Literature DB >> 15917446

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

R Wiemker1, P Rogalla, T Blaffert, D Sifri, O Hay, E Shah, R Truyen, T Fleiter.   

Abstract

With the superb spatial resolution of modern multislice CT scanners and their ability to complete a thoracic scan within one breath-hold, software algorithms for computer-aided detection (CAD) of pulmonary nodules are now reaching high sensitivity levels at moderate false positive rates. A number of pilot studies have shown that CAD modules can successfully find overlooked pulmonary nodules and serve as a powerful tool for diagnostic quality assurance. Equally important are tools for fast and accurate three-dimensional volume measurement of detected nodules. These allow monitoring of nodule growth between follow-up examinations for differential diagnosis and response to oncological therapy. Owing to decreasing partial volume effect, nodule volumetry is more accurate with high resolution CT data. Several studies have shown the feasibility and robustness of automated matching of corresponding nodule pairs between follow-up examinations. Fast and automated growth rate monitoring with only few reader interactions also adds to diagnostic quality assurance.

Mesh:

Year:  2005        PMID: 15917446     DOI: 10.1259/bjr/30281702

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  12 in total

1.  Computerized comprehensive data analysis of lung imaging database consortium (LIDC).

Authors:  Jun Tan; Jiantao Pu; Bin Zheng; Xingwei Wang; Joseph K Leader
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

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.  Imaging of small spherical structures in CT: simulation study using measured point spread function.

Authors:  Masaki Ohkubo; Shinichi Wada; Masayuki Kunii; Toru Matsumoto; Kanae Nishizawa
Journal:  Med Biol Eng Comput       Date:  2007-11-10       Impact factor: 2.602

Review 4.  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

5.  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

6.  CT quantification of large opacities and emphysema in silicosis: correlations among clinical, functional, and radiological parameters.

Authors:  Marcos César Santos de Castro; Angela Santos Ferreira; Klaus Loureiro Irion; Bruno Hochhegger; Agnaldo José Lopes; Guilhermo Coca Velarde; Gláucia Zanetti; Edson Marchiori
Journal:  Lung       Date:  2014-05-09       Impact factor: 2.584

7.  Computer-aided detection of early interstitial lung diseases using low-dose CT images.

Authors:  Sang Cheol Park; Jun Tan; Xingwei Wang; Dror Lederman; Joseph K Leader; Soo Hyung Kim; Bin Zheng
Journal:  Phys Med Biol       Date:  2011-01-25       Impact factor: 3.609

8.  Computer-Aided Diagnosis in Mammography Using Content-based Image Retrieval Approaches: Current Status and Future Perspectives.

Authors:  Bin Zheng
Journal:  Algorithms       Date:  2009-06-01

Review 9.  Lung cancer screening.

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

10.  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

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