Evidence map›Paper›PMID 41053517›Full record

ArticleLa Radiologia medica2026

Impact of low-energy virtual monoenergetic imaging in photon-counting CT for pre-TAVI pelvic arteries visualization.

Leona S Alizadeh, Christian Booz, Thomas J Vogl, Ludovica R M Lanzafame, Simon S Martin, Ibrahim Yel, Leon D Gruenewald, Vitali Koch, Tommaso D'Angelo, Silvio Mazziotti and 7 more

Abstract read
In one paragraph

Article in La Radiologia medica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

17 authors.

Leona S AlizadehDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Christian BoozDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Thomas J VoglDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Ludovica R M LanzafameDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Simon S MartinDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Ibrahim YelDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Leon D GruenewaldDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Vitali KochDepartment of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany.
Tommaso D'AngeloDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital, Frankfurt, Germany. tommasodang@gmail.com.ORCID http://orcid.org/0000-0003-0004-6378
Silvio MazziottiDiagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital Messina, 98124, Messina, Italy.
Kerstin SmolkaDepartment of Diagnostic and Interventional Radiology, Bundeswehr Central Hospital Koblenz, 56072, Koblenz, Germany.
Grit BrauneggerDepartment of Diagnostic and Interventional Radiology, Bundeswehr Central Hospital Koblenz, 56072, Koblenz, Germany.
Daniel DillingerDepartment of Vascular Surgery and Endovascular Surgery, Bundeswehr Central Hospital Koblenz, Rübenacher Straße 170, 56072, Koblenz, Germany.
Leonhard KaatschDepartment of Diagnostic and Interventional Radiology, Bundeswehr Central Hospital Koblenz, 56072, Koblenz, Germany.
Daniel OverhoffDepartment of Diagnostic and Interventional Radiology, Bundeswehr Central Hospital Koblenz, 56072, Koblenz, Germany.
Niklas VerlohDepartment of Diagnostic and Interventional Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Stephan S WaldeckDepartment of Diagnostic and Interventional Radiology, Bundeswehr Central Hospital Koblenz, 56072, Koblenz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to assess the impact of photon-counting computed tomography (PCCT) virtual monoenergetic images (VMI) on quantitative and qualitative parameters in abdominal and pelvic vascular imaging for transcatheter aortic valve implantation (TAVI) planning. MATERIAL AND

methodsA retrospective analysis of 125 patients undergoing dual-source PCCT scans before TAVI procedures was conducted. Reconstructions included polychromatic (T3D) images, leveraging multiple photon energy levels and VMI series spanning 40-100 keV in 15 keV increments. Quantitative parameters (signal-to-noise ratio [SNR] and contrast-to-noise ratio [CNR]) were evaluated. Qualitative assessments by three radiologists used clinically relevant five-point scales for overall image quality, TAVI access site suitability, and confidence in TAVI measurements.

resultsVMI reconstructions, particularly at 40 and 55 keV, demonstrated significantly higher SNR and CNR than T3D reconstructions (p < 0.001). T3D reconstructions had a mean noise of 12.61 ± 6.12, comparable to 100 keV VMI reconstructions (14.77 ± 8.23, p > 0.05). In qualitative evaluation, 55 keV VMI images scored highest in overall image quality and TAVI access site assessability, followed by 70 keV VMI reconstructions.

conclusionLow-keV PCCT VMI reconstructions provided superior quantitative and qualitative image quality for abdominal and pelvic vascular imaging in TAVI planning. Notably, 55 keV reconstructions showed an image quality reserve over T3D images, aiding confidence in TAVI-related measurements and enabling possible future reductions in contrast agent use, emphasizing the relevance of VMI techniques in optimizing TAVI imaging protocols.

Indexed as

PelvisTomography, X-Ray ComputedTranscatheter Aortic Valve ReplacementAgedAged, 80 and overFemaleHumansMalePhotonsRetrospective StudiesSignal-To-Noise RatioPelvic arteriesPhoton-counting CTTranscatheter aortic valve replacementTransfemoral accessVirtual monoenergetic Imaging

Identifiers

PMID41053517
PMCPMC12872712

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.