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1000
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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Objectives</jats:title>
<jats:p>Metal artifacts remain a challenge in computed tomography. We investigated the potential of photon-counting computed tomography (PCD-CT) for metal artifact reduction using an iterative metal artifact reduction (iMAR) algorithm alone and in combination with high keV monoenergetic images (140 keV) in patients with dental hardware.</jats:p>
</jats:sec><jats:sec>
<jats:title>Material and methods</jats:title>
<jats:p>Consecutive patients with dental implants were prospectively included in this study and received PCD-CT imaging of the craniofacial area. Four series were reconstructed (standard [PCD-CT<jats:sub>std</jats:sub>], monoenergetic at 140 keV [PCD-CT<jats:sub>140keV</jats:sub>], iMAR corrected [PCD-CT<jats:sub>iMAR</jats:sub>], combination of iMAR and 140 keV monoenergetic [PCD-CT<jats:sub>iMAR+140keV</jats:sub>]). All reconstructions were assessed qualitatively by four radiologists (independent and blinded reading on a 5-point Likert scale [5 = excellent; no artifact]) regarding overall image quality, artifact severity, and delineation of adjacent and distant anatomy. To assess signal homogeneity and evaluate the magnitude of artifact reduction, we performed quantitative measures of coefficient of variation (CV) and a region of interest (ROI)–based relative change in artifact reduction [PCD-CT/PCD-CT<jats:sub>std</jats:sub>].</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>We enrolled 48 patients (mean age 66.5 ± 11.2 years, 50% (<jats:italic>n</jats:italic> = 24) males; mean BMI 25.2 ± 4.7 kg/m<jats:sup>2</jats:sup>; mean CTDI<jats:sub>vol</jats:sub> 6.2 ± 6 mGy). We found improved overall image quality, reduced artifacts and superior delineation of both adjacent and distant anatomy for the iMAR vs. non-iMAR reconstructions (all <jats:italic>p</jats:italic> < 0.001). No significant effect of the different artifact reduction approaches on CV was observed (<jats:italic>p</jats:italic> = 0.42). The ROI-based analysis indicated the most effective artifact reduction for the iMAR reconstructions, which was significantly higher compared to PCD-CT<jats:sub>140keV</jats:sub> (<jats:italic>p</jats:italic> < 0.001).</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>PCD-CT offers highly effective approaches for metal artifact reduction with the potential to overcome current diagnostic challenges in patients with dental implants.</jats:p>
</jats:sec><jats:sec>
<jats:title>Clinical relevance statement</jats:title>
<jats:p>Metallic artifacts pose a significant challenge in CT imaging, potentially leading to missed findings. Our study shows that PCD-CT with iMAR post-processing reduces artifacts, improves image quality, and can possibly reveal pathologies previously obscured by artifacts, without additional dose application.</jats:p>
</jats:sec><jats:sec>
<jats:title>Key Points</jats:title>
<jats:p>• <jats:italic>Photon-counting detector CT (PCD-CT) offers highly effective approaches for metal artifact reduction in patients with dental fillings/implants</jats:italic>.</jats:p>
<jats:p>• <jats:italic>Iterative metal artifact reduction (iMAR) is superior to high keV monoenergetic reconstructions at 140 keV for artifact reduction and provides higher image quality</jats:italic>.</jats:p>
<jats:p>• <jats:italic>Signal homogeneity of the reconstructed images is not affected by the different artifact reduction techniques</jats:italic>.</jats:p>
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1000
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Hinweis
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DeepGreen-ID: b800155008894d6eb83d4c96c0b6b1f3 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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