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| Verfasst von: | Vellala, Abhinay K. [VerfasserIn]  |
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| | Mogler, Carolin [VerfasserIn] |
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| | Haag, Florian [VerfasserIn] |
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| | Tollens, Fabian [VerfasserIn] |
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| | Rudolf, Henning [VerfasserIn] |
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| | Pietsch, Friedrich L. [VerfasserIn] |
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| | Wängler, Carmen [VerfasserIn] |
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| | Wängler, Björn [VerfasserIn] |
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| | Schönberg, Stefan [VerfasserIn] |
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| | Froelich, Matthias F. [VerfasserIn] |
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| | Hertel, Alexander [VerfasserIn] |
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| Titel: | Comparing quantitative image parameters between animal and clinical CT-scanners |
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| Titelzusatz: | a translational phantom study analysis |
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| Verf.angabe: | Abhinay Vellala, Carolin Mogler, Florian Haag, Fabian Tollens, Henning Rudolf, Friedrich Pietsch, Carmen Wängler, Björn Wängler, Stefan O. Schoenberg, Matthias F. Froelich and Alexander Hertel |
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| E-Jahr: | 2024 |
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| Jahr: | 05 June 2024 |
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| Umfang: | 9 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Gesehen am 11.11.2024 |
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| Titel Quelle: | Enthalten in: Frontiers in medicine |
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| Ort Quelle: | Lausanne : Frontiers Media, 2014 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 11(2024) vom: 5. Juni, Artikel-ID 1407235, Seite 1-9 |
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| ISSN Quelle: | 2296-858X |
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| Abstract: | <sec id="sec1"><title>Purpose</title><p>This study compares phantom-based variability of extracted radiomics features from scans on a photon counting CT (PCCT) and an experimental animal PET/CT-scanner (Albira II) to investigate the potential of radiomics for translation from animal models to human scans. While oncological basic research in animal PET/CT has allowed an intrinsic comparison between PET and CT, but no 1:1 translation to a human CT scanner due to resolution and noise limitations, Radiomics as a statistical and thus scale-independent method can potentially close the critical gap.</p></sec><sec id="sec2"><title>Methods</title><p>Two phantoms were scanned on a PCCT and animal PET/CT-scanner with different scan parameters and then the radiomics parameters were extracted. A Principal Component Analysis (PCA) was conducted. To overcome the limitation of a small dataset, a data augmentation technique was applied. A Ridge Classifier was trained and a Feature Importance- and Cluster analysis was performed.</p></sec><sec id="sec3"><title>Results</title><p>PCA and Cluster Analysis shows a clear differentiation between phantom types while emphasizing the comparability of both scanners. The Ridge Classifier exhibited a strong training performance with 93% accuracy, but faced challenges in generalization with a test accuracy of 62%.</p></sec><sec id="sec4"><title>Conclusion</title><p>These results show that radiomics has great potential as a translational tool between animal models and human routine diagnostics, especially using the novel photon counting technique. This is another crucial step towards integration of radiomics analysis into clinical practice.</p></sec> |
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| DOI: | doi:10.3389/fmed.2024.1407235 |
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| URL: | kostenfrei: Volltext: https://doi.org/10.3389/fmed.2024.1407235 |
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| | kostenfrei: Volltext: https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2024.1407235/full |
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| | DOI: https://doi.org/10.3389/fmed.2024.1407235 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Animal Models |
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| | Diagnostic integration |
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| | Photon counting CT |
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| | Radiomics |
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| | translation |
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| K10plus-PPN: | 1908236108 |
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| Verknüpfungen: | → Zeitschrift |
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| Lokale URL UB: |  Zum Volltext |
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Comparing quantitative image parameters between animal and clinical CT-scanners / Vellala, Abhinay K. [VerfasserIn]; 05 June 2024 (Online-Ressource)
