| Autor: |
Piskin, Ferhat Can, Akkus, Gamze, Yucel, Sevinc Puren, Akbas, Bisar, Odabası, Fulya |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Polish Journal of Radiology. 88:41-46 |
| ISSN: |
1899-0967 |
| DOI: |
10.5114/pjr.2023.124435 |
| Popis: |
Purpose: The aim of this study was to develop radiomics signature-based magnetic resonance imaging (MRI) to determine adrenal Cushing’s syndrome (ACS) in adrenal incidentalomas (AI). Material and methods: A total of 50 patients with AI were included in this study. The patients were grouped as nonfunctional adrenal incidentaloma (NFAI) and ACS. The lesions were segmented on unenhanced T1-weighted (T1W) in-phase (IP) and opposed-phase (OP) as well as on T2-weighted (T2-W) 3-Tesla MRIs. The LASSO regression model was used for the selection of potential predictors from 111 texture features for each sequence. The radiomics scores were compared between the groups. Results: The median radiomics score in T1W-Op for the NFAI and ACS were -1.17 and -0.17, respectively (p < 0.001). Patients with ACS had significantly higher radiomics scores than NFAI patients in all phases (p < 0.001 for all). The AUCs for radiomics scores in T1W-Op, T1W-Ip, and T2W were 0.862 (95% CI: 0.742-0.983), 0.892 (95% CI: 0.774-0.999), and 0.994 (95% CI: 0.982-0.999), respectively. Conclusion: The developed MRI-based radiomic scores can yield high AUCs for prediction of ACS. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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