Radiomics signature: a potential biomarker for the prediction of disease-free survival in early-stage (I or II) non—small cell lung cancer
Purpose To develop a radiomics signature to estimate disease-free survival (DFS) in
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
patients with early-stage (stage I–II) non–small cell lung cancer (NSCLC) and assess its …
Radiomics for survival risk stratification of clinical and pathologic stage IA pure-solid non–small cell lung cancer
Background Radiomics-based biomarkers enable the prognostication of resected non–small
cell lung cancer (NSCLC), but their effectiveness in clinical stage and pathologic stage IA …
cell lung cancer (NSCLC), but their effectiveness in clinical stage and pathologic stage IA …
[HTML][HTML] Predicting survival time of lung cancer patients using radiomic analysis
Objectives This study investigates the prediction of Non-small cell lung cancer (NSCLC)
patient survival outcomes based on radiomic texture and shape features automatically …
patient survival outcomes based on radiomic texture and shape features automatically …
Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients
L Yang, J Yang, X Zhou, L Huang, W Zhao, T Wang… - European …, 2019 - Springer
Objectives The aim of this study was to develop a radiomics nomogram by combining the
optimized radiomics signatures extracted from 2D and/or 3D CT images and clinical …
optimized radiomics signatures extracted from 2D and/or 3D CT images and clinical …
CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy
F Yang, J Zhang, L Zhou, W Xia, R Zhang, H Wei… - European …, 2022 - Springer
Objectives The goal of this study was to evaluate the effectiveness of radiomics signatures
on pre-treatment computed tomography (CT) images of lungs to predict the tumor responses …
on pre-treatment computed tomography (CT) images of lungs to predict the tumor responses …
Development and validation of a predictive radiomics model for clinical outcomes in stage I non-small cell lung cancer
Purpose To develop and validate a radiomics signature that can predict the clinical
outcomes for patients with stage I non-small cell lung cancer (NSCLC). Methods and …
outcomes for patients with stage I non-small cell lung cancer (NSCLC). Methods and …
A systematic review and meta-analysis of the prognostic value of radiomics based models in non-small cell lung cancer treated with curative radiotherapy
Background and purpose Radiomics allows extraction of quantifiable features from imaging.
This study performs a systematic review and meta-analysis of the performance of radiomics …
This study performs a systematic review and meta-analysis of the performance of radiomics …
Identification of non–small cell lung cancer sensitive to systemic cancer therapies using radiomics
Purpose: Using standard-of-care CT images obtained from patients with a diagnosis of non–
small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of …
small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of …
Radiomics-based prognosis analysis for non-small cell lung cancer
Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative
features from radiological images. Radiomic features have been shown to provide …
features from radiological images. Radiomic features have been shown to provide …
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer
Objectives To distinguish squamous cell carcinoma (SCC) from lung adenocarcinoma
(ADC) based on a radiomic signature Methods This study involved 129 patients with non …
(ADC) based on a radiomic signature Methods This study involved 129 patients with non …