Department of Oral and Craniomaxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
College of Stomatology, Shanghai Jiao Tong University, Shanghai 200011, China.
Dentomaxillofac Radiol. 2024 Sep 1;53(6):382-389. doi: 10.1093/dmfr/twae020.
This study aims to develop a facial vascular enhancement imaging system and analyze vascular distribution in the facial region to assess its potential in preventing unintended intravascular injections during cosmetic facial filling procedures.
A facial vascular enhancement imaging system based on optical detection technology was designed, and volunteers were recruited. The system was utilized to detect and analyze vascular distribution in various anatomical regions of the faces. The vascular visualization-enhanced (VVE) images generated by the system were compared with visible light images to validate the vascular visualization capability of the system. Additionally, the reliability of vascular visualization was assessed by comparing the observed vascular patterns in the VVE images with those in near-infrared light images.
Thirty volunteers were recruited. The VVE images produced by the system demonstrated a significant capacity to identify vascular morphology and yielded a higher vessel count compared to visible light images, particularly in the frontal, orbital, perioral, mental, temporal, cheek, and parotid masseter regions (P < .05). The temporal region exhibited the highest vascular density, followed by the cheek region and then the frontal region. Reliability analysis of vascular visualization enhancement indicated that the system's imaging of facial vasculature not only demonstrated reliability but also enhanced physicians' visual perception.
Blood vessel distribution varies across facial regions. The facial vascular enhancement imaging system facilitates real-time and clear visualization of facial vasculature, offering immediate visual feedback to surgeons. This innovation holds promise for enhancing the safety and effectiveness of facial filling procedures.
本研究旨在开发一种面部血管增强成像系统，并分析面部区域的血管分布，以评估其在预防美容面部填充过程中意外血管内注射的潜在用途。
设计了一种基于光学检测技术的面部血管增强成像系统，并招募了志愿者。该系统用于检测和分析面部各个解剖区域的血管分布。将系统生成的血管可视化增强（VVE）图像与可见光图像进行比较，以验证系统的血管可视化能力。此外，通过比较 VVE 图像中观察到的血管模式与近红外光图像中的血管模式，评估血管可视化的可靠性。
共招募了 30 名志愿者。系统生成的 VVE 图像显示出识别血管形态的显著能力，与可见光图像相比，血管计数更高，尤其是在前额、眶周、口周、颏下、颞部、颊部和腮腺咬肌区域（P <.05）。颞部的血管密度最高，其次是颊部，然后是额部。血管可视化增强的可靠性分析表明，该系统对面部血管的成像不仅具有可靠性，还增强了医生的视觉感知。
面部区域的血管分布存在差异。面部血管增强成像系统有助于实时清晰地可视化面部血管，为外科医生提供即时的视觉反馈。这项创新有望提高面部填充手术的安全性和有效性。
