Literature DB >> 19380692

Pulmonary nodules: volume repeatability at multidetector CT lung cancer screening.

Alfonso Marchianò1, Elisa Calabrò, Enrico Civelli, Giuseppe Di Tolla, Laura Francesca Frigerio, Carlo Morosi, Francesco Tafaro, Elena Ferri, Nicola Sverzellati, Tiziana Camerini, Luigi Mariani, Salvatore Lo Vullo, Ugo Pastorino.   

Abstract

PURPOSE: To assess in vivo volumetric repeatability of an automated software algorithm in pulmonary nodules detected during a lung cancer screening trial.
MATERIALS AND METHODS: This study was approved by an institutional review board. Written informed consent was obtained from all participants. Data were collected from the Multicentric Italian Lung Detection project, a randomized controlled lung cancer screening trial. The first 1236 consecutive baseline computed tomographic (CT) studies performed at the Istituto Nazionale Tumori of Milan were evaluated. Among the enrolled participants, those who underwent repeat low-dose CT after 3 months and had at least one indeterminate nodule with a volume of more than 60 mm(3) (diameter of 4.8 mm or greater) were considered. Nonsolid, part-solid, and pleural-based nodules were excluded from this study. A descriptive analysis was performed by calculating means and standard deviations of nodule volumes at three assessment times (at baseline and 3 and 12 months later). The volume measurement repeatability was determined by using the approach described by Bland and Altman.
RESULTS: One hundred one subjects (70 men, 31 women; mean age, 58 years) with 233 eligible nodules (mean volume, 98.3 mm(3); range, 5-869 mm(3)) were identified. The 95% confidence interval for difference in measured volumes was in the range of +/-27%. About 70% of measurements had a relative difference in nodule volume of less than 10%. No malignant lesions were registered during the follow-up of these subjects.
CONCLUSION: Semiautomatic volumetry is sufficiently accurate and repeatable and may be useful in assisting with lung nodule management in a lung cancer screening program.

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Year:  2009        PMID: 19380692     DOI: 10.1148/radiol.2513081313

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


  26 in total

1.  Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry.

Authors:  Ayumu Funaki; Masaki Ohkubo; Shinichi Wada; Kohei Murao; Toru Matsumoto; Shinji Niizuma
Journal:  Radiol Phys Technol       Date:  2012-03-25

Review 2.  Screening for lung cancer using low-dose spiral CT: 10 years later, state of the art.

Authors:  M Zompatori; M Mascalchi; F Ciccarese; N Sverzellati; U Pastorino
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

3.  CT tumor volume measurement in advanced non-small-cell lung cancer: Performance characteristics of an emerging clinical tool.

Authors:  Mizuki Nishino; Mengye Guo; David M Jackman; Pamela J DiPiro; Jeffrey T Yap; Tak K Ho; Hiroto Hatabu; Pasi A Jänne; Annick D Van den Abbeele; Bruce E Johnson
Journal:  Acad Radiol       Date:  2010-10-30       Impact factor: 3.173

4.  Inter- and intrascanner variability of pulmonary nodule volumetry on low-dose 64-row CT: an anthropomorphic phantom study.

Authors:  X Xie; M J Willemink; Y Zhao; P A de Jong; P M A van Ooijen; M Oudkerk; M J W Greuter; R Vliegenthart
Journal:  Br J Radiol       Date:  2013-07-24       Impact factor: 3.039

Review 5.  European and North American lung cancer screening experience and implications for pulmonary nodule management.

Authors:  Arjun Nair; David M Hansell
Journal:  Eur Radiol       Date:  2011-08-10       Impact factor: 5.315

6.  Computer-aided diagnosis systems for lung cancer: challenges and methodologies.

Authors:  Ayman El-Baz; Garth M Beache; Georgy Gimel'farb; Kenji Suzuki; Kazunori Okada; Ahmed Elnakib; Ahmed Soliman; Behnoush Abdollahi
Journal:  Int J Biomed Imaging       Date:  2013-01-29

Review 7.  Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.

Authors:  Mario Silva; Gianluca Milanese; Valeria Seletti; Alarico Ariani; Nicola Sverzellati
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

Review 8.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

9.  Lung nodule volumetry: segmentation algorithms within the same software package cannot be used interchangeably.

Authors:  H Ashraf; B de Hoop; S B Shaker; A Dirksen; K S Bach; H Hansen; M Prokop; J H Pedersen
Journal:  Eur Radiol       Date:  2010-03-20       Impact factor: 5.315

Review 10.  Lung cancer screening.

Authors:  U Pastorino
Journal:  Br J Cancer       Date:  2010-04-27       Impact factor: 7.640

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