Literature DB >> 17206420

Accuracy of automated volumetry of pulmonary nodules across different multislice CT scanners.

Marco Das1, Julia Ley-Zaporozhan, H A Gietema, Andre Czech, Georg Mühlenbruch, Andreas H Mahnken, Markus Katoh, Annemarie Bakai, Marcos Salganicoff, Stefan Diederich, Mathias Prokop, Hans-Ulrich Kauczor, Rolf W Günther, Joachim E Wildberger.   

Abstract

The purpose of this study was to compare the accuracy of an automated volumetry software for phantom pulmonary nodules across various 16-slice multislice spiral CT (MSCT) scanners from different vendors. A lung phantom containing five different nodule categories (intraparenchymal, around a vessel, vessel attached, pleural, and attached to the pleura), with each category comprised of 7-9 nodules (total, n = 40) of varying sizes (diameter 3-10 mm; volume 6.62 mm(3)-525 mm(3)), was scanned with four different 16-slice MSCT scanners (Siemens, GE, Philips, Toshiba). Routine and low-dose chest protocols with thin and thick collimations were applied. The data from all scanners were used for further analysis using a dedicated prototype volumetry software. Absolute percentage volume errors (APE) were calculated and compared. The mean APE for all nodules was 8.4% (+/-7.7%) for data acquired with the 16-slice Siemens scanner, 14.3% (+/-11.1%) for the GE scanner, 9.7% (+/-9.6%) for the Philips scanner and 7.5% (+/-7.2%) for the Toshiba scanner, respectively. The lowest APEs were found within the diameter size range of 5-10 mm and volumes >66 mm(3). Nodule volumetry is accurate with a reasonable volume error in data from different scanner vendors. This may have an important impact for intraindividual follow-up studies.

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Year:  2007        PMID: 17206420     DOI: 10.1007/s00330-006-0562-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

1.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

2.  Small pulmonary nodules: volume measurement at chest CT--phantom study.

Authors:  Jane P Ko; Henry Rusinek; Erika L Jacobs; James S Babb; Margrit Betke; Georgeann McGuinness; David P Naidich
Journal:  Radiology       Date:  2003-09       Impact factor: 11.105

3.  Flat panel detector-based volumetric CT: prototype evaluation with volumetry of small artificial nodules in a pulmonary phantom.

Authors:  Katharina Marten; Matthias Funke; Christoph Engelke
Journal:  J Thorac Imaging       Date:  2004-07       Impact factor: 3.000

4.  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

5.  Early lung cancer action project: initial findings on repeat screenings.

Authors:  C I Henschke; D P Naidich; D F Yankelevitz; G McGuinness; D I McCauley; J P Smith; D Libby; M Pasmantier; M Vazquez; J Koizumi; D Flieder; N Altorki; O S Miettinen
Journal:  Cancer       Date:  2001-07-01       Impact factor: 6.860

6.  Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

Authors:  Heber MacMahon; John H M Austin; Gordon Gamsu; Christian J Herold; James R Jett; David P Naidich; Edward F Patz; Stephen J Swensen
Journal:  Radiology       Date:  2005-11       Impact factor: 11.105

Review 7.  Aspects of computer-aided detection (CAD) and volumetry of pulmonary nodules using multislice CT.

Authors:  R Wiemker; P Rogalla; T Blaffert; D Sifri; O Hay; E Shah; R Truyen; T Fleiter
Journal:  Br J Radiol       Date:  2005       Impact factor: 3.039

8.  Early Lung Cancer Action Project: overall design and findings from baseline screening.

Authors:  C I Henschke; D I McCauley; D F Yankelevitz; D P Naidich; G McGuinness; O S Miettinen; D M Libby; M W Pasmantier; J Koizumi; N K Altorki; J P Smith
Journal:  Lancet       Date:  1999-07-10       Impact factor: 79.321

9.  Screening for early lung cancer with low-dose spiral CT: prevalence in 817 asymptomatic smokers.

Authors:  Stefan Diederich; Dag Wormanns; Michael Semik; Michael Thomas; Horst Lenzen; Nikolaus Roos; Walter Heindel
Journal:  Radiology       Date:  2002-03       Impact factor: 11.105

10.  Lung cancer screening with CT: Mayo Clinic experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Jeff A Sloan; Anne-Marie Sykes; Gregory L Aughenbaugh; Medy A Clemens
Journal:  Radiology       Date:  2003-01-24       Impact factor: 11.105

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  26 in total

1.  Adrenal gland volume measurement in septic shock and control patients: a pilot study.

Authors:  Stephanie Nougaret; B Jung; S Aufort; G Chanques; S Jaber; B Gallix
Journal:  Eur Radiol       Date:  2010-06-04       Impact factor: 5.315

Review 2.  Noncalcified lung nodules: volumetric assessment with thoracic CT.

Authors:  Marios A Gavrielides; Lisa M Kinnard; Kyle J Myers; Nicholas Petrick
Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

3.  A comparison of six software packages for evaluation of solid lung nodules using semi-automated volumetry: what is the minimum increase in size to detect growth in repeated CT examinations.

Authors:  Bartjan de Hoop; Hester Gietema; Bram van Ginneken; Pieter Zanen; Gerard Groenewegen; Mathias Prokop
Journal:  Eur Radiol       Date:  2008-11-19       Impact factor: 5.315

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

5.  Three-dimensional analysis of pulmonary nodules: variability of semiautomated volume measurements between different versions of the same software.

Authors:  M F Rinaldi; T Bartalena; L Braccaioli; N Sverzellati; S Mattioli; E Rimondi; G Rossi; M Zompatori; G Battista; R Canini
Journal:  Radiol Med       Date:  2010-01-15       Impact factor: 3.469

Review 6.  [Volumetry of metastases from renal cell carcinoma: comparison with the RECIST criteria].

Authors:  A Graser; C R Becker; M F Reiser; C Stief; M Staehler
Journal:  Radiologe       Date:  2008-09       Impact factor: 0.635

7.  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

8.  Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysis.

Authors:  Qin Li; Marios A Gavrielides; Rongping Zeng; Kyle J Myers; Berkman Sahiner; Nicholas Petrick
Journal:  Phys Med Biol       Date:  2015-01-02       Impact factor: 3.609

9.  Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study.

Authors:  Qin Li; Marios A Gavrielides; Berkman Sahiner; Kyle J Myers; Rongping Zeng; Nicholas Petrick
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

10.  Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.

Authors:  Eui Jin Hwang; Jin Mo Goo; Jihye Kim; Sang Joon Park; Soyeon Ahn; Chang Min Park; Yeong-Gil Shin
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

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