Literature DB >> 18525224

A new method of measuring the amount of soft tissue in pulmonary ground-glass opacity nodules: a phantom study.

Kyung Won Lee1, Jung Gi Im, Tae Jung Kim, Chang Min Dae.   

Abstract

OBJECTIVE: To devise a new method to measure the amount of soft tissue in pulmonary ground-glass opacity nodules, and to compare the use of this method with a previous volumetric measurement method by use of a phantom study.
MATERIALS AND METHODS: Phantom nodules were prepared with material from fixed normal swine lung. Forty nodules, each with a diameter of 10 mm, were made with a variable mean attenuation. The reference-standard amount of soft tissue in the nodules was obtained by dividing the weight by the specific gravity. The imaging data on the phantom nodules were acquired with the use of a 16-channel multidetector CT scanner. The CT-measured amount of soft tissue of the nodules was calculated as follows: soft tissue amount = volume x (1 + mean attenuation value / 1,000). The relative percentage error (RPE) between the CT-measured amount of the soft tissue and the reference-standard amount of the soft tissue was also measured. The RPEs determined with use of the new method were compared with the RPEs determined with the current volumetric measurement method by the use of the paired t test.
RESULTS: The CT-measured amount of soft tissue showed a strong correlation with the reference-standard amount of soft tissue (R(2) = 0.996, p < 0.01). The mean RPE of the CT-measured amount of soft tissue in the nodules was -7.79 +/- 1.88%. The mean RPE of the CT-measured volume was 114.78 +/- 51.02%, which was significantly greater than the RPE of the CT-measured amount of soft tissue (p < 0.01).
CONCLUSION: The amount of soft tissue measured by the use of CT reflects the reference-standard amount of soft tissue in the ground-glass opacity nodules much more accurately than does the use of the CT-measured volume.

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Year:  2008        PMID: 18525224      PMCID: PMC2627253          DOI: 10.3348/kjr.2008.9.3.219

Source DB:  PubMed          Journal:  Korean J Radiol        ISSN: 1229-6929            Impact factor:   3.500


  18 in total

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

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

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Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

4.  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

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

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6.  Evolution of peripheral lung adenocarcinomas: CT findings correlated with histology and tumor doubling time.

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Authors:  Hyun Ju Lee; Jung-Gi Im; Jin Mo Goo; Young Il Kim; Min Woo Lee; Ho-Geol Ryu; Jae-Hyon Bahk; Chul-Gyu Yoo
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8.  Lung tumor growth: assessment with CT--comparison of diameter and cross-sectional area with volume measurements.

Authors:  S Gregory Jennings; Helen T Winer-Muram; Robert D Tarver; Mark O Farber
Journal:  Radiology       Date:  2004-06       Impact factor: 11.105

9.  Nodular ground-glass opacities on thin-section CT: size change during follow-up and pathological results.

Authors:  Hyun Ju Lee; Jin Mo Goo; Chang Hyun Lee; Chul-Gyu Yoo; Young Tae Kim; Jung-Gi Im
Journal:  Korean J Radiol       Date:  2007 Jan-Feb       Impact factor: 3.500

10.  Automated lung nodule detection at low-dose CT: preliminary experience.

Authors:  Jin Mo Goo; Jeong Won Lee; Hyun Ju Lee; Seunghwan Kim; Jong Hyo Kim; Jung-Gi Im
Journal:  Korean J Radiol       Date:  2003 Oct-Dec       Impact factor: 3.500

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  3 in total

Review 1.  A computer-aided diagnosis for evaluating lung nodules on chest CT: the current status and perspective.

Authors:  Jin Mo Goo
Journal:  Korean J Radiol       Date:  2011-03-03       Impact factor: 3.500

2.  Solitary ground-glass opacity nodules of stage IA pulmonary adenocarcinoma: combination of 18F-FDG PET/CT and high-resolution computed tomography features to predict invasive adenocarcinoma.

Authors:  Jun Zhou; Yanli Li; Yiqiu Zhang; Guobing Liu; Hui Tan; Yan Hu; Jie Xiao; Hongcheng Shi
Journal:  Oncotarget       Date:  2017-04-04

3.  Imaging characteristics of stage I non-small cell lung cancer on CT and FDG-PET: relationship with epidermal growth factor receptor protein expression status and survival.

Authors:  Youkyung Lee; Hyun-Ju Lee; Young Tae Kim; Chang Hyun Kang; Jin Mo Goo; Chang Min Park; Jin Chul Paeng; Doo Hyun Chung; Yoon Kyung Jeon
Journal:  Korean J Radiol       Date:  2013-02-22       Impact factor: 3.500

  3 in total

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