Infarct characterization using CT

Grutta, Ludovico La; Toia, Patrizia; Maffei, Erica; Cademartiri, Filippo; Lagalla, Roberto; Midiri, Massimo

doi:10.21037/cdt.2017.03.18

Cited by 14 publications

(9 citation statements)

References 130 publications

(151 reference statements)

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“…Iodinated contrast media (iodinated CM) absorb x-rays and visualize structures that are normally hard to observe in a radiological examination [ 1 - 4 ]. It has been used widely for many years.…”

Section: Introductionmentioning

confidence: 99%

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The molecular mechanism of contrast-induced nephropathy (CIN) and its link to in vitro studies on iodinated contrast media (CM)

et al. 2018

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Iodinated contrast media (iodinated CM) have increased ability to absorb x-rays and to visualize structures that normally are impossible to observe in a radiological examination. The use of iodinated CM may destory renal function, commonly known as contrast-induced nephropathy (CIN), which can result in acute renal failure (ARF). This review article mainly focuses on the following areas: (1) classifications of iodinated CM: ionic or non-ionic, high-osmolarity contrast media (HOCM), low-osmolarity contrast media (LOCM) and iso-osmolarity contrast media (IOCM); (2) an introduction to the physical and chemical properties of the non-ionic iodinated CM; (3) the management of anaphylactic reaction by iodinated CM; (4) a suggested single injection of adult doses and maximum dose for non-ionic iodinated CM; (5) the molecular mechanism of contrast-induced nephropathy (CIN); (6) In vitro studies on iodinated CM. Based on above information, this review article provide an insight for understanding the drug safety of iodinated CM.

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Section: Introductionmentioning

confidence: 99%

“…Iodine, the content of iodinated contrast media, absorbs the energy of x-ray; that is to say, iodinated CM “shield” x-ray from detector and lead to a high density, white “shadow” appearing. Iodinated CM elevate the sensitivity and diagnostic accuracy in radiological examination [ 1 , 5 - 7 ].…”

Section: Introductionmentioning

confidence: 99%

The molecular mechanism of contrast-induced nephropathy (CIN) and its link to in vitro studies on iodinated contrast media (CM)

et al. 2018

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“…Early-phase contrast-enhanced CCT shows hypoenhancement due to the reduced distribution of contrast medium during the first passage in infarcted areas of patients with acute, chronic, and subacute MI. Remodeling of the left ventricle, focal wall thinning, regional LV wall motion abnormality, or LV thrombus or aneurysm may be easily apparent on early-phase CT (7576). Simple measurement of end-diastolic wall thickness (< 6 mm) indicates irreversible myocardial damage and obviates the need for viability testing such as delayed-enhancement CMR (77).…”

Section: Wall Thicknessmentioning

confidence: 99%

Assessment of Left Ventricular Myocardial Diseases with Cardiac Computed Tomography

Kim

Chun

et al. 2019

Korean J Radiol

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Rapid advances in cardiac computed tomography (CT) have enabled the characterization of left ventricular (LV) myocardial diseases based on LV anatomical morphology, function, density, and enhancement pattern. Global LV function and regional wall motion can be evaluated using multi-phasic cine CT images. CT myocardial perfusion imaging facilitates the identification of hemodynamically significant coronary artery disease. CT delayed-enhancement imaging is used to detect myocardial scar in myocardial infarction and to measure the extracellular volume fraction in non-ischemic cardiomyopathy. Multi-energy cardiac CT allows the mapping of iodine distribution in the myocardium. This review summarizes the current techniques of cardiac CT for LV myocardial assessment, highlights the key findings in various myocardial diseases, and presents future applications to complement echocardiography and cardiovascular magnetic resonance.

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“…While cardiac magnetic resonance imaging (MRI) is still widely considered the gold standard for ischemic scar assessment and model personalisation [9], computed tomography (CT) has recently gained interest in the electrophysiological (EP) community. Cardiac CT is indeed able to locate the chronic ischemic scar and evaluate its heterogeneity [7,4]. This is possible by identifying zones of myocardial wall thinning and by evaluating the severity of this thinning; this Fig.…”

Section: Introductionmentioning

confidence: 99%

Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging

Cedilnik

Duchâteau

Sacher

et al. 2019

Functional Imaging and Modeling of the Heart

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There has been a recent growing interest for cardiac computed tomography (CT) imaging in the electrophysiological community. This imaging modality indeed allows to locate and assess post-infarct scar heterogeneity, allowing to predict zones of abnormal electrical activity and even personalise EP models. To this end, most of the literature uses manually segmented CT images where one fundamental information is extracted, the myocardial wall thickness. In this paper, we evaluate the impact of using an automated deep learning (DL) methodology to segment the left ventricular wall and extract relevant scar information on the resulting personalised models. Using CT images from 8 patients that were not used during the DL training, we show that the automated segmentation is very similar to the manual one (median Dice score: 0.9). Thickness information obtained this way is also very close to the manual one (median difference: 0.7 mm). A wavefront propagation model personalisation framework based on this thickness information does not show relevant differences in its output (median difference in local activation time: 2 ms), proving its robustness. Bipolar electrograms, simulated through a novel approach, do not differ significantly between manual and automated segmentations (Pearson's r: 0.99).

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Infarct characterization using CT

Cited by 14 publications

References 130 publications

The molecular mechanism of contrast-induced nephropathy (CIN) and its link to in vitro studies on iodinated contrast media (CM)

The molecular mechanism of contrast-induced nephropathy (CIN) and its link to in vitro studies on iodinated contrast media (CM)

Assessment of Left Ventricular Myocardial Diseases with Cardiac Computed Tomography

Fully Automated Electrophysiological Model Personalisation Framework from CT Imaging

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