Department of Neurosurgery.
Department of Radiology and Nuclear Medicine.
J Craniofac Surg. 2021 May 1;32(3):956-963. doi: 10.1097/SCS.0000000000007379.
Three-dimensional (3D) stereophotogrammetry is a novel imaging technique that has gained popularity in the medical field as a reliable, non-invasive, and radiation-free imaging modality. It uses optical sensors to acquire multiple 2D images from different angles which are reconstructed into a 3D digital model of the subject's surface. The technique proved to be especially useful in craniofacial applications, where it serves as a tool to overcome the limitations imposed by conventional imaging modalities and subjective evaluation methods. The capability to acquire high-dimensional data in a quick and safe manner and archive them for retrospective longitudinal analyses, provides the field with a methodology to increase the understanding of the morphological development of the cranium, its growth patterns and the effect of different treatments over time.This review describes the role of 3D stereophotogrammetry in the evaluation of craniosynostosis, including reliability studies, current and potential clinical use cases, and practical challenges. Finally, developments within the research field are analyzed by means of bibliometric networks, depicting prominent research topics, authors, and institutions, to stimulate new ideas and collaborations in the field of craniofacial 3D stereophotogrammetry.We anticipate that utilization of this modality's full potential requires a global effort in terms of collaborations, data sharing, standardization, and harmonization. Such developments can facilitate larger studies and novel deep learning methods that can aid in reaching an objective consensus regarding the most effective treatments for patients with craniosynostosis and other craniofacial anomalies, and to increase our understanding of these complex dysmorphologies and associated phenotypes.
三维(3D)立体摄影测量是一种新颖的成像技术,已在医学领域作为一种可靠、非侵入性且无辐射的成像方式而受到欢迎。它使用光学传感器从不同角度获取多个 2D 图像,然后将这些图像重建为对象表面的 3D 数字模型。该技术在颅面应用中特别有用,可作为一种工具来克服传统成像方式和主观评估方法的局限性。它能够快速、安全地获取高维数据,并将其存档以备进行回顾性纵向分析,为该领域提供了一种方法,以增加对颅骨形态发育、生长模式以及不同治疗方法随时间推移的影响的理解。
本文综述了 3D 立体摄影测量在颅缝早闭评估中的作用,包括可靠性研究、当前和潜在的临床应用案例以及实际挑战。最后,通过文献计量网络分析研究领域的发展,描绘突出的研究主题、作者和机构,以激发颅面 3D 立体摄影测量领域的新想法和合作。
我们预计,要充分发挥这种方式的潜力,需要在合作、数据共享、标准化和协调方面做出全球性的努力。这种发展可以促进更大规模的研究和新的深度学习方法,以帮助就颅缝早闭和其他颅面畸形患者的最有效治疗方法达成客观共识,并增进我们对这些复杂畸形和相关表型的理解。