Performance of single-energy metal artifact reduction in cardiac computed tomography: A clinical and phantom study

Groves, Daniel W.; Acharya, Tushar; Steveson, Chloe; Schuzer, John L.; Rollison, S.; Nelson, Evan A.; Sirajuddin, Arlene; Sathya, Bharath; Bronson, Kathie; Shanbhag, Sujata M.; Chen, Marcus Y

doi:10.1016/j.jcct.2020.04.005

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Problem-solving strategies include (a) administering oral and/or intravenous β-blockers to lower heart rate before imaging, (b) removing data collected on ectopic beats through ECG editing software after imaging, (c) performing retrospective imaging for significant arrhythmia noted before the examination, (d) using iterative reconstruction algorithms to reduce calcium blooming, and (e) using a saline bolus chaser ( 20 , 30 , 31 ). Recently, some vendors have begun developing metal artifact reduction postprocessing software, and preliminary data are promising ( 32 ).…”

Section: Noninvasive Anatomic Assessment Of Coronary Artery Stenosismentioning

confidence: 99%

Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings

Sirajuddin¹,

Mirmomen²,

Kligerman³

et al. 2021

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Ischemic heart disease is a leading cause of death worldwide and comprises a large proportion of annual health care expenditure. Management of ischemic heart disease is now best guided by the physiologic significance of coronary artery stenosis. Invasive coronary angiography is the standard for diagnosing coronary artery stenosis. However, it is expensive and has risks including vascular access site complications and contrast material-induced nephropathy. Invasive coronary angiography requires fractional flow reserve (FFR) measurement to determine the physiologic significance of a coronary artery stenosis. Multiple noninvasive cardiac imaging modalities can also anatomically delineate or functionally assess for significant coronary artery stenosis, as well as detect the presence of myocardial infarction (MI). While coronary CT angiography can help assess the degree of anatomic stenosis, its inability to assess the physiologic significance of lesions limits its specificity. Physiologic significance of coronary artery stenosis can be determined by cardiac MR vasodilator or dobutamine stress imaging, CT stress perfusion imaging, FFR CT, PET myocardial perfusion imaging (MPI), SPECT MPI, and stress echocardiography. Clinically unrecognized MI, another clear indicator of physiologically significant coronary artery disease, is relatively common and is best evaluated with cardiac MRI. The authors illustrate the spectrum of imaging findings of ischemic heart disease (coronary artery disease, myocardial ischemia, and MI); highlight the advantages and disadvantages of the various noninvasive imaging methods used to assess ischemic heart disease, as illustrated by recent clinical trials; and summarize current indications and contraindications for noninvasive imaging techniques for detection of ischemic heart disease.Online supplemental material is available for this article.

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Section: Noninvasive Anatomic Assessment Of Coronary Artery Stenosismentioning

confidence: 99%

Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings

Sirajuddin¹,

Mirmomen²,

Kligerman³

et al. 2021

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“…Groves and colleagues performed a retrospective, cross-sectional study to assess the impact of a single energy metal artifact reduction (SEMAR) reconstruction method in 122 cardiac CT studies involving patients with implanted metal cardiac devices (pacemaker or defibrillator leads, prosthetic valves, surgical clips/markers, or spinal rods). 45 A defibrillator lead phantom study was also included in the analysis. Maximum beam hardening artifact radius, artifact attenuation variation surrounding the implanted metal, and image quality on a 4-point scale were assessed using standard iterative reconstruction and SEMAR.…”

Section: Technical Advancesmentioning

confidence: 99%

The Journal of Cardiovascular Computed Tomography: 2020 Year in review

Villines

Al’Aref

Andreini

et al. 2021

Journal of Cardiovascular Computed Tomography

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“…Однако для данных НДКТ с такими Ранее уже проводились исследования с применением фантомов сердца [24,25]. Однако они были направлены на оценку целесообразности использования низкодозных протоколов для визуализации коронарных артерий по данным КТ [24], изучение дозы облучения, качества изображения, точности измерения стеноза и денситометрии по данным КТ с ЭКГ-синхронизацией [25], а также на исследование артефактов от металлических конструкций [26]. Мы не нашли фантомные исследования, посвященные оценке плотности и волюметрии ЭЖТ как по данным КТ, так и НДКТ органов грудной клетки.…”

Section: обсуждение основных результатов исследованияunclassified

Cardiac visceral fat volume estimation from low-dose chest computed tomography: a study with a designed beating heart phantom

Chernina

Kulberg

Aleshina

et al. 2021

Almanac of Clinical Medicine

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Background: Since 2017, a pilot project for lung cancer screening by chest low dose computed tomography (LDCT) has been implemented in Moscow. Patients to be included into the screening have risk factors for ischemic heart disease (IHD). The association between epicardial adipose tissue (EAT) volume and coronary artery atherosclerosis, IHD, and atrial fibrillation has been demonstrated previously.Aim: To demonstrate the feasibility of LDCTbased EAT volumetry using a dynamic (contracting) heart phantom.Materials and methods: The study was performed with the designed dynamic heart phantom and chest phantom in two stages. At stage I, two adipose tissue pieces were scanned inside and outside the chest phantom using CT and LDCT. At stage II, the dynamic heart phantom was scanned outside and inside the chest phantom. In addition, we scanned the heart phantom with a coronary calcium phantom. The contracting heart phantom was developed within three months. All scans of the phantom were performed within one day. We determined the adipose tissue thresholds in LDCT and the EAT volumetric error with both chest CT and LDCT. Measurements of the adipose tissue volumes were performed by the radiologist twice with semi-automatic software.Results: The results of stage I helped to identify optimal density thresholds for LDCT-based adipose tissue volumetry in lung cancer screening, ranging from -250 HU to -30 HU. The stage II results showed that for all heart phantom scanning variants, the average EAT volumetry error did not exceed 5%, except for the case of contracting heart phantom with added coronary calcium in a chest phantom with body mass index (BMI) 29 (-5.92%). Adding the coronary calcium phantom to the heart phantom in LDCT increased the error by an average of 4% in BMI 23 and BMI 29 chest phantoms.Conclusion: LDCT-based EAT volumetry with fat density threshold from -250 HU to -30 HU is feasible in lung cancer screening, including patients with coronary calcium. However, considering the phantom design, further patient studies, and correlation of EAT volumes between LDCT for lung cancer screening and сoronary CT angiography are required.

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Performance of single-energy metal artifact reduction in cardiac computed tomography: A clinical and phantom study

Cited by 7 publications

References 16 publications

Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings

Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings

The Journal of Cardiovascular Computed Tomography: 2020 Year in review

Cardiac visceral fat volume estimation from low-dose chest computed tomography: a study with a designed beating heart phantom

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