Multiparametric evaluation of radiomics features and dual-energy CT iodine maps for discrimination and outcome prediction of thymic masses
Rationale and Objectives: To investigate the diagnostic value of radiomics features and dual-source dual-energy CT (DECT) based material decomposition in differentiating low-risk thymomas, high-risk thymomas, and thymic carcinomas.Materials and Methods: This retrospective study included 32 patients...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
December 2023
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| In: |
Academic radiology
Year: 2023, Jahrgang: 30, Heft: 12, Pages: 3010-3021 |
| ISSN: | 1878-4046 |
| DOI: | 10.1016/j.acra.2023.03.034 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.acra.2023.03.034 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1076633223001708?via%3Dihub 
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| Verfasserangaben: | Scherwin Mahmoudi, MD, Leon D. Gruenewald, MD, Katrin Eichler, MD, Friederike C. Althoff, MD, Simon S. Martin, MD, Simon Bernatz, MD, Christian Booz, MD, Ibrahim Yel, MD, Maximilian N. Kinzler, MD, Nicole Suarez Ziegengeist, Katerina Torgashov, Hanin Mohammed, Tobias Geyer, Jan-Erik Scholtz, MD, Renate M. Hammerstingl, MD, Christophe Weber, MD, Stefan E. Hardt, MD, Christof M. Sommer, MD, Tatjana Gruber-Rouh, MD, David M. Leistner, MD, Thomas J. Vogl, MD, Vitali Koch MD |
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| 245 | 1 | 0 | |a Multiparametric evaluation of radiomics features and dual-energy CT iodine maps for discrimination and outcome prediction of thymic masses |c Scherwin Mahmoudi, MD, Leon D. Gruenewald, MD, Katrin Eichler, MD, Friederike C. Althoff, MD, Simon S. Martin, MD, Simon Bernatz, MD, Christian Booz, MD, Ibrahim Yel, MD, Maximilian N. Kinzler, MD, Nicole Suarez Ziegengeist, Katerina Torgashov, Hanin Mohammed, Tobias Geyer, Jan-Erik Scholtz, MD, Renate M. Hammerstingl, MD, Christophe Weber, MD, Stefan E. Hardt, MD, Christof M. Sommer, MD, Tatjana Gruber-Rouh, MD, David M. Leistner, MD, Thomas J. Vogl, MD, Vitali Koch MD |
| 264 | 1 | |c December 2023 | |
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| 500 | |a Online verfügbar: 25. April 2023, Artikelversion: 27. November 2023 | ||
| 500 | |a Gesehen am 20.02.2024 | ||
| 520 | |a Rationale and Objectives: To investigate the diagnostic value of radiomics features and dual-source dual-energy CT (DECT) based material decomposition in differentiating low-risk thymomas, high-risk thymomas, and thymic carcinomas.Materials and Methods: This retrospective study included 32 patients (16 males, mean age 66 +/- 14 years) with pathologically confirmed thymic masses who underwent contrast-enhanced DECT between 10/2014 and 01/2023. Two experienced readers evaluated all patients regarding conventional radiomics features, as well as DECT-based features, including attenuation (HU), iodine density (mg/mL), and fat fraction (%). Data comparisons were performed using analysis of variance and chi-square statistic tests. Receiver operating character-istic curve analysis and Cox-regression tests were used to discriminate between low-risk/high-risk thymomas and thymic carcinomas.Results: Of the 32 thymic tumors, 12 (38%) were low-risk thymomas, 11 (34%) were high-risk thymomas, and 9 (28%) were thymic carcinomas. Values differed significantly between low-risk thymoma, high-risk thymoma, and thymic carcinoma regarding DECT-based features (p <= 0.023) and 30 radiomics features (p <= 0.037). The area under the curve to differentiate between low-risk/high-risk thymomas and thymic cancer was 0.998 (95% CI, 0.915-1.000; p < 0.001) for the combination of DECT imaging parameters and radiomics features, yielding a sensitivity of 100% and specificity of 96%. During a follow-up of 60 months (IQR, 35-60 months), the multiparametric approach including radiomics features, DECT parameters, and clinical parameters showed an excellent prognostic power to predict all-cause mortality (c-index = 0.978 [95% CI, 0.958-0.998], p = 0.003).Conclusion: A multiparametric approach including conventional radiomics features and DECT-based features facilitates accurate, non-invasive discrimination between low-risk/high-risk thymomas and thymic carcinomas. | ||
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a COMPUTED-TOMOGRAPHY | |
| 650 | 4 | |a DIAGNOSTIC-ACCURACY | |
| 650 | 4 | |a Iodine | |
| 650 | 4 | |a Mediastinal neoplasm | |
| 650 | 4 | |a Mediastinum | |
| 650 | 4 | |a Multidetector computed tomography | |
| 650 | 4 | |a SYSTEM | |
| 650 | 4 | |a Thymoma | |
| 650 | 4 | |a THYMOMA | |
| 700 | 1 | |a Gruenewald, Leon D. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Eichler, Katrin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Althoff, Friederike C. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Martin, Simon S. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Bernatz, Simon |e VerfasserIn |4 aut | |
| 700 | 1 | |a Booz, Christian |e VerfasserIn |4 aut | |
| 700 | 1 | |a Yel, Ibrahim |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kinzler, Maximilian N. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ziegengeist, Nicole Suarez |e VerfasserIn |4 aut | |
| 700 | 1 | |a Torgashov, Katerina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Mohammed, Hanin |e VerfasserIn |4 aut | |
| 700 | 1 | |a Geyer, Tobias |e VerfasserIn |4 aut | |
| 700 | 1 | |a Scholtz, Jan-Erik |e VerfasserIn |4 aut | |
| 700 | 1 | |a Hammerstingl, Renate M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Weber, Christophe |d 1986- |e VerfasserIn |0 (DE-588)1052039863 |0 (DE-627)787600199 |0 (DE-576)407752382 |4 aut | |
| 700 | 1 | |a Hardt, Stefan |e VerfasserIn |0 (DE-588)1028380585 |0 (DE-627)730637611 |0 (DE-576)375919309 |4 aut | |
| 700 | 1 | |a Sommer, Christof-Matthias |d 1978- |e VerfasserIn |0 (DE-588)133929701 |0 (DE-627)558738699 |0 (DE-576)278278035 |4 aut | |
| 700 | 1 | |a Gruber-Rouh, Tatjana |e VerfasserIn |4 aut | |
| 700 | 1 | |a Leistner, David M. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Vogl, Thomas J. |e VerfasserIn |4 aut | |
| 700 | 1 | |a Koch, Vitali |e VerfasserIn |4 aut | |
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