Achievable dose reduction using iterative reconstruction for chest computed tomography: A systematic review

Harder, Annemarie M. den; Willemink, Martin J.; Ruiter, Quirina M.B. de; Schilham, Arnold M. R.; Krestin, Gabriël P.; Leiner, Tim; Jong, Pim A. de; Budde, Ricardo P.J.

doi:10.1016/j.ejrad.2015.07.011

Cited by 61 publications

(26 citation statements)

References 45 publications

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“…Due to the low attenuation of x-rays passing through the air in the lungs, and due to the high natural contrast between air and the lung tissue, the radiation dose of chest CT examinations was already relatively low to begin with. In a systematic review of 24 studies, Den Harder et al [ 42 ] found that the average radiation dose of 2.6 (1.5–21.8) mSv for chest CT scans reconstructed with FBP could be reduced to 1.4 (0.7–7.8) mSv by applying IR. Similarly, the radiation dose in another high-contrast body region, CT angiography of the heart, could be reduced substantially.…”

Section: From Concept To Clinical Necessitymentioning

confidence: 99%

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

2018

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The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use. In fact, it took until 2009 for the first iterative reconstruction algorithms to come commercially available and replace conventional filtered back projection. Since then, this technique has caused a true hype in the field of radiology. Within a few years, all major CT vendors introduced iterative reconstruction algorithms for clinical routine, which evolved rapidly into increasingly advanced reconstruction algorithms. The complexity of algorithms ranges from hybrid-, model-based to fully iterative algorithms. As a result, the number of scientific publications on this topic has skyrocketed over the last decade. But what exactly has this technology brought us so far? And what can we expect from future hardware as well as software developments, such as photon-counting CT and artificial intelligence? This paper will try answer those questions by taking a concise look at the overall evolution of CT image reconstruction and its clinical implementations. Subsequently, we will give a prospect towards future developments in this domain. Key Points • Advanced CT reconstruction methods are indispensable in the current clinical setting. • IR is essential for photon-counting CT, phase-contrast CT, and dark-field CT. • Artificial intelligence will potentially further increase the performance of reconstruction methods .

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Section: From Concept To Clinical Necessitymentioning

confidence: 99%

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

2018

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“…With the introduction of a new iterative reconstruction algorithm, it is now possible to achieve the same diagnostic image quality with a dose that is reduced by up to 80% compared with standard filtered back projection. [33][34][35][36] Another consideration is the detection of incidental findings on low dose CT scans. 37 38 New findings could lead to additional radiation exposure through further testing.…”

Section: Further Considerations and Conclusionmentioning

confidence: 99%

Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysis

Rampinelli

Marco

Origgi

et al. 2017

BMJ

213

193

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Objective To estimate the cumulative radiation exposure and lifetime attributable risk of cancer incidence associated with lung cancer screening using annual low dose computed tomography (CT). Design Secondary analysis of data from a lung cancer screening trial and risk-benefit analysis. Setting 10 year, non-randomised, single centre, low dose CT, lung cancer screening trial (COSMOS study) which took place in Milan, Italy in 2004-15 (enrolment in 2004-05). Secondary analysis took place in 2015-16. Participants High risk asymptomatic smokers aged 50 and older, who were current or former smokers (≥20 pack years), and had no history of cancer in the previous five years. Main outcome measures Cumulative radiation exposure from low dose CT and positron emission tomography (PET) CT scans, calculated by dosimetry software; and lifetime attributable risk of cancer incidence, calculated from the Biological Effects of Ionizing Radiation VII (BEIR VII) report. Results Over 10 years, 5203 participants (3439 men, 1764 women) underwent 42 228 low dose CT and 635 PET CT scans. The median cumulative effective dose at the 10th year of screening was 9.3 mSv for men and 13.0 mSv for women. According to participants’ age and sex, the lifetime attributable risk of lung cancer and major cancers after 10 years of CT screening ranged from 5.5 to 1.4 per 10 000 people screened, and from 8.1 to 2.6 per 10 000 people screened, respectively. In women aged 50-54, the lifetime attributable risk of lung cancer and major cancers was about fourfold and threefold higher than for men aged 65 and older, respectively. The numbers of lung cancer and major cancer cases induced by 10 years of screening in our cohort were 1.5 and 2.4, respectively, which corresponded to an additional risk of induced major cancers of 0.05% (2.4/5203). 259 lung cancers were diagnosed in 10 years of screening; one radiation induced major cancer would be expected for every 108 (259/2.4) lung cancers detected through screening. Conclusion Radiation exposure and cancer risk from low dose CT screening for lung cancer, even if non-negligible, can be considered acceptable in light of the substantial mortality reduction associated with screening.

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“…Radiologists should acknowledge the efforts made by the industry for a reduction of x-ray exposure, especially for computed tomography (CT). The possibility of performing coronary CT studies with much less than 1 mSv has been demonstrated [ 26 , 27 ], while thoracic CT can be performed with less than 1 mSv (unenhanced studies) and less than 2 mSv (contrast-enhanced studies) [ 28 ].…”

Section: Seven Radiology-specific Trendsmentioning

confidence: 99%

Trends in radiology and experimental research

Sardanelli

2017

Eur Radiol Exp

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European Radiology Experimental, the new journal launched by the European Society of Radiology, is placed in the context of three general and seven radiology-specific trends. After describing the impact of population aging, personalized/precision medicine, and information technology development, the article considers the following trends: the tension between subspecialties and the unity of the discipline; attention to patient safety; the challenge of reproducibility for quantitative imaging; standardized and structured reporting; search for higher levels of evidence in radiology (from diagnostic performance to patient outcome); the increasing relevance of interventional radiology; and continuous technological evolution. The new journal will publish not only studies on phantoms, cells, or animal models but also those describing development steps of imaging biomarkers or those exploring secondary end-points of large clinical trials. Moreover, consideration will be given to studies regarding: computer modelling and computer aided detection and diagnosis; contrast materials, tracers, and theranostics; advanced image analysis; optical, molecular, hybrid and fusion imaging; radiomics and radiogenomics; three-dimensional printing, information technology, image reconstruction and post-processing, big data analysis, teleradiology, clinical decision support systems; radiobiology; radioprotection; and physics in radiology. The journal aims to establish a forum for basic science, computer and information technology, radiology, and other medical subspecialties.

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Achievable dose reduction using iterative reconstruction for chest computed tomography: A systematic review

Cited by 61 publications

References 45 publications

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence

Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysis

Trends in radiology and experimental research

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