Madhogarhia Rachel, Haldar Debanjan, Bagheri Sina, Familiar Ariana, Anderson Hannah, Arif Sherjeel, Vossough Arastoo, Storm Phillip, Resnick Adam, Davatzikos Christos, Fathi Kazerooni Anahita, Nabavizadeh Ali
Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Neurooncol Adv. 2022 May 27;4(1):vdac083. doi: 10.1093/noajnl/vdac083. eCollection 2022 Jan-Dec.
The current era of advanced computing has allowed for the development and implementation of the field of radiomics. In pediatric neuro-oncology, radiomics has been applied in determination of tumor histology, identification of disseminated disease, prognostication, and molecular classification of tumors (ie, radiogenomics). The field also comes with many challenges, such as limitations in study sample sizes, class imbalance, generalizability of the methods, and data harmonization across imaging centers. The aim of this review paper is twofold: first, to summarize existing literature in radiomics of pediatric neuro-oncology; second, to distill the themes and challenges of the field and discuss future directions in both a clinical and technical context.
当前的先进计算时代推动了放射组学领域的发展与应用。在儿科神经肿瘤学中，放射组学已被用于确定肿瘤组织学、识别播散性疾病、预测预后以及肿瘤的分子分类（即放射基因组学）。该领域也面临诸多挑战，例如研究样本量有限、类别不平衡、方法的可推广性以及各影像中心之间的数据协调统一。这篇综述文章的目的有两个：其一，总结儿科神经肿瘤学放射组学的现有文献；其二，提炼该领域的主题和挑战，并在临床和技术背景下讨论未来方向。
