Radiomics in Differentiated Thyroid Cancer and Nodules: Explorations, Application, and Limitations

Cancers

Zhiyun Jia¹  Yuan Cao¹  Wei Diao¹  Jingshi Mu¹  Xiao Zhong¹  Yue Cheng² 

[1] Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610040, China;Department of Radiology, West China Hospital of Sichuan University, Chengdu 610040, China;

关键词: differentiated thyroid cancer;    radiomics;    ultrasound;    magnetic resonance imaging;    computer tomography;    prediction;   

DOI  :  10.3390/cancers13102436

来源: DOAJ

【 摘 要 】

Radiomics is an emerging technique that allows the quantitative extraction of high-throughput features from single or multiple medical images, which cannot be observed directly with the naked eye, and then applies to machine learning approaches to construct classification or prediction models. This method makes it possible to evaluate tumor status and to differentiate malignant from benign tumors or nodules in a more objective manner. To date, the classification and prediction value of radiomics in DTC patients have been inconsistent. Herein, we summarize the available literature on the classification and prediction performance of radiomics-based DTC in various imaging techniques. More specifically, we reviewed the recent literature to discuss the capacity of radiomics to predict lymph node (LN) metastasis, distant metastasis, tumor extrathyroidal extension, disease-free survival, and B-Raf proto-oncogene serine/threonine kinase (BRAF) mutation and differentiate malignant from benign nodules. This review discusses the application and limitations of the radiomics process, and explores its ability to improve clinical decision-making with the hope of emphasizing its utility for DTC patients.

【 授权许可】

Unknown