| Literature DB >> 35895118 |
Shenglin Li1,2,3,4, Zhengxiao Li1,2,3,4, Xiaoyu Huang1,2,3,4, Peng Zhang5, Juan Deng1,2,3,4, Xianwang Liu1,2,3,4, Caiqiang Xue1,2,3,4, Wenjuan Zhang1,2,3,4, Junlin Zhou6,7,8,9.
Abstract
The histopathological growth patterns (HGPs) of liver metastases (LMs) are independently associated with the long-term prognosis of the primary tumor, with different HGPs predicting different patient outcomes and clinical treatment decisions. Non-invasive imaging biomarkers for stratification of HGPs are beneficial for treatment monitoring, evaluation of efficacy, and prognosis prediction of LMs. This review describes the state of research regarding computed tomography (CT), magnetic resonance imaging (MRI), and radiomics imaging biomarkers for LM-HGPs; discusses the advantages of CT, MRI, and radiomics for classification of LM-HGPs; and provides a reference for the stratification of LM-HGPs. Finally, the difficulties and deficiencies of CT, MRI, and radiomics in LM-HGP research are summarized along with the proposed directions for future research.Entities:
Keywords: CT; Histopathological growth patterns; Liver metastasis; MRI; Radiomics
Mesh:
Year: 2022 PMID: 35895118 DOI: 10.1007/s00261-022-03616-z
Source DB: PubMed Journal: Abdom Radiol (NY)