Literature DB >> 17368218

The effect of lung volume on nodule size on CT.

Iva Petkovska1, Matthew S Brown, Jonathan G Goldin, Hyun J Kim, Michael F McNitt-Gray, Fereidoun G Abtin, Raffi J Ghurabi, Denise R Aberle.   

Abstract

RATIONALE AND
OBJECTIVES: We sought to determine how measures of nodule diameter and volume on computed tomography (CT) vary with changes in inspiratory level.
MATERIALS AND METHODS: CT scans were performed with inspiration suspended at total lung capacity (TLC) and then at residual volume (RV) in 41 subjects, in whom 75 indeterminate lung nodules were detected. A fully automated contouring program was used to segment the lungs; followed by segmentation of all nodules and the corresponding lobe using semiautomated contouring in both TLC and RV scans. The percent changes in lung and lobar volumes between TLC and RV were correlated with percent changes in nodule diameters and volumes.
RESULTS: Both nodule diameter and volume varied nonuniformly from TLC to RV-some nodules decreased in size, while others increased. There was a 16.8% mean change in absolute volume across all nodules. Stratified by size, the mean value of the absolute percent volume changes for nodules > or =5 mm and <5 mm were not significantly different (P = .26). Stratified by maximum attenuation, the mean value of the absolute percent volume changes between the TLC and RV series for noncalcified (17.7%, SD = 13.1) and completely calcified nodules (8.6% SD = 5.7) were significantly different (P < .05).
CONCLUSION: Significant differences in nodule size were measured between TLC and RV scans. This has important implications for standardizing acquisition protocols in any setting where size and, more important, size change are being used for purposes of lung cancer staging, nodule characterization, or treatment response assessment.

Entities:  

Mesh:

Year:  2007        PMID: 17368218      PMCID: PMC2752296          DOI: 10.1016/j.acra.2007.01.008

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  26 in total

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Authors:  M S Brown; J G Goldin; M F McNitt-Gray; L E Greaser; A Sapra; K T Li; J W Sayre; K Martin; D R Aberle
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2.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

3.  Interobserver and intraobserver variability in the assessment of pulmonary nodule size on CT using film and computer display methods.

Authors:  Naama R Bogot; Ella A Kazerooni; Aine M Kelly; Leslie E Quint; Benoit Desjardins; Bin Nan
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

4.  Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements.

Authors:  Lawrence R Goodman; Meltem Gulsun; Lacey Washington; Paul G Nagy; Kelly L Piacsek
Journal:  AJR Am J Roentgenol       Date:  2006-04       Impact factor: 3.959

5.  Peripheral solitary pulmonary nodule: CT findings in patients with pulmonary emphysema.

Authors:  Shin Matsuoka; Yasuyuki Kurihara; Kunihiro Yagihashi; Hiroshi Niimi; Yasuo Nakajima
Journal:  Radiology       Date:  2005-02-16       Impact factor: 11.105

6.  Revisions in the International System for Staging Lung Cancer.

Authors:  C F Mountain
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7.  Size quantification of liver metastases in patients undergoing cancer treatment: reproducibility of one-, two-, and three-dimensional measurements determined with spiral CT.

Authors:  L Van Hoe; E Van Cutsem; I Vergote; A L Baert; E Bellon; P Dupont; G Marchal
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8.  CT assessment of tumour response to treatment: comparison of linear, cross-sectional and volumetric measures of tumour size.

Authors:  S A Sohaib; B Turner; J A Hanson; M Farquharson; R T Oliver; R H Reznek
Journal:  Br J Radiol       Date:  2000-11       Impact factor: 3.039

9.  Pulmonary nodules detected at lung cancer screening: interobserver variability of semiautomated volume measurements.

Authors:  Hester A Gietema; Ying Wang; Dongming Xu; Rob J van Klaveren; Harry de Koning; Ernst Scholten; Johny Verschakelen; Gerhard Kohl; Matthijs Oudkerk; Mathias Prokop
Journal:  Radiology       Date:  2006-08-14       Impact factor: 11.105

10.  On measuring the change in size of pulmonary nodules.

Authors:  Anthony P Reeves; Antoni B Chan; David F Yankelevitz; Claudia I Henschke; Bryan Kressler; William J Kostis
Journal:  IEEE Trans Med Imaging       Date:  2006-04       Impact factor: 10.048

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  19 in total

1.  Shape "break-and-repair" strategy and its application to automated medical image segmentation.

Authors:  Jiantao Pu; David S Paik; Xin Meng; Justus E Roos; Geoffrey D Rubin
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-01       Impact factor: 4.579

2.  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
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Review 3.  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

4.  Imprecision in automated volume measurements of pulmonary nodules and its effect on the level of uncertainty in volume doubling time estimation.

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Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

5.  Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.

Authors:  Eui Jin Hwang; Jin Mo Goo; Jihye Kim; Sang Joon Park; Soyeon Ahn; Chang Min Park; Yeong-Gil Shin
Journal:  Eur Radiol       Date:  2017-01-03       Impact factor: 5.315

6.  Multistage segmentation model and SVM-ensemble for precise lung nodule detection.

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Review 7.  Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

Authors:  Chara E Rydzak; Samuel G Armato; Ricardo S Avila; James L Mulshine; David F Yankelevitz; David S Gierada
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8.  Pulmonary Nodules: growth rate assessment in patients by using serial CT and three-dimensional volumetry.

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Journal:  Radiology       Date:  2011-12-09       Impact factor: 11.105

Review 9.  Meta-analysis of the technical performance of an imaging procedure: guidelines and statistical methodology.

Authors:  Erich P Huang; Xiao-Feng Wang; Kingshuk Roy Choudhury; Lisa M McShane; Mithat Gönen; Jingjing Ye; Andrew J Buckler; Paul E Kinahan; Anthony P Reeves; Edward F Jackson; Alexander R Guimaraes; Gudrun Zahlmann
Journal:  Stat Methods Med Res       Date:  2014-05-28       Impact factor: 3.021

10.  Pulmonary adenocarcinomas presenting as ground-glass opacities on multidetector CT: three-dimensional computer-assisted analysis of growth pattern and doubling time.

Authors:  Andrea Borghesi; Davide Farina; Silvia Michelini; Matteo Ferrari; Diego Benetti; Simona Fisogni; Andrea Tironi; Roberto Maroldi
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