Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis.

Clinical radiology - 1 Jul 2024

Qi H, Hou Y, Zheng Z, Zheng M, Sun X, Xing L

Abstract excerpt

AIM: To develop and validate models based on magnetic resonance imaging (MRI) radiomics for predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) in EGFR-mutant non-small-cell lung cancer (NSCLC) patients with brain metastases. MATERIALS AND METHODS: 117 EGFR-mutant NSCLC patients with brain metastases who received EGFR-TKI treatment were included in this study from...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Brain Neoplasms
Share to Carcinoma, Non-Small-Cell Lung
Share to ErbB Receptors

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Magnetic Resonance Imaging

Share to Nomograms

Share to Predictive Value of Tests

Share to Protein Kinase Inhibitors

Share to Radiomics

Source

Identifiers

PMID: 38637187
DOI: 10.1016/j.crad.2024.02.016

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis.PMID 38637187Read ↗

Predicting EGFR mutation status in non-small cell lung cancer patients with brain metastases based on MRI radiomics: A systematic review and meta-analysis.Semantic proximity Read ↗

Radiomics using contrast-enhanced T1-weighted imaging and clinical features for predicting response to EGFR-TKI in EGFR-mutated non-small cell lung cancer patients with brain metastasesSemantic proximity Read ↗

Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.Semantic proximity Read ↗

A Bayesian meta-analysis on MRI-based radiomics for predicting EGFR mutation in brain metastasis of lung cancer.Semantic proximity Read ↗

Prediction of EGFR mutation status in non-small cell lung cancer based on multiparametric MRI radiomics.Semantic proximity Read ↗

Prediction of EGFR Mutation Status in Non-small Cell Lung Cancer Based on Multiparametric MRI RadiomicsSemantic proximity Read ↗

Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patientsSemantic proximity Read ↗

Computed tomography-based radiomics and clinical-genetic features for brain metastasis prediction in patients with stage III/IV epidermal growth factor receptor-mutant non-small-cell lung cancer.Semantic proximity Read ↗

Radiomics evaluates the EGFR mutation status from the brain metastasis: a multi-center study.Semantic proximity Read ↗

Radiomic signatures for the non-invasive prediction of EGFR mutation status in brain metastases of lung adenocarcinomaSemantic proximity Read ↗

Combined radiomics of primary tumour and bone metastasis improve the prediction of EGFR mutation status and response to EGFR-TKI therapy for NSCLC.Semantic proximity Read ↗

Radiomics for Detection of the EGFR Mutation in Liver Metastatic NSCLC.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.