Prognostic 18F-FDG Radiomic Features in Advanced High-Grade Serous Ovarian Cancer

• Published in: Diagnostics (Basel) Vol. 13; no. 22; p. 3394
• Main Authors: Travaglio Morales, Daniela, Huerga Cabrerizo, Carlos, Losantos García, Itsaso, Coronado Poggio, Mónica, Cordero García, José Manuel, Llobet, Elena López, Monachello Araujo, Domenico, Rizkallal Monzón, Sebastián, Domínguez Gadea, Luis
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 07-11-2023
• Subjects: Biopsy; Cancer therapies; Chemotherapy; Clinical outcomes; Drug dosages; heterogeneity; Medical prognosis; Metastasis; Ovarian cancer; PET; prognosis; Radiomics; Software; texture features; Tomography; Tumors; United States > US
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics13223394

High-grade serous ovarian cancer (HGSOC) is an aggressive disease with different clinical outcomes and poor prognosis. This could be due to tumor heterogeneity. The 18F-FDG PET radiomic parameters permit addressing tumor heterogeneity. Nevertheless, this has been not well studied in ovarian cancer. The aim of our work was to assess the prognostic value of pretreatment 18F-FDG PET radiomic features in patients with HGSOC. A review of 36 patients diagnosed with advanced HGSOC between 2016 and 2020 in our center was performed. Radiomic features were obtained from pretreatment 18F-FDGPET. Disease-free survival (DFS) and overall survival (OS) were calculated. Optimal cutoff values with receiver operating characteristic curve/median values were used. A correlation between radiomic features and DFS/OS was made. The mean DFS was 19.6 months and OS was 37.1 months. Total Lesion Glycolysis (TLG), GLSZM_ Zone Size Non-Uniformity (GLSZM_ZSNU), and GLRLM_Run Length Non-Uniformity (GLRLM_RLNU) were significantly associated with DFS. The survival-curves analysis showed a significant difference of DSF in patients with GLRLM_RLNU > 7388.3 versus patients with lower values (19.7 months vs. 31.7 months, p = 0.035), maintaining signification in the multivariate analysis (p = 0.048). Moreover, Intensity-based Kurtosis was associated with OS (p = 0.027). Pretreatment 18F-FDG PET radiomic features GLRLM_RLNU, GLSZM_ZSNU, and Kurtosis may have prognostic value in patients with advanced HGSOC.