Korean Journal of Radiology

  • 제12권2호
  • /
  • Pages.169-175
  • /
  • 2011
  • /
  • 1229-6929(pISSN)
  • /
  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
권호 표지
DOI QR코드

DOI QR Code

Reconstruction Algorithms Infl uence the Follow-Up Variability in the Longitudinal CT Emphysema Index Measurements

  • 발행 : 2011.04.01
⟨ 이전 논문 다음 논문 ⟩

초록

Objective: We wanted to compare the variability in the longitudinal emphysema index (EI) measurements that were computed with standard and high resolution (HR) reconstruction algorithms (RAs). Materials and Methods: We performed a retrospective review of 475 patients who underwent CT for surveillance of lung nodules. From this cohort, 50 patients (28 male) were included in the study. For these patients, the baseline and followup scans were acquired on the same multidetector CT scanner and using the same acquisition protocol. The CT scans were reconstructed with HR and standard RAs. We determined the difference in the EI between CT1 and CT2 for the HR and standard RAs, and we compared the variance of these differences. Results: The mean of the variation of the total lung volume was 0.14 L (standard deviation [SD] = 0.13 L) for the standard RA and 0.16 L (SD = 0.15 L) for the HR RA. These differences were not significant. For the standard RA, the mean variation was 0.13% (SD = 0.44%) for EI -970 and 0.4% (SD = 0.88%) for EI -950; for the HR RA, the mean variation was 1.9% (SD = 2.2%) for EI -970 and 3.6% (SD = 3.7%) for EI -950. These differences were significant. Conclusion: Using an HR RA appears to increase the variability of the CT measurements of the EI.

