Assessment of dose exposure and image quality in coronary angiography performed by 640-slice CT: a comparison between adaptive iterative and filtered back-projection algorithm by propensity analysis
详细信息    查看全文
  • 作者:Ernesto Di Cesare (1)
    Antonio Gennarelli (2)
    Alessandra Di Sibio (2)
    Valentina Felli (2)
    Alessandra Splendiani (2)
    Giovanni Luca Gravina (3)
    Antonio Barile (2)
    Carlo Masciocchi (2)
  • 关键词:Coronary CT angiography ; Adaptive–iterative reconstruction ; Image noise ; Radiation dose ; Image quality
  • 刊名:La radiologia medica
  • 出版年:2014
  • 出版时间:August 2014
  • 年:2014
  • 卷:119
  • 期:8
  • 页码:642-649
  • 全文大小:315 KB
  • 参考文献:1. Lloyd-Jones D, Adams RJ, Brown TM et al (2010) Executive summary: heart disease and stroke statistics-010 update: a report from the American Heart Association. Circulation 121:948-54 CrossRef
    2. Einstein AJ, Henzlova MJ, Rajagopalan S (2007) Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography. JAMA 298:317-23 CrossRef
    3. Hamon M, Biondi-Zoccai GG, Malagutti P et al (2006) Diagnostic performance of multislice spiral computed tomography of coronary arteries as compared with conventional invasive coronary angiography: a meta-analysis. J Am Coll Cardiol 48:1896-910 CrossRef
    4. Di Cesare E, Carbone I, Carriero A et al (2012) Clinical indications for cardiac computed tomography. From the Working Group of the Cardiac Radiology Section of the Italian Society of Medical Radiology (SIRM). Radiol Med 117:901-38 CrossRef
    5. Hausleiter J, Meyer T, Hermann F et al (2009) Estimated radiation dose associated with cardiac CT angiography. JAMA 301:500-07 CrossRef
    6. Labounty TM, Earls JP, Leipsic J et al (2010) Effect of a standardized quality-improvement protocol onradiation dose in coronary computed tomographic angiography. Am J Cardiol 106:1663-667 CrossRef
    7. Tomizawa N, Nojo T, Akahane M et al (2012) Adaptive iterative dose reduction in coronary CT angiography using 320-row CT: assessment of radiation dose reduction and image quality. J Cardiovasc Comput Tomogr 6:318-24 CrossRef
    8. Yoo RE, Park EA, Lee W et al (2013) Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection. Int J Cardiovasc Imaging 29:669-76 CrossRef
    9. Williams MC, Weir NW, Mirsadraee S et al (2013) Iterative reconstruction and individualized automatic tube current selection reduce radiation dose while maintaining image quality in 320-multidetector computed tomography coronary angiography. Clin Radiol 68:e570–e577 CrossRef
    10. Chun EJ, Lee W, Choi YH et al (2008) Effects of nitroglycerin on the diagnostic accuracy of electrocardiogram-gated coronary computed tomography angiography. J Comput Assist Tomogr 32:86-2 CrossRef
    11. Austen WG, Edwards JE, Roe BB et al (1975) A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 51:5-0 CrossRef
    12. Leipsic J, Labounty TM, Heilbron B et al (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195:649-54 CrossRef
    13. Park EA, Lee W, Kim KW et al (2011) Iterative reconstruction of dual-source coronary CT angiography: assessment of image quality and radiation dose. Int J Cardiovasc Imaging 28:1775-786 CrossRef
    14. Bittencourt MS, Schmidt B, Seltmann M et al (2011) Iterative reconstruction in image space (IRIS) in cardiac computed tomography: initial experience. Int J Cardiovasc Imaging 27:1081-087 CrossRef
    15. Hara AK, Paden RG, Silva AC et al (2009) Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study. AJR Am J Roentgenol 193:764-71 CrossRef
    16. Bongartz G, Golding SJ, Jurik AG et al (2004) European Commission Website. European guidelines for multislice computed tomography: appendix C. Funded by the European Commission, March 2004. Contract No. FIGM-CT2000-20078-CT TIP
    17. Rubin DB (1997) Estimating causal effects from large data sets using propensity scores. Ann Intern Med 127(8 Pt 2):757-63 CrossRef
    18. Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:37-6 CrossRef
    19. Hoe J, Toh KH (2009) First experience with 320-row multidetector CT coronary angiography scanning with prospective electrocardiogram gating to reduce radiation dose. J Cardiovasc Comput Tomogr 3:257-61 CrossRef
    20. Dewey M, Zimmermann E, Hamm B et al (2009) Non invasive coronary angiography by 320-row computed tomography with lower radiation exposure and maintained diagnostic accuracy: comparison of results with cardiac catheterization in a head-to-head pilot investigation. Circulation 120:867-75 CrossRef
    21. Lee CH, Goo JM, Ye HJ et al (2008) Radiation dose modulation techniques in the multidetector CT era: from basics to practice. Radiographics 28:1451-459 CrossRef
    22. Chen MY, Steigner ML, Leung SW et al (2013) Simulated 50% radiation dose reduction in coronary CT angiography using adaptative iterative dose reduction in three-dimensions. Int J Cardiovasc Imaging 29:1167-175 CrossRef
    23. Silva AC, Lawder HJ, Hara A et al (2010) Innovations in CT dose reduction strategy: application of the adaptative statistical iterative reconstruction algorithm. AJR 194:191-99 CrossRef
    24. Cademartiri F, La Grutta L, Runza G et al (2007) Influence of convolution filtering on coronary plaque attenuation values: observations in an ex vivo model of multislice computed tomography coronary angiography. Eur Radiol 17:1842-849 CrossRef
    25. La Grutta L, Galia M, Gentile G et al (2013) Comparison of iodinated contrast media for the assessment of atherosclerotic plaque attenuation values by CT coronary angiography: observations in an ex vivo model. Br J Radiol 86:20120238 CrossRef
  • 作者单位:Ernesto Di Cesare (1)
    Antonio Gennarelli (2)
    Alessandra Di Sibio (2)
    Valentina Felli (2)
    Alessandra Splendiani (2)
    Giovanni Luca Gravina (3)
    Antonio Barile (2)
    Carlo Masciocchi (2)

    1. Division of Cardiac Radiology, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, Via Vetoio 1, 67100, L’Aquila, Italy
    2. Division of Radiology, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
    3. Laboratory of Radiobiology, Division of Radiotherapy, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, Via Vetoio 1, 67100, L’Aquila, Italy
  • ISSN:1826-6983
文摘
Purpose This study was performed to confirm, by propensity score matching, whether the use of adaptive–iterative dose reduction (AIDR 3D) with a built-in automatic exposure control system provides clinical and dosimetric advantages with respect to the traditional filtered back-projection (FBP) algorithm without automatic exposure modulation. Materials and methods A total of 200 consecutive patients undergoing coronary computed tomography (CT) angiography on a 640-slice CT scanner were studied. A protocol with exposure parameters based on patient body mass index (BMI) and with images reconstructed using FBP (group A) was compared with a protocol with images acquired using tube current decided by an automatic exposure control system and reconstructed using AIDR (group B). Mean effective dose and image quality with both objective and subjective measurements were assessed. Results Mean effective dose was 23.6?% lower in group B than in group A (2.56 versus 3.34?mSv; p?p? Conclusions Comparative analysis by propensity score matching confirms that AIDR 3D with automatic exposure control is able to reduce significantly the mean radiation dose and improve the image quality compared with traditional FBP without exposure modulation.
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via email.