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Relationship between Standard Uptake Values of Positron Emission Tomography/Computed Tomography and Salivary Metabolites in Oral Cancer: A Pilot Study

(18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography (PET)/computed tomography (CT) is usually used for staging or evaluation of treatment response rather than for cancer screening. However, (18)F-FDG PET/CT has also been used in Japan for cancer screening in people with no cancer sympt...

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Detalles Bibliográficos
Autores principales: Ishikawa, Shigeo, Hiraka, Toshitada, Kirii, Kazukuni, Sugimoto, Masahiro, Shimamoto, Hiroaki, Sugano, Ayako, Kitabatake, Kenichiro, Toyoguchi, Yuuki, Kanoto, Masafumi, Nemoto, Kenji, Soga, Tomoyoshi, Tomita, Masaru, Iino, Mitsuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7762245/
https://www.ncbi.nlm.nih.gov/pubmed/33297326
http://dx.doi.org/10.3390/jcm9123958
Descripción
Sumario:(18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography (PET)/computed tomography (CT) is usually used for staging or evaluation of treatment response rather than for cancer screening. However, (18)F-FDG PET/CT has also been used in Japan for cancer screening in people with no cancer symptoms, and accumulating evidence supports this application of (18)F-FDG PET/CT. Previously, we have observed a correlation between the saliva and tumor metabolomic profiles in patients with oral cancer. Hence, if salivary metabolites demonstrate a significant correlation with PET parameters such as the maximum standardized uptake value (SUV(max)), they may have the potential to be used as a screening tool before PET/CT to identify patients with high SUV(max). Hence, in this study, we aimed to explore the relationship between salivary metabolites and SUV(max) of (18)F-FDG PET/CT using previously collected data. (18)F-FDG PET/CT was performed for staging 26 patients with oral cancer. The collected data were integrated and analyzed along with quantified salivary hydrophilic metabolites obtained from the same patients with oral cancer and controls (n = 44). In total, 11 metabolites showed significant correlations with SUV(max) in the delayed phases. A multiple logistic regression model of the two metabolites showed the ability to discriminate between patients with oral cancer and controls, with an area under the receiver operating characteristic curve of 0.738 (p = 0.001). This study uniquely confirmed a relationship between salivary metabolites and SUV(max) of PET/CT in patients with oral cancer; salivary metabolites were significantly correlated with SUV(max). These salivary metabolites can be used as a screening tool before PET/CT to identify patients with high SUV(max), i.e., to detect the presence of oral cancer.