Advances in the diagnosis and treatment of congenital scoliosis

先天性脊柱侧弯的诊断和治疗进展

阅读:1

Abstract

Congenital scoliosis (CS), a severe form of early-onset scoliosis (EOS), arises from vertebral malformations during embryogenesis, driven by complex genetic and environmental interactions. This review synthesizes recent advances in understanding CS etiology, diagnosis, and treatment. Genetically, CS is linked to mutations in TBX6, GDF3, DSTYK, and COL11A2, alongside copy number variations (CNVs) and epigenetic modifications such as allele-specific methylation in SVIL and TNS3. Maternal hypoxia, toxin exposure, and nutritional deficiencies further contribute to pathogenesis. Diagnosis incorporates advanced imaging techniques-such as X-rays, magnetic resonance imaging (MRI), and computed tomography (CT)-as well as genetic testing, with whole-exome sequencing identifying mutations in 18.6% of cases. Conservative management, including casting and bracing (e.g., alternating cast and brace treatment [ARCBT] and 3D-printed orthoses), effectively delays progression in mild-to-moderate cases. Surgical interventions-such as hemivertebra resection, hybrid techniques (HT), and growth-modulating technologies including magnetic controlled growth rods (MCGR) and the Shilla method-have demonstrated improved outcomes in patients with severe deformities. HT combines posterior osteotomy with dual growing rods, achieving significant Cobb angle correction (81.4° to 40.1°) and spinal growth (1.23 cm/year) with fewer complications. MCGR reduces repeated surgeries but shows variable impacts on quality of life. Emerging approaches, including apical control techniques and robotics, highlight the shift toward personalized care. This review underscores the need for multidisciplinary strategies to optimize outcomes, emphasizing early diagnosis, tailored treatments, and long-term monitoring to address CS complexity.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。