Department of Cell Biology & Anatomy, Alberta Children's Hospital Research Institute and McCaig Bone and Joint Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; DeepSurface AI Inc., Calgary, AB, Canada.
DeepSurface AI Inc., Calgary, AB, Canada.
Am J Hum Genet. 2024 Jan 4;111(1):39-47. doi: 10.1016/j.ajhg.2023.11.011.
Craniofacial phenotyping is critical for both syndrome delineation and diagnosis because craniofacial abnormalities occur in 30% of characterized genetic syndromes. Clinical reports, textbooks, and available software tools typically provide two-dimensional, static images and illustrations of the characteristic phenotypes of genetic syndromes. In this work, we provide an interactive web application that provides three-dimensional, dynamic visualizations for the characteristic craniofacial effects of 95 syndromes. Users can visualize syndrome facial appearance estimates quantified from data and easily compare craniofacial phenotypes of different syndromes. Our application also provides a map of morphological similarity between a target syndrome and other syndromes. Finally, users can upload 3D facial scans of individuals and compare them to our syndrome atlas estimates. In summary, we provide an interactive reference for the craniofacial phenotypes of syndromes that allows for precise, individual-specific comparisons of dysmorphology.
颅面表型对于综合征的划定和诊断都至关重要,因为颅面异常发生在 30%的已确定的遗传综合征中。临床报告、教科书和现有的软件工具通常提供二维、静态的图像和遗传综合征特征表型的插图。在这项工作中,我们提供了一个交互式网络应用程序,为 95 种综合征的特征颅面影响提供了三维、动态的可视化效果。用户可以从数据中可视化量化的综合征面部外观估计,并轻松比较不同综合征的颅面表型。我们的应用程序还提供了目标综合征与其他综合征之间形态相似性的图谱。最后,用户可以上传个体的 3D 面部扫描,并将其与我们的综合征图谱估计进行比较。总之,我们为综合征的颅面表型提供了一个交互式参考,允许对畸形进行精确的、个体特异性的比较。