影像组学在脊柱疾病中的应用

Application of radiomics in spinal diseases

从医学影像图像中提取和量化传统影像检查手段无法识别高通量特征信息的影像组学,逐渐成为临床实施精准医疗、个体化医疗的研究热点。脊柱疾病所表现出来的临床症状单一,传统的影像学手段对一些脊柱病变的精准定位、诊断及鉴别诊断依然具有挑战性。人工智能与影像图像的交叉融合,大大提高了一线工作者对疾病诊断准确性,并实现了对疾病未知数据的预测。目前,脊柱疾病的诊断在影像组学的应用方面未见系统的综述报道。因此,笔者重点就影像组学在脊柱疾病的应用现状及进展进行归纳总结,并提出面临的挑战及脊柱影像未来发展方向。

Radiomics,which extracts and quantifies feature information from medical images that cannot be recognized by traditional image examination methods,has gradually become a research hot spot in the clinical implementation of precision medicine and personalized medicine.The clinical symptoms of spinal diseases are single,and traditional imaging methods are still challenging for accurate localization,diagnosis and differential diagnosis of some spinal diseases.The cross fusion of artificial intelligence and images has greatly improved the accuracy of disease diagnosis by front-line workers and realized the prediction of unknown data of diseases.At present,there is no systematic review of the application of imaging in the diagnosis of spinal diseases.Therefore,the present situation and progress of the application of radiomics in spinal diseases are emphatically summarized,and the challenges and future development direction of spinal radiography are proposed.