Literature DB >> 28898131

Lung Cancer Risk Associated With New Solid Nodules in the National Lung Screening Trial.

Paul F Pinsky1, David S Gierada2, P Hrudaya Nath3, Reginald Munden4.   

Abstract

OBJECTIVE: As low-dose CT (LDCT) lung cancer screening moves into routine clinical practice, evaluation of nodules identified as new becomes critical. We examine the frequency and clinical outcomes of new lung nodules reported at the two postbaseline annual screening examinations (hereafter referred to as postbaseline time 1 [T1] and time 2 [T2]), compared with those detected at baseline in the National Lung Screening Trial.
MATERIALS AND METHODS: Radiologists classified nodules detected at T1 and T2 as new or preexisting on the basis of comparison with findings from prior LDCT screening examinations. Subjects were tracked for lung cancer incidence and mortality. We examined the incidence of new nodules and their associated lung cancer risk by nodule size (i.e., mean diameter).
RESULTS: A total of 25,002 subjects underwent the baseline LDCT screening examination and either a T1 or T2 LDCT screen. At both T1 and T2, 2.6% of subjects had new solid nodules. Of the new solid nodules, 53.0% were < 6 mm, 29.5% were 6 to < 10 mm, and 17.1% were ≥ 10 mm. Lung cancer risk (defined as diagnosis within 2 years of baseline) increased from 1.1% for nodules < 4 mm to 24.0% for those ≥ 20 mm. Compared with solid nodules detected at baseline, the cancer risk was higher for new solid nodules that were 4 to < 6 mm (p < 0.001) and 6 to < 8 mm (p < 0.001) but lower for new nodules ≥ 20 mm (p = 0.03). Cancers associated with new nodules had significantly poorer survival than did those associated with baseline nodules and were significantly less likely to be adenocarcinoma.
CONCLUSION: The incidence of new nodules was 2-3% annually, with the cancer risk increasing by nodule size. New nodules may convey differential lung cancer risks by size, compared with baseline nodules.

Entities:  

Keywords:  low-dose CT; lung cancer; new nodules; screening

Mesh:

Year:  2017        PMID: 28898131     DOI: 10.2214/AJR.17.18252

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

Review 1.  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

2.  Lung cancer screening primer: Key information for primary care providers.

Authors:  Anna N Wilkinson; Stephen Lam
Journal:  Can Fam Physician       Date:  2021-11       Impact factor: 3.275

3. 

Authors:  Anna N Wilkinson; Stephen Lam
Journal:  Can Fam Physician       Date:  2021-11       Impact factor: 3.275

4.  Understanding Patient and Clinical Stakeholder Perspectives to Improve Adherence to Lung Cancer Screening.

Authors:  Karen J Wernli; Leah Tuzzio; Sarah Brush; Kelly Ehrlich; Hongyuan Gao; Melissa L Anderson; Lorella Palazzo
Journal:  Perm J       Date:  2021-06-02

5.  Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

Authors:  Peng Huang; Cheng T Lin; Yuliang Li; Martin C Tammemagi; Malcolm V Brock; Sukhinder Atkar-Khattra; Yanxun Xu; Ping Hu; John R Mayo; Heidi Schmidt; Michel Gingras; Sergio Pasian; Lori Stewart; Scott Tsai; Jean M Seely; Daria Manos; Paul Burrowes; Rick Bhatia; Ming-Sound Tsao; Stephen Lam
Journal:  Lancet Digit Health       Date:  2019-10-17

6.  Process improvement for follow-up radiology report recommendations of lung nodules.

Authors:  Philip S Lim; Doron Schneider; Jonathan Sternlieb; Michel Taupin; Nicholas Sich; Joan Dian; Eileen Jameson; Bryan Frambes; Sharon Taylor
Journal:  BMJ Open Qual       Date:  2019-04-24

7.  Primary solid lung cancerous nodules with different sizes: computed tomography features and their variations.

Authors:  Zhi-Gang Chu; Yan Zhang; Wang-Jia Li; Qi Li; Yi-Neng Zheng; Fa-Jin Lv
Journal:  BMC Cancer       Date:  2019-11-07       Impact factor: 4.430

8.  Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans.

Authors:  Rajesh P Shah; Heather M Selby; Pritam Mukherjee; Shefali Verma; Peiyi Xie; Qinmei Xu; Millie Das; Sachin Malik; Olivier Gevaert; Sandy Napel
Journal:  JCO Clin Cancer Inform       Date:  2021-06

9.  Performance of lung cancer screening with low-dose CT in Gejiu, Yunnan: A population-based, screening cohort study.

Authors:  Meng-Na Wei; Zheng Su; Jian-Ning Wang; Maria J Gonzalez Mendez; Xiao-Yun Yu; Hao Liang; Qing-Hua Zhou; Ya-Guang Fan; You-Lin Qiao
Journal:  Thorac Cancer       Date:  2020-03-20       Impact factor: 3.500

Review 10.  [Progress of Lung Cancer Screening with Low Dose Helical Computed Tomography].

Authors:  Mengna Wei; Youlin Qiao
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-08-14
  10 in total

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