Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging

Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimation

Physics in Medicine and Biology ◽

10.1088/0031-9155/56/19/005 ◽

2011 ◽

Vol 56 (19) ◽

pp. 6223-6242 ◽

Cited By ~ 10

Author(s):

Rongping Zeng ◽

Nicholas Petrick ◽

Marios A Gavrielides ◽

Kyle J Myers

Keyword(s):

Lung Nodule ◽

Helical Ct ◽

Ct Scans ◽

Size Estimation ◽

Nodule Size ◽

Noise Covariance

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A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom

Optics Express ◽

10.1364/oe.18.015244 ◽

2010 ◽

Vol 18 (14) ◽

pp. 15244 ◽

Cited By ~ 38

Author(s):

Marios A. Gavrielides ◽

Lisa M. Kinnard ◽

Kyle J. Myers ◽

Jennifer Peregoy ◽

William F. Pritchard ◽

...

Keyword(s):

Lung Nodule ◽

Estimation Methods ◽

Ct Scans ◽

Size Estimation ◽

Anthropomorphic Phantom ◽

Nodule Size ◽

Thoracic Ct

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Disagreement of diameter and volume measurements for pulmonary nodule size estimation in CT lung cancer screening

Thorax ◽

10.1136/thoraxjnl-2017-210770 ◽

2017 ◽

Vol 73 (8) ◽

pp. 779-781 ◽

Cited By ~ 27

Author(s):

Marjolein A Heuvelmans ◽

Joan E Walter ◽

Rozemarijn Vliegenthart ◽

Peter M A van Ooijen ◽

Geertruida H De Bock ◽

...

Keyword(s):

Pulmonary Nodule ◽

Lung Cancer Screening ◽

Size Estimation ◽

Minimum Diameter ◽

Nodule Size ◽

Axial Diameter ◽

Indeterminate Nodules ◽

Registration Number ◽

Volume Measurements ◽

Nodule Volume

We studied 2240 indeterminate solid nodules (volume 50–500mm3) to determine the correlation of diameter and semi-automated volume measurements for pulmonary nodule size estimation. Intra-nodular diameter variation, defined as maximum minus minimum diameter through the nodule’s center, varied by 2.8 mm (median, IQR:2.2–3.7 mm), so above the 1.5 mm cutoff for nodule growth used in Lung CT Screening Reporting and Data System (Lung-RADS). Using mean or maximum axial diameter to assess nodule volume led to a substantial mean overestimation of nodule volume of 47.2% and 85.1%, respectively, compared to semi-automated volume. Thus, size of indeterminate nodules is poorly represented by diameter.Trial registration numberPre-results, ISRCTN63545820.

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Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2010.2052466 ◽

2010 ◽

Vol 29 (10) ◽

pp. 1795-1807 ◽

Cited By ~ 24

Author(s):

Marios A. Gavrielides ◽

Rongping Zeng ◽

Lisa M. Kinnard ◽

Kyle J. Myers ◽

Nicholas Petrick

Keyword(s):

Lung Nodule ◽

Phantom Study ◽

Theoretic Approach ◽

Size Estimation ◽

Information Theoretic ◽

Nodule Size ◽

Information Theoretic Approach

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FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development

10.1117/12.844329 ◽

2010 ◽

Cited By ~ 2

Author(s):

Marios A. Gavrielides ◽

Lisa M. Kinnard ◽

Kyle J. Myers ◽

Rongping Zeng ◽

Nicholas Petrick

Keyword(s):

Software Development ◽

Lung Nodule ◽

Size Estimation ◽

Nodule Size

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The impact of pulmonary nodule size estimation accuracy on the measured performance of automated nodule detection systems

10.1117/12.770695 ◽

2008 ◽

Author(s):

Sergei V. Fotin ◽

Anthony P. Reeves ◽

David F. Yankelevitz ◽

Claudia I. Henschke

Keyword(s):

Pulmonary Nodule ◽

Estimation Accuracy ◽

Size Estimation ◽

Nodule Size ◽

Detection Systems ◽

Nodule Detection ◽

The Impact

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Analysis of 2D and 3D defects associated with precipitation of Cu in silicon

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010008866x ◽

1991 ◽

Vol 49 ◽

pp. 870-871

Author(s):

P.M. Rice ◽

MJ. Kim ◽

R.W. Carpenter

Keyword(s):

Colony Growth ◽

Dark Field ◽

Dark Side ◽

Silicide Phase ◽

Strain Fields ◽

Near Surface ◽

Unknown Composition ◽

Secondary Precipitates ◽

20 Nm ◽

2D And 3D

Extrinsic gettering of Cu on near-surface dislocations in Si has been the topic of recent investigation. It was shown that the Cu precipitated hetergeneously on dislocations as Cu silicide along with voids, and also with a secondary planar precipitate of unknown composition. Here we report the results of investigations of the sense of the strain fields about the large (~100 nm) silicide precipitates, and further analysis of the small (~10-20 nm) planar precipitates.Numerous dark field images were analyzed in accordance with Ashby and Brown's criteria for determining the sense of the strain fields about precipitates. While the situation is complicated by the presence of dislocations and secondary precipitates, micrographs like those shown in Fig. 1(a) and 1(b) tend to show anomalously wide strain fields with the dark side on the side of negative g, indicating the strain fields about the silicide precipitates are vacancy in nature. This is in conflict with information reported on the η'' phase (the Cu silicide phase presumed to precipitate within the bulk) whose interstitial strain field is considered responsible for the interstitial Si atoms which cause the bounding dislocation to expand during star colony growth.

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Covalent organic frameworks: an ideal platform for designing ordered materials and advanced applications

Chemical Society Reviews ◽

10.1039/d0cs00620c ◽

2021 ◽

Author(s):

Ruoyang Liu ◽

Ke Tian Tan ◽

Yifan Gong ◽

Yongzhi Chen ◽

Zhuoer Li ◽

...

Keyword(s):

Covalent Organic Frameworks ◽

2D And 3D ◽

Advanced Applications

Covalent organic frameworks offer a molecular platform for integrating organic units into periodically ordered yet extended 2D and 3D polymers to create topologically well-defined polygonal lattices and built-in discrete micropores and/or mesopores.

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