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01-02-2020 | Magnetic Resonance Imaging | Clinical Study

Radiomics as prognostic factor in brain metastases treated with Gamma Knife radiosurgery

Authors: Chih-Ying Huang, Cheng-Chia Lee, Huai-Che Yang, Chung-Jung Lin, Hsiu-Mei Wu, Wen-Yuh Chung, Cheng-Ying Shiau, Wan-Yuo Guo, David Hung-Chi Pan, Syu-Jyun Peng

Published in: Journal of Neuro-Oncology | Issue 3/2020

Abstract

Purpose

Gamma Knife radiosurgery (GKRS) is a non-invasive procedure for the treatment of brain metastases. This study sought to determine whether radiomic features of brain metastases derived from pre-GKRS magnetic resonance imaging (MRI) could be used in conjunction with clinical variables to predict the effectiveness of GKRS in achieving local tumor control.

Methods

We retrospectively analyzed 161 patients with non-small cell lung cancer (576 brain metastases) who underwent GKRS for brain metastases. The database included clinical data and pre-GKRS MRI. Brain metastases were demarcated by experienced neurosurgeons, and radiomic features of each brain metastasis were extracted. Consensus clustering was used for feature selection. Cox proportional hazards models and cause-specific proportional hazards models were used to correlate clinical variables and radiomic features with local control of brain metastases after GKRS.

Results

Multivariate Cox proportional hazards model revealed that higher zone percentage (hazard ratio, HR 0.712; P = .022) was independently associated with superior local tumor control. Similarly, multivariate cause-specific proportional hazards model revealed that higher zone percentage (HR 0.699; P = .014) was independently associated with superior local tumor control.

Conclusions

The zone percentage of brain metastases, a radiomic feature derived from pre-GKRS contrast-enhanced T1-weighted MRIs, was found to be an independent prognostic factor of local tumor control following GKRS in patients with non-small cell lung cancer and brain metastases. Radiomic features indicate the biological basis and characteristics of tumors and could potentially be used as surrogate biomarkers for predicting tumor prognosis following GKRS.

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Title: Radiomics as prognostic factor in brain metastases treated with Gamma Knife radiosurgery
Authors: Chih-Ying Huang
Cheng-Chia Lee
Huai-Che Yang
Chung-Jung Lin
Hsiu-Mei Wu
Wen-Yuh Chung
Cheng-Ying Shiau
Wan-Yuo Guo
David Hung-Chi Pan
Syu-Jyun Peng
Publication date: 01-02-2020
Publisher: Springer US
Keywords: Magnetic Resonance Imaging
Magnetic Resonance Imaging
NSCLC
Metastasis
NSCLC
Published in: Journal of Neuro-Oncology / Issue 3/2020
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI: https://doi.org/10.1007/s11060-019-03343-4

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Radiomics as prognostic factor in brain metastases treated with Gamma Knife radiosurgery

Abstract

Purpose

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

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