Comparison of prediction models with radiological semantic features and radiomics in lung cancer diagnosis of the pulmonary nodules: a case-control study

Screening for Lung Cancer

(2018) Peter J. Mazzone et al.   CHEST

Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule

(2018) Li Fan et al.   EUROPEAN RADIOLOGY

Radiomic features analysis in computed tomography images of lung nodule classification

(2018) Chia-Hung Chen et al.   PLoS One

Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study

(2018) Ying Liu et al.   RADIOLOGY

Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma

(2017) So Hee Song et al.   Journal of Thoracic Oncology

Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC

(2017) Thibaud P. Coroller et al.   Journal of Thoracic Oncology

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

(2017) Muhammad Shafiq-ul-Hassan et al.   MEDICAL PHYSICS

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

(2017) Heber MacMahon et al.   RADIOLOGY

Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings

(2017) Lin Lu et al.   PLoS One

Characterization of PET/CT images using texture analysis: the past, the present… any future?

(2016) Mathieu Hatt et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer

(2016) Yan-qi Huang et al.   JOURNAL OF CLINICAL ONCOLOGY

A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

(2016) Jayashree Kalpathy-Cramer et al.   JOURNAL OF DIGITAL IMAGING

Predicting Malignant Nodules from Screening CT Scans

(2016) Samuel Hawkins et al.   Journal of Thoracic Oncology

Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features

(2016) P. Lo et al.   MEDICAL PHYSICS

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer

(2016) Yanqi Huang et al.   RADIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Effects of contrast-enhancement, reconstruction slice thickness and convolution kernel on the diagnostic performance of radiomics signature in solitary pulmonary nodule

(2016) Lan He et al.   Scientific Reports

Reproducibility of radiomics for deciphering tumor phenotype with imaging

(2016) Binsheng Zhao et al.   Scientific Reports

Risk of malignancy in pulmonary nodules: A validation study of four prediction models

(2015) Ali Al-Ameri et al.   LUNG CANCER

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

(2015) Thibaud P. Coroller et al.   RADIOTHERAPY AND ONCOLOGY

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study

(2014) Binsheng Zhao et al.   Translational Oncology

Probability of Cancer in Pulmonary Nodules Detected on First Screening CT

(2013) Annette McWilliams et al.   NEW ENGLAND JOURNAL OF MEDICINE

Incidentally detected small pulmonary nodules on CT

(2009) A.J. Edey et al.   CLINICAL RADIOLOGY

Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules

(2007) E M Schultz et al.   THORAX