Radiomics in the evaluation of lung nodules: Intrapatient concordance between full-dose and ultra-low-dose chest computed tomography

Effects of simulated dose variation on contrast-enhanced CT-based radiomic analysis for Non-Small Cell Lung Cancer

(2020) Tobias Hepp et al.   EUROPEAN JOURNAL OF RADIOLOGY

Optimization of acquisition parameters for reduced-dose thoracic CT: A phantom study

(2020) K. Martini et al.   Diagnostic and Interventional Imaging

Interobserver agreement issues in radiology

(2020) M. Benchoufi et al.   Diagnostic and Interventional Imaging

A primer for understanding radiology articles about machine learning and deep learning

(2020) Takeshi Nakaura et al.   Diagnostic and Interventional Imaging

Low and ultra-low dose radiation in CT: Opportunities and limitations

(2019) J.P. Beregi et al.   Diagnostic and Interventional Imaging

Wide-volume versus helical acquisition in unenhanced chest CT: prospective intra-patient comparison of diagnostic accuracy and radiation dose in an ultra-low-dose setting

(2019) Elsa Meyer et al.   EUROPEAN RADIOLOGY

Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique

(2018) Yoshiharu Ohno et al.   EUROPEAN JOURNAL OF RADIOLOGY

Pulmonary Nodule Management in Lung Cancer Screening

(2018) Myrna C.B. Godoy et al.   RADIOLOGIC CLINICS OF NORTH AMERICA

Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters

(2018) Roberto Berenguer et al.   RADIOLOGY

Ovarian cancer: An update on imaging in the era of radiomics

(2018) S. Nougaret et al.   Diagnostic and Interventional Imaging

Ultra-low-dose unenhanced chest CT: Prospective comparison of high kV/low mA versus low kV/high mA protocols

(2018) C. Ludes et al.   Diagnostic and Interventional Imaging

Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study

(2017) Martin C Tammemagi et al.   LANCET ONCOLOGY

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

(2017) Heber MacMahon et al.   RADIOLOGY

Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13 mSv

(2016) Michael Messerli et al.   EUROPEAN JOURNAL OF RADIOLOGY

Diagnostic Performance of Ultra-Low-Dose Computed Tomography for Detecting Asbestos-Related Pleuropulmonary Diseases: Prospective Study in a Screening Setting

(2016) Marysa Schaal et al.   PLoS One

Scanner thoracique ultra-basse dose : la mort de la radiographie thoracique ?

(2016) Claire Ludes et al.   PRESSE MEDICALE

Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability

(2016) Hyungjin Kim et al.   PLoS One

Measuring Computed Tomography Scanner Variability of Radiomics Features

(2015) Dennis Mackin et al.   INVESTIGATIVE RADIOLOGY

Pulmonary Nodule Characterization, Including Computer Analysis and Quantitative Features

(2015) Brian J. Bartholmai et al.   JOURNAL OF THORACIC IMAGING

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

Benefits and Harms of CT Screening for Lung Cancer

(2012) Peter B. Bach et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

NELSON lung cancer screening study

(2012) Ying Ru Zhao et al.   CANCER IMAGING

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

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

(2011)   NEW ENGLAND JOURNAL OF MEDICINE