Advanced biomedical imaging for accurate discrimination and prognostication of mediastinal masses

6Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: To investigate the potential of radiomic features and dual-source dual-energy CT (DECT) parameters in differentiating between benign and malignant mediastinal masses and predicting patient outcomes. Methods: In this retrospective study, we analysed data from 90 patients (38 females, mean age 51 ± 25 years) with confirmed mediastinal masses who underwent contrast-enhanced DECT. Attenuation, radiomic features and DECT-derived imaging parameters were evaluated by two experienced readers. We performed analysis of variance (ANOVA) and Chi-square statistic tests for data comparison. Receiver operating characteristic curve analysis and Cox regression tests were used to differentiate between mediastinal masses. Results: Of the 90 mediastinal masses, 49 (54%) were benign, including cases of thymic hyperplasia/thymic rebound (n = 10), mediastinitis (n = 16) and thymoma (n = 23). The remaining 41 (46%) lesions were classified as malignant, consisting of lymphoma (n = 28), mediastinal tumour (n = 4) and thymic carcinoma (n = 9). Significant differences were observed between benign and malignant mediastinal masses in all DECT-derived parameters (p ≤.001) and 38 radiomic features (p ≤.044) obtained from contrast-enhanced DECT. The combination of these methods achieved an area under the curve of.98 (95% CI,.893–1.000; p

Cite

CITATION STYLE

APA

Mahmoudi, S., Gruenewald, L. D., Eichler, K., Martin, S. S., Booz, C., Bernatz, S., … Koch, V. (2023). Advanced biomedical imaging for accurate discrimination and prognostication of mediastinal masses. European Journal of Clinical Investigation, 53(12). https://doi.org/10.1111/eci.14075

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free