Literature DB >> 22695060

Measurement methods and algorithms for the management of solid nodules.

Arjun Nair1, David R Baldwin, John K Field, David M Hansell, Anand Devaraj.   

Abstract

The increased detection of incidental small pulmonary nodules on multidetector computed tomography has driven attempts to refine the characterization and management of such nodules. A variety of methods have been developed to measure the size and biological activity of nodules to help define their nature, but these have limitations. Several clinical trials have assessed the efficacy of low-dose computed tomography screening for lung cancer and offer some insights into these limitations; however, they also provide evidence that refines existing nodule management strategies. This article reviews the size-based and functional measurement methods that can be used to predict the likelihood of malignancy in noncalcified solid pulmonary nodules and discusses their incorporation into existing algorithms for nodule management. The issue of multiple nodules and the optimum frequency and duration of follow-up are explored.

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Year:  2012        PMID: 22695060     DOI: 10.1097/RTI.0b013e31824f83e1

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  6 in total

Review 1.  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

2.  Lung cancer screening: tell me more about post-test risk.

Authors:  Mario Silva; Gianluca Milanese; Ugo Pastorino; Nicola Sverzellati
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

3.  Volumetric assessment of solid pulmonary nodules on ultralow-dose CT: a phantom study.

Authors:  Matthias Eberhard; Daniel Stocker; Gianluca Milanese; Katharina Martini; Thi Dan Linh Nguyen-Kim; Moritz C Wurnig; Thomas Frauenfelder; Stephan Baumueller
Journal:  J Thorac Dis       Date:  2019-08       Impact factor: 2.895

4.  External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Authors:  David R Baldwin; Jennifer Gustafson; Lyndsey Pickup; Carlos Arteta; Petr Novotny; Jerome Declerck; Timor Kadir; Catarina Figueiras; Albert Sterba; Alan Exell; Vaclav Potesil; Paul Holland; Hazel Spence; Alison Clubley; Emma O'Dowd; Matthew Clark; Victoria Ashford-Turner; Matthew Ej Callister; Fergus V Gleeson
Journal:  Thorax       Date:  2020-03-05       Impact factor: 9.139

5.  Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules.

Authors:  Pierre P Massion; Sanja Antic; Sarim Ather; Carlos Arteta; Jan Brabec; Heidi Chen; Jerome Declerck; David Dufek; William Hickes; Timor Kadir; Jonas Kunst; Bennett A Landman; Reginald F Munden; Petr Novotny; Heiko Peschl; Lyndsey C Pickup; Catarina Santos; Gary T Smith; Ambika Talwar; Fergus Gleeson
Journal:  Am J Respir Crit Care Med       Date:  2020-07-15       Impact factor: 21.405

Review 6.  The promises and challenges of early non-small cell lung cancer detection: patient perceptions, low-dose CT screening, bronchoscopy and biomarkers.

Authors:  Lukas Kalinke; Ricky Thakrar; Sam M Janes
Journal:  Mol Oncol       Date:  2020-12-14       Impact factor: 6.603

  6 in total

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