Literature DB >> 22447104

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

Ayumu Funaki1, Masaki Ohkubo, Shinichi Wada, Kohei Murao, Toru Matsumoto, Shinji Niizuma.   

Abstract

With the wide dissemination of computed tomography (CT) screening for lung cancer, measuring the nodule volume accurately with computer-aided volumetry software is increasingly important. Many studies for determining the accuracy of volumetry software have been performed using a phantom with artificial nodules. These phantom studies are limited, however, in their ability to reproduce the nodules both accurately and in the variety of sizes and densities required. Therefore, we propose a new approach of using computer-simulated nodules based on the point spread function measured in a CT system. The validity of the proposed method was confirmed by the excellent agreement obtained between computer-simulated nodules and phantom nodules regarding the volume measurements. A practical clinical evaluation of the accuracy of volumetry software was achieved by adding simulated nodules onto clinical lung images, including noise and artifacts. The tested volumetry software was revealed to be accurate within an error of 20 % for nodules >5 mm and with the difference between nodule density and background (lung) (CT value) being 400-600 HU. Such a detailed analysis can provide clinically useful information on the use of volumetry software in CT screening for lung cancer. We concluded that the proposed method is effective for evaluating the performance of computer-aided volumetry software.

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Year:  2012        PMID: 22447104     DOI: 10.1007/s12194-012-0150-9

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  29 in total

1.  Accuracy of CT-based thickness measurement of thin structures: modeling of limited spatial resolution in all three dimensions.

Authors:  Sven Prevrhal; Julia C Fox; John A Shepherd; Harry K Genant
Journal:  Med Phys       Date:  2003-01       Impact factor: 4.071

2.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility.

Authors:  Dag Wormanns; Gerhard Kohl; Ernst Klotz; Anke Marheine; Florian Beyer; Walter Heindel; Stefan Diederich
Journal:  Eur Radiol       Date:  2003-11-13       Impact factor: 5.315

Review 3.  Overdiagnosis in cancer.

Authors:  H Gilbert Welch; William C Black
Journal:  J Natl Cancer Inst       Date:  2010-04-22       Impact factor: 13.506

4.  Volume-doubling time of pulmonary nodules with ground glass opacity at multidetector CT: Assessment with computer-aided three-dimensional volumetry.

Authors:  Seitaro Oda; Kazuo Awai; Kohei Murao; Akio Ozawa; Daisuke Utsunomiya; Yumi Yanaga; Koichi Kawanaka; Yasuyuki Yamashita
Journal:  Acad Radiol       Date:  2011-01       Impact factor: 3.173

5.  An effective method to verify line and point spread functions measured in computed tomography.

Authors:  Masaki Ohkubo; Sinichi Wada; Toru Matsumoto; Kanae Nishizawa
Journal:  Med Phys       Date:  2006-08       Impact factor: 4.071

6.  Five-year lung cancer screening experience: CT appearance, growth rate, location, and histologic features of 61 lung cancers.

Authors:  Rebecca M Lindell; Thomas E Hartman; Stephen J Swensen; James R Jett; David E Midthun; Henry D Tazelaar; Jayawant N Mandrekar
Journal:  Radiology       Date:  2007-02       Impact factor: 11.105

7.  Imprecision in automated volume measurements of pulmonary nodules and its effect on the level of uncertainty in volume doubling time estimation.

Authors:  Paul J Nietert; James G Ravenel; William M Leue; James V Miller; Katherine K Taylor; Elizabeth S Garrett-Mayer; Gerard A Silvestri
Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

8.  Determination of point spread function in computed tomography accompanied with verification.

Authors:  Masaki Ohkubo; Shinichi Wada; Satoshi Ida; Masayuki Kunii; Akihiro Kayugawa; Toru Matsumoto; Kanae Nishizawa; Kohei Murao
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

Review 9.  Computer-aided detection and automated CT volumetry of pulmonary nodules.

Authors:  Katharina Marten; Christoph Engelke
Journal:  Eur Radiol       Date:  2006-09-20       Impact factor: 5.315

10.  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

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  3 in total

1.  A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.

Authors:  Hajime Kobayashi; Masaki Ohkubo; Akihiro Narita; Janaka C Marasinghe; Kohei Murao; Toru Matsumoto; Shusuke Sone; Shinichi Wada
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

2.  Observer-independent nodule-detectability index for low-dose lung cancer screening CT: a pilot study.

Authors:  Masaki Ohkubo; Shinichi Wada; Satoshi Kanai; Kazuhiro Ishikawa; Janaka C Marasinghe; Toru Matsumoto
Journal:  Radiol Phys Technol       Date:  2013-06-09

3.  Effect of the high-pitch mode in dual-source computed tomography on the accuracy of three-dimensional volumetry of solid pulmonary nodules: a phantom study.

Authors:  Sung Ho Hwang; Yu-Whan Oh; Soo-Youn Ham; Eun-Young Kang; Ki Yeol Lee
Journal:  Korean J Radiol       Date:  2015-05-13       Impact factor: 3.500

  3 in total

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