Transcatheter Aortic Valve Implantation (TAVI) Planning with Dual-Layer Spectral CT Using Virtual Monoenergetic Image (VMI) Reconstructions and 20 mL of Contrast Media.
Federico FontanaFilippo PiacentinoAroa GnesuttaEdoardo MacchiAndrea CoppolaAngiola SaccomannoTonia GattaChiara RecaldiniManuela MinennaClaudio TamboriniFilippo DossiVelio AscentiSimone BarberaGiuseppe CiceroGiulio CarcanoGiorgio AscentiBattistina CastiglioniMassimo VenturiniPublished in: Journal of clinical medicine (2024)
Transcatheter aortic valve implantation (TAVI) is a less invasive alternative to surgical implantation and its implementation is progressively increasing worldwide. We routinely perform pre-procedural aortic angiography CT to assess aortic dimensions and vascular anatomy. This study aims to evaluate the image quality of CTA for TAVI planning using dual-layer spectral CT, with virtual monoenergetic image reconstructions at 40 keV. Thirty-one patients underwent a CTA protocol with the injection of 20 mL of contrast media. Image quality was assessed by measuring the mean density in Hounsfield Units (HU), the signal-to-noise ratio, and the contrast-to-noise ratio in VMI reconstructions. Additionally, a blinded subjective analysis was conducted by two observers. The results showed significant enhancement at all sampled vascular levels with a gradual decrease in HU from proximal to distal regions. Favourable subjective ratings were given for all parameters, with greater variability in the evaluation of iliac axes. A significant negative correlation ( p < 0.05) was observed between BMI and CA at all vascular levels, indicating reduced contrast enhancement with increasing BMI. Spectral CT, along with reducing iodine load, allows for obtaining high-quality images without a significant increase in noise. The reduction in iodine load can have positive implications in clinical practice, improving patient safety and resource efficiency.
Keyphrases
- peritoneal dialysis
- image quality
- dual energy
- transcatheter aortic valve implantation
- end stage renal disease
- aortic valve
- computed tomography
- contrast enhanced
- aortic valve replacement
- aortic stenosis
- patient safety
- transcatheter aortic valve replacement
- magnetic resonance
- optical coherence tomography
- deep learning
- ejection fraction
- magnetic resonance imaging
- left ventricular
- air pollution
- body mass index
- clinical practice
- positron emission tomography
- convolutional neural network
- weight gain
- healthcare
- coronary artery disease
- primary care
- clinical trial
- randomized controlled trial
- newly diagnosed
- chronic kidney disease
- prognostic factors
- coronary artery
- pet ct
- atrial fibrillation