Department of Surgical Sciences, University of Turin, Turin, Italy.
Physical Medicine and Rehabilitation Unit, Department of Neurosciences, ASST Carlo Poma, Mantova, Italy.
J Back Musculoskelet Rehabil. 2021;34(6):925-936. doi: 10.3233/BMR-210003.
Radiographic methods to assess skeletal maturity (SM) have a key role in adolescent idiopathic scoliosis (AIS) management, allowing to predict risk of spinal curve progression. Cervical vertebral maturation (CVM) has been recently introduced as an alternative tool to assess skeletal maturity; however, its clinical role is still debated.
This systematic review aimed to investigate the reliability of CVM in the SM assessment of growing subjects, comparing it to hand wrist maturation (HVM).
PubMed, Scopus, and Web of Science databases were systematically searched from inception until 31st December 2020 to identify observational studies presenting: growing subjects as participants; CVM methods as intervention; HVM methods as comparator; reliability for SM assessment as outcome. A 10-item quality tool has been used to assess study quality.
Out of 205 papers, 12 papers were included in the data synthesis. We classified 10 studies (83.3%) as medium-quality studies and 2 studies (16.7%) as high-quality studies. Eight studies reported a significant correlation between CVM Baccetti and different HWM methods.
Taken together, these findings suggested that CVM might be considered as reliable SM assessment method compared to HWM in growing subjects. However, further studies are warranted to confirm these findings.
放射影像学方法在评估骨骼成熟度（SM）方面具有关键作用，可用于预测脊柱曲线进展的风险，这在青少年特发性脊柱侧凸（AIS）的管理中尤其重要。颈椎成熟度（CVM）最近被引入作为评估骨骼成熟度的替代工具；然而，其临床作用仍存在争议。
本系统评价旨在研究 CVM 在评估生长中受试者骨骼成熟度方面的可靠性，并将其与手腕骨成熟度（HVM）进行比较。
从建库到 2020 年 12 月 31 日，系统地检索了 PubMed、Scopus 和 Web of Science 数据库，以确定以下研究：生长中的受试者作为参与者；CVM 方法作为干预措施；HVM 方法作为对照；SM 评估的可靠性作为结果。使用了一个 10 项的质量工具来评估研究质量。
在 205 篇论文中，有 12 篇论文被纳入数据综合分析。我们将 10 项研究（83.3%）归类为中等质量研究，2 项研究（16.7%）归类为高质量研究。八项研究报告了 CVM Baccetti 与不同 HWM 方法之间存在显著相关性。
综上所述，这些发现表明，与 HWM 相比，CVM 可能被认为是生长中受试者可靠的 SM 评估方法。然而，需要进一步的研究来证实这些发现。
