Observer variability and performance of Lung-RADS on baseline and follow-up screening computed tomography data

Principal Investigator

Name
Bram van Ginneken

Degrees
PhD

Institution
Radboud University Medical Center Nijmegen

Position Title
Professor of Functional Image Analysis

Email
bram.vanginneken@radboudumc.nl

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-187

Initial CDAS Request Approval
Jan 11, 2016

Title
Observer variability and performance of Lung-RADS on baseline and follow-up screening computed tomography data

Summary
The goal of this project is to gain more insight into the inter-observer variability, the performance and practical use of Lung-RADS in a screening population using follow-up information.

Aims

Determine the inter-observer variability for the assignment of a Lung-RADS category to a case.
Establish the performance of Lung-RADS used retrospectively in follow-up rounds of the NLST.
Establish the workflow of lung cancer screening software of baseline and follow-up CT scans from the NLST

Collaborators

Cornelia Schaefer-Prokop, MD, PhD. Radboud University Medical Center Nijmegen, the Netherlands
Colin Jacobs, PhD. Radboud University Medical Center Nijmegen, the Netherlands

Related Publications

• Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement.
  Jacobs C, Schreuder A, van Riel SJ, Scholten ET, Wittenberg R, Wille MMW, de Hoop B, Sprengers R, Mets OM, Geurts B, Prokop M, Schaefer-Prokop C, van Ginneken B
  Radiol Imaging Cancer. 2021 Sep; Volume 3 (Issue 5): Pages e200160 PUBMED
• Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management.
  van Riel SJ, Jacobs C, Scholten ET, Wittenberg R, Winkler Wille MM, de Hoop B, Sprengers R, Mets OM, Geurts B, Prokop M, Schaefer-Prokop C, van Ginneken B
  Eur Radiol. 2019 Feb; Volume 29 (Issue 2): Pages 924-931 PUBMED