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The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer.
Hu, Yao; Sun, Jin; Li, Danming; Li, Yangyang; Li, Tiannv; Hu, Yuxiao.
Afiliação
  • Hu Y; Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
  • Sun J; Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Li D; Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Li Y; Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Li T; Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Hu Y; Department of PET/CT Center, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Front Oncol ; 12: 960536, 2022.
Article em En | MEDLINE | ID: mdl-36185188
ABSTRACT
The combined role of inflammatory markers [including neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), and systemic immune-inflammation index (SII)] and PET/CT metabolic parameters [including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and TLG (total lesion glycolysis)] at baseline in evaluating the binary stage [extensive-stage disease (ED) and limited-stage disease (LD)] of small cell lung cancer (SCLC) is unclear. In this study, we verified that high metabolic parameters and inflammatory markers were related to the binary stage of SCLC patients, respectively (p < 0.05). High inflammatory markers were also associated with high MTV and TLG in patients with SCLC (p < 0.005). Moreover, the incidences of co-high metabolic parameters and inflammatory markers were higher in ED-SCLC (p < 0.05) than those in LD-SCLC. Univariate logistic regression analysis demonstrated that Co-high MTV/NLR, Co-high MTV/MLR, Co-high MTV/SII, Co-high TLG/NLR, Co-high TLG/MLR, and Co-high TLG/SII were significantly related to the binary stage of SCLC patients (p = 0.00). However, only Co-high MTV/MLR was identified as an independent predictor for ED-SCLC (odds ratio 8.67, 95% confidence interval CI 3.51-21.42, p = 0.000). Our results suggest that co-high metabolic parameters and inflammatory markers could be of help for predicting ED-SCLC at baseline. Together, these preliminary findings may provide new ideas for more accurate staging of SCLC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: CH / SUIZA / SUÍÇA / SWITZERLAND