Literature DB >> 16567484

Effect of blood vessels on measurement of nodule volume in a chest phantom.

Jane P Ko1, Rachel Marcus, Elan Bomsztyk, James S Babb, Cornel Stefanescu, Manmeen Kaur, David P Naidich, Henry Rusinek.   

Abstract

PURPOSE: To identify, by using a chest phantom, whether vessels that contact lung nodules measuring less than 5 mm in diameter will affect nodule volume assessment.
MATERIALS AND METHODS: Forty synthetic nodules (20 with ground-glass attenuation and 20 with solid attenuation) that measured less than 5 mm in diameter were placed into a chest phantom either adjacent to (n = 30) or isolated from (n = 10) synthetic vessels. Nodules were imaged by using low-dose (20 mAs) and diagnostic (120 mAs) multi-detector row computed tomography (CT). Nodules that were known to lie in direct contact with vessels were confirmed by visual inspection. Nontargeted 1.25 x 1.00-mm sections were analyzed with a three-dimensional computer-assisted method for measuring nodule volume. A mixed-model analysis of variance was used to examine the influence of several factors (eg, the presence of adjacent vessels; tube current-time product; and nodule attenuation, diameter, and location) on measurement error.
RESULTS: The mean absolute error (MAE) for all nodules adjacent to vessels was 2.3 mm(3), which was higher than the MAE for isolated nodules (1.9 mm(3)) (P < .001). This difference proved significant only for diagnostic CT (2.2 mm(3) for nodules adjacent to vessels vs 1.3 mm(3) for nodules isolated from vessels) (P < .05). A larger MAE was noted for nodules with ground-glass attenuation (2.3 mm(3)) versus those with solid attenuation (2.0 mm(3)), for increasing nodule volume (1.66 mm(3) for nodules smaller than 20 mm(3) vs 2.83 mm(3) for nodules larger than 40 mm(3)), and for posterior nodule location (P < .05).
CONCLUSION: The presence of a vessel led to a small yet significant increase in volume error on diagnostic-quality images. This represents less than one-third of the overall error, even for nodules larger than 40 mm(3) or approximately 4 mm in diameter. This increase, however, may be more important for smaller nodules with errors of less than 3 mm(3). (c) RSNA, 2006.

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Year:  2006        PMID: 16567484      PMCID: PMC2365709          DOI: 10.1148/radiol.2391041453

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  12 in total

1.  Two-dimensional multi-criterion segmentation of pulmonary nodules on helical CT images.

Authors:  B Zhao; D Yankelevitz; A Reeves; C Henschke
Journal:  Med Phys       Date:  1999-06       Impact factor: 4.071

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.  Small pulmonary nodules: volume measurement at chest CT--phantom study.

Authors:  Jane P Ko; Henry Rusinek; Erika L Jacobs; James S Babb; Margrit Betke; Georgeann McGuinness; David P Naidich
Journal:  Radiology       Date:  2003-09       Impact factor: 11.105

4.  Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images.

Authors:  William J Kostis; Anthony P Reeves; David F Yankelevitz; Claudia I Henschke
Journal:  IEEE Trans Med Imaging       Date:  2003-10       Impact factor: 10.048

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

Authors:  Marie-Pierre Revel; Catherine Lefort; Alvine Bissery; Marie Bienvenu; Laetitia Aycard; Gilles Chatellier; Guy Frija
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

6.  CT-number variability in thoracic geometry.

Authors:  E C McCullough; R L Morin
Journal:  AJR Am J Roentgenol       Date:  1983-07       Impact factor: 3.959

7.  Small pulmonary nodules: evaluation with repeat CT--preliminary experience.

Authors:  D F Yankelevitz; R Gupta; B Zhao; C I Henschke
Journal:  Radiology       Date:  1999-08       Impact factor: 11.105

8.  Evaluation of tumor measurements in oncology: use of film-based and electronic techniques.

Authors:  L H Schwartz; M S Ginsberg; D DeCorato; L N Rothenberg; S Einstein; P Kijewski; D M Panicek
Journal:  J Clin Oncol       Date:  2000-05       Impact factor: 44.544

9.  Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response.

Authors:  Jeremy J Erasmus; Gregory W Gladish; Lyle Broemeling; Bradley S Sabloff; Mylene T Truong; Roy S Herbst; Reginald F Munden
Journal:  J Clin Oncol       Date:  2003-07-01       Impact factor: 44.544

10.  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

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  3 in total

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

Authors:  Paul J Nietert; James G Ravenel; William M Leue; James V Miller; Katherine K Taylor; Elizabeth S Garrett-Mayer; Gerard A Silvestri
Journal:  Chest       Date:  2009-01-13       Impact factor: 9.410

2.  Pulmonary nodule volume: effects of reconstruction parameters on automated measurements--a phantom study.

Authors:  James G Ravenel; William M Leue; Paul J Nietert; James V Miller; Katherine K Taylor; Gerard A Silvestri
Journal:  Radiology       Date:  2008-05       Impact factor: 11.105

3.  Pulmonary Nodules: growth rate assessment in patients by using serial CT and three-dimensional volumetry.

Authors:  Jane P Ko; Erika J Berman; Manmeen Kaur; James S Babb; Elan Bomsztyk; Alissa K Greenberg; David P Naidich; Henry Rusinek
Journal:  Radiology       Date:  2011-12-09       Impact factor: 11.105

  3 in total

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