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CT, MRI, and radiomics studies of liver metastasis histopathological growth patterns: an up-to-date review

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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.

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Funding

This study was supported by grants of the National Youth Science Foundation Project (82102151) and the Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital (CY2021-ZD-01).

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Author notes

  1. Shenglin Li and Zhengxiao Li contributed equally to the writing of this article.

Authors and Affiliations

  1. Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China

    Shenglin Li, Zhengxiao Li, Xiaoyu Huang, Juan Deng, Xianwang Liu, Caiqiang Xue, Wenjuan Zhang & Junlin Zhou

  2. Second Clinical School, Lanzhou University, Lanzhou, China

    Shenglin Li, Zhengxiao Li, Xiaoyu Huang, Juan Deng, Xianwang Liu, Caiqiang Xue, Wenjuan Zhang & Junlin Zhou

  3. Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China

    Shenglin Li, Zhengxiao Li, Xiaoyu Huang, Juan Deng, Xianwang Liu, Caiqiang Xue, Wenjuan Zhang & Junlin Zhou

  4. Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China

    Shenglin Li, Zhengxiao Li, Xiaoyu Huang, Juan Deng, Xianwang Liu, Caiqiang Xue, Wenjuan Zhang & Junlin Zhou

  5. Department of Pathology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China

    Peng Zhang

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  1. Shenglin Li
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  9. Junlin Zhou
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Contributions

SL: conceptualization, validation, formal analysis, resources, writing—original draft, and writing—review & editing. ZL and XH: formal analysis, resources, and data curation. PZ: histopathological analysis. JD, XL, and CX: consult literatures. WZ and JZ: conceptualization, supervision, and project administration.

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Correspondence to Junlin Zhou.

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Li, S., Li, Z., Huang, X. et al. CT, MRI, and radiomics studies of liver metastasis histopathological growth patterns: an up-to-date review. Abdom Radiol 47, 3494–3506 (2022). https://doi.org/10.1007/s00261-022-03616-z

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