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Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC

2023-10-23

Abstract excerpt

<h4>Background: </h4> Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are considered the standard first-line therapy for treatment-naive patients with advanced/metastatic non-small cell lung cancer (NSCLC) who have sensitizing EGFR mutations. Currently, there are three generations of EGFR-TKIs available for the treatment of EGFR mutation-positive NSCLC. However, the optimal sequence of ad...

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Literature Corpus work
a1cd0a86-ac43-5bd1-a9e2-d0fd534739b6
DOI
10.21203/rs.3.rs-3449456/v1
Open publication

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Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLCDOI 10.21203/rs.3.rs-3449456/v1
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