Deleu Anne-Leen, Sathekge Machaba Junior, Maes Alex, De Spiegeleer Bart, Sathekge Mike, Van de Wiele Christophe
Department of Nuclear Medicine, AZ Groeninge, 8500 Kortrijk, Belgium.
Department of Nuclear Medicine, University of Pretoria, 0002 Pretoria, South Africa.
Biomedicines. 2020 Aug 24;8(9):304. doi: 10.3390/biomedicines8090304.
Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this paper, available literature on texture analysis using FDG PET imaging in patients suffering from tumors of the gastro-intestinal tract is reviewed. While texture analysis of FDG PET images appears clinically promising, due to the lack of technical specifications, a large variability in the implemented methodology used for texture analysis and lack of statistical robustness, at present, no firm conclusions can be drawn regarding the predictive or prognostic value of FDG PET texture analysis derived indices in patients suffering from gastro-enterologic tumors. In order to move forward in this field, a harmonized image acquisition and processing protocol as well as a harmonized protocol for texture analysis of tumor volumes, allowing multi-center studies excluding statistical biases should be considered. Furthermore, the complementary and additional value of CT-imaging, as part of the PET/CT imaging technique, warrants exploration.
通过多个图像体素之间空间关系的复杂数学模型从正电子发射断层扫描(PET)图像中获取的放射组学或纹理特征提取,目前正成为医学成像中评估肿瘤内异质性的一种新工具。本文综述了有关使用氟代脱氧葡萄糖(FDG)PET成像对胃肠道肿瘤患者进行纹理分析的现有文献。虽然FDG PET图像的纹理分析在临床上似乎很有前景,但由于缺乏技术规范、纹理分析所采用方法的巨大变异性以及缺乏统计稳健性,目前对于FDG PET纹理分析得出的指标在胃肠肿瘤患者中的预测或预后价值,无法得出确凿结论。为了在该领域取得进展,应考虑采用统一的图像采集和处理方案以及统一的肿瘤体积纹理分析方案,以允许进行排除统计偏差的多中心研究。此外,作为PET/CT成像技术一部分的CT成像的互补和附加价值,值得探索。