Literature DB >> 18359124

How to deal with incidentally detected pulmonary nodules less than 10mm in size on CT in a healthy person.

Susan C van't Westeinde1, Harry J de Koning, Dong-Ming Xu, Henk C Hoogsteden, Rob J van Klaveren.   

Abstract

The high frequency of non-calcified pulmonary nodules (NCN) <10mm incidentally detected on a multi-detector CT (MDCT) of the chest raises the question of how clinicians and radiologists should deal with these nodules. Management algorithms for solitary pulmonary nodules >10mm do not carry across to sub-centimeter lesions. Purpose of this review is to provide a 10-step approach for routinely detected sub-centimeter NCN on a MDCT in healthy persons in order to be able to make an optimal discrimination between benign and malignant NCNs. Recommendations are primarily based on individual cancer risk, the presence or absence of calcifications and nodule size. In nodules >4-5mm nodule consistency, margin and shape should be taken into account. Next steps in the nodule evaluation are the assessment of localization, nodule number, presence or absence of growth and volume doubling time. Growth is defined as a volume doubling time of 400 days or less, based on volumetry. For nodules <4mm, a follow-up CT at 12 months is recommended in high risk persons, whilst for low-risk persons no follow-up is needed. If no growth is observed at 12 months, no further follow-up is required. For solid, smooth or attached indeterminate NCN between 5 and 10mm we recommend an annual repeat scan, whilst for purely intra-parenchymal nodules a 3-month repeat scan should be made to assess growth. Growing lesions with a volume doubling time <400 days require further work-up and diagnosis, otherwise an annual repeat scan to assess growth is recommended.

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Year:  2008        PMID: 18359124     DOI: 10.1016/j.lungcan.2008.01.020

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  22 in total

Review 1.  [Characterization and management of incidentally detected solitary pulmonary nodules].

Authors:  C Menzel; O W Hamer
Journal:  Radiologe       Date:  2010-01       Impact factor: 0.635

2.  Comparison Between Radiological Semantic Features and Lung-RADS in Predicting Malignancy of Screen-Detected Lung Nodules in the National Lung Screening Trial.

Authors:  Qian Li; Yoganand Balagurunathan; Ying Liu; Jin Qi; Matthew B Schabath; Zhaoxiang Ye; Robert J Gillies
Journal:  Clin Lung Cancer       Date:  2017-10-13       Impact factor: 4.785

Review 3.  [Management of solid pulmonary nodules].

Authors:  F Poschenrieder; L Beyer; B Rehbock; S Diederich; D Wormanns; C Stroszczynski; O W Hamer
Journal:  Radiologe       Date:  2014-05       Impact factor: 0.635

Review 4.  Collateral findings during computed tomography scan for atrial fibrillation ablation: Let's take a look around.

Authors:  Francesco Perna; Michela Casella; Maria Lucia Narducci; Antonio Dello Russo; Gianluigi Bencardino; Gianluca Pontone; Gemma Pelargonio; Daniele Andreini; Nicola Vitulano; Francesca Pizzamiglio; Edoardo Conte; Filippo Crea; Claudio Tondo
Journal:  World J Cardiol       Date:  2016-04-26

5.  Intraoperative Molecular Imaging in Lung Cancer: The State of the Art and the Future.

Authors:  Stephan Rogalla; Sebastiaan C M Joosten; Israt S Alam; Sanjiv S Gambhir; Ophir Vermesh
Journal:  Mol Ther       Date:  2018-02-02       Impact factor: 11.454

6.  Prevalence and configuration of pulmonary nodules on multi-row CT in children without malignant diseases.

Authors:  Julius Renne; Christin Linderkamp; Frank Wacker; Lars-Daniel Berthold; Jürgen Weidemann
Journal:  Eur Radiol       Date:  2015-03-04       Impact factor: 5.315

7.  Developing of risk models for small solid and subsolid pulmonary nodules based on clinical and quantitative radiomics features.

Authors:  Rui Zhang; Huaiqiang Sun; Bojiang Chen; Renjie Xu; Weimin Li
Journal:  J Thorac Dis       Date:  2021-07       Impact factor: 2.895

8.  Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.

Authors:  Panayiotis Petousis; Simon X Han; Denise Aberle; Alex A T Bui
Journal:  Artif Intell Med       Date:  2016-07-27       Impact factor: 5.326

9.  Significance of pulmonary nodules in multi-detector computed tomography scan of noncancerous patients.

Authors:  Ali Toghiani; Atoosa Adibi; Arash Taghavi
Journal:  J Res Med Sci       Date:  2015-05       Impact factor: 1.852

Review 10.  A practical approach to radiological evaluation of CT lung cancer screening examinations.

Authors:  Xueqian Xie; Marjolein A Heuvelmans; Peter M A van Ooijen; Matthijs Oudkerk; Rozemarijn Vliegenthart
Journal:  Cancer Imaging       Date:  2013-09-23       Impact factor: 3.909

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