Radiomics-based T-staging of hollow organ cancers
- PMID: 37719013
- PMCID: PMC10499612
- DOI: 10.3389/fonc.2023.1191519
Radiomics-based T-staging of hollow organ cancers
Abstract
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.
Keywords: T-staging; deep learning-based methods; feature-based methods; hollow organ cancer; radiomics; segmentation.
Copyright © 2023 Huang, Xu, Du, Feng, Zhang, Lu and Liu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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