키워드

참고문헌

  1. The defi nition of emphysema. Report of a National Heart, Lung, and Blood Institute, Division of Lung Diseases workshop. Am Rev Respir Dis 1985;132:182-185
  2. Park SO, Seo JB, Kim N, Park SH, Lee YK, Park BW, et al. Feasibility of automated quantifi cation of regional disease patterns depicted on high-resolution computed tomography in patients with various diffuse lung diseases. Korean J Radiol 2009;10:455-463 https://doi.org/10.3348/kjr.2009.10.5.455
  3. Newell JD Jr, Hogg JC, Snider GL. Report of a workshop: quantitative computed tomography scanning in longitudinal studies of emphysema. Eur Respir J 2004;23:769-775 https://doi.org/10.1183/09031936.04.00026504
  4. Irion KL, Hochhegger B, Marchiori E, Porto Nda S, Baldisserotto Sde V, Santana PR. Chest X-ray and computed tomography in the evaluation of pulmonary emphysema. J Bras Pneumol 2007;33:720-732 https://doi.org/10.1590/S1806-37132007000600017
  5. Kemerink GJ, Kruize HH, Lamers RJ, van Engelshoven JM. Density resolution in quantitative computed tomography of foam and lung. Med Phys 1996;23:1697-1708 https://doi.org/10.1118/1.597757
  6. Boedeker KL, McNitt-Gray MF, Rogers SR, Truong DA, Brown MS, Gjertson DW, et al. Emphysema: effect of reconstruction algorithm on CT imaging measures. Radiology 2004;232:295- 301 https://doi.org/10.1148/radiol.2321030383
  7. Ley-Zaporozhan J, Ley S, Weinheimer O, Iliyushenko S, Erdugan S, Eberhardt R, et al. Quantitative analysis of emphysema in 3D using MDCT: influence of different reconstruction algorithms. Eur J Radiol 2008;65:228-234 https://doi.org/10.1016/j.ejrad.2007.03.034
  8. Parr DG, Stoel BC, Stolk J, Stockley RA. Validation of computed tomographic lung densitometry for monitoring emphysema in alpha1-antitrypsin defi ciency. Thorax 2006;61:485-490 https://doi.org/10.1136/thx.2005.054890
  9. Dowson LJ, Newall C, Guest PJ, Hill SL, Stockley RA. Exercise capacity predicts health status in alpha(1)-antitrypsin deficiency. Am J Respir Crit Care Med 2001;163:936-941 https://doi.org/10.1164/ajrccm.163.4.2007048
  10. Dirksen A, Piitulainen E, Parr DG, Deng C, Wencker M, Shaker SB, et al. Exploring the role of CT densitometry: a randomised study of augmentation therapy in alpha1-antitrypsin deficiency. Eur Respir J 2009;33:1345-1353 https://doi.org/10.1183/09031936.00159408
  11. Desai SR, Hansell DM, Walker A, MacDonald SL, Chabat F, Wells AU. Quantifi cation of emphysema: a composite physiologic index derived from CT estimation of disease extent. Eur Radiol 2007;17:911-918 https://doi.org/10.1007/s00330-006-0369-0
  12. Kim WJ, Silverman EK, Hoffman E, Criner GJ, Mosenifar Z, Sciurba FC, et al. CT metrics of airway disease and emphysema in severe COPD. Chest 2009;136:396-404 https://doi.org/10.1378/chest.08-2858
  13. Ogawa E, Nakano Y, Ohara T, Muro S, Hirai T, Sato S, et al. Body mass index in male patients with COPD: correlation with low attenuation areas on CT. Thorax 2009;64:20-25
  14. Goo JM, Kim KG, Gierada DS, Castro M, Bae KT. Volumetric measurements of lung nodules with multi-detector row CT: effect of changes in lung volume. Korean J Radiol 2006;7:243- 248 https://doi.org/10.3348/kjr.2006.7.4.243
  15. Gevenois PA, De Vuyst P, de Maertelaer V, Zanen J, Jacobovitz D, Cosio MG, et al. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med 1996;154:187-192 https://doi.org/10.1164/ajrccm.154.1.8680679
  16. Madani A, Zanen J, de Maertelaer V, Gevenois PA. Pulmonary emphysema: objective quantifi cation at multi-detector row CT --comparison with macroscopic and microscopic morphometry. Radiology 2006;238:1036-1043 https://doi.org/10.1148/radiol.2382042196
  17. Gevenois PA, Yernault JC. Can computed tomography quantify pulmonary emphysema? Eur Respir J 1995;8:843-848
  18. Litmanovich D, Boiselle PM, Bankier AA. CT of pulmonary emphysema--current status, challenges, and future directions. Eur Radiol 2009;19:537-551 https://doi.org/10.1007/s00330-008-1186-4
  19. Rosenblum LJ, Mauceri RA, Wellenstein DE, Bassano DA, Cohen WN, Heitzman ER. Computed tomography of the lung. Radiology 1978;129:521-524 https://doi.org/10.1148/129.2.521
  20. Hayhurst MD, MacNee W, Flenley DC, Wright D, McLean A, Lamb D, et al. Diagnosis of pulmonary emphysema by computerised tomography. Lancet 1984;2:320-322
  21. Muller NL, Staples CA, Miller RR, Abboud RT. "Density mask". An objective method to quantitate emphysema using computed tomography. Chest 1988;94:782-787 https://doi.org/10.1378/chest.94.4.782
  22. Shaker SB, Dirksen A, Laursen LC, Maltbaek N, Christensen L, Sander U, et al. Short-term reproducibility of computed tomography-based lung density measurements in alpha-1 antitrypsin defi ciency and smokers with emphysema. Acta Radiol 2004;45:424-430 https://doi.org/10.1080/02841850410005642
  23. Omori H, Nakashima R, Otsuka N, Mishima Y, Tomiguchi S, Narimatsu A, et al. Emphysema detected by lung cancer screening with low-dose spiral CT: prevalence, and correlation with smoking habits and pulmonary function in Japanese male subjects. Respirology 2006;11:205-210 https://doi.org/10.1111/j.1440-1843.2006.00827.x
  24. Schilham AM, van Ginneken B, Gietema H, Prokop M. Local noise weighted filtering for emphysema scoring of low-dose CT images. IEEE Trans Med Imaging 2006;25:451-463 https://doi.org/10.1109/TMI.2006.871545
  25. Stoel BC, Putter H, Bakker ME, Dirksen A, Stockley RA, Piitulainen E, et al. Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema. Proc Am Thorac Soc 2008;5:919-924
  26. Gietema HA, Schilham AM, van Ginneken B, van Klaveren RJ, Lammers JW, Prokop M. Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema. Radiology 2007;244:890-897 https://doi.org/10.1148/radiol.2443061330

피인용 문헌

  1. Equating quantitative emphysema measurements on different CT image reconstructions vol.38, pp.8, 2011, https://doi.org/10.1118/1.3615624
  2. Reconstruction algorithms and CT emphysema measurements. vol.263, pp.3, 2011, https://doi.org/10.1148/radiol.12120291
  3. Emphysema Quantification Using Low Dose Chest CT: Changes in Follow-Up Examinations of Asymptomatic Smokers vol.66, pp.1, 2011, https://doi.org/10.3348/jksr.2012.66.1.35
  4. Quantitative thoracic CT techniques in adults: can they be applied in the pediatric population? vol.43, pp.3, 2011, https://doi.org/10.1007/s00247-012-2467-2
  5. Chest radiography and CPOD vol.46, pp.6, 2013, https://doi.org/10.1590/s0100-39842013000600001
  6. Which is your diagnosis? vol.47, pp.5, 2014, https://doi.org/10.1590/0100-3984.2014.47.5qd
  7. Comparison of CT-based Lobar Ventilation with3He MR Imaging Ventilation Measurements vol.2015, pp.None, 2011, https://doi.org/10.1148/radiol.2015142278
  8. The Impact of Sources of Variability on Parametric Response Mapping of Lung CT Scans vol.1, pp.1, 2011, https://doi.org/10.18383/j.tom.2015.00148
  9. Effect of Reconstruction Parameters on the Quantitative Analysis of Chest Computed Tomography vol.34, pp.2, 2019, https://doi.org/10.1097/rti.0000000000000389