Quantitative evaluation of non-ischemic dilated cardiomyopathy by late iodine enhancement using rapid kV switching dual-energy computed tomography: A feasibility study

Ohta, Yoshiji; Kitao, Shinichiro; Yunaga, Hiroto; Watanabe, Tomomi; Mukai-Yatagai, Natsuko; Kishimoto, Junichi; Yamamoto, Kazuhide; Ogawa, Toshihide

doi:10.1016/j.jcct.2018.10.028

Cited by 7 publications

(12 citation statements)

References 30 publications

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“…Our results also confirmed a strong correlation of CT-ECV using iodine density maps from dual-layer spectral detector CT, with MRI-ECV demonstrating a small bias. Some recent studies have investigated the feasibility of CT-ECV in different cardiac diseases, including cardiac amyloidosis (22), hypertrophic cardiomyopathy (23), dilated cardiomyopathy (24), heart failure (7), and in hemodialysis patients (25). Ohta et al (24) evaluated CT-ECV in both nonischemic dilated cardiomyopathy patients and normal participants, and defined a threshold (a cutoff of 28.82%) to distinguish healthy myocardial tissue from dilated cardiomyopathy patients.…”

Section: A B Cmentioning

confidence: 99%

“…Some recent studies have investigated the feasibility of CT-ECV in different cardiac diseases, including cardiac amyloidosis (22), hypertrophic cardiomyopathy (23), dilated cardiomyopathy (24), heart failure (7), and in hemodialysis patients (25). Ohta et al (24) evaluated CT-ECV in both nonischemic dilated cardiomyopathy patients and normal participants, and defined a threshold (a cutoff of 28.82%) to distinguish healthy myocardial tissue from dilated cardiomyopathy patients. However, this study did not include ischemic cardiomyopathy patients, and the ECV results were not compared with MRI-ECV.…”

Section: A B Cmentioning

confidence: 99%

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Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging

Liu¹,

Lin²,

Xu³

et al. 2022

Quant Imaging Med Surg

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Background: To evaluate the segmental myocardial extracellular volume (ECV) fraction and to define a threshold ECV value that can be used to distinguish positive late gadolinium enhancement (LGE) segments from negative myocardial segments using dual-layer spectral detector computed tomography (SDCT), with magnetic resonance imaging (MRI) as a reference.Methods: Fifty-six subjects with cardiac disease or suspected cardiac disease, underwent both late iodine enhancement on CT (CT-LIE) scanning and late gadolinium enhancement on MRI (MRI-LGE) scanning.Each procedure occurred within a week of the other. Global and segmental ECVs of the left ventricle were measured by CT and MRI images. According to the location and pattern of delayed enhancement on MRI image, myocardial segments were classified into 3 groups: ischemic LGE segments (group 1), nonischemicLGE segments (group 2) and negative LGE segments (group 3). The correlation and agreement between CT-ECV and MRI-ECV were compared on a per-segment basis. Receiver operating characteristic (ROC) curve analysis was performed to establish a threshold for LIE detection.Results: Among the 56 patients, 896 segments were analyzed, and of these, 73 segments were in group 1, 229 segments were in group 2, and 594 segments were in group 3. In segmental analysis, CT-ECV in group 3 (27.0%; 24.9-28.9%) was significantly lower than that in group 1 (33.2%; 30.7-36.3%) and group 2 (34.9%; 32.3-39.8%; all P<0.001). Good correlations were seen between CT-ECV and MRI-ECV for all groups (group 1: r=0.920; group 2: r=0.936; group 3: r=0.799; all P<0.001). Bland-Altman analysis between CT-ECV and MRI-ECV showed a small bias in all 3 groups (group 1: -2.1%, 95% limits of agreement −11.3-7.1%; group 2: −0.6%, 95% limits of agreement −13.1-11.9%; group 3: 1.0%, 95% limits of agreement −12.7-14.7%). CT-ECV could differentiate between LGE-positive and LGE-negative segments with 83.1% sensitivity and 93.3% specificity at a cutoff of 31%.Conclusions: ECV values derived from CT imaging showed good correlation and agreement with MR imaging findings, and CT-ECV provided high diagnostic accuracy for discriminating between LGE-positive and LGE-negative segments. Thus, cardiac CT imaging might be a suitable noninvasive imaging technique for myocardial ECV quantification. 2 Liu et al. Quantitative analysis of myocardium using dual-layer SDCT

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Section: A B Cmentioning

confidence: 99%

Section: A B Cmentioning

confidence: 99%

Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging

Liu¹,

Lin²,

Xu³

et al. 2022

Quant Imaging Med Surg

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“…Для изучения величины показателя ВММ для фиброза в сравнении со здоровым миокардом было отобрано 6 работ, опубликованных в период с 2016 по 2021 г. [20][21][22][23][24][25].…”

Section: сравнение вмм для фиброза и непораженного миокардаunclassified

“…Данные были представлены в процентном соотношении. Анализ миокарда проводился в соответствии с 16-сегментным делением Американской ассоциации сердца (American Heart Association) [20][21][22][23][24][25].…”

Section: сравнение вмм для фиброза и непораженного миокардаunclassified

“…При анализе было отмечено, что величина ВММ была выше у пациентов с миокардиальным фиброзом. При этом в пяти публикациях величина рассчитанного ВММ колебалась в промежутке от 31,3 до 34,48%, а в одной работе значение было выше и составляло 37,4% (32,8-41,6%) [20][21][22][23][24][25].…”

Section: сравнение вмм для фиброза и непораженного миокардаunclassified

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Detection of extracellular myocardial matrix with Dual Energy computed tomography: systematic review and meta-analysis

Lisitskaya

Vershinina

Мершина

et al. 2022

Medicinskaâ vizualizaciâ

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Background. The amount of extracellular myocardial matrix is a non-invasive tool for quantitative assessment of myocardial fibrosis. MRI with late gadolinium-enhancement is considered to be the “Gold standard” of non-invasive practice. Dual Energy computed tomography is a new non-invasive approach for detection of myocardial fibrosis and its prognostic value remains unclear.The purpose of this study was to summarize all available data and to study prognostic value of DECT for the detection of fibrotic changes in myocardium.Methods. We searched MEDLINE, EMBASE, Cochrane, SCOPUS and Web of Science for cohort studies up to October 2021 that reported myocardial extracellular volume fraction quantification using contrast enhanced dual energy CT or/and MRI with delayed enhancement.Results. Eleven studies met eligibility criteria. A systematic analysis demonstrated the difference in extracellular volume fraction in patients with fibrotic and inflammation changes of the myocardium, as well as good comparability between DECT and MRI. The value of extracellular volume fraction in myocardium with fibrotic or inflammatory changes was higher than in healthy tissue, which makes it possible to use the ECV as a non-invasive marker of myocardial fibrosis.

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Hybrid Cardiac Imaging for the Specialist with Expertise in Cardiac Magnetic Resonance

Nickander

2022

Hybrid Cardiac Imaging for Clinical Decision-Making

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Quantitative evaluation of non-ischemic dilated cardiomyopathy by late iodine enhancement using rapid kV switching dual-energy computed tomography: A feasibility study

Cited by 7 publications

References 30 publications

Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging

Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging

Detection of extracellular myocardial matrix with Dual Energy computed tomography: systematic review and meta-analysis

Hybrid Cardiac Imaging for the Specialist with Expertise in Cardiac Magnetic Resonance

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