Abstract

Standing posteroanterior radiographs have been the golden standard to quantify the severity of scoliosis deformity. However, it exposes ionizing radiation to scoliosis patients, and cannot be used for routine screening and monitoring. This study aimed to develop a protocol of measuring postural indexes by using the noninvasive and radiation-free two-dimensional (2D) photogrammetry method and identify its clinical value in scoliosis screening and monitoring. The five postural indexes were measured from the posterior view of 110 participants. One-way ANOVA with post hoc Tukey HSD/Games–Howell analysis was used to compare the differences between the participants in the scoliosis group and the non-scoliosis group. Pearson coefficients of correlation were analyzed to identify the relationships between Cobb angles and each of the five quantitative postural indexes. Based on 2D photogrammetry, the postural indexes of C7 deviation (p = 0.02), shoulder alignment (p < 0.001), scapula alignment (p < 0.001), waist angle discrepancy (p < 0.001), and PSIS alignment (p < 0.001) could significantly differentiate scoliosis and non-scoliosis patients during screening. The waist angle discrepancy (r = 0.4, p = 0.01; r = 0.8, p = 0.03; r = 0.7, p = 0.01) and shoulder alignment (r = 0.6, p = 0.03) had moderate to strong positive correlations with the Cobb angles, which supported their clinical values in monitoring scoliotic curvature changes of adolescent idiopathic scoliosis (AIS) patients.

Details

Title
A feasibility study of applying two-dimensional photogrammetry for screening and monitoring of patients with adolescent idiopathic scoliosis in clinical practice
Author
Zheng, Qian 1 ; Xie, Lingfeng 1 ; Xu, Jiang 1 ; Xia, Nan 1 ; Ma, Christina Zong-Hao 2 

 Huazhong University of Science and Technology, Department of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Wuhan, China (GRID:grid.33199.31) (ISNI:0000 0004 0368 7223) 
 The Hong Kong Polytechnic University, Department of Biomedical Engineering, Hung Hom, China (GRID:grid.16890.36) (ISNI:0000 0004 1764 6123); The Hong Kong Polytechnic University, Research Institute for Smart Aging, Hung Hom, China (GRID:grid.16890.36) (ISNI:0000 0004 1764 6123) 
Pages
14273
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2859399936
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.