Evidence map›Paper›PMID 42255376›Full record

ArticleJournal of vascular surgery cases and innovative techniques2026

Technical advances and clinical impact of photon-counting computed tomography angiography for peripheral artery disease.

Mia Zivkovic, Daniel Raskin, Patrick Ghibes, Elle Beck, Abraham Levitin, Sean P Lyden, Boris Khaitovich, Sasan Partovi, Lee Kirksey

Abstract read
In one paragraph

Article in Journal of vascular surgery cases and innovative techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mia ZivkovicDepartment of Interventional Radiology, Cleveland Clinic, Cleveland, OH.
Daniel RaskinDepartment of Interventional Radiology, Cleveland Clinic, Cleveland, OH.
Patrick GhibesDepartment of Radiology, University Hospital of Tuebingen, Tuebingen, Germany.
Elle BeckDepartment of Interventional Radiology, Cleveland Clinic, Cleveland, OH.
Abraham LevitinDepartment of Interventional Radiology, Cleveland Clinic, Cleveland, OH.
Sean P LydenVascular Surgery, Heart Vascular and Thoracic Institute Cleveland Clinic, Cleveland, OH.
Boris KhaitovichDiagnostic Imaging Department, Sheba Medical Center, Tel Hashomer, Affiliated to Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Sasan PartoviDepartment of Interventional Radiology, Cleveland Clinic, Cleveland, OH.
Lee KirkseyVascular Surgery, Heart Vascular and Thoracic Institute Cleveland Clinic, Cleveland, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accurate cross-sectional imaging is essential for diagnosis, procedural planning, and postintervention surveillance in patients with peripheral artery disease (PAD). Conventional computed tomography angiography (CTA) is limited by calcium blooming, beam hardening, and reduced diagnostic accuracy in small and heavily calcified vessels. Photon-counting computed tomography angiography (PCCTA) represents a recent technological advancement with the potential to overcome these limitations. This review summarizes the technical principles of PCCTA and evaluates current evidence regarding its image quality, diagnostic performance, and clinical implications in PAD. Methods: A narrative review of peer-reviewed literature and scientific presentations was performed using MEDLINE, Scopus, and Google Scholar from database inception through October 22, 2025. Search terms included "photon-counting CT," "photon-counting computed tomography angiography," "peripheral artery disease," "below-the-knee angiography," and "ultra-high-resolution CT." Studies evaluating image quality, diagnostic accuracy, reconstruction techniques, and clinical applications of PCCTA in peripheral artery disease were included. Results: PCCTA utilizes energy-resolving detectors that directly count and bin individual X-ray photons, enabling true spectral imaging, reduced electronic noise, and smaller detector pixel sizes. These features result in improved spatial resolution, higher contrast-to-noise and signal-to-noise ratios, and marked reduction of calcium blooming and beam-hardening artifacts. Multiple cadaveric, phantom, and in vivo studies demonstrate superior visualization of infrapopliteal vessels and stented arterial segments compared with energy-integrating and dual-energy CT systems. Reported sensitivity, specificity, and accuracy for PCCTA stenosis grading in PAD imaging reach approximately 96%, 97%, and 97%, respectively, incrementally exceeding those of conventional and dual-energy CT techniques, particularly in heavily calcified and below-the-knee vasculature. Optimization strategies, including sharp reconstruction kernels, high iterative reconstruction levels, and submillimeter slice thickness, further enhance diagnostic confidence. PCCTA also allows for substantial reductions in iodine contrast volume and radiation dose while maintaining diagnostic image quality. Conclusions: PCCTA represents a significant advancement in lower extremity arterial imaging for PAD. Improved visualization of small, calcified, and stented vessels enhances diagnostic accuracy, procedural planning, and postintervention surveillance. Although widespread adoption is currently limited by cost and scanner availability, emerging evidence suggests PCCTA may redefine cross-sectional imaging in PAD and improve patient-specific treatment strategies. However, further large-scale, prospective research is needed to establish the diagnostic benefits this modality in the clinical space.

Indexed as

Computed tomographyImagingPeripheral artery disease

Identifiers

PMID42255376
PMCPMC13241990

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.