Radiomics improves the utility of ADC for differentiation between renal oncocytoma and chromophobe renal cell carcinoma: Preliminary findings.

Autor: Gündüz N; Istanbul Medeniyet University, Faculty of Medicine, Department of Radiology, Istanbul, Turkey. Electronic address: gunduz.nesrin@gmail.com., Eser MB; Istanbul Medeniyet University, Prof. Dr. Süleyman Yalçın City Hospital, Department of Radiology, Istanbul, Turkey., Yıldırım A; Istanbul Medeniyet University, Faculty of Medicine, Department of Urology, Istanbul, Turkey., Kabaalioğlu A; Istanbul Medeniyet University, Faculty of Medicine, Department of Radiology, Istanbul, Turkey.
Jazyk: English; Spanish; Castilian
Zdroj: Actas urologicas espanolas [Actas Urol Esp (Engl Ed)] 2022 Apr; Vol. 46 (3), pp. 167-177. Date of Electronic Publication: 2022 Feb 22.
DOI: 10.1016/j.acuroe.2022.02.001
Abstrakt: Objective: Differentiation between renal oncocytoma (RON) and chromophobe renal cell carcinoma (chRCC) remains challenging. We aimed to assess the accurate apparent diffusion coefficient (ADC) radiomics features in differentiating these tumors.
Materials and Methods: This single-center retrospective study included 14 patients with histopathologically proven RON (n = 6) and chRCC (n = 8) who underwent magnetic resonance imaging. Features were extracted from ADC maps. Features with an intraclass correlation coefficient >0.90, an intergroup p < 0.01 and interrater differences with normal distribution underwent agreement and receiver operating characteristic curve analyses.
Results: Overall, 6 features qualified for further analysis and Bland-Altman plots revealed acceptable agreement for all. Only 1 first order feature and 5 high order texture features successfully predicted RON with more than 90% sensitivities and specificities more than 80%.
Conclusion: Squared mean ADC and certain gray level run length matrix features extracted by radiomics of ADC mapping provide quite high diagnostic precision in terms of distinguishing between RON and chRCC.
(Copyright © 2021 AEU. Published by Elsevier España, S.L.U. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: