Literature DB >> 22929331

Pulmonary perifissural nodules on CT scans: rapid growth is not a predictor of malignancy.

Bartjan de Hoop1, Bram van Ginneken, Hester Gietema, Mathias Prokop.   

Abstract

PURPOSE: To assess the prevalence, natural course, and malignancy rate of perifissural nodules (PFNs) in smokers participating in a lung cancer screening trial.
MATERIALS AND METHODS: As part of the ethics-committee approved Dutch-Belgian Randomised Lung Cancer Multi-Slice Screening Trial (NELSON), computed tomography (CT) was used to screen 2994 current or former heavy smokers, aged 50-74 years, for lung cancer. CT was repeated after 1 and 3 years, with additional follow-up CT scans if necessary. All baseline CT scans were screened for nodules. Nodule volume was determined with automated volumetric analysis. Homogeneous solid nodules, attached to a fissure with a lentiform or triangular shape, were classified as PFNs. Nodules were considered benign if they did not grow during the total follow-up period or were proved to be benign in a follow-up by a pulmonologist. Prevalence, growth, and malignancy rate of PFNs were assessed.
RESULTS: At baseline screening, 4026 nodules were detected in 1729 participants, and 19.7% (794 of 4026) of the nodules were classified as PFNs. The mean size of the PFNs was 4.4 mm (range: 2.8-10.6 mm) and the mean volume was 43 mm3 (range: 13-405 mm3). None of the PFNs were found to be malignant during follow-up. Between baseline and the first follow-up CT scan, 15.5% (123 of 794) were found to have grown, and 8.3% (66 of 794) had a volume doubling time of less than 400 days. One PFN was resected and proved to be a lymph node.
CONCLUSION: PFNs are frequently found at CT scans for lung cancer. They can show growth rates in the range of malignant nodules, but none of the PFNs in the present study turned out to be malignant. Recognition of PFNs can reduce the number of follow-up examinations required for the workup of suspicious nodules. © RSNA, 2012

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Mesh:

Year:  2012        PMID: 22929331     DOI: 10.1148/radiol.12112351

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  38 in total

1.  The impact of radiologists' expertise on screen results decisions in a CT lung cancer screening trial.

Authors:  Marjolein A Heuvelmans; Matthijs Oudkerk; Pim A de Jong; Willem P Mali; Harry J M Groen; Rozemarijn Vliegenthart
Journal:  Eur Radiol       Date:  2014-11-04       Impact factor: 5.315

2.  Return of the pulmonary nodule: the radiologist's key role in implementing the 2015 BTS guidelines on the investigation and management of pulmonary nodules.

Authors:  Richard N J Graham; David R Baldwin; Matthew E J Callister; Fergus V Gleeson
Journal:  Br J Radiol       Date:  2016-01-19       Impact factor: 3.039

3.  [Radiological evaluation of incidental pulmonary nodules].

Authors:  H Prosch; C Schaefer-Prokop
Journal:  Radiologe       Date:  2013-07       Impact factor: 0.635

4.  Optimizing lung cancer screening: nodule size, volume doubling time, morphology and evaluation of other diseases.

Authors:  Firdaus A A Mohamed Hoesein; Pim A de Jong; Onno M Mets
Journal:  Ann Transl Med       Date:  2015-02

5.  The Puzzle of the Perifissural Nodule.

Authors:  Charles S White; Geoffrey D Rubin
Journal:  Radiol Cardiothorac Imaging       Date:  2020-08-27

Review 6.  Management of incidental lung nodules <8 mm in diameter.

Authors:  Marcelo Sánchez; Mariana Benegas; Ivan Vollmer
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

7.  Computerized segmentation of pulmonary nodules depicted in CT examinations using freehand sketches.

Authors:  Yongqian Qiang; Qiuping Wang; Guiping Xu; Hongxia Ma; Lei Deng; Lei Zhang; Jiantao Pu; Youmin Guo
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

8.  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

Review 9.  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

10.  Lung cancer screening with low-dose computed tomography.

Authors:  Caroline Chiles
Journal:  Radiol Clin North Am       Date:  2014-01       Impact factor: 2.303

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