Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening
Scholten, Ernst Th.; Horeweg, Nanda; de Koning, Harry J.; Vliegenthart, Rozemarijn; Oudkerk, Matthijs; Mali, Willem P. Th. M.; de Jong, Pim A.
(2015) European Radiology, volume 25, issue 1, pp. 81 - 88
(Article)
Abstract
Objectives To analyse computed tomography (CT) findings of interval and post-screen carcinomas in lung cancer screening. Methods Consecutive interval and post-screen carcinomas from the Dutch-Belgium lung cancer screening trial were included. The prior screening and the diagnostic chest CT were reviewed by two experienced radiologists in consensus with knowledge of
... read more
the tumour location on the diagnostic CT. Results Sixty-one participants (53 men) were diagnosed with an interval or post-screen carcinoma. Twenty-two (36 %) were in retrospect visible on the prior screening CT. Detection error occurred in 20 cancers and interpretation error in two cancers. Errors involved intrabronchial tumour (n=5), bulla with wall thickening (n=5), lymphadenopathy (n=3), pleural effusion (n=1) and intraparenchymal solid nodules (n=8). These were missed because of a broad pleural attachment (n=4), extensive reticulation surrounding a nodule (n=1) and extensive scarring (n=1). No definite explanation other than human error was found in two cases. None of the interval or post-screen carcinomas involved a subsolid nodule. Conclusions Interval or post-screen carcinomas that were visible in retrospect were mostly due to detection errors of solid nodules, bulla wall thickening or endobronchial lesions. Interval or post-screen carcinomas without explanation other than human errors are rare.
show less
Download/Full Text
An Open Access version of this item is not available due to the copyright policy of the publisher.
Keywords: Diagnostic radiology, Observer performance, Lung neoplasm, Cancer screening, Multidetector computed tomography, PULMONARY NODULES, HELICAL CT, SPIRAL CT, GENERAL-POPULATION, TRIAL, IMAGES, RECRUITMENT, PREVALENCE, DIAGNOSIS, NELSON, Journal Article, Multicenter Study, Observational Study, Research Support, Non-U.S. Gov't
ISSN: 0938-7994
Publisher: Springer Verlag
(Peer reviewed)