Martin Philip, Holloway Lois, Metcalfe Peter, Koh Eng-Siew, Brighi Caterina
Centre for Medical and Radiation Physics, School of Physics, University of Wollongong, Wollongong, NSW 2522, Australia.
Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia.
Cancers (Basel). 2022 Aug 12;14(16):3897. doi: 10.3390/cancers14163897.
Radiomics is a field of medical imaging analysis that focuses on the extraction of many quantitative imaging features related to shape, intensity and texture. These features are incorporated into models designed to predict important clinical or biological endpoints for patients. Attention for radiomics research has recently grown dramatically due to the increased use of imaging and the availability of large, publicly available imaging datasets. Glioblastoma multiforme (GBM) patients stand to benefit from this emerging research field as radiomics has the potential to assess the biological heterogeneity of the tumour, which contributes significantly to the inefficacy of current standard of care therapy. Radiomics models still require further development before they are implemented clinically in GBM patient management. Challenges relating to the standardisation of the radiomics process and the validation of radiomic models impede the progress of research towards clinical implementation. In this manuscript, we review the current state of radiomics in GBM, and we highlight the barriers to clinical implementation and discuss future validation studies needed to advance radiomics models towards clinical application.
放射组学是医学影像分析领域，专注于提取许多与形状、强度和纹理相关的定量影像特征。这些特征被纳入旨在预测患者重要临床或生物学终点的模型中。由于成像技术的使用增加以及大量公开可用的成像数据集的存在，最近对放射组学研究的关注度急剧上升。多形性胶质母细胞瘤（GBM）患者有望从这个新兴研究领域中受益，因为放射组学有潜力评估肿瘤的生物学异质性，而这对当前标准治疗方案的无效性有显著影响。在GBM患者管理中临床实施之前，放射组学模型仍需要进一步发展。与放射组学过程标准化和放射组学模型验证相关的挑战阻碍了向临床实施研究的进展。在本手稿中，我们回顾了GBM中放射组学的当前状态，并强调了临床实施的障碍，讨论了推进放射组学模型向临床应用发展所需的未来验证研究。
