Literature DB >> 12954901

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

Jane P Ko1, Henry Rusinek, Erika L Jacobs, James S Babb, Margrit Betke, Georgeann McGuinness, David P Naidich.   

Abstract

Three-dimensional methods for quantifying pulmonary nodule volume at computed tomography (CT) and the effect of imaging variables were studied by using a realistic phantom. Two fixed-threshold methods, a partial-volume method (PVM) and a variable method, were used to calculate volumes of 40 plastic nodules (largest dimension, <5 mm: 20 nodules with solid attenuation and 20 with ground-glass attenuation) of known volume. Tube current times (20 and 120 mAs), reconstruction algorithms (high and low frequency), and nodule characteristics were studied. Higher precision was associated with use of a PVM with predetermined pure nodule attenuation, high-frequency algorithm, and diagnostic CT technique (120 mAs). A PVM is promising for volume quantification and follow-up of nodules.

Mesh:

Year:  2003        PMID: 12954901     DOI: 10.1148/radiol.2283020059

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


  45 in total

1.  Effect of blood vessels on measurement of nodule volume in a chest phantom.

Authors:  Jane P Ko; Rachel Marcus; Elan Bomsztyk; James S Babb; Cornel Stefanescu; Manmeen Kaur; David P Naidich; Henry Rusinek
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

2.  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

3.  The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.

Authors:  Anthony P Reeves; Alberto M Biancardi; Tatiyana V Apanasovich; Charles R Meyer; Heber MacMahon; Edwin J R van Beek; Ella A Kazerooni; David Yankelevitz; Michael F McNitt-Gray; Geoffrey McLennan; Samuel G Armato; Claudia I Henschke; Denise R Aberle; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

4.  The effect of lung volume on nodule size on CT.

Authors:  Iva Petkovska; Matthew S Brown; Jonathan G Goldin; Hyun J Kim; Michael F McNitt-Gray; Fereidoun G Abtin; Raffi J Ghurabi; Denise R Aberle
Journal:  Acad Radiol       Date:  2007-04       Impact factor: 3.173

5.  Automated volumetry of pulmonary nodules on multidetector CT: influence of slice thickness, reconstruction algorithm and tube current. Preliminary results.

Authors:  A R Larici; M L Storto; M Torge; M Mereu; F Molinari; F Maggi; L Bonomo
Journal:  Radiol Med       Date:  2008-02-25       Impact factor: 3.469

6.  Effect of CT scanning parameters on volumetric measurements of pulmonary nodules by 3D active contour segmentation: a phantom study.

Authors:  Ted W Way; Heang-Ping Chan; Mitchell M Goodsitt; Berkman Sahiner; Lubomir M Hadjiiski; Chuan Zhou; Aamer Chughtai
Journal:  Phys Med Biol       Date:  2008-02-13       Impact factor: 3.609

7.  Automated measurement of lymph nodes: a phantom study.

Authors:  Sebastian Keil; Cedric Plumhans; Florian F Behrendt; Sven Stanzel; Michael Suehling; Georg Mühlenbruch; Andreas H Mahnken; Rolf W Günther; Marco Das
Journal:  Eur Radiol       Date:  2008-12-24       Impact factor: 5.315

Review 8.  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

9.  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

10.  3D shape analysis to reduce false positives for lung nodule detection systems.

Authors:  Antonio Oseas de Carvalho Filho; Aristófanes Corrêa Silva; Anselmo Cardoso de Paiva; Rodolfo Acatauassú Nunes; Marcelo Gattass
Journal:  Med Biol Eng Comput       Date:  2016-10-17       Impact factor: 2.602

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