Determining the prevalence and misclassification of perifissural nodules in the NLST.
Principal Investigator
Name
Anton Schreuder
Degrees
M.D.
Institution
Radboudumc
Position Title
Ph.D. student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-296
Initial CDAS Request Approval
Mar 22, 2017
Title
Determining the prevalence and misclassification of perifissural nodules in the NLST.
Summary
Intra-pulmonary lymph nodes are defined by certain morphological features on a CT, though without pathological confirmation such an abnormality is commonly termed perifissural nodule (PFN). Previous observer studies have shown that nodules labeled as PFNs have a negligible chance of being malignant. This project aims to determine whether the results of this classification system also applies to NLST scans.
Aims
- To estimate the prevalence of perifissural nodules in the NLST.
- To determine how often cancers are misclassified as PFNs.
- To attempt modifying and testing other versions of the PFN classification system.
Collaborators
Bram van Ginneken, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Colin Jacobs, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Cornelia Schaefer-Prokop, MD, PhD. Radboud University Medical Center, the Netherlands
Mathias Prokop, MD, PhD. Radboud University Medical Center, the Netherlands
Anton Schreuder, MD. Radboud University Medical Center, the Netherlands
Related Publications
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Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability.
Schreuder A, van Ginneken B, Scholten ET, Jacobs C, Prokop M, Sverzellati N, Desai SR, Devaraj A, Schaefer-Prokop CM
Radiology. 2018 Jul; Pages 172771 PUBMED