Delayed contrast-enhanced computed tomography in patients with known or suspected cardiac sarcoidosis: A feasibility study

Aikawa, Tadao; Oyama‐Manabe, Noriko; Naya, Masanao; Ohira, Hiroshi; Sugimoto, Akihiro; Tsujino, Ichizo; Obara, Masahiko; Manabe, Osamu; Kudo, Kohsuke; Tsutsui, Hiroyuki; Tamaki, Nagara

doi:10.1007/s00330-017-4824-x

Cited by 39 publications

(24 citation statements)

References 36 publications

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“…After the initial assessment, any interobserver disagreements were resolved by consensus. The extent of hyperenhanced myocardium on LGE images was quantified as the percentage area of hyperenhanced myocardium using a 5-standard deviation threshold above the mean of remote myocardium [8,11] (Fig. 1).…”

Section: Cmr Image Analysismentioning

confidence: 99%

Progressive left ventricular dysfunction and myocardial fibrosis in Duchenne and Becker muscular dystrophy: a longitudinal cardiovascular magnetic resonance study

et al. 2018

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Section: Cmr Image Analysismentioning

confidence: 99%

Progressive left ventricular dysfunction and myocardial fibrosis in Duchenne and Becker muscular dystrophy: a longitudinal cardiovascular magnetic resonance study

et al. 2018

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“…CT may demonstrate focal wall thickening or thinning in the acute and chronic stages, respectively, with regional motion abnormalities. On DIE images, midmyocardial or sub-epicardial DIE indicative of fibrosis may be seen similar to that seen in cases of myocarditis ( Figure 7) (69). The presence of fibrosis has shown to predict adverse cardiac outcomes of these patients (72).…”

mentioning

confidence: 73%

“…Infiltrative cardiomyopathies are characterized by concentric LV thickening and CT has been shown to correlate well with MRI in the characterization of these cardiomyopathies, including sarcoidosis and amyloidosis (69,70). Cardiac involvement in sarcoidosis has been shown to be present in up to 5% of patients with systemic sarcoidosis (71).…”

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confidence: 99%

Computed tomography of cardiomyopathies

Kalisz

Rajiah

2017

Cardiovasc. Diagn. Ther.

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Cardiac computed tomography (CT) is increasingly used in the evaluation of cardiomyopathies, particularly in patients who are not able to undergo other non-invasive imaging tests such as magnetic resonance imaging (MRI) due to the presence of MRI-incompatible pacemakers/defibrillators or other contraindications or due to extensive artifacts from indwelling metallic devices. Advances in scanner technology enable acquisition of CT images with high spatial resolution, good temporal resolution, wide field of view and multi-planar reconstruction capabilities. CT is useful in cardiomyopathies in several ways, particularly in the evaluation of coronary arteries, characterization of cardiomyopathy phenotype, quantification of cardiac volumes and function, treatment-planning, and post-treatment evaluation. In this article, we review the imaging techniques and specific applications of CT in the evaluation of cardiomyopathies.

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“…Compared to FBP and iDose 4 , IMR has demonstrated improved image quality and higher diagnostic performance of late iodine enhancement images for detecting MI (72). Late iodine enhancement images reconstructed with IMR also showed high sensitivity for detecting cardiac sarcoidosis compared to MRI (73). IMR also showed utility for epicardial fat quantification which is sensitive to image noise; IMR demonstrated improved image quality and reduced inter-observer variability for epicardial fat quantification (74).…”

Section: Other Applicationsmentioning

confidence: 97%

The role of advanced reconstruction algorithms in cardiac CT

Halliburton

Tanabe

Partovi

et al. 2017

Cardiovasc. Diagn. Ther.

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Advanced non-linear iterative reconstruction (IR) algorithms have been introduced by all vendors as an alternative to traditional, linear filtered back projection (FBP) reconstruction ( Table 1). FBP is a simple reconstruction technique that requires relatively little computational processing, but is associated with higher noise and poor contrast resolution. Noise can be reduced in FBP only by increasing the radiation dose. IR algorithms operate by initially generating an expected dataset based on modeling, which is then compared to the actual, acquired dataset. Noise is detected and removed by using the difference between the anticipated and actual datasets using a process of iterative steps. All commercial IR algorithms employ statistics-model based de-noising in the image domain, raw (projection) data domain, or both. Statistics model-based algorithms operate by assigning a lower value to data with higher statistical uncertainty (noise). Some IR algorithms, described as partial model-based, additionally employ models of scanner geometry to estimate the acquired data. Full model-based IR algorithms, employ complete system models that include simulation of X-ray interaction with the imaged object. Statistics-model based algorithms can be utilized to either improve image quality at the same radiation dose or maintain image quality at a lower radiation dose compared to FBP. However, combining dose management with image quality improvements simultaneously is limited. Model-based IR can provide image quality improvements at lower doses. Model-based algorithms are also more likely to reduce other artifacts in addition to noise as well as improve spatial resolution.Although IR algorithms have been utilized in nuclear medicine for several decades, widespread use in CT is recent and facilitated by advances in computational processing. Cardiovascular CT imagers were early adopters of IR algorithms because most cardiovascular clinical targets are robust to changes in noise. Rigorous validation has come from both retrospective and prospective studies demonstrating non-inferiority of coronary CT data acquired at lower doses and reconstructed with IR techniques compared to standard dose data reconstructed with FBP. Other clinical studies have validated the diagnostic utility of low-dose coronary CT angiograms (CTA) reconstructed with IR algorithms using invasive coronary angiography (ICA) as a standard of reference (1-3).

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Delayed contrast-enhanced computed tomography in patients with known or suspected cardiac sarcoidosis: A feasibility study

Cited by 39 publications

References 36 publications

Progressive left ventricular dysfunction and myocardial fibrosis in Duchenne and Becker muscular dystrophy: a longitudinal cardiovascular magnetic resonance study

Progressive left ventricular dysfunction and myocardial fibrosis in Duchenne and Becker muscular dystrophy: a longitudinal cardiovascular magnetic resonance study

Computed tomography of cardiomyopathies

The role of advanced reconstruction algorithms in cardiac CT

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