Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis

Joint EANM/SNMMI guideline on radiomics in nuclear medicine

(2022) M. Hatt et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

(2022) Benjamin Hunter et al.   EBioMedicine

Repeatability and reproducibility study of radiomic features on a phantom and human cohort

(2021) A. K. Jha et al.   Scientific Reports

Development and validation of a clinically applicable deep learning strategy (HONORS) for pulmonary nodule classification at CT: a retrospective multicentre study

(2021) Wenhui Lv et al.   LUNG CANCER

Radiomics and artificial intelligence in lung cancer screening

(2021) Franciszek Binczyk et al.   Translational Lung Cancer Research

Deciphering the glioblastoma phenotype by computed tomography radiomics

(2021) Inge Compter et al.   RADIOTHERAPY AND ONCOLOGY

Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients—a radiomics nomogram analysis

(2021) Xiaoyan Yang et al.   EUROPEAN RADIOLOGY

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography

(2021) Jarrel Seah et al.   BMJ Open

Clinical implications of intratumor heterogeneity: challenges and opportunities

(2020) Santiago Ramón y Cajal et al.   JOURNAL OF MOLECULAR MEDICINE-JMM

External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules

(2020) David R Baldwin et al.   THORAX

Comprehensive T cell repertoire characterization of non-small cell lung cancer

(2020) Alexandre Reuben et al.   Nature Communications

Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules

(2020) Pierre P. Massion et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Baseline Results of the West London lung cancer screening pilot study – Impact of mobile scanners and dual risk model utilisation

(2020) Emily C. Bartlett et al.   LUNG CANCER

Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes

(2020) Rui Zhang et al.   Cancer Management and Research

Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures

(2020) Sebastian Sanduleanu et al.   RADIOTHERAPY AND ONCOLOGY

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

Interstitial Lung Abnormalities and Lung Cancer Risk in the National Lung Screening Trial

(2019) Stacey-Ann Whittaker Brown et al.   CHEST

Implementing lung cancer screening: baseline results from a community-based ‘Lung Health Check’ pilot in deprived areas of Manchester

(2018) Phil A Crosbie et al.   THORAX

Discovery of pre-therapy 2-deoxy-2-18F-fluoro-D-glucose positron emission tomography-based radiomics classifiers of survival outcome in non-small-cell lung cancer patients

(2018) Mubarik A. Arshad et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

(2018) Roger Sun et al.   LANCET ONCOLOGY

A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules

(2018) Ahmed Shaffie et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

(2018) Niha Beig et al.   RADIOLOGY

Double-slit photoelectron interference in strong-field ionization of the neon dimer

(2018) Maksim Kunitski et al.   Nature Communications

3D multi-view convolutional neural networks for lung nodule classification

(2017) Guixia Kang et al.   PLoS One

Recent Trends in the Identification of Incidental Pulmonary Nodules

(2015) Michael K. Gould et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

The British Thoracic Society guidelines on the investigation and management of pulmonary nodules

(2015) David R Baldwin et al.   THORAX

UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening

(2015) J K Field et al.   THORAX

Initial LDCT appearance of incident lung cancers in the ITALUNG trial

(2014) Mario Mascalchi et al.   EUROPEAN JOURNAL OF RADIOLOGY

Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening

(2014) Nanda Horeweg et al.   LANCET ONCOLOGY

Evaluation of Individuals With Pulmonary Nodules: When Is It Lung Cancer?

(2013) Michael K. Gould et al.   CHEST

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

(2011)   NEW ENGLAND JOURNAL OF MEDICINE

The Role of Tumor Stroma in Cancer Progression and Prognosis: Emphasis on Carcinoma-Associated Fibroblasts and Non-small Cell Lung Cancer

(2010) Roy M. Bremnes et al.   Journal of Thoracic Oncology