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Exploratory analysis of radiomic as prognostic biomarkers in 18F-FDG PET/CT scan in uterine cervical cancer.
de Alencar, Nadja Rolim Gonçalves; Machado, Marcos Antônio Dórea; Mourato, Felipe Alves; de Oliveira, Mércia Liane; Moraes, Thauan Fernandes; Mattos Junior, Luiz Alberto Reis; Chang, Tien-Man Cabral; de Azevedo, Carla Rameri Alexandre Silva; Brandão, Simone Cristina Soares.
Afiliación
  • de Alencar NRG; Master of Science Surgery Post-Graduation Program, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
  • Machado MAD; Department of Radiology and Nuclear Medicine, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
  • Mourato FA; Department of Radiology, Complexo Hospitalar Universitário Professor Edgard Santos/Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil.
  • de Oliveira ML; Master of Science Surgery Post-Graduation Program, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
  • Moraes TF; Department of Radiology and Nuclear Medicine, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
  • Mattos Junior LAR; Northeast Center for Strategic Technologies, Recife, Pernambuco, Brazil.
  • Chang TC; Northeast Center for Strategic Technologies, Recife, Pernambuco, Brazil.
  • de Azevedo CRAS; Clinical Medicine, Center for Medical Sciences, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
  • Brandão SCS; Nuclear Medicine Service, Instituto de Medicina Integrada Fernandes Figueira, Recife, Pernambuco, Brazil.
Front Med (Lausanne) ; 9: 1046551, 2022.
Article en En | MEDLINE | ID: mdl-36569127
Objective: To evaluate the performance of 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET/CT) radiomic features to predict overall survival (OS) in patients with locally advanced uterine cervical carcinoma. Methods: Longitudinal and retrospective study that evaluated 50 patients with cervical epidermoid carcinoma (clinical stage IB2 to IVA according to FIGO). Segmentation of the 18F-FDG PET/CT tumors was performed using the LIFEx software, generating the radiomic features. We used the Mann-Whitney test to select radiomic features associated with the clinical outcome (death), excluding the features highly correlated with each other with Spearman correlation. Subsequently, ROC curves and a Kaplan-Meier analysis were performed. A p-value < 0.05 were considered significant. Results: The median follow-up was 23.5 months and longer than 24 months in all surviving patients. Independent predictors for OS were found-SUVpeak with an AUC of 0.74, sensitivity of 77.8%, and specificity of 72.7% (p = 0.006); and the textural feature gray-level run-length matrix GLRLM_LRLGE, with AUC of 0.74, sensitivity of 72.2%, and specificity of 81.8% (p = 0.005). When we used the derived cut-off points from these ROC curves (12.76 for SUVpeak and 0.001 for GLRLM_LRLGE) in a Kaplan-Meier analysis, we can see two different groups (one with an overall survival probability of approximately 90% and the other with 30%). These biomarkers are independent of FIGO staging. Conclusion: By radiomic 18F-FDG PET/CT data analysis, SUVpeak and GLRLM_LRLGE textural feature presented the best performance to predict OS in patients with cervical cancer undergoing chemo-radiotherapy and brachytherapy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza