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口腔颌面部骨折中电影渲染的临床应用。

Clinical application of cinematic rendering in maxillofacial fractures.

机构信息

School of Public Health, Guizhou Medical University, Guiyang, China; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.

Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, China.

出版信息

Int J Oral Maxillofac Surg. 2022 Dec;51(12):1562-1569. doi: 10.1016/j.ijom.2022.05.003. Epub 2022 Jun 6.

Abstract

The purpose of this study was to evaluate the clinical application of cinematically rendered reconstructions of maxillofacial fractures. Ten surgeons and eight radiologists were shown three-dimensional images of 25 different patient cases, generated using both the volume rendering (VR) technique and the cinematic rendering (CR) technique. They were asked to mark the site of the fracture on the three-dimensional images and record the time this activity took. The effectiveness of the reconstructions to communicate with patients was assessed through the opinions of the surgeons and radiologists, as well as 25 patients. Subjective evaluations of the clinical value of the images were performed by the 18 surgeons and radiologists using a 10-item questionnaire. The percentages of correctly identified fractures of the nasal bone (P = 0.034), fracture dislocation (P < 0.001), and free bone fragments (P < 0.001) were significantly higher for CR images when compared to VR images, and identification took an average of 20.81 seconds for CR and 27.48 seconds for VR (P < 0.001). CR images were found to be more beneficial for communication with patients and scored higher for the display of fracture dislocation and free bone fragments than VR images (P < 0.05). CR images were found to have high clinical value in the visualization of maxillofacial fractures.

摘要

本研究旨在评估电影式重建技术在颌面骨折临床应用中的价值。10 名外科医生和 8 名放射科医生分别观察了使用容积再现(VR)和电影式再现(CR)技术生成的 25 例不同患者的三维图像。他们被要求在三维图像上标记骨折部位,并记录完成此操作所需的时间。通过外科医生和放射科医生的意见以及 25 名患者的反馈,评估了重建图像与患者沟通的效果。18 名外科医生和放射科医生使用 10 项问卷调查评估了图像的临床价值。与 VR 图像相比,CR 图像对鼻骨(P=0.034)、骨折脱位(P<0.001)和游离骨碎片(P<0.001)的识别率明显更高,且平均识别时间分别为 CR 图像 20.81 秒和 VR 图像 27.48 秒(P<0.001)。CR 图像更有利于与患者沟通,在显示骨折脱位和游离骨碎片方面的评分也高于 VR 图像(P<0.05)。CR 图像在颌面骨折的可视化方面具有较高的临床价值。

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