American Roentgen Ray Society06.07.16
A Japanese retrospective study that reviewed the CT data of 50 emphysema patients found that ultralow-dose CT (ULDCT) can substitute for standard-dose CT (SDCT) in disease quantification if both iterative reconstruction (IR) and filtered back projection are used.
The study, titled "Emphysema Quantification Using Ultralow-Dose CT with Iterative Reconstruction and Filtered Back Projection," was published in the June 2016 issue of theAmerican Journal of Roentgenology.
"Although further studies are needed to validate the usefulness of emphysema quantification with ULDCT, we expect that emphysema quantification can be reliably performed with ULDCT both without and with IR to stratify lung cancer risk and reduce the radiation dose associated with CT screening for lung cancer," said lead author Dr. Mizuho Nishio, of the Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
The introduction of MDCT has greatly increased the total number of CT examinations, accordingly raising concerns about radiation exposure and the associated cancer risk1. The current principle of clinical CT practice is to use a radiation dose as low as reasonably achievable while maintaining acceptable diagnostic accuracy.
"However, given the trade-off between image quality and radiation dose in CT, excessive dose reduction can interfere with the interpretation and analysis of CT images," Nishio said.
Since the early 1970s, filtered back projection has been used for CT image reconstruction.
It is being replaced, however, by iterative reconstruction (IR), which is becoming widely used to decrease the radiation dose in CT. Many studies have shown that substantial dose savings can be achieved in CT when IR is used2-13.
CT is widely performed in patients with chronic obstructive pulmonary disease (COPD), and this technique allows quantitative evaluation to assess the progression of COPD and to monitor therapeutic effects.
References
1Fazel R, Krumholz HM, Wang Y, et al. Exposure to low-dose ionizing radiation from medical imaging procedures. N Engl J Med 2009; 361:849-857
2Willemink MJ, de Jong PA, Leiner T, et al. Iterative reconstruction techniques for computed tomography. Part 1. Technical principles. Eur Radio 2013; 23:1623-1631
3Willemink MJ, Leiner T, de Jong PA, et al. Iterative reconstruction techniques for computed tomography. Part 2. Initial results in dose reduction and image quality. Eur Radiol 2013; 23:1632-1642
4Prakash P, Kalra MK, Ackman JB, et al. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology 2010; 256:261-269
5Pontana F, Pagniez J, Duhamel A, et al. Reduceddose low-voltage chest CT angiography with sinogram affirmed iterative reconstruction versus standard-dose filtered back projection. Radiology 2013; 267:609-618
6Ohno Y, Takenaka D, Kanda T, et al. Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings. AJR 2012; 199:[web]W477-W485
7Khawaja RD, Singh S, Gilman M, et al. Computed tomography (CT) of the chest at less than 1 mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 technique. J Comput Assist Tomogr 2014; 38:613-619
8Yamada Y, Jinzaki M, Tanami Y, et al. Modelbased iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol 2012; 47:482-489
9Yanagawa M, Gyobu T, Leung AN, et al. Ultralow-dose CT of the lung: effect of iterative reconstruction techniques on image quality. Acad Radiol 2014; 21:695-703
10Nishio M, Matsumoto S, Ohno Y, et al. Emphysema quantification by low-dose CT: potential impact of adaptive iterative dose reduction using 3D processing. AJR 2012; 199:595-601
11Mets OM, Willemink MJ, de Kort FP, et al. The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions. Eur Radiol 2012; 22:2103-2109
12Koyama H, Ohno Y, Nishio M, et al. Iterative reconstruction technique vs filter back projection: utility for quantitative bronchial assessment on low-dose thin-section MDCT in patients with/without chronic obstructive pulmonary disease. Eur Radiol 2014; 24:1860-1867
13Choo JY, Goo JM, Lee CH, Park CM, Park SJ, Shim MS. Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction. Eur Radiol 2014; 24:799-806
Find more information on the study here.
The study, titled "Emphysema Quantification Using Ultralow-Dose CT with Iterative Reconstruction and Filtered Back Projection," was published in the June 2016 issue of theAmerican Journal of Roentgenology.
