Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications
Simple Summary
Abstract
1. Introduction
2. Visceral Artery Aneurysms: Diagnostic and Therapeutic Insights
3. Spectral CT Acquisition Techniques
Photon-Counting CT
4. Spectral CT Postprocessing Techniques in Vascular Pathology
4.1. Virtual Non-Contrast (VNC)
4.2. Iodine Maps
4.3. Virtual Non-Calcium
4.4. Virtual Monoenergetic Images (VMIs)
- Low-contrast volume protocols, especially in patients with renal impairment or when using slow injection rates [64].
- Detection and delineation of poorly enhancing lesions, such as hypovascular tumors or inflamed vessel walls [62].
- Stent evaluation, where improved luminal contrast enhances the assessment of luminal patency and in-stent abnormalities [9].
4.5. Material Decomposition
5. DECTA in the Detection of Visceral Aneurysms
5.1. VAAs: Diagnostic Challenges
5.2. Enhanced Aneurysm Detection with VMIs
5.3. Plaque vs. Aneurysm: Differentiation with Material Decomposition
5.4. Iodine Quantification May Predict Wall Weakness and Rupture
5.5. Emergency Detection and Characterization of Ruptured VAAs
6. DECTA in Post-Treatment Follow-Up of Visceral Aneurysms
6.1. Overview of VAAs Endovascular Treatment Techniques and Follow-Up
6.1.1. Coil Embolization
6.1.2. Covered and Flow-Diverting Stents
6.1.3. Percutaneous Approach
6.2. Surveillance Protocols and DECTA Optimization
6.3. DECTA for Endoleak Detection
6.4. Characterization and Typing of Endoleaks
6.5. Device Integrity and Artifact Reduction
6.6. Sac Volume Quantification and Remodeling
6.7. Radiation Dose and Contrast Agent Volume Reduction
7. Limitations
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| BEVAR | Branched Endovascular Aneurysm Repair |
| CNR | Contrast-to-Noise Ratio |
| CTA | Computed Tomography Angiography |
| DECT | Dual-Energy Computed Tomography |
| DECTA | Dual-Energy Computed Tomography Angiography |
| DSA | Digital Subtraction Angiography |
| EVAR | Endovascular Aneurysm Repair |
| FOV | Field of View |
| HPI | Hard Plaque Imaging |
| MAR | Metal Artifact Reduction |
| MD | Multidetector |
| PCCT | Photon-Counting Computed Tomography |
| SECT | Single-Energy Computed Tomography |
| TNC | True Non-Contrast |
| US | UltraSonography |
| VAA | Visceral Artery Aneurysm |
| VAPA | Visceral Artery Pseudoaneurysm |
| VMI | Virtual Monochromatic Imaging |
| VNC | Virtual Non-Contrast |
| VNCa | Virtual Non-Calcium |
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| Dual Source | Rapid kV Switching | Dual Spin- Computed Tomography | Split-Beam Computed Tomography | Dual-Layer | |
|---|---|---|---|---|---|
| Description | Two orthogonally mounted x-ray source-detector pairs | Rapid kVp switching between two energy levels | Sequential acquisitions at different tube potentials | Z-axis beam splitting using spectral filtration | Dual-layer detectors separating low- and high-energy photons |
| N. Tubes | 2 | 1 | 1 | 1 | 1 |
| N. Detector arrays | 2 | 1 | 1 | 1 | 1 (Layered) |
| kVp | 70, 80, 90, 100/150 Sn * | 80/140 | 80/135 | 120 Au-Sn ** | 120, 14 |
| Maximum tube current/ modulation | 1300 1200/800/ Yes | 570/ No | 580/Yes | 800/Yes | 1000, 750/ Yes |
| FoV (cm) | 35.5 | 50 | 50 | 50 | 50 |
| z-axis (mm) | 57.6 | 40–80 | 40–160 | 38.4 | 40 |
| Pitch | 0.3/1.2 | 0.5–1.5 | up to 1.5 | 0.25–0.45 | 0.1–1.8 |
| Fastest Rotation Time (sec) | 0.25 | 0.5 | 0.27 | 0.28 | 0.27 |
| Need to selection | Yes | yes | yes | yes | No |
| Workflow change | Yes | yes | yes | yes | No |
| Advantages | Faster rotation time; dose-neutral compared with SECT | Up to a 50 cm field of view | Wider coverage per acquisition | Lower cost compared with dual-source CT | DECT always active at 120/140 kV; rotation time can be as fast as 0.28 s |
| Limitations | Limited Field of view | No automatic exposure control; higher dose; slower speed | Possible misregistration of high-and low kV images; longer acquisition time; limited use for dynamic contrast-enhanced CT | Slower scanning due to only half of the detector (2 cm) being active per photon energy | Higher radiation dose |
| Reconstruction Technique | Advantage | Application |
|---|---|---|
| Material Decomposition | Decompose material into their elemental components | Separation of calcium from iodine Plaque characterization |
| Iodine Maps | Iodine distribution in tissues | Improved endoleak detection and characterization |
| Virtual Non-Calcium | Robust calcium subtraction method | Assessing narrow artery stenosis, reducing blooming artifacts from calcified plaque Mitigating the problem of overestimation of stenosis on conventional CTA images |
| Virtual non contrast | Non-contrast scan can be omitted, reduction in number of phases of examination | Reduction in radiation dose Characteristic of incidental findings in abbreviated examination protocols (without True Non-Contrast phase) Iodine-calcium assessment in tissues and vessel (e.g., endoleak) |
| Virtual Monoenergetic Images | Mimic the attenuation values of an image obtained with single energy at different Kev values | |
| Low KeV Virtual Monoenergetic Images | Higher sensitivity for iodine improving its contrast | Improved detection and delineation of poorly enhancing lesions Improved endoleak detection and stent visualization Assessment of coronary vasculature and functional evaluation of the myocardium Contrast dose reduction and salvage of suboptimal contrast examination |
| High KeV Virtual Monoenergetic Images | Reduction in calcium blooming, beam-hardening and metal artifacts | Reduced artifacts from stent grafts and embolic materials Better visualization of stent lumen Improved visualization of calcified vessels |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Cacioppa, L.M.; Cellina, M.; Agliata, G.; Mariotti, F.; Rossini, N.; Valeri, T.; Francavilla, G.; Felicioli, A.; Bruno, A.; Rosati, M.; et al. Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications. Tomography 2026, 12, 22. https://doi.org/10.3390/tomography12020022
Cacioppa LM, Cellina M, Agliata G, Mariotti F, Rossini N, Valeri T, Francavilla G, Felicioli A, Bruno A, Rosati M, et al. Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications. Tomography. 2026; 12(2):22. https://doi.org/10.3390/tomography12020022
Chicago/Turabian StyleCacioppa, Laura Maria, Michaela Cellina, Giacomo Agliata, Francesco Mariotti, Nicolo’ Rossini, Tommaso Valeri, Giangabriele Francavilla, Alessandro Felicioli, Alessandra Bruno, Marzia Rosati, and et al. 2026. "Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications" Tomography 12, no. 2: 22. https://doi.org/10.3390/tomography12020022
APA StyleCacioppa, L. M., Cellina, M., Agliata, G., Mariotti, F., Rossini, N., Valeri, T., Francavilla, G., Felicioli, A., Bruno, A., Rosati, M., Candelari, R., & Floridi, C. (2026). Spectral Computed Tomography Angiography in Visceral Artery Aneurysms: Technical Principles and Clinical Applications. Tomography, 12(2), 22. https://doi.org/10.3390/tomography12020022

