Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination and Outcome Prediction of Thymic Masses

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. This retrospective study included 32 patients (16 males, mean age 66 ± 14 years) with patholog...

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Veröffentlicht in:Academic radiology 2023-12, Vol.30 (12), p.3010-3021
Hauptverfasser: Mahmoudi, Scherwin, Gruenewald, Leon D., Eichler, Katrin, Althoff, Friederike C., Martin, Simon S., Bernatz, Simon, Booz, Christian, Yel, Ibrahim, Kinzler, Maximilian N., Ziegengeist, Nicole Suarez, Torgashov, Katerina, Mohammed, Hanin, Geyer, Tobias, Scholtz, Jan-Erik, Hammerstingl, Renate M., Weber, Christophe, Hardt, Stefan E., Sommer, Christof M., Gruber-Rouh, Tatjana, Leistner, David M., Vogl, Thomas J., Koch, Vitali
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Sprache:eng
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Zusammenfassung: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. 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 characteristic curve analysis and Cox-regression tests were used to discriminate between low-risk/high-risk thymomas and thymic carcinomas. 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 
ISSN:1076-6332
1878-4046
DOI:10.1016/j.acra.2023.03.034