ArticleJournal of neurointerventional surgery2025
Ultra-high resolution CT angiography for the assessment of intracranial stents and flow diverters using photon counting detector CT.
Article in Journal of neurointerventional surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Clinical Implementation and Performance of Real-Time AI System for Device Tracking in Neurointervention: First U.S. Evaluation of Neuro-Vascular Assist.Clinical neuroradiology · 2026Article
- Non-contrast computed tomography at the end of the acute care phase as an additional prognostic tool after aneurysmal subarachnoid hemorrhage.Neurosurgical review · 2026Article
- Optimizing virtual monoenergetic imaging for dual‑energy CT venography assessment of intracranial venous sinus stents.Neuroradiology · 2026Article
- Ultra-High-Resolution Photon-Counting CT Angiography for Noninvasive Detection of Neurovascular In-Stent Restenosis.Stroke · 2026Article
- Clinical benefits and current challenges of photon-counting detector CT in vascular imaging.Radiology advances · 2026Review
- SWOT to know: Is the future of photon-counting detector CT in neuroradiology uncertain?European radiology · 2026Article
- Improved Computed Tomography Imaging Post-Flow Diverter Treatment Using a SOMATOM X.Cite Scanner.Journal of neuroendovascular therapy · 2026Article
- Clinical Utility and Limitations of Photon-Counting Detector CTA in the Follow-Up of Flow Diverter Stent.Journal of neuroendovascular therapy · 2026Article
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Authors and funding
13 authors.
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Abstract
backgroundThe patency of intracranial stents may not be reliably assessed with either CT angiography or MR angiography due to imaging artifacts. We investigated the potential of ultra-high resolution CT angiography using a photon counting detector (PCD) CT to address this limitation by optimizing scanning and reconstruction parameters.
methodsA phantom with different flow diverters was used to optimize PCD-CT reconstruction parameters, followed by imaging of 14 patients with intracranial stents using PCD-CT. Images were reconstructed using three kernels based on the phantom results (Hv56, Hv64, and Hv72; Hv=head vascular) and one kernel to virtually match the resolution of standard CT angiography (Hv40). Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) measurements were calculated. Subjective image quality and diagnostic confidence (DC) were assessed using a five point visual grading scale (5=best, 1=worst) and a three point grading scale (1=best, 3=worst), respectively, by two independent neuroradiologists.
resultsPhantom images demonstrated the highest image quality across dose levels for 0.2 mm reconstructions with Hv56 (4.5), Hv64 (5), and Hv72 (5). In patient images, SNR and CNR decreased significantly with increasing kernel sharpness compared with control parameters. All reconstructions showed significantly higher image quality and DC compared with the control reconstruction with Hv40 kernel (P<0.001), with both image quality and DC being highest with Hv64 (0.2 mm) and Hv72 (0.2 mm) reconstructions.
conclusionUltra-high resolution PDC-CT angiography provides excellent visualization of intracranial stents, with optimal reconstructions using the Hv64 and the Hv72 kernels at 0.2 mm. REGISTRATION: BASEC 2021-00343.
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