Three-dimensional depth sensor imaging to identify adolescent idiopathic scoliosis: a prospective multicenter cohort study

被引:32
作者
Kokabu, Terufumi [1 ,2 ]
Kawakami, Noriaki [3 ]
Uno, Koki [4 ]
Kotani, Toshiaki [5 ]
Suzuki, Teppei [4 ]
Abe, Yuichiro [2 ]
Maeda, Kenichiro [6 ]
Inage, Fujio [6 ]
Ito, Yoichi M. [7 ]
Iwasaki, Norimasa [1 ]
Sudo, Hideki [1 ,8 ]
机构
[1] Hokkaido Univ Hosp, Dept Orthopaed Surg, N14W5, Sapporo, Hokkaido 0608648, Japan
[2] Eniwa Hosp, Dept Orthopaed Surg, Koganechuo 2-1-1, Eniwa, Hokkaido 0611449, Japan
[3] Meijo Hosp, Dept Orthopaed Surg, Sannomal 1-3-1, Nagoya, Aichi 4600001, Japan
[4] Natl Hosp Org, Kobe Med Ctr, Dept Orthopaed Surg, Nishiochiai 3-1-1, Kobe, Hyogo 6540155, Japan
[5] Seirei Sakura Citizen Hosp, Dept Orthopaed Surg, Eharadai 2-36-2, Sakura, Chiba 2858765, Japan
[6] Hokkaido Univ Hosp, Clin Res & Med Innovat Ctr, N14W5, Sapporo, Hokkaido 0608648, Japan
[7] Hokkaido Univ, Fac Med & Grad Med, Dept Biostat, N15W7, Sapporo, Hokkaido 0608638, Japan
[8] Hokkaido Univ, Fac Med & Grad Med, Dept Adv Med Spine & Spinal Cord Disorders, N15W7, Sapporo, Hokkaido 0608638, Japan
关键词
TOPOGRAPHY;
D O I
10.1038/s41598-019-46246-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Adolescent idiopathic scoliosis is the most ordinary pediatric spinal disease that causes a three-dimensional deformity. Early detection of this potentially progressive deformity is considered crucial. The purpose of the present study was to report the potential for accurately diagnosis of adolescent idiopathic scoliosis using a newly developed, automated, noninvasive asymmetry-recognition system for the surface of the human back using a three-dimensional depth sensor. We included 170 subjects with suspected adolescent idiopathic scoliosis in this study. Outcomes measured included patient demographics, Cobbe angles from radiographic measurements, and asymmetry indexes. The coefficient of correlation between the asymmetry index and the Cobb angle was 0.85. For the prediction of scoliosis >10 degrees, the area under the curve was 0.98, sensitivity was 0.97, specificity was 0.93, positive predictive value was 0.99, negative predictive value was 0.72, accuracy was 0.97, positive likelihood ratio was 13.55, and negative likelihood ratio was 0.04. The posterior test probability for the positive screen >10 degrees was 98.9% if the asymmetry index was >1.268, three times in a row. This novel system automatically evaluated the back asymmetry. Therefore, this study demonstrates the outstanding discriminative ability of this newly developed system for deciding whether an examinee should undergo additional radiography to define scoliosis. This system can be used as an alternative to the forward bend test and scoliometer measurement in clinics. Future studies should seek to confirm these findings in a larger group and involve mass school scoliosis screening programs within the context of a multicenter trial.
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页数:8
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