The Value of 16-cm Wide-Detector Computed Tomography in Coronary Computed Tomography Angiography for Patients With High Heart Rate Variability

Yuhuan, Chen; Wei, Donghong; Li, Dou; Liu, Zhentang; Hu, Zhijun; Li, Michelle; Jia, Yongjun; Yan, Yu; Han, Dong; Ren, Ranzhi; Ye, Nan; He, Tao

doi:10.1097/rct.0000000000000787

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…Furthermore, we have conducted subgroups analysis based on HR and we proved that the low contrast dose protocol we proposed in this study could be applied to patients with both average HR and high HR. High HR has been criticized for degraded image quality in CCTA examination, which has raised a signi cant concern [21][22][23][24] in recent years. Compared to patients with regular HR, CCTA images of patients with high heart rates suffer from motion artifacts due to their uneven ratio of systolic to diastolic phases and their excessive motion velocities that exceed the temporal resolution of the CT scanners.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography

Yuan,

Wang,

Lyu

et al. 2024

Int J Cardiovasc Imaging

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Purpose To assess the impact of low-dose contrast medium (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA).Methods and Materials 210 patients undergoing CCTA were prospectively and randomly assigned to three groups with different contrast volume protocols (at 320mgI/mL concentration and constant ow rate of 5ml/s): Group A, 0.7mL/kg (n = 70); Group B, 0.6mL/kg (n = 70); Group C, 0.5mL/kg (n = 70). All patients were examined via a prospective ECG-triggered scan protocol within one heartbeat. A high level DLIR (DLIR-H) algorithm was used for image reconstruction with a thickness and interval of 0.625mm. The CT values of ascending aorta (AA), descending aorta (DA), three main coronary arteries, pulmonary artery (PA), and superior vena cava (SVC) were measured and analyzed for objective assessment. Two radiologists assessed the image quality and diagnostic con dence using a 5-point Likert scale. ResultsThe CM doses were 46.81 ± 6.41mL, 41.96 ± 7.51mL and 34.65 ± 5.38mL for Group A, B and C, respectively. The objective assessments on AA, DA and the three main coronary arteries and the overall subjective scoring showed no difference among the three groups (all p > 0.05). Group A had higher enhancements in PA and SVC than groups B and C (all p < 0.05).Conclusions CCTA reconstructed with DLIR could be realized with adequate enhancement in coronary arteries, excellent image quality and diagnostic con dence at low contrast dose of 0.5mL/kg. The use of lower tube voltages may further reduce the contrast dose requirement.

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Section: Discussionmentioning

confidence: 99%

Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography

Yuan,

Wang,

Lyu

et al. 2024

Int J Cardiovasc Imaging

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“…be as large as possible to allow the study of the entire cardiac area in the smallest number of heart cycles 35) .…”

Section: Cardiac Petmentioning

confidence: 99%

Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease

Infante

Viscovo

Rimini

et al. 2020

JAT

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The official journal of the Japan Atherosclerosis Society and the Asian Pacific Society of Atherosclerosis and Vascular Diseases Review Early identification of coronary atherosclerotic pathogenic mechanisms is useful for predicting the risk of coronary heart disease (CHD) and future cardiac events. Epigenome changes may clarify a significant fraction of this "missing hereditability", thus offering novel potential biomarkers for prevention and care of CHD. The rapidly growing disciplines of systems biology and network science are now poised to meet the fields of precision medicine and personalized therapy. Network medicine integrates standard clinical recording and non-invasive, advanced cardiac imaging tools with epigenetics into deep learning for in-depth CHD molecular phenotyping. This approach could potentially explore developing novel drugs from natural compounds (i.e. polyphenols, folic acid) and repurposing current drugs, such as statins and metformin. Several clinical trials have exploited epigenetic tags and epigenetic sensitive drugs both in primary and secondary prevention. Due to their stability in plasma and easiness of detection, many ongoing clinical trials are focused on the evaluation of circulating miRNAs (e.g. miR-8059 and miR-320a) in blood, in association with imaging parameters such as coronary calcifications and stenosis degree detected by coronary computed tomography angiography (CCTA), or functional parameters provided by FFR/CT and PET/CT. Although epigenetic modifications have also been prioritized through network based approaches, the whole set of molecular interactions (interactome) in CHD is still under investigation for primary prevention strategies. events 10, 11). In the era of next generation sequencing, the development of a plethora of high-throughput platforms has provided significant impact concerning the knowledge of CHD molecular characterization generating big "omics" data sets 12-14). Furthermore, several non-invasive imaging techniques have been developed over the last few years to detect CHD with the aim to guide optimal patient management, such as coronary computed tomography angiography (CCTA), cardiac magnetic resonance (CMR), and nuclear medicine technique positron emission tomography (PET) 15). These advances have raised challenges Copyright©2020 Japan Atherosclerosis Society This article is distributed under the terms of the latest version of CC BY-NC-SA defined by the Creative Commons Attribution License.

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“…The motion velocity and path of coronary arteries from adjacent cardiac phases are characterized, and the information is used to calculate an optimal estimation of the vessel lumen at the target phase by the snapshot freeze (SSF) reconstruction technique (GE Healthcare) (29). Several previous studies reported that the SSF technique improves diagnostic accuracy using a 64-row detector CT scanner (29)(30)(31), and this technique is currently available on wide-detector CT scanners (32)(33)(34).…”

Section: Effect Of Heart Rate and Image Qualitymentioning

confidence: 99%

“…In the 16-cm wide-detector CT scanner of GE Healthcare (Revolution CT), using the one-beat auto-gating technique to identify the ideal time within one cardiac cycle at any heart rate in combination with the SSF motion correction kjronline.org technique can achieve coronary artery images with diagnostic quality even in patients with a high heart rate or high heart rate variability (32)(33)(34).…”

Section: Effect Of Heart Rate and Image Qualitymentioning

confidence: 99%

Clinical Applications of Wide-Detector CT Scanners for Cardiothoracic Imaging: An Update

Kang

2019

Korean J Radiol

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Technical developments in multidetector computed tomography (CT) have increased the number of detector rows on the z-axis, and 16-cm wide-area-coverage CT scanners have enabled volumetric scanning of the entire heart. Beyond coronary arterial imaging, such innovations offer several advantages during clinical imaging in the cardiothoracic area. The wide-detector CT scanner markedly reduces the image acquisition time to less than 1 second for coronary CT angiography, thereby decreasing the volume of contrast material and radiation dose required for the examination. It also eliminates stair-step artifacts, allowing robust improvements in myocardial function and perfusion imaging. Additionally, new imaging techniques for the cardiothoracic area, including subtraction imaging and free-breathing scans, have been developed and further improved by using the wide-detector CT scanner. This article investigates the technical developments in wide-detector CT scanners, summarizes their clinical applications in the cardiothoracic area, and provides a review of the recent literature.

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The Value of 16-cm Wide-Detector Computed Tomography in Coronary Computed Tomography Angiography for Patients With High Heart Rate Variability

Abstract: Single-heartbeat free-breathing CCTA can be performed for patients with high HRv using 16-cm wide-detector CT scanner to achieve diagnostic image quality with low radiation dose.

Cited by 8 publications

References 22 publications

Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography

Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography

Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease

Clinical Applications of Wide-Detector CT Scanners for Cardiothoracic Imaging: An Update

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