Hu Xinben, Liu Tianjian, Zhang Zhengyuan, Xiao Xuan, Chen Lin, Wei Gao, Wang Yunjiang, Yang Keji, Jin Haoran, Zhu Yongjian
Department of Radiation Oncology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Key Laboratory of Precise Treatment and Clinical Translational Research of Neurological Diseases, Hangzhou, China.
Sci Rep. 2025 Feb 10;15(1):4922. doi: 10.1038/s41598-025-89440-z.
Current navigation systems employing intraoperative CT have been applied in spinal interventions for accurate and visualized guidance. The consequential issue of radiation doses and surgical workflow disruption spotlighted ultrasound (US) as an alternative imaging modality. However, the challenge of anatomy interpretation left US-based navigation inadequate in visualization, resulting in the necessity of registration of preoperative images. Here we report a standalone ultrasound image-guided system (SUIGS) leveraging a purpose-made network to automatically extract bone features and reconstruct them into highly visualized volumetric images for spinal navigation. We showed the SUIGS highly visualized the bone markers with an imaging accuracy of 1.19 ± 0.85 mm in scanning tests on human volunteers. Through extensive testing on data from hospitalized patients containing atypical cases (spinal deformity, obesity), we confirmed that SUIGS generalizes across different individuals with a 100% success rate in aligning with preoperative CT. Furthermore, SUIGS yielded comparable results to three-dimensional fluoroscopy guidance in intraoperative intraspinal tumor localization and reduced the procedure to 8 min. This study explored and broadened the clinical application of standalone US navigation by providing intraoperative high-visualized volumetric spinal imaging, which is expected to increase the likelihood of surgeons adopting it in practice to reduce the occurrence of wrong-site surgery.
目前采用术中CT的导航系统已应用于脊柱介入手术中,以提供准确且可视化的引导。辐射剂量和手术流程中断等相关问题使超声(US)成为一种替代成像方式。然而,解剖结构解读方面的挑战使得基于超声的导航在可视化方面存在不足,因此需要术前图像配准。在此,我们报告一种独立的超声图像引导系统(SUIGS),该系统利用专门构建的网络自动提取骨骼特征,并将其重建为高度可视化的体积图像用于脊柱导航。我们在对人类志愿者的扫描测试中表明,SUIGS能高度清晰地显示骨骼标记物,成像精度为1.19±0.85毫米。通过对包含非典型病例(脊柱畸形、肥胖)的住院患者数据进行广泛测试,我们证实SUIGS在不同个体中具有通用性,与术前CT对齐的成功率为100%。此外,在术中脊髓肿瘤定位方面,SUIGS与三维荧光透视引导取得了相当的结果,并将手术时间缩短至8分钟。本研究通过提供术中高度可视化的脊柱体积成像,探索并拓宽了独立超声导航的临床应用,有望增加外科医生在实践中采用它的可能性,以减少手术部位错误的发生。