EP379 Prognosis-predicting model based on F-18 PET metabolic parameters in locally advanced cervical cancer patients treated with concurrent chemoradiotherapy: multi-center retrospective study

Author(s):  
C-M Park ◽  
YH Lee ◽  
HJ Lee ◽  
DG Hong ◽  
DH Lee ◽  
...  
2020 ◽  
Vol 9 (2) ◽  
pp. 427
Author(s):  
Won Kee Lee ◽  
Gun Oh Chong ◽  
Shin Young Jeong ◽  
Hyun Jung Lee ◽  
Shin-Hyung Park ◽  
...  

This study aimed to develop a prognosis-predicting model based on [18F]fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and clinicopathologic factors in locally advanced cervical cancer patients treated with concurrent chemoradiotherapy (CCRT). The medical records of 270 locally advanced cervical cancer patients who were treated with CCRT were collected from three institutions and reviewed retrospectively. A nomogram was used for predicting 2-year disease-free survival (DFS) and 5-year overall survival (OS) based on Cox proportional hazards regression. Predictor variables included nodal maximum standardized uptake value (SUVmax), primary tumor SUVmax, age, tumor size, stage, serum squamous cell carcinoma antigen level, and human papillomavirus status. Internal nomogram validation was performed. A nomogram for predicting the 2-year DFS and 5-year OS was constructed using six and seven parameters, respectively. With a focus on 2-year DFS, our model found nodal SUVmax to be the highest weighted negative prognostic factor. With a focus on 5-year OS, young age was the highest weighted negative prognostic factor. The concordance index was 0.75 and 0.78 for the 2-year DFS and 5-year OS, respectively. This nomogram is a predictive tool that can be used to counsel patients for predicting survival outcomes. Moreover, our prognosis-predicting model may make it possible to personalize treatment.


2020 ◽  
Vol 9 (6) ◽  
pp. 1878
Author(s):  
Gun Oh Chong ◽  
Shin Young Jeong ◽  
Yoon Hee Lee ◽  
Shin-Hyung Park ◽  
Hyun Jung Lee ◽  
...  

Objective: We sought to evaluate whether the 18F-fluorodeoxyglucose uptake normalization of the primary tumor to both the liver and blood pool and lymph nodes to both the liver and blood pool can enhance the discrimination for prognosis prediction in patients with cervical cancer