Evidence map›Paper›PMID 38739330›Full record

ArticleJournal of applied clinical medical physics2024

Optimization of photon counting CT for cardiac imaging in patients with left ventricular assist devices: An in-depth assessment of metal artifacts.

Bente Konst, Linus Ohlsson, Lilian Henriksson, Mårten Sandstedt, Anders Persson, Tino Ebbers

Abstract read
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Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

6 authors.

Bente KonstDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Linus OhlssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Lilian HenrikssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Mårten SandstedtCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Anders PerssonCenter for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.
Tino EbbersDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Funding

ALF Grants Region Östergötland # RÖ-987498CMIVFoundation Linköpings Läkaresällskap Research FundSweden's Innovation Agency VINNOVA # 2019- 02261Swedish Heart and Lung Foundation # 20210441Swedish Research Council # 2022-03931
6 · The paper itself

Abstract

purposePhoton counting CT (PCCT) holds promise for mitigating metal artifacts and can produce virtual mono-energetic images (VMI), while maintaining temporal resolution, making it a valuable tool for characterizing the heart. This study aimed to evaluate and optimize PCCT for cardiac imaging in patients during left ventricular assistance device (LVAD) therapy by conducting an in-depth objective assessment of metal artifacts and visual grading.

methodsVarious scan and reconstruction settings were tested on a phantom and further evaluated on a patient acquisition to identify the optimal protocol settings. The phantom comprised an empty thoracic cavity, supplemented with heart and lungs from a cadaveric lamb. The heart was implanted with an LVAD (HeartMate 3) and iodine contrast. Scans were performed on a PCCT (NAEOTOM Alpha, Siemens Healthcare). Metal artifacts were assessed by three objective methods: Hounsfield units (HU)/SD measurements (Diff

resultsDue to blooming artifacts, the LVAD volume fluctuated between 27.0 and 92.7 cm

conclusionWe found that optimal scan settings for LVAD imaging involved using 120 kVp and IQ level 80. Employing T3D with pacemaker iMAR, the sharpest allowed vascular kernel (Bv56f), and VMI at 110 keV with kernel Qr40 yields images suitable for cardiac imaging during LVAD-therapy. Volumetric measurements of the LVAD for determination of the extent of blooming artifacts was shown to be the best objective method to assess metal artifacts.

Indexed as

ArtifactsHeart-Assist DevicesMetalsPhantoms, ImagingPhotonsTomography, X-Ray ComputedAnimalsHeartHumansImage Processing, Computer-AssistedRadiographic Image Interpretation, Computer-AssistedSheepMetalsheartleft ventricular assistance devicemetal artifactmyocardiumphoton‐counting computed tomography

Identifiers

PMID38739330
PMCPMC11244676

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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.