Sotoudeh Houman, Sarrami Amir Hossein, Roberson Glenn H, Shafaat Omid, Sadaatpour Zahra, Rezaei Ali, Choudhary Gagandeep, Singhal Aparna, Sotoudeh Ehsan, Tanwar Manoj
Radiology, University of Alabama at Birmingham, Birmingham, USA.
Radiology, University of Semnan, Semnan, IRN.
Cureus. 2021 Dec 1;13(12):e20080. doi: 10.7759/cureus.20080. eCollection 2021 Dec.
Radiomics has achieved significant momentum in radiology research and can reveal image information invisible to radiologists' eyes. Radiomics first evolved for oncologic imaging. Oncologic applications (histopathology, tumor grading, gene mutation analysis, patient survival, and treatment response prediction) of radiomics are widespread. However, it is not limited to oncologic analysis, and any digital medical images can benefit from radiomics analysis. This article reviews the current literature on radiomics in non-oncologic, neurological disorders including ischemic strokes, hemorrhagic stroke, cerebral aneurysms, and demyelinating disorders.
放射组学在放射学研究中取得了显著进展,能够揭示放射科医生肉眼无法察觉的图像信息。放射组学最初是为肿瘤成像而发展起来的。放射组学在肿瘤学方面的应用(组织病理学、肿瘤分级、基因突变分析、患者生存率及治疗反应预测)十分广泛。然而,它并不局限于肿瘤学分析,任何数字医学图像都能从放射组学分析中受益。本文综述了目前关于放射组学在非肿瘤性神经系统疾病中的文献,这些疾病包括缺血性中风、出血性中风、脑动脉瘤和脱髓鞘疾病。