Literature DB >> 29650547

In vivo growth of 60 non-screening detected lung cancers: a computed tomography study.

Onno M Mets1, Kaman Chung2, Pieter Zanen3, Ernst T Scholten2, Wouter B Veldhuis1, Bram van Ginneken2, Mathias Prokop4, Cornelia M Schaefer-Prokop2,5, Pim A de Jong1.   

Abstract

Current pulmonary nodule management guidelines are based on nodule volume doubling time, which assumes exponential growth behaviour. However, this is a theory that has never been validated in vivo in the routine-care target population. This study evaluates growth patterns of untreated solid and subsolid lung cancers of various histologies in a non-screening setting.Growth behaviour of pathology-proven lung cancers from two academic centres that were imaged at least three times before diagnosis (n=60) was analysed using dedicated software. Random-intercept random-slope mixed-models analysis was applied to test which growth pattern most accurately described lung cancer growth. Individual growth curves were plotted per pathology subgroup and nodule type.We confirmed that growth in both subsolid and solid lung cancers is best explained by an exponential model. However, subsolid lesions generally progress slower than solid ones. Baseline lesion volume was not related to growth, indicating that smaller lesions do not grow slower compared to larger ones.By showing that lung cancer conforms to exponential growth we provide the first experimental basis in the routine-care setting for the assumption made in volume doubling time analysis.
Copyright ©ERS 2018.

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Year:  2018        PMID: 29650547     DOI: 10.1183/13993003.02183-2017

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  14 in total

Review 1.  On the growth rates of human malignant tumors: implications for medical decision making.

Authors:  S Friberg; S Mattson
Journal:  J Surg Oncol       Date:  1997-08       Impact factor: 3.454

2.  Lung lesion doubling times: values and variability based on method of volume determination.

Authors:  Leslie Eisenbud Quint; Joan Cheng; Matthew Schipper; Andrew C Chang; Gregory Kalemkerian
Journal:  Clin Radiol       Date:  2007-10-01       Impact factor: 2.350

Review 3.  Update in the evaluation of the solitary pulmonary nodule.

Authors:  Mylene T Truong; Jane P Ko; Santiago E Rossi; Ignacio Rossi; Chitra Viswanathan; John F Bruzzi; Edith M Marom; Jeremy J Erasmus
Journal:  Radiographics       Date:  2014-10       Impact factor: 5.333

4.  British Thoracic Society guidelines for the investigation and management of pulmonary nodules.

Authors:  M E J Callister; D R Baldwin; A R Akram; S Barnard; P Cane; J Draffan; K Franks; F Gleeson; R Graham; P Malhotra; M Prokop; K Rodger; M Subesinghe; D Waller; I Woolhouse
Journal:  Thorax       Date:  2015-08       Impact factor: 9.139

Review 5.  Spectrum of Subsolid Pulmonary Nodules and Overdiagnosis.

Authors:  Barry D Hutchinson; Andre L Moreira; Jane P Ko
Journal:  Semin Roentgenol       Date:  2017-06-05       Impact factor: 0.800

Review 6.  Use of Volumetry for Lung Nodule Management: Theory and Practice.

Authors:  Anand Devaraj; Bram van Ginneken; Arjun Nair; David Baldwin
Journal:  Radiology       Date:  2017-09       Impact factor: 11.105

7.  Is Gompertzian or exponential kinetics a valid description of individual human cancer growth?

Authors:  M W Retsky; D E Swartzendruber; R H Wardwell; P D Bame
Journal:  Med Hypotheses       Date:  1990-10       Impact factor: 1.538

8.  5-year lung cancer screening experience: growth curves of 18 lung cancers compared to histologic type, CT attenuation, stage, survival, and size.

Authors:  Rebecca M Lindell; Thomas E Hartman; Stephen J Swensen; James R Jett; David E Midthun; Jayawant N Mandrekar
Journal:  Chest       Date:  2009-07-06       Impact factor: 9.410

9.  Lung CT Screening Reporting and Data System Speed and Accuracy Are Increased With the Use of a Semiautomated Computer Application.

Authors:  Toshimasa J Clark; Thomas F Flood; Suresh T Maximin; Peter B Sachs
Journal:  J Am Coll Radiol       Date:  2015-10-23       Impact factor: 5.532

10.  Growth pattern analysis of murine lung neoplasms by advanced semi-automated quantification of micro-CT images.

Authors:  Minxing Li; Artit Jirapatnakul; Alberto Biancardi; Mark L Riccio; Robert S Weiss; Anthony P Reeves
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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  4 in total

1.  Lung Cancer Stage Shift as a Result of COVID-19 Lockdowns in New York City, a Brief Report.

Authors:  Nathan Mynard; Ashish Saxena; Alexandra Mavracick; Jeffrey Port; Benjamin Lee; Sebron Harrison; Oliver Chow; Jonathan Villena-Vargas; Ronald Scheff; Giuseppe Giaccone; Nasser Altorki
Journal:  Clin Lung Cancer       Date:  2021-08-29       Impact factor: 4.840

2.  Similarities between pandemics and cancer in growth and risk models.

Authors:  Lode K J Vandamme; Ignace H J T de Hingh; Jorge Fonseca; Paulo R F Rocha
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.996

3.  Dynamic Observation of Lung Nodules on Chest CT Before Diagnosis of Early Lung Cancer.

Authors:  Qiaodan Du; Jia Peng; Xiuyu Wang; MingFang Ji; Yuting Liao; Binghang Tang
Journal:  Front Oncol       Date:  2022-03-09       Impact factor: 6.244

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

Authors:  Rui Zhang; Panwen Tian; Zhixin Qiu; Yiying Liang; Weimin Li
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 3.005

  4 in total

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