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Prognostic 18F-FDG Radiomic Features in Advanced High-Grade Serous Ovarian Cancer.
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.
Afiliação
  • Travaglio Morales D; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Huerga Cabrerizo C; Nuclear Medicine Department, Halle University Hospital, 06120 Halle, Germany.
  • Losantos García I; Department of Medical Physics and Radiation Protection, La Paz University Hospital, 28046 Madrid, Spain.
  • Coronado Poggio M; Biostatistics Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Cordero García JM; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Llobet EL; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Monachello Araujo D; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Rizkallal Monzón S; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
  • Domínguez Gadea L; Nuclear Medicine Department, La Paz University Hospital, 28046 Madrid, Spain.
Diagnostics (Basel) ; 13(22)2023 Nov 07.
Article em En | MEDLINE | ID: mdl-37998530
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article