"Although further studies are needed to validate the usefulness of emphysema quantification with ULDCT, we expect that emphysema quantification can be reliably performed with ULDCT both without and with IR to stratify lung cancer risk and reduce the radiation dose associated with CT screening for lung cancer," said lead author Dr. Mizuho Nishio, of the Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
The introduction of MDCT has greatly increased the total number of CT examinations, accordingly raising concerns about radiation exposure and the associated cancer risk1. The current principle of clinical CT practice is to use a radiation dose as low as reasonably achievable while maintaining acceptable diagnostic accuracy.
"However, given the trade-off between image quality and radiation dose in CT, excessive dose reduction can interfere with the interpretation and analysis of CT images," Nishio said.
Since the early 1970s, filtered back projection has been used for CT image reconstruction.
It is being replaced, however, by iterative reconstruction (IR), which is becoming widely used to decrease the radiation dose in CT. Many studies have shown that substantial dose savings can be achieved in CT when IR is used2-13.
CT is widely performed in patients with chronic obstructive pulmonary disease (COPD), and this technique allows quantitative evaluation to assess the progression of COPD and to monitor therapeutic effects.
References
1Fazel R, Krumholz HM, Wang Y, et al. Exposure to low-dose ionizing radiation from medical imaging procedures. N Engl J Med 2009; 361:849-857
2Willemink MJ, de Jong PA, Leiner T, et al. Iterative reconstruction techniques for computed tomography. Part 1. Technical principles. Eur Radio 2013; 23:1623-1631
3Willemink MJ, Leiner T, de Jong PA, et al. Iterative reconstruction techniques for computed tomography. Part 2. Initial results in dose reduction and image quality. Eur Radiol 2013; 23:1632-1642
4Prakash P, Kalra MK, Ackman JB, et al. Diffuse lung disease: CT of the chest with adaptive statistical iterative reconstruction technique. Radiology 2010; 256:261-269
5Pontana F, Pagniez J, Duhamel A, et al. Reduceddose low-voltage chest CT angiography with sinogram affirmed iterative reconstruction versus standard-dose filtered back projection. Radiology 2013; 267:609-618
6Ohno Y, Takenaka D, Kanda T, et al. Adaptive iterative dose reduction using 3D processing for reduced- and low-dose pulmonary CT: comparison with standard-dose CT for image noise reduction and radiological findings. AJR 2012; 199:[web]W477-W485
7Khawaja RD, Singh S, Gilman M, et al. Computed tomography (CT) of the chest at less than 1 mSv: an ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 technique. J Comput Assist Tomogr 2014; 38:613-619
8Yamada Y, Jinzaki M, Tanami Y, et al. Modelbased iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study. Invest Radiol 2012; 47:482-489
9Yanagawa M, Gyobu T, Leung AN, et al. Ultralow-dose CT of the lung: effect of iterative reconstruction techniques on image quality. Acad Radiol 2014; 21:695-703
10Nishio M, Matsumoto S, Ohno Y, et al. Emphysema quantification by low-dose CT: potential impact of adaptive iterative dose reduction using 3D processing. AJR 2012; 199:595-601
11Mets OM, Willemink MJ, de Kort FP, et al. The effect of iterative reconstruction on computed tomography assessment of emphysema, air trapping and airway dimensions. Eur Radiol 2012; 22:2103-2109
12Koyama H, Ohno Y, Nishio M, et al. Iterative reconstruction technique vs filter back projection: utility for quantitative bronchial assessment on low-dose thin-section MDCT in patients with/without chronic obstructive pulmonary disease. Eur Radiol 2014; 24:1860-1867
13Choo JY, Goo JM, Lee CH, Park CM, Park SJ, Shim MS. Quantitative analysis of emphysema and airway measurements according to iterative reconstruction algorithms: comparison of filtered back projection, adaptive statistical iterative reconstruction and model-based iterative reconstruction. Eur Radiol 2014; 24:799-806
Find more information on the study here.