Literature DB >> 25187382

Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening.

Ernst Th Scholten1, Nanda Horeweg, Harry J de Koning, Rozemarijn Vliegenthart, Matthijs Oudkerk, Willem P Th M Mali, Pim A de Jong.   

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 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. KEY POINTS: • 22% of missed carcinomas originally presented as bulla wall thickening on CT. • 22% of missed carcinomas originally presented as endobronchial lesions on CT. • All malignant endobronchial lesions presented as interval carcinomas. • In the NELSON trial subsolid nodules were not a source of missed carcinomas.

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Year:  2014        PMID: 25187382     DOI: 10.1007/s00330-014-3394-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

1.  Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique.

Authors:  Y Lee; T Hara; H Fujita; S Itoh; T Ishigaki
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2.  Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.

Authors:  Qiang Li; Feng Li; Kunio Doi
Journal:  Acad Radiol       Date:  2008-02       Impact factor: 3.173

3.  Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial.

Authors:  Nanda Horeweg; Carlijn M van der Aalst; Rozemarijn Vliegenthart; Yingru Zhao; Xueqian Xie; Ernst Th Scholten; Willem Mali; Erik Thunnissen; Carla Weenink; Harry J M Groen; Jan-Willem J Lammers; Kristiaan Nackaerts; Joost van Rosmalen; Matthijs Oudkerk; Harry J de Koning
Journal:  Eur Respir J       Date:  2013-07-11       Impact factor: 16.671

4.  Virtual reality bronchoscopy simulation: a revolution in procedural training.

Authors:  H G Colt; S W Crawford; O Galbraith
Journal:  Chest       Date:  2001-10       Impact factor: 9.410

5.  Missed lung cancer on chest radiography and computed tomography.

Authors:  Mahmoudreza Fardanesh; Charles White
Journal:  Semin Ultrasound CT MR       Date:  2012-08       Impact factor: 1.875

6.  Lung cancer associated with cystic airspaces.

Authors:  Ali O Farooqi; Matt Cham; Lijuan Zhang; Mary Beth Beasley; John H M Austin; Albert Miller; Javier J Zulueta; Heidi Roberts; Cole Enser; Shang-Jyh Kao; M K Thorsen; James P Smith; Daniel M Libby; Rowena Yip; David F Yankelevitz; Claudia I Henschke
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7.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers.

Authors:  Stefan Diederich; Dag Wormanns; Michael Semik; Michael Thomas; Horst Lenzen; Nikolaus Roos; Walter Heindel
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

8.  Detection sensitivity of a commercial lung nodule CAD system in a series of pathologically proven lung cancers.

Authors:  Myrna C B Godoy; Peter L Cooperberg; Zeev V Maizlin; Ren Yuan; Annette McWilliams; Stephen Lam; John R Mayo
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9.  Design, recruitment and baseline results of the ITALUNG trial for lung cancer screening with low-dose CT.

Authors:  Andrea Lopes Pegna; Giulia Picozzi; Mario Mascalchi; Francesca Maria Carozzi; Laura Carrozzi; Camilla Comin; Cheti Spinelli; Fabio Falaschi; Michela Grazzini; Florio Innocenti; Cristina Ronchi; Eugenio Paci
Journal:  Lung Cancer       Date:  2008-08-23       Impact factor: 5.705

10.  Lung cancer screening with spiral CT: baseline results of the randomized DANTE trial.

Authors:  Maurizio Infante; Fabio Romano Lutman; Silvio Cavuto; Giorgio Brambilla; Giuseppe Chiesa; Eliseo Passera; Enzo Angeli; Maurizio Chiarenza; Giuseppe Aranzulla; Umberto Cariboni; Marco Alloisio; Matteo Incarbone; Alberto Testori; Anna Destro; Federico Cappuzzo; Massimo Roncalli; Armando Santoro; Gianluigi Ravasi
Journal:  Lung Cancer       Date:  2007-10-23       Impact factor: 5.705

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  16 in total

1.  Semi-automated volumetric analysis in the NELSON trial for lung cancer screening: is there room for diagnostic experience yet?

Authors:  Giuseppe Bronte; Christian Rolfo
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

2.  Low-dose CT screening in an Asian population with diverse risk for lung cancer: A retrospective cohort study.

Authors:  Chin A Yi; Kyung Soo Lee; Myung-Hee Shin; Yun Yung Cho; Yoon-Ho Choi; O Jung Kwon; Kyung Eun Shin
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

3.  Missed cancers in lung cancer screening--more than meets the eye.

Authors:  A Devaraj
Journal:  Eur Radiol       Date:  2014-09-05       Impact factor: 5.315

Review 4.  Lung cancer screening: nodule identification and characterization.

Authors:  Ioannis Vlahos; Konstantinos Stefanidis; Sarah Sheard; Arjun Nair; Charles Sayer; Joanne Moser
Journal:  Transl Lung Cancer Res       Date:  2018-06

Review 5.  Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study.

Authors:  David S Gierada; William C Black; Caroline Chiles; Paul F Pinsky; David F Yankelevitz
Journal:  Radiol Imaging Cancer       Date:  2020-03-27

6.  Interval lung cancer after a negative CT screening examination: CT findings and outcomes in National Lung Screening Trial participants.

Authors:  David S Gierada; Paul F Pinsky; Fenghai Duan; Kavita Garg; Eric M Hart; Ella A Kazerooni; Hrudaya Nath; Jubal R Watts; Denise R Aberle
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

7.  Ten-year results of the Multicentric Italian Lung Detection trial demonstrate the safety and efficacy of biennial lung cancer screening.

Authors:  U Pastorino; N Sverzellati; S Sestini; M Silva; F Sabia; M Boeri; A Cantarutti; G Sozzi; G Corrao; A Marchianò
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8.  Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

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Journal:  Eur Radiol       Date:  2022-01-21       Impact factor: 5.315

Review 9.  Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology.

Authors:  Annemie Snoeckx; Pieter Reyntiens; Damien Desbuquoit; Maarten J Spinhoven; Paul E Van Schil; Jan P van Meerbeeck; Paul M Parizel
Journal:  Insights Imaging       Date:  2017-11-15

Review 10.  Spectrum of early lung cancer presentation in low-dose screening CT: a pictorial review.

Authors:  Cristiano Rampinelli; Sonia Francesca Calloni; Marta Minotti; Massimo Bellomi
Journal:  Insights Imaging       Date:  2016-05-17
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