Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
Methods And Results: Electronic database searches of PubMed, OVID-MEDLINE, and Cochrane Library were performed. The primary outcome was to compare the occurrence of a composite of cardiovascular outcomes in patients with severe AS undergoing AVR with elevated myocardial CT-ECV values versus patients with normal values. Secondary outcomes included all-cause mortality and heart failure (HF) related hospitalization. A total of 1223 patients undergoing AVR for severe AS were included in 10 studies: 524 patients with high values of CT-ECV and 699 with normal values of CT-ECV. The pooled CT-ECV cut-off to define elevated values and predict prognosis was 30.7% (95% CI: 28.5-33.7%). At a mean follow-up of 17.9±2.3 months after AVR, patients with elevated CT-ECV experienced a significantly higher number of cardiovascular events (43.4% vs 14.0%; OR:4.3, 95% CI:3.192/5.764, p <0.001). Regarding secondary outcomes, all-cause mortality occurred in 29.3% of patients with elevated CT-ECV vs 11.6% with CT-ECV below the cut-off (OR3.5, 95% CI:2.276/5.311, p<0.001), whereas HF hospitalization was observed in 25.5% vs 5.9% (OR 4.9, 95% CI: 2.283/10.376, p<0.001). Graphical Abstract.
Conclusion: Patients undergoing AVR for severe AS with elevated CT-ECV values experience a worse post-intervention prognosis. The implementation of CT-ECV evaluation in routine AVR planning protocols should be considered.
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http://dx.doi.org/10.1093/ehjci/jeae324 | DOI Listing |
Eur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFEur Radiol
December 2024
Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (LIE) images and enable accurate extracellular volume (ECV) quantification.
Methods: This study retrospectively included patients with chest discomfort who underwent CT myocardial perfusion + CT angiography + LIE from two hospitals. Two DL models, residual dense network (RDN) and conditional generative adversarial network (cGAN), were developed and validated.
Eur Heart J Cardiovasc Imaging
December 2024
Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
Aims: To investigate CT-derived extracellular volume fraction (CT-ECV) in patients with lone aortic stenosis (AS), dual pathology of AS and transthyretin cardiac amyloidosis (AS-ATTR), and lone ATTR, and to examine the diagnostic performance and optimal cutoff values of CT-ECV for differentiating between patients with lone AS and AS-ATTR, and between patients with lone AS and lone ATTR.
Methods And Results: This retrospective study included consecutive patients with severe AS (including lone AS and AS-ATTR) and lone ATTR who underwent CT-ECV analysis and technetium 99m pyrophosphate (99mTc-PYP) scintigraphy. The diagnostic performance of CT-ECV for detecting cardiac amyloidosis was evaluated using the area under the receiver operating characteristic curve (AUC).
Abdom Radiol (NY)
November 2024
Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Purpose: The extracellular matrix of adrenal metastases could be different from that of the adrenal adenomas, which may be characterized by the extracellular volume (ECV) fraction. This study aimed to assess the feasibility of ECV fraction derived from single-phase spectral CT for differentiating between adrenal metastases and adenomas.
Methods: This retrospective study included 163 patients with unilateral nodules, including lipid-poor adrenal adenoma (n = 52, group A), lipid-rich adrenal adenoma (n = 65, group B) and adrenal metastasis (n = 46, group C).
Int J Cardiovasc Imaging
November 2024
Victorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.
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