Spectral imaging with dual-layer spectral detector computed tomography for the detection of perfusion defects in acute coronary syndrome.
Junji MochizukiTakeshi NakauraNaofumi YoshidaYasunori NagayamaMasafumi KidohHiroyuki UetaniYoshinori FunamaYoshiki HataMinako AzumaToshinori HiraiPublished in: Heart and vessels (2022)
To evaluate the feasibility of spectral imaging with dual-layer spectral detector computed tomography (CT) for the diagnosis of acute coronary syndrome. We identified 30 consecutive patients who underwent cardiac CT using dual-layer spectral detector CT and were diagnosed with acute ischemic syndrome by an invasive coronary angiography. We reconstructed 120 kVp images and generated virtual monochromatic images (VMIs; 40-200 keV in 10 keV increments), iodine concentration maps, and effective atomic number (Z) maps. We calculated the contrast and contrast-to-noise ratio (CNR) between myocardial normal and hypo-perfusion and chose the VMIs with the best CNR for quantitative analysis. We compared the image noise, contrast, and CNR of 120 kVp images and the best VMIs, CT value, iodine concentration, and effective Z between myocardial normal and hypo-perfusion with the paired t test. As the X-ray energy decreased, venous attenuation, contrast, and CNR gradually increased. The 40 keV image yielded the best CNR. The contrast and CNR between myocardial normal and hypo-perfusion were significantly higher in 40 keV images than those in 120 kVp images. The iodine concentration and the effective Z were significantly higher in normal myocardium than those in hypo-perfused myocardium. Spectral imaging with dual-layer spectral detector CT is a feasible technique to detect the hypo-perfused area of acute ischemic syndrome.
Keyphrases
- dual energy
- contrast enhanced
- image quality
- computed tomography
- deep learning
- magnetic resonance imaging
- magnetic resonance
- acute coronary syndrome
- optical coherence tomography
- positron emission tomography
- convolutional neural network
- left ventricular
- high resolution
- liver failure
- respiratory failure
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- percutaneous coronary intervention
- oxidative stress
- ischemia reperfusion injury
- prognostic factors
- air pollution
- atrial fibrillation
- machine learning
- drug induced
- extracorporeal membrane oxygenation
- aortic dissection
- mechanical ventilation
- real time pcr
- subarachnoid hemorrhage
- quantum dots
- hepatitis b virus