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The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer

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 standard...

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Autores principales: Hu, Yao, Sun, Jin, Li, Danming, Li, Yangyang, Li, Tiannv, Hu, Yuxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515531/
https://www.ncbi.nlm.nih.gov/pubmed/36185188
http://dx.doi.org/10.3389/fonc.2022.960536
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author Hu, Yao
Sun, Jin
Li, Danming
Li, Yangyang
Li, Tiannv
Hu, Yuxiao
author_facet Hu, Yao
Sun, Jin
Li, Danming
Li, Yangyang
Li, Tiannv
Hu, Yuxiao
author_sort Hu, Yao
collection PubMed
description 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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spelling pubmed-95155312022-09-29 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 Front Oncol Oncology 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. Frontiers Media S.A. 2022-09-14 /pmc/articles/PMC9515531/ /pubmed/36185188 http://dx.doi.org/10.3389/fonc.2022.960536 Text en Copyright © 2022 Hu, Sun, Li, Li, Li and Hu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Hu, Yao
Sun, Jin
Li, Danming
Li, Yangyang
Li, Tiannv
Hu, Yuxiao
The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title_full The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title_fullStr The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title_full_unstemmed The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title_short The combined role of PET/CT metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
title_sort combined role of pet/ct metabolic parameters and inflammatory markers in detecting extensive disease in small cell lung cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515531/
https://www.ncbi.nlm.nih.gov/pubmed/36185188
http://dx.doi.org/10.3389/fonc.2022.960536
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