Literature DB >> 20093602

Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT.

Seitaro Oda1, Kazuo Awai, Kohei Murao, Akio Ozawa, Yumi Yanaga, Koichi Kawanaka, Yasuyuki Yamashita.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the accuracy and reproducibility of results acquired with computer-aided volumetry software during MDCT of pulmonary nodules exhibiting ground-glass opacity.
MATERIALS AND METHODS: To evaluate the accuracy of computer-aided volumetry software, we performed thin-section helical CT of a chest phantom that included simulated 3-, 5-, 8-, 10-, and 12-mm-diameter ground-glass opacity nodules with attenuation of -800, -630, and -450 HU. Three radiologists measured the volume of the nodules and calculated the relative volume measurement error, which was defined as follows: (measured nodule volume minus assumed nodule volume / assumed nodule volume) x 100. Two radiologists performed two independent measurements of 59 nodules in humans. Intraobserver and interobserver agreement was evaluated with Bland-Altman methods.
RESULTS: The relative volume measurement error for simulated ground-glass opacity nodules measuring 3 mm ranged from 51.1% to 85.2% and for nodules measuring 5 mm or more in diameter ranged from -4.1% to 7.1%. In the clinical study, for intraobserver agreement, the 95% limits of agreement were -14.9% and -13.7% and -16.6% to 15.7% for observers A and B. For interobserver agreement, these values were -16.3% to 23.7% for nodules 8 mm in diameter or larger.
CONCLUSION: With computer-aided volumetry of ground-glass opacity nodules, the relative volume measurement error was small for nodules 5 mm in diameter or larger. Intraobserver and interobserver agreement was relatively high for nodules 8 mm in diameter or larger.

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Year:  2010        PMID: 20093602     DOI: 10.2214/AJR.09.2583

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  29 in total

1.  Application of CT-PSF-based computer-simulated lung nodules for evaluating the accuracy of computer-aided volumetry.

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Journal:  Radiol Phys Technol       Date:  2012-03-25

2.  Volume estimation of multidensity nodules with thoracic computed tomography.

Authors:  Marios A Gavrielides; Qin Li; Rongping Zeng; Kyle J Myers; Berkman Sahiner; Nicholas Petrick
Journal:  J Med Imaging (Bellingham)       Date:  2016-01-29

3.  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

4.  Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.

Authors:  K W Doo; E-Y Kang; H S Yong; O H Woo; K Y Lee; Y-W Oh
Journal:  Br J Radiol       Date:  2014-07-16       Impact factor: 3.039

5.  Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas.

Authors:  Julien G Cohen; Jin Mo Goo; Roh-Eul Yoo; Chang Min Park; Chang Hyun Lee; Bram van Ginneken; Doo Hyun Chung; Young Tae Kim
Journal:  Eur Radiol       Date:  2016-04-05       Impact factor: 5.315

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Journal:  Cancer Prev Res (Phila)       Date:  2014-10-27

Review 7.  The revised lung adenocarcinoma classification-an imaging guide.

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8.  What CT characteristics of lepidic predominant pattern lung adenocarcinomas correlate with invasiveness on pathology?

Authors:  Emily A Aherne; Andrew J Plodkowski; Joseph Montecalvo; Sumar Hayan; Junting Zheng; Marinela Capanu; Prasad S Adusumilli; William D Travis; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2018-02-03       Impact factor: 5.705

9.  Long-term follow-up of persistent pulmonary pure ground-glass nodules with deep learning-assisted nodule segmentation.

Authors:  Lin-Lin Qi; Bo-Tong Wu; Wei Tang; Li-Na Zhou; Yao Huang; Shi-Jun Zhao; Li Liu; Meng Li; Li Zhang; Shi-Chao Feng; Dong-Hui Hou; Zhen Zhou; Xiu-Li Li; Yi-Zhou Wang; Ning Wu; Jian-Wei Wang
Journal:  Eur Radiol       Date:  2019-09-04       Impact factor: 5.315

10.  Analysis of CT morphologic features and attenuation for differentiating among transient lesions, atypical adenomatous hyperplasia, adenocarcinoma in situ, minimally invasive and invasive adenocarcinoma presenting as pure ground-glass nodules.

Authors:  Lin Qi; Ke Xue; Cheng Li; Wenjie He; Dingbiao Mao; Li Xiao; Yanqing Hua; Ming Li
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

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