MRI radiomics for brain metastasis sub-pathology classification from non-small cell lung cancer: a machine learning, multicenter study

Deng, Fuxing; Liu, Zhiyuan; Wei, Fang; Niu, Lishui; Chu, Xianjing; Cheng, Quan; Zhang, Zijian; Zhou, Rongrong; Yang, Guang

doi:10.1007/s13246-023-01300-0

Phys Eng Sci Med

2023

DOI: 10.1007/s13246-023-01300-0

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MRI radiomics for brain metastasis sub-pathology classification from non-small cell lung cancer: a machine learning, multicenter study

Fuxing Deng

Zhiyuan Liu

Fang Wei

et al.

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2024

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Cited by 11 publications

References 42 publications

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Metastatic brain tumors: from development to cutting‐edge treatment

Tanzhu,

Chen,

Ning

et al. 2024

MedComm

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Metastatic brain tumors, also called brain metastasis (BM), represent a challenging complication of advanced tumors. Tumors that commonly metastasize to the brain include lung cancer and breast cancer. In recent years, the prognosis for BM patients has improved, and significant advancements have been made in both clinical and preclinical research. This review focuses on BM originating from lung cancer and breast cancer. We briefly overview the history and epidemiology of BM, as well as the current diagnostic and treatment paradigms. Additionally, we summarize multiomics evidence on the mechanisms of tumor occurrence and development in the era of artificial intelligence and discuss the role of the tumor microenvironment. Preclinically, we introduce the establishment of BM models, detailed molecular mechanisms, and cutting‐edge treatment methods. BM is primarily treated with a comprehensive approach, including local treatments such as surgery and radiotherapy. For lung cancer, targeted therapy and immunotherapy have shown efficacy, while in breast cancer, monoclonal antibodies, tyrosine kinase inhibitors, and antibody–drug conjugates are effective in BM. Multiomics approaches assist in clinical diagnosis and treatment, revealing the complex mechanisms of BM. Moreover, preclinical agents often need to cross the blood–brain barrier to achieve high intracranial concentrations, including small‐molecule inhibitors, nanoparticles, and peptide drugs. Addressing BM is imperative.

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Metastatic brain tumors: from development to cutting‐edge treatment

Tanzhu,

Chen,

Ning

et al. 2024

MedComm

View full text Add to dashboard Cite

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Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study

Li,

Yu,

Chang

et al. 2024

J Digit Imaging. Inform. med.

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Insights into radiomics: impact of feature selection and classification

Perniciano,

Loddo,

Di Ruberto

et al. 2024

Multimed Tools Appl

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MRI radiomics for brain metastasis sub-pathology classification from non-small cell lung cancer: a machine learning, multicenter study

Cited by 11 publications

References 42 publications

Metastatic brain tumors: from development to cutting‐edge treatment

Metastatic brain tumors: from development to cutting‐edge treatment

Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study

Insights into radiomics: impact of feature selection and classification

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