Evidence map›Paper›PMID 37296789›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Optimization of Kernel Type and Sharpness Level Improves Objective and Subjective Image Quality for High-Pitch Photon Counting Coronary CT Angiography.

Yang Yang, Nicola Fink, Tilman Emrich, Dirk Graafen, Rosa Richter, Stefanie Bockius, Elias V Wolf, Gerald Laux, Larissa Kavermann, Lukas Müller and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 23 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Yang YangDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Nicola FinkDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA.
Tilman EmrichDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.ORCID 0000-0003-4156-7727
Dirk GraafenDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Rosa RichterDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Stefanie BockiusDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Elias V WolfDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.ORCID 0000-0001-9342-5224
Gerald LauxDepartment of Cardiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Larissa KavermannDepartment of Cardiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Lukas MüllerDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Michaela HellDepartment of Cardiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.
Moritz C HalfmannDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstrasse 1, 55131 Mainz, Germany.ORCID 0000-0001-7550-0171
Johannes Gutenberg University Mainz · DEMedical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Photon-counting detector (PCD) CT offers a wide variety of kernels and sharpness levels for image reconstruction. The aim of this retrospective study was to determine optimal settings for coronary CT angiography (CCTA). (2) Methods: Thirty patients (eight female, mean age 63 ± 13 years) underwent PCD-CCTA in a high-pitch mode. Images were reconstructed using three different kernels and four sharpness levels (Br36/40/44/48, Bv36/40/44/48, and Qr36/40/44/48). To analyze objective image quality, the attenuation, image noise, contrast-to-noise ratio (CNR), and vessel sharpness were quantified in proximal and distal coronaries. For subjective image quality, two blinded readers assessed image noise, visually sharp reproduction of coronaries, and the overall image quality using a five-point Likert scale. (3) Results: Attenuation, image noise, CNR, and vessel sharpness significantly differed across kernels (all

Indexed as

coronary CT angiographyhigh-pitch Flash modeimage qualityphoton-counting detector CTreconstruction kernels

Identifiers

PMID37296789
PMCPMC10252999
OpenAlexW4379056099

What OpenQuestion holds

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LicenceCC BY
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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.