Literature DB >> 28983713

Baseline and annual repeat rounds of screening: implications for optimal regimens of screening.

Claudia I Henschke1, Mary Salvatore2, Matthew Cham2, Charles A Powell3, Larry DiFabrizio3, Raja Flores4, Andrew Kaufman4, Corey Eber2, Rowena Yip2, David F Yankelevitz2.   

Abstract

OBJECTIVES: Differences in results of baseline and subsequent annual repeat rounds provide important information for optimising the regimen of screening.
METHODS: A prospective cohort study of 65,374 was reviewed to examine the frequency/percentages of the largest noncalcified nodule (NCN), lung cancer cell types and Kaplan-Meier (K-M) survival rates, separately for baseline and annual rounds.
RESULTS: Of 65,374 baseline screenings, NCNs were identified in 28,279 (43.3%); lung cancer in 737 (1.1%). Of 74,482 annual repeat screenings, new NCNs were identified in 4959 (7%); lung cancer in 179 (0.24%). Only adenocarcinoma was diagnosed in subsolid NCNs. Percentages of lung cancers by cell type were significantly different (p < 0.0001) in the baseline round compared with annual rounds, reflecting length bias, as were the ratios, reflecting lead times. Long-term K-M survival rate was 100% for typical carcinoids and for adenocarcinomas manifesting as subsolid NCNs; 85% (95% CI 81-89%) for adenocarcinoma, 74% (95% CI 63-85%) for squamous cell, 48% (95% CI 34-62%) for small cell. The rank ordering by lead time was the same as the rank ordering by survival rates.
CONCLUSIONS: The significant differences in the frequency of NCNs and frequency and aggressiveness of diagnosed cancers in baseline and annual repeat need to be recognised for an optimal regimen of screening. KEY POINTS: • Lung cancer aggressiveness varies considerably by cell type and nodule consistency. • Kaplan-Meier survival rates varied by cell type between 100% and 48%. • The percentages of lung cancers by cell type in screening rounds reflect screening biases. • Rank ordering by cell type survival is consistent with that by lead times. • Empirical evidence provides critical information for the regimen of screening.

Entities:  

Keywords:  CT screening; Lead-time bias; Length bias; Solid nodules; Subsolid nodules

Mesh:

Year:  2017        PMID: 28983713     DOI: 10.1007/s00330-017-5029-z

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


  31 in total

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Authors:  Claudia I Henschke; David F Yankelevitz; James P Smith; Olli S Miettinen
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2.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
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4.  Lead time gained by diagnostic screening for breast cancer.

Authors:  G B Hutchison; S Shapiro
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5.  Lung cancers diagnosed at annual CT screening: volume doubling times.

Authors:  Claudia I Henschke; David F Yankelevitz; Rowena Yip; Anthony P Reeves; Ali Farooqi; Dongming Xu; James P Smith; Daniel M Libby; Mark W Pasmantier; Olli S Miettinen
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6.  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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7.  Definition of a positive test result in computed tomography screening for lung cancer: a cohort study.

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Review 9.  Turning gray: the natural history of lung cancer over time.

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10.  UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

Authors:  J K Field; S W Duffy; D R Baldwin; D K Whynes; A Devaraj; K E Brain; T Eisen; J Gosney; B A Green; J A Holemans; T Kavanagh; K M Kerr; M Ledson; K J Lifford; F E McRonald; A Nair; R D Page; M K B Parmar; D M Rassl; R C Rintoul; N J Screaton; N J Wald; D Weller; P R Williamson; G Yadegarfar; D M Hansell
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Authors:  Giulia Veronesi; David R Baldwin; Claudia I Henschke; Simone Ghislandi; Sergio Iavicoli; Matthijs Oudkerk; Harry J De Koning; Joseph Shemesh; John K Field; Javier J Zulueta; Denis Horgan; Lucia Fiestas Navarrete; Maurizio Valentino Infante; Pierluigi Novellis; Rachael L Murray; Nir Peled; Cristiano Rampinelli; Gaetano Rocco; Witold Rzyman; Giorgio Vittorio Scagliotti; Martin C Tammemagi; Luca Bertolaccini; Natthaya Triphuridet; Rowena Yip; Alexia Rossi; Suresh Senan; Giuseppe Ferrante; Kate Brain; Carlijn van der Aalst; Lorenzo Bonomo; Dario Consonni; Jan P Van Meerbeeck; Patrick Maisonneuve; Silvia Novello; Anand Devaraj; Zaigham Saghir; Giuseppe Pelosi
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7.  Associations of systemic inflammation markers with identification of pulmonary nodule and incident lung cancer in Chinese population.

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8.  The growth feature and its diagnostic value for benign and malignant pulmonary nodules met in routine clinical practice.

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9.  The Regimen of Computed Tomography Screening for Lung Cancer: Lessons Learned Over 25 Years From the International Early Lung Cancer Action Program.

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  9 in total

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