Radiomics-based T-staging of hollow organ cancers

Frontiers in Oncology

Oncology

Yuefei Feng¹  Xi Zhang¹  Yang Liu¹  Dong Huang¹  Xiaopan Xu¹  Peng Du¹  Hongbing Lu¹ 

[1] School of Biomedical Engineering, Air Force Medical University, Shaanxi, China;Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Shaanxi, China;

关键词: radiomics;    hollow organ cancer;    segmentation;    T-staging;    feature-based methods;    deep learning-based methods;   

DOI  :  10.3389/fonc.2023.1191519

 received in 2023-05-23, accepted in 2023-08-11,  发布年份 2023

来源: Frontiers

【 摘 要 】

Cancer growing in hollow organs has become a serious threat to human health. The accurate T-staging of hollow organ cancers is a major concern in the clinic. With the rapid development of medical imaging technologies, radiomics has become a reliable tool of T-staging. Due to similar growth characteristics of hollow organ cancers, radiomics studies of these cancers can be used as a common reference. In radiomics, feature-based and deep learning-based methods are two critical research focuses. Therefore, we review feature-based and deep learning-based T-staging methods in this paper. In conclusion, existing radiomics studies may underestimate the hollow organ wall during segmentation and the depth of invasion in staging. It is expected that this survey could provide promising directions for following research in this realm.

【 授权许可】

Unknown   
Copyright © 2023 Huang, Xu, Du, Feng, Zhang, Lu and Liu