Department of Plastic Surgery, UPMC Children's Hospital, Pittsburgh, PA, United States.
School of Computing, University of Utah, Salt Lake City, UT, United States.
Cleft Palate Craniofac J. 2023 Aug;60(8):971-979. doi: 10.1177/10556656221087071. Epub 2022 Mar 21.
This study aims to determine the utility of 3D photography for evaluating the severity of metopic craniosynostosis (MCS) using a validated, supervised machine learning (ML) algorithm. This single-center retrospective cohort study included patients who were evaluated at our tertiary care center for MCS from 2016 to 2020 and underwent both head CT and 3D photography within a 2-month period. The analysis method builds on our previously established ML algorithm for evaluating MCS severity using skull shape from CT scans. In this study, we regress the model to analyze 3D photographs and correlate the severity scores from both imaging modalities. 14 patients met inclusion criteria, 64.3% male (n = 9). The mean age in years at 3D photography and CT imaging was 0.97 and 0.94, respectively. Ten patient images were obtained preoperatively, and 4 patients did not require surgery. The severity prediction of the ML algorithm correlates closely when comparing the 3D photographs to CT bone data (Spearman correlation coefficient [SCC] r = 0.75; Pearson correlation coefficient [PCC] r = 0.82). The results of this study show that 3D photography is a valid alternative to CT for evaluation of head shape in MCS. Its use will provide an objective, quantifiable means of assessing outcomes in a rigorous manner while decreasing radiation exposure in this patient population.
本研究旨在利用经过验证的、有监督的机器学习（ML）算法，确定 3D 摄影在评估额眶颅缝早闭（MCS）严重程度方面的效用。这项单中心回顾性队列研究纳入了 2016 年至 2020 年期间在我们的三级护理中心接受 MCS 评估且在 2 个月内同时接受头部 CT 和 3D 摄影检查的患者。该分析方法基于我们之前建立的使用 CT 扫描颅骨形状评估 MCS 严重程度的 ML 算法。在本研究中，我们回归模型以分析 3D 照片，并对两种成像方式的严重程度评分进行相关性分析。14 名患者符合纳入标准，其中 64.3%为男性（n=9）。3D 摄影和 CT 成像时的平均年龄分别为 0.97 岁和 0.94 岁。10 名患者的图像为术前获得，4 名患者无需手术。将 ML 算法的严重程度预测与 CT 骨数据进行比较时，相关性非常密切（Spearman 相关系数[SCC]r=0.75；Pearson 相关系数[r=0.82]）。本研究结果表明，3D 摄影是评估 MCS 头型的 CT 替代方法，其具有有效性。在该患者群体中，它将为评估结果提供一种客观、可量化的手段，同时减少辐射暴露。
