Open AccessIntegrating pathomics with radiomics and genomics for cancer prognosis: A brief review
Author(s) -
Cheng Lu,
Rakesh Shiradkar,
Zaiyi Liu
Publication year - 2021
Publication title -
chinese journal of cancer research/chinese journal of cancer research
Language(s) - English
Resource type - Journals
eISSN - 1993-0631
pISSN - 1000-9604
DOI - 10.21147/j.issn.1000-9604.2021.05.03
Subject(s) - radiomics , genomics , digital pathology , modalities , omics , medicine , data science , pathology , medical physics , computer science , bioinformatics , biology , radiology , genome , social science , biochemistry , sociology , gene
In the last decade, the focus of computational pathology research community has shifted from replicating the pathological examination for diagnosis done by pathologists to unlocking and discovering "sub-visual" prognostic image cues from the histopathological image. While we are getting more knowledge and experience in digital pathology, the emerging goal is to integrate other-omics or modalities that will contribute for building a better prognostic assay. In this paper, we provide a brief review of representative works that focus on integrating pathomics with radiomics and genomics for cancer prognosis. It includes: correlation of pathomics and genomics; fusion of pathomics and genomics; fusion of pathomics and radiomics. We also present challenges, potential opportunities, and avenues for future work.