Chen Song, Wang Xiong, Zheng Zhenxin, Fu Zhiqiang
Department of Orthopedics, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Department of Orthopedics, Shanghai Baoshan Luodian Hospital, Shanghai, China.
Front Bioeng Biotechnol. 2024 Jan 8;11:1335759. doi: 10.3389/fbioe.2023.1335759. eCollection 2023.
Correctly classifying distal femur fractures is essential for surgical treatment planning and patient prognosis. This study assesses the potential of Cinematic Rendering (CR) in classifying these fractures, emphasizing its reported ability to produce more realistic images than Volume Rendering (VR). Data from 88 consecutive patients with distal femoral fractures collected between July 2013 and July 2020 were included. Two orthopedic surgeons independently evaluated the fractures using CR and VR. The inter-rater and intra-rater agreement was evaluated by using the Cicchetti-Allison weighted Kappa method. Accuracy, precision, recall, and F1 score were also calculated. Diagnostic confidence scores (DCSs) for both imaging methods were compared using chi-square or Fisher's exact tests. CR reconstruction yielded excellent inter-observer (Kappa = 0.989) and intra-observer (Kappa = 0.992) agreement, outperforming VR (Kappa = 0.941 and 0.905, respectively). While metrics like accuracy, precision, recall, and F1 scores were higher for CR, the difference was not statistically significant ( > 0.05). However, DCAs significantly favored CR ( < 0.05). CR offers a superior visualization of distal femur fractures than VR. It enhances fracture classification accuracy and bolsters diagnostic confidence. The high inter- and intra-observer agreement underscores its reliability, suggesting its potential clinical importance.
正确分类股骨远端骨折对于手术治疗规划和患者预后至关重要。本研究评估了电影渲染(CR)在这些骨折分类中的潜力,强调了其据报道比容积渲染(VR)能产生更逼真图像的能力。纳入了2013年7月至2020年7月期间连续收集的88例股骨远端骨折患者的数据。两名骨科医生分别使用CR和VR对骨折进行评估。采用Cicchetti-Allison加权Kappa方法评估评分者间和评分者内的一致性。还计算了准确率、精确率、召回率和F1分数。使用卡方检验或Fisher精确检验比较两种成像方法的诊断置信度评分(DCS)。CR重建在观察者间(Kappa = 0.989)和观察者内(Kappa = 0.992)一致性方面表现出色,优于VR(分别为Kappa = 0.941和0.905)。虽然CR的准确率、精确率、召回率和F1分数等指标更高,但差异无统计学意义(> 0.05)。然而,DCA显著支持CR(< 0.05)。与VR相比,CR能更好地显示股骨远端骨折。它提高了骨折分类的准确性并增强了诊断置信度。观察者间和观察者内的高度一致性强调了其可靠性,表明其潜在的临床重要性。