Literature DB >> 28331822

Risk assessment in relation to the detection of small pulmonary nodules.

John K Field1, Michael W Marcus1, Matthijs Oudkerk2.   

Abstract

The National Lung Cancer Screening trial (NLST) demonstrated that individuals assigned to the LDCT screening arm had a 20% lower mortality than those who were assigned to the conventional chest radiography. The NLST was thoroughly analyzed by the US Preventive Task Force on CT Screening and they recommended that lung cancer screening should be implemented. A number of other countries have also recommended implementation, whilst others are awaiting the outcome of the NELSON Trial. However, recommendations for the management of CT screen detected nodules have only recently had any clarity. The management of CT detected nodules in the NLST was based on the identification and reporting of 4 mm diameter nodules found on the CT screens but there was no NLST radiology protocol in place for the management of nodules. The use of volumetric analysis is not routinely used in the USA and there is still a reliance on utilising the CT nodule diameter as the management parameter. The first pulmonary risk model was developed by the Canadians, utilising data sets from the Pan-Canadian Early detection of Lung cancer (PanCan) and validated in the chemoprevention trial dataset at the British Columbian Agency. This Canadian model, known as the Brock Model, is currently available and has been integrated into the British Thoracic Society guidelines on the management of pulmonary nodules. The American College of Radiology setup a Lung Cancer Screening Committee subgroup on Lung-RADS, to standardize lung cancer screening CT reporting and provide management recommendations. However, it has been recommended that the Lung-RADS system should be revised as the system as it has never been studied in a prospective fashion. The NELSON trial introduced a third screening test, the "indeterminate" screening test result, this was done with the aim to reduce the false-positives CT screening results and also utilized by the UKLS trial successfully. On comparing the radiological CT screen volumetric and diameter based protocols in the NELSON trial, the sensitivity and negative predictive value appeared to be comparable, however a higher specificity and positive predictive value was found for the volume-based protocols, thus confirming the advantage of utilising the volumetric approach over diameter The British Thoracic Society (BTS) has undertaken an in-depth piece of work developing guidelines on the management of pulmonary nodules, utilising the wealth of data published by the NELSON team and support the use of volumetric analysis for the management of pulmonary nodules.

Entities:  

Keywords:  Lung cancer; management; pulmonary nodules; risk prediction

Year:  2017        PMID: 28331822      PMCID: PMC5344838          DOI: 10.21037/tlcr.2017.02.05

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  23 in total

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

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3.  British Thoracic Society guidelines for the investigation and management of pulmonary nodules.

Authors:  M E J Callister; D R Baldwin; A R Akram; S Barnard; P Cane; J Draffan; K Franks; F Gleeson; R Graham; P Malhotra; M Prokop; K Rodger; M Subesinghe; D Waller; I Woolhouse
Journal:  Thorax       Date:  2015-08       Impact factor: 9.139

4.  Probability of cancer in pulmonary nodules detected on first screening CT.

Authors:  Annette McWilliams; Martin C Tammemagi; John R Mayo; Heidi Roberts; Geoffrey Liu; Kam Soghrati; Kazuhiro Yasufuku; Simon Martel; Francis Laberge; Michel Gingras; Sukhinder Atkar-Khattra; Christine D Berg; Ken Evans; Richard Finley; John Yee; John English; Paola Nasute; John Goffin; Serge Puksa; Lori Stewart; Scott Tsai; Michael R Johnston; Daria Manos; Garth Nicholas; Glenwood D Goss; Jean M Seely; Kayvan Amjadi; Alain Tremblay; Paul Burrowes; Paul MacEachern; Rick Bhatia; Ming-Sound Tsao; Stephen Lam
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

5.  Early Lung Cancer Action Project: overall design and findings from baseline screening.

Authors:  C I Henschke; D I McCauley; D F Yankelevitz; D P Naidich; G McGuinness; O S Miettinen; D M Libby; M W Pasmantier; J Koizumi; N K Altorki; J P Smith
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8.  Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening.

Authors:  Nanda Horeweg; Joost van Rosmalen; Marjolein A Heuvelmans; Carlijn M van der Aalst; Rozemarijn Vliegenthart; Ernst Th Scholten; Kevin ten Haaf; Kristiaan Nackaerts; Jan-Willem J Lammers; Carla Weenink; Harry J Groen; Peter van Ooijen; Pim A de Jong; Geertruida H de Bock; Willem Mali; Harry J de Koning; Matthijs Oudkerk
Journal:  Lancet Oncol       Date:  2014-10-01       Impact factor: 41.316

9.  The UK Lung Cancer Screening Trial: a pilot randomised controlled trial of low-dose computed tomography screening for the early detection of lung cancer.

Authors:  John K Field; Stephen W Duffy; David R Baldwin; Kate E Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M Kerr; Martin Ledson; Kate J Lifford; Fiona E McRonald; Arjun Nair; Richard D Page; Mahesh Kb Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J Wald; David Weller; David K Whynes; Paula R Williamson; Ghasem Yadegarfar; David M Hansell
Journal:  Health Technol Assess       Date:  2016-05       Impact factor: 4.014

Review 10.  CT screening for lung cancer: countdown to implementation.

Authors:  John K Field; David M Hansell; Stephen W Duffy; David R Baldwin
Journal:  Lancet Oncol       Date:  2013-12       Impact factor: 41.316

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2.  Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study.

Authors:  Yihui Du; Yingru Zhao; Grigory Sidorenkov; Geertruida H de Bock; Xiaonan Cui; Yubei Huang; Monique D Dorrius; Mieneke Rook; Harry J M Groen; Marjolein A Heuvelmans; Rozemarijn Vliegenthart; Kexin Chen; Xueqian Xie; Shiyuan Liu; Matthijs Oudkerk; Zhaoxiang Ye
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