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

The Role of Artificial Intelligence in Early Cancer Diagnosis

(2022) Benjamin Hunter et al.   Cancers

Promoting early diagnosis and recovering from the COVID-19 pandemic in lung cancer through public awareness campaigns: learning from patient and public insight work

(2021) Matthew Evison et al.   BMJ Open Respiratory Research

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

(2020) David R Baldwin et al.   THORAX

Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram

(2020) Ailing Liu et al.   Cancer 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

Radiologic-Pathologic Correlation for Nondiagnostic CT-Guided Lung Biopsies Performed for the Evaluation of Lung Cancer

(2020) Yuntong Ma et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule

(2020) Bao Feng et al.   EUROPEAN JOURNAL OF RADIOLOGY

A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules

(2020) Xiangmeng Chen et al.   CANCER IMAGING

Addressing Global Inequities in Positron Emission Tomography-Computed Tomography (PET-CT) for Cancer Management: A Statistical Model to Guide Strategic Planning

(2020) Miguel Gallach et al.   MEDICAL SCIENCE MONITOR

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

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

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

(2020) Fabian Isensee et al.   NATURE METHODS

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

Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer

(2018) Wookjin Choi et al.   MEDICAL PHYSICS

Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population

(2018) Kaman Chung et al.   THORAX

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

A radiogenomic dataset of non-small cell lung cancer

(2018) Shaimaa Bakr et al.   Scientific Data

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

(2017) Guixia Kang et al.   PLoS One

Predicting Malignant Nodules from Screening CT Scans

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

Recent Trends in the Identification of Incidental Pulmonary Nodules

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

Performance of Lung-RADS in the National Lung Screening Trial

(2015) Paul F. Pinsky et al.   ANNALS OF INTERNAL MEDICINE

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

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

British Thoracic Society guidelines for the investigation and management of pulmonary nodules: accredited by NICE

(2015) M E J Callister et al.   THORAX

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

Probability of Cancer in Pulmonary Nodules Detected on First Screening CT

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

One statistical test is sufficient for assessing new predictive markers

(2011) Andrew J Vickers et al.   BMC Medical Research Methodology

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

(2011) Samuel G. Armato et al.   MEDICAL PHYSICS