Literature DB >> 23348977

Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial.

Nanda Horeweg1, Carlijn M van der Aalst, Erik Thunnissen, Kristiaan Nackaerts, Carla Weenink, Harry J M Groen, Jan-Willem J Lammers, Joachim G Aerts, Ernst T Scholten, Joost van Rosmalen, Willem Mali, Matthijs Oudkerk, Harry J de Koning.   

Abstract

RATIONALE: The NELSON (Nederlands Leuvens Longkanker Screenings Onderzoek) trial is, with 15,822 participants, the largest European lung cancer computer tomography screening trial. A volumetry-based screening strategy, stringent criteria for a positive screening, and an increasing length of screening interval are particular features of the NELSON trial.
OBJECTIVES: To determine the effect of stringent referral criteria and increasing screening interval on the characteristics of screen-detected lung cancers, and to compare this across screening rounds, between sexes, and with other screening trials.
METHODS: All NELSON participants with screen-detected lung cancer in the first three rounds were included. Lung cancer stage at diagnosis, histological subtype, and tumor localization were compared between the screening rounds, the sexes, and with other screening trials.
MEASUREMENTS AND MAIN RESULTS: In the first three screening rounds, 200 participants were diagnosed with 209 lung cancers. Of these lung cancers, 70.8% were diagnosed at stage I and 8.1% at stage IIIB-IV, and 51.2% were adenocarcinomas. There was no significant difference in cancer stage, histology, or tumor localization across the screening rounds. Women were diagnosed at a significantly more favorable cancer stage than men. Compared with other trials, the screen-detected lung cancers of the NELSON trial were relatively more often diagnosed at stage I and less often at stage IIIB-IV.
CONCLUSIONS: Despite stringent criteria for a positive screening, an increasing length of screening interval, and few female participants, the screening strategy of the NELSON trial resulted in a favorable cancer stage distribution at diagnosis, which is essential for the effectiveness of our screening strategy. Clinical trial registered with www.trialregister.nl (ISRCTN63545820).

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Year:  2013        PMID: 23348977     DOI: 10.1164/rccm.201209-1651OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  69 in total

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Review 3.  Small pulmonary nodules in baseline and incidence screening rounds of low-dose CT lung cancer screening.

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Review 5.  Efficacy of low-dose computed tomography screening for lung cancer: the current state of evidence of mortality reduction.

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7.  Reduced Expiratory Flow Rate among Heavy Smokers Increases Lung Cancer Risk. Results from the National Lung Screening Trial-American College of Radiology Imaging Network Cohort.

Authors:  Raewyn J Hopkins; Fenghai Duan; Caroline Chiles; Erin M Greco; Greg D Gamble; Denise Aberle; Robert P Young
Journal:  Ann Am Thorac Soc       Date:  2017-03

Review 8.  Implementing lung cancer screening in the real world: opportunity, challenges and solutions.

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9.  Cardiac valve calcifications on low-dose unenhanced ungated chest computed tomography: inter-observer and inter-examination reliability, agreement and variability.

Authors:  Robbert W van Hamersvelt; Martin J Willemink; Richard A P Takx; Anouk L M Eikendal; Ricardo P J Budde; Tim Leiner; Christian P Mol; Ivana Isgum; Pim A de Jong
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

Review 10.  Risk factors assessment and risk prediction models in lung cancer screening candidates.

Authors:  Mariusz Adamek; Ewa Wachuła; Sylwia Szabłowska-Siwik; Agnieszka Boratyn-Nowicka; Damian Czyżewski
Journal:  Ann Transl Med       Date:  2016-04
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