Ying
AU - Zhou, Tianfeng
AU - Liu, Lu
AU - Chen, Shanlin
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/10/20
Y1 - 2023/10/20
N2 - 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.
AB - 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.
KW - Congenital Radio-Ulnar Synostosis
KW - automated diagnosis
KW - forearm deformity
UR - http://www.scopus.com/inward/record.url?scp=85190982814&partnerID=8YFLogxK
U2 - 10.1145/3644116.3644200
DO - 10.1145/3644116.3644200
M3 - Conference contribution
AN - SCOPUS:85190982814
T3 - ACM International Conference Proceeding Series
SP - 509
EP - 516
BT - Proceedings of 2023 4th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2023
PB - Association for Computing Machinery
T2 - 4th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2023
Y2 - 20 October 2023 through 23 October 2023
ER -