European Radiology: Application of multimodal MRI-based radiomics approach in predicting response to gamma knife radiotherapy after brain metastases from lung cancer

Lung cancer brain metastases (LCBM) colonize and persist in the intracranial environment, threatening the health and life of patients

Lung cancer brain metastases (LCBM) colonize and persist in the intracranial environment, threatening the health and life of patients

Multimodal MRI can display structural and pathophysiological information of the entire tumor and its surrounding environment, and can be used repeatedly before and after treatment to monitor the disease and its response to treatment

Recently, a study published in the journal European Radiology developed and validated a multimodal MRI-based radiomics nomogram combining radiomics features and clinical factors to predict post-treatment response of LCBM to GKRS, Assist in clinical formulation and adjustment of treatment strategies for LCBM .

This study retrospectively analyzed 213 lesions in 137 LCBM patients who underwent GKRS between January 2017 and November 2020

Gender (p = 0.

In conclusion, this study developed a radiomics approach integrating multimodal MRI-based radiomics features and clinical factors to predict post-treatment response of LCBM to GKRS

In conclusion, this study developed a radiomics approach integrating multimodal MRI-based radiomics features and clinical factors to predict post-treatment response of LCBM to GKRS

Original source:

Original source:

Zekun Jiang, Bao Wang, Xiao Han, et al.

Zekun Jiang, Bao Wang, Xiao Han, et al.
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery.
DOI: 10.
1007/s00330-021-08368-w.


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