Surgimap software measuring Cobb angle of adolescent idiopathic scoliosis: A feasibility study / 第二军医大学学报
Academic Journal of Second Military Medical University
; (12): 372-376, 2019.
Article
en Zh
| WPRIM
| ID: wpr-837891
Biblioteca responsable:
WPRO
ABSTRACT
Objective To explore the feasibility and repeatability of Surgimap software in measurement of Cobb angle of adolescent idiopathic scoliosis (AIS). Methods Four surgeons (1 associate chief physician and 3 residents) measured the coronal main curve Cobb angle and sagittal parameters (thoracic kyphosis [TK], thoracolumbar kyphosis [TLK] and lumbar lordosis [LL]) of 67 AIS patients using Surgimap software and traditional measurement method on standard standing position X-ray images before operation. The measurement time of the two methods was recorded and compared. The reliability analysis was performed for the measurement results of 4 surgeons, and the repeatability analysis was performed for 2 measurement results of 3 residents. Results The coronal main curve Cobb angles measured by Surgimap software and traditional measurement method were 49.4°±8.2° and 41.4°±15.6°, respectively, and the absolute average difference between the two methods was 8.29°±4.36°. The measurement time of Surgimap software and traditional measurement method was (5.2±0.7) min and (8.8±1.5) min, respectively, with the absolute average difference being (3.6±0.9) min, and the difference was significant (t= 2.57, P<0.01). The reliability analysis showed that the coronal main curve Cobb angle, TK, TLK and LL measured by 4 surgeons using Surgimap software had excellent or good consistency (intraclass correlation coefficient [ICC]= 0.972, 0.924, 0.875, 0.962). Repeatability analysis showed that the coronal main curve Cobb angle, TK, TLK and LL measured by 3 residents had excellent or good consistency using Surgimap software (ICC ranged from 0.875 to 0.984). Conclusion Surgimap software is superior to the traditional method in measuring Cobb angle, and has the advantages of high efficiency, short learning curve and unified data derivation.
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WPRIM
Idioma:
Zh
Revista:
Academic Journal of Second Military Medical University
Año:
2019
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Article