Objectives: To investigate the value of F-fluorodeoxyglucose (FDG) positron-emission tomography (PET)/computed tomography (CT) combined with the platelet-lymphocyte ratio (PLR) in predicting the prognosis of nasopharyngeal carcinoma (NPC).

Methods: This was a retrospective analysis of the data of 73 patients with NPC who underwent F-FDG PET/CT before treatment from January 2010 to December 2014. The maximum standard uptake value (SUVmax) of NPC and the PLR within 1 week before treatment were both measured. The Mann-Whitney U-test was used to compare the differences between the SUVmax and PLR among the different clinical characteristics of patients with NPC and the 5-year progression-free survival (PFS) rate; according to the receiver operating characteristic (ROC) curve, the best cutoff values of the SUVmax and PLR were obtained and used to group patients. The Kaplan-Meier method and Log-rank test were used to conduct univariate analysis of 5-year PFS in patients with NPC, and Cox regression was used to conduct multivariate analysis; differences in the 5-year PFS of patients with different SUVmax values combined with the PLR were compared.

Results: The SUVmax and PLR of patients with disease progression within 5 years were higher than those of patients without disease progression ( = 0.006 and = 0.026). SUVmax = 9.7 and PLR = 132.98 had the best prognostic diagnostic efficiency for patients. Cox multivariate analysis showed that the SUVmax and PLR are independent factors affecting the prognosis of NPC. The 5-year PFS of patients with SUVmax <9.7 was significantly higher than that of patients with SUVmax ≥9.7 in the high PLR group (PLR ≥132.98) and in the low PLR group (PLR <132.98) (59.3%  29.4%, = 0.033 and 90.9% v 42.9%, = 0.006, respectively). For patients with SUVmax <9.7, the 5-year PFS of the high PLR group was significantly lower than the low PLR group (59.3%  90.9%, ); for patients with SUVmax ≥9.7, there was no significant difference in 5-year PFS between the high PLR group and the low PLR group (29.4%  42.9%, = 0.406).

Conclusions: Both the SUVmax of the primary tumor and the PLR before treatment have an important influence on the prognosis of NPC. Combining the SUVmax and the PLR can more accurately predict the prognosis of patients with NPC.

Advances In Knowledge: In this study, we evaluated the prognostic value of combining pretreatment tumor F-FDG uptake on PET/CT imaging and PLR in NPC patients. We found that both SUVmax and PLR are independent factors for the PFS of NPC patients, and a low SUVmax (SUVmax <9.7) combined with a low PLR (PLR <132.98) revealed significant PFS benefit.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722261PMC
http://dx.doi.org/10.1259/bjr.20210279DOI Listing

Publication Analysis

Top Keywords

suvmax plr
16
patients npc
12
5-year pfs
12
pfs patients
12
patients
9
tomography combined
8
combined platelet-lymphocyte
8
platelet-lymphocyte ratio
8
predicting prognosis
8
prognosis nasopharyngeal
8

Similar Publications

Objective: To determine whether [F]FDG PET/CT and hematological parameters provide supportive data to determine HPV status in HNSCC patients.

Methods: Retrospective analysis of clinical and diagnostic data from 106 patients with HNSCC: 26.4% HPV-positive and 73.

View Article and Find Full Text PDF
Article Synopsis
  • - The study investigated how tumor metabolism (specifically glycolysis) relates to inflammatory and nutritional status in advanced non-small cell lung cancer (NSCLC) patients undergoing PD-1 blockade therapy.
  • - 186 patients' F-FDG PET imaging results were analyzed, showing that certain metabolic indicators (like MTV and TLG) correlated significantly with various inflammatory and nutritional indexes, impacting overall survival (OS).
  • - High metabolic tumor volume (MTV) under conditions of high inflammation (measured by NLR, PLR, and SII) and low nutrition (measured by ALI) was found to be a serious predictor of poorer outcomes after PD-1 treatment, especially in first-line therapy.
View Article and Find Full Text PDF

Objective: To investigate the prognostic value of F-FDG-PET/CT metabolic parameters and blood inflammatory markers for advanced non-small cell lung cancer (NSCLC, stage Ⅳ/ⅢB) treated with first-line chemotherapy combined with immunotherapy and construct a nomogram prediction model for NSCLC.

Methods: We retrospectively analyzed the metabolic parameters (SUVmax, MTV and TLG) and blood markers of inflammation (NLR, DNLR, PLR and SII) in 105 patients with advanced NSCLC receiving chemotherapy combined with baseline F-FDG-PET/CT prior to immunotherapy from March, 2019 to June, 2021. ROC curve was used to calculate the best cut-off points for grouping, and univariate and multivariate COX regression analyses were performed to screen the independent predictors of prognosis for a combined diagnostic analysis.

View Article and Find Full Text PDF

Background: The aim of this study is to evaluate the role of preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography-computed tomography (PET/CT) parameters, including maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), hematologic prognostic indicators in patients with colorectal cancer (CRC) in terms of predicting prognosis.

Methods: One hundred and one patients who had undergone 18F-FDG PET/CT for initial staging were evaluated retrospectively. Patient data including pathologic stage at presentation, histology, tumor location, and overall survival (OS) were analyzed.

View Article and Find Full Text PDF

Background: Factors involved in inflammation and cancer interact in various ways with each other, and biomarkers of systemic inflammation may have a prognostic value in cancer. Glucose transporter 1 (GLUT1) plays a pivotal role in glucose transport and metabolism and it is aberrantly expressed in various cancer types. We evaluated the differential expression of GLUT1, along with 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) in non-small-cell lung cancer (NSCLC), and then analyzed their prognostic significance.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!