Comparison of low-dose coronary artery calcium scoring using low tube current technique and hybrid iterative reconstruction vs. filtered back projection

Sulaiman, Nada; Soon, Jeanette; Park, Jong Kwan; Naoum, Christopher; Kueh, Shaw Hua; Blanke, Philipp; Murphy, Darra; Ellis, Jennifer D.; Hague, Cameron; Leipsic, Jonathon

doi:10.1016/j.clinimag.2017.01.017

Cited by 8 publications

(9 citation statements)

References 20 publications

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“…Recent innovations in CT techniques have enabled reconstruction algorithms supplied by various vendors and by lowering the tube voltage/current to be extensively investigated in coronary CT angiography (CTA) (6,7). However, the reference protocol for CAC acquisition still requires 120 kVp presetting and filter back projection (FBP) reconstruction (8), and there are considerable concerns about medical radiation exposure and its resultant cancer risk (9,10).…”

Section: Coronary Calcium Scoring Has Become a Common Methodsmentioning

confidence: 99%

“…Post-hoc analysis showed significant differences between the five techniques (all P<0.05). The median mass scores were 32 [7,63], 29 [6,61], 31 [6.5, 63], 30 [6.5, 59], and 30 [6.5, 59] mg for FBP, ASIR-V 50%, DLIR-L, DLIR-M, and DLIR-H, respectively. Post-hoc analysis revealed that ASIR-V and three DLIR reconstruction levels differed significantly from FBP in mass score (all P<0.05).…”

Section: Cac Scoringmentioning

confidence: 99%

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Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on coronary artery calcium quantification

Wang¹,

Zhan²,

Hou³

et al. 2021

Ann Transl Med

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Background: Deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-V (ASIR-V) has been used for cardiac computed tomography imaging. However, DLIR and ASIR-V may influence the quantification of coronary artery calcification (CAC).Methods: CT images of 96 patients were reconstructed using filtered back projection (FBP), ASIR-V 50%, and three levels of DLIR [low (L), medium (M), and high (H)]. Image noise and the Agatston, volume, and mass scores were compared between the reconstructions. Patients were stratified into six Agatston scorebased risk categories and five CAC percentile risk categories adjusted by Agatston score, age, sex, and race.The number of patients who were switched to another risk stratification group when ASIR-V and DLIR were used was compared. Bland-Altman plots were used to present the agreement of Agatston scores between FBP and the different reconstruction techniques.

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Section: Coronary Calcium Scoring Has Become a Common Methodsmentioning

confidence: 99%

Section: Cac Scoringmentioning

confidence: 99%

Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on coronary artery calcium quantification

Wang¹,

Zhan²,

Hou³

et al. 2021

Ann Transl Med

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“…ASIR-V allows for more advanced modeling because it deemphasizes the system optics modeling, enabling reconstruction speeds similar to those of filtered backprojection. Because ASIR-V was used on both systems, the dose reduction associated with use of 256-row scanning is incremental to this technique (14). With the new-generation 256-row CT scanner along with accompanying protocols, we are able to perform CCTA at significantly lower radiation doses.…”

Section: Discussionmentioning

confidence: 99%

Lower Radiation Dosing in Cardiac CT Angiography: The CONVERGE Registry

Madaj

Nakanishi

et al. 2020

J. Nucl. Med. Technol.

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Coronary artery disease is the leading cause of morbidity and mortality. Tools have been developed to accurately diagnose and evaluate coronary artery disease. Coronary CT angiography (CCTA) provides detailed imaging to deliver precise analysis and prognostic information. We sought to compare the radiation dose from a 256-detector-row CT scanner with that from a 64-detector-row CT scanner across a similar profile of patients. Methods: Consecutive patients were screened for the Converge Registry study and, after consenting to be included, were enrolled in accordance with an Institutional Review Board-approved protocol. A control group who underwent 64-row CCTA were matched by age, sex, and body mass index (BMI) with a group who underwent 256-row CCTA. Results: We compared 110 patients in each group. We found that mean dose-length product (DLP) was significantly lower in the 256-row group than in the 64row group (P , 0.05). The radiation dose was reduced by 32% with use of the 256-row scanner for BMIs of 18.5-24.9 (DLP, 111.2 vs. 76.1 mGy-cm [1.56 vs. 1.07 mSv]; P , 0.05). For each BMI subgroup, there was a significant decrease in dose. Regression analysis found that with increasing BMIs, DLP significantly increased for both scanners. Conclusion: The 256-row scanner provided CCTA scans at significantly lower radiation doses than the 64-row scanner in different BMI groups, with all other variables accounted for. Lower radiation exposure along with lower contrast requirements can provide images with high diagnostic accuracy and less risk to the patient.

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“…With innovations in CT techniques, reconstruction algorithms by various vendors and lowering tube voltage / tube current has been extensively investigated in CT coronary angiography [4][5]. however, CAC acquisition protocol still needs to be preset in 120kVp and reconstructed by filter back projection (FBP) [6], which lead to a relatively high level of image noise and radiation dose.…”

Section: Introductionmentioning

confidence: 99%

Influence of Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on Coronary Artery Calcium Quantification

Zhan

Liu

et al. 2021

Preprint

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Deep learning image reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) has been used for cardiac computed tomography imaging. However, DLIR and ASIR-V may influence the quantification of coronary artery calcification. This study aimed to investigate the effects of DLIR and ASIR-V on coronary calcium quantification compared to traditional filtered back projection (FBP). CT images of 96 patients were reconstructed by FBP, ASIR-V 50%, and three levels of DLIR (low [L], medium [M], and high [H], respectively). Image noise decreased significantly with ASIR-V 50% and increasing DLIR levels from L to H in comparison with FBP (all P < 0.001). There is a significantly decline with ASIR-V 50% and incremental DLIR levels in Agatston calcium score, volume score and mass score as compared to FBP (all P < 0.001). For all CAC score risk categories, Severity classification shows no significant differences among five reconstructions (all P > 0.05). DLIR-L has the minimal effect on coronary calcium quantification as compared to ASIR-V and DLIR at medium and high levels. it may be considered as an alternative to FBP for routine clinical use.

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Comparison of low-dose coronary artery calcium scoring using low tube current technique and hybrid iterative reconstruction vs. filtered back projection

Cited by 8 publications

References 20 publications

Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on coronary artery calcium quantification

Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on coronary artery calcium quantification

Lower Radiation Dosing in Cardiac CT Angiography: The CONVERGE Registry

Influence of Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) on Coronary Artery Calcium Quantification

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