Background: Indeterminate adrenal masses (AM) pose a diagnostic challenge, and 2- [18F]FDG PET-CT serves as a problem-solving tool. Aim of this study was to investigate whether CT radiomics features could be used to predict the 2-[18F]FDG SUVmax of AM. Methods: Patients with AM on 2-[18F]FDG PET-CT scan were grouped based on iodine contrast injection as CT contrast- enhanced (CE) or CT unenhanced (NCE). Two-dimensional segmentations of AM were manually obtained by multiple operators on CT images. Image resampling and discretization (bin number = 16) were performed. 919 features were calculated using PyRadiomics. After scaling, unstable, redundant, and low variance features were discarded. Using linear regression and the Uniform Manifold Approximation and Projection technique, a CT radiomics synthetic value (RadSV) was obtained. The correlation between CT RadSV and 2-[18F]FDG SUVmax was assessed with Pearson test. Results: A total of 725 patients underwent PET-CT from April 2020 to April 2021. In 150 (21%) patients, a total of 179 AM (29 bilateral) were detected. Group CE consisted of 84 patients with 108 AM (size = 18.1 ± 4.9 mm) and Group NCE of 66 patients with 71 AM (size = 18.5 ± 3.8 mm). In both groups, 39 features were selected. No statisticallyf significant correlation between CT RadSV and 2-[18F]FDG SUVmax was found (Group CE, r = 0.18 and p = 0.058; Group NCE, r = 0.13 and p = 0.27). Conclusions: It might not be feasible to predict 2-[18F]FDG SUVmax of AM using CT RadSV. Its role as a problem-solving tool for indeterminate AM remains fundamental.

Prediction of 2-[18F]FDG PET-CT SUVmax for Adrenal Mass Characterization: A CT Radiomics Feasibility Study / Stanzione, Arnaldo; Cuocolo, Renato; Bombace, Claudia; Pesce, Ilaria; Mainolfi, Ciro Gabriele; De Giorgi, Marco; Delli Paoli, Gregorio; La Selva, Pasquale; Petrone, Jessica; Camera, Luigi; Klain, Michele; Del Vecchio, Silvana; Cuocolo, Alberto; Maurea, Simone. - In: CANCERS. - ISSN 2072-6694. - 15:13(2023), pp. 3439-3448. [10.3390/cancers15133439]

Prediction of 2-[18F]FDG PET-CT SUVmax for Adrenal Mass Characterization: A CT Radiomics Feasibility Study

Stanzione, Arnaldo;Cuocolo, Renato;Bombace, Claudia;Pesce, Ilaria;Mainolfi, Ciro Gabriele;De Giorgi, Marco;Delli Paoli, Gregorio;La Selva, Pasquale;Petrone, Jessica;Camera, Luigi;Klain, Michele;Del Vecchio, Silvana;Cuocolo, Alberto;Maurea, Simone
2023

Abstract

Background: Indeterminate adrenal masses (AM) pose a diagnostic challenge, and 2- [18F]FDG PET-CT serves as a problem-solving tool. Aim of this study was to investigate whether CT radiomics features could be used to predict the 2-[18F]FDG SUVmax of AM. Methods: Patients with AM on 2-[18F]FDG PET-CT scan were grouped based on iodine contrast injection as CT contrast- enhanced (CE) or CT unenhanced (NCE). Two-dimensional segmentations of AM were manually obtained by multiple operators on CT images. Image resampling and discretization (bin number = 16) were performed. 919 features were calculated using PyRadiomics. After scaling, unstable, redundant, and low variance features were discarded. Using linear regression and the Uniform Manifold Approximation and Projection technique, a CT radiomics synthetic value (RadSV) was obtained. The correlation between CT RadSV and 2-[18F]FDG SUVmax was assessed with Pearson test. Results: A total of 725 patients underwent PET-CT from April 2020 to April 2021. In 150 (21%) patients, a total of 179 AM (29 bilateral) were detected. Group CE consisted of 84 patients with 108 AM (size = 18.1 ± 4.9 mm) and Group NCE of 66 patients with 71 AM (size = 18.5 ± 3.8 mm). In both groups, 39 features were selected. No statisticallyf significant correlation between CT RadSV and 2-[18F]FDG SUVmax was found (Group CE, r = 0.18 and p = 0.058; Group NCE, r = 0.13 and p = 0.27). Conclusions: It might not be feasible to predict 2-[18F]FDG SUVmax of AM using CT RadSV. Its role as a problem-solving tool for indeterminate AM remains fundamental.
2023
Prediction of 2-[18F]FDG PET-CT SUVmax for Adrenal Mass Characterization: A CT Radiomics Feasibility Study / Stanzione, Arnaldo; Cuocolo, Renato; Bombace, Claudia; Pesce, Ilaria; Mainolfi, Ciro Gabriele; De Giorgi, Marco; Delli Paoli, Gregorio; La Selva, Pasquale; Petrone, Jessica; Camera, Luigi; Klain, Michele; Del Vecchio, Silvana; Cuocolo, Alberto; Maurea, Simone. - In: CANCERS. - ISSN 2072-6694. - 15:13(2023), pp. 3439-3448. [10.3390/cancers15133439]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/929685
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