Literature DB >> 20082224

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

M F Rinaldi1, T Bartalena, L Braccaioli, N Sverzellati, S Mattioli, E Rimondi, G Rossi, M Zompatori, G Battista, R Canini.   

Abstract

PURPOSE: This study was done to evaluate the variability of semiautomated volume measurements of solid pulmonary nodules between two different versions of the same volumetric software.
MATERIALS AND METHODS: The volumes of 100 solid intraparenchymal nodules (mean volume 88.10 mm(3); range 7.36-595.25 mm(3)) studied with the same multidetector computed tomography (MDCT) protocol were determined using two different versions of the same volumetric software (LungCARE 2006G and LungCARE 2007S). The 2006G version is based on a single-segmentation algorithm, whereas the newer version features two algorithms: SmallSizeNodule and AllSizeNodule. The results obtained with the 2006G version were compared with those of the 2007S version with the SmallSizeNodule algorithm, as recommended by the user manual. In addition, we compared the volumetric measurements obtained by the two different algorithms of the 2007S version.
RESULTS: The 2006G version and the 2007S version with the SmallSizeNodule algorithm agreed in only two of 100 cases and showed a mean variability of 1.66% (range 0%-8.78%). A more significant volumetric discrepancy was observed between the two different algorithms of the 2007S version, with the AllSizeNodule algorithm providing on average larger volumes (mean variability 71.08%; range 6.02%-218.80%) than SmallSizeNodule. Volume discrepancies were more pronounced in the subgroups of smaller nodules in all comparisons.
CONCLUSIONS: There is variability also in the results provided by different versions of the same volumetric software, and this may affect the calculation of the nodule-doubling time. Computer-aided assessment of the growth of lung nodules should always be performed using the same version of volumetric software and the same segmentation algorithm.

Mesh:

Year:  2010        PMID: 20082224     DOI: 10.1007/s11547-010-0511-6

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  21 in total

1.  Pulmonary nodules: preliminary experience with three-dimensional evaluation.

Authors:  Marie-Pierre Revel; Catherine Lefort; Alvine Bissery; Marie Bienvenu; Laetitia Aycard; Gilles Chatellier; Guy Frija
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

2.  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

3.  Computer-assisted lung nodule volumetry from multi-detector row CT: influence of image reconstruction parameters.

Authors:  Osamu Honda; Hiromitsu Sumikawa; Takeshi Johkoh; Noriyuki Tomiyama; Naoki Mihara; Atsuo Inoue; Mitsuko Tsubamoto; Javzandulam Natsag; Seiki Hamada; Hironobu Nakamura
Journal:  Eur J Radiol       Date:  2006-12-11       Impact factor: 3.528

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

Authors:  Marco Das; 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
Journal:  Eur Radiol       Date:  2007-01-06       Impact factor: 5.315

5.  Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology.

Authors:  Myria Petrou; Leslie E Quint; Bin Nan; Laurence H Baker
Journal:  AJR Am J Roentgenol       Date:  2007-02       Impact factor: 3.959

6.  Pulmonary nodules detected at lung cancer screening: interobserver variability of semiautomated volume measurements.

Authors:  Hester A Gietema; Ying Wang; Dongming Xu; Rob J van Klaveren; Harry de Koning; Ernst Scholten; Johny Verschakelen; Gerhard Kohl; Matthijs Oudkerk; Mathias Prokop
Journal:  Radiology       Date:  2006-08-14       Impact factor: 11.105

7.  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

Review 8.  Characterization of small pulmonary nodules by CT.

Authors:  Dag Wormanns; Stefan Diederich
Journal:  Eur Radiol       Date:  2004-05-18       Impact factor: 5.315

9.  Effect of nodule characteristics on variability of semiautomated volume measurements in pulmonary nodules detected in a lung cancer screening program.

Authors:  Ying Wang; Rob J van Klaveren; Hester J van der Zaag-Loonen; Geertruida H de Bock; Hester A Gietema; Dong Ming Xu; Anne L M Leusveld; Harry J de Koning; Ernst T Scholten; Johny Verschakelen; Mathias Prokop; Matthijs Oudkerk
Journal:  Radiology       Date:  2008-08       Impact factor: 11.105

10.  Lung cancer screening with low-dose computed tomography: Canadian experience.

Authors:  Heidi C Roberts; Demetris Patsios; Narinder S Paul; Maureen McGregor; Gordon Weisbrod; Taebong Chung; Steven Herman; Scott Boerner; Thomas Waddell; Shafique Keshavjee; Gail Darling; Andre Pereira; Ashwini Kale; Hamid Bayanati; Igor Sitartchouk; Ming Tsao; Frances A Shepherd
Journal:  Can Assoc Radiol J       Date:  2007-10       Impact factor: 2.248

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  3 in total

1.  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

2.  How electronic clinical data can improve health technology assessment.

Authors:  Jonathan R Treadwell; Eileen Erinoff; Vivian Coates
Journal:  EGEMS (Wash DC)       Date:  2013-10-28

Review 3.  Low-dose CT: technique, reading methods and image interpretation.

Authors:  Cristiano Rampinelli; Daniela Origgi; Massimo Bellomi
Journal:  Cancer Imaging       Date:  2013-02-08       Impact factor: 3.909

  3 in total

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