{"title":"将病理学与放射组学和基因组学相结合用于癌症预后:简要回顾。","authors":"Cheng Lu, Rakesh Shiradkar, Zaiyi Liu","doi":"10.21147/j.issn.1000-9604.2021.05.03","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9830,"journal":{"name":"Chinese journal of cancer research = Chung-kuo yen cheng yen chiu","volume":"33 5","pages":"563-573"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0b/a0/cjcr-33-5-563.PMC8580801.pdf","citationCount":"17","resultStr":"{\"title\":\"Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.\",\"authors\":\"Cheng Lu, Rakesh Shiradkar, Zaiyi Liu\",\"doi\":\"10.21147/j.issn.1000-9604.2021.05.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":9830,\"journal\":{\"name\":\"Chinese journal of cancer research = Chung-kuo yen cheng yen chiu\",\"volume\":\"33 5\",\"pages\":\"563-573\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0b/a0/cjcr-33-5-563.PMC8580801.pdf\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese journal of cancer research = Chung-kuo yen cheng yen chiu\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21147/j.issn.1000-9604.2021.05.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese journal of cancer research = Chung-kuo yen cheng yen chiu","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21147/j.issn.1000-9604.2021.05.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.
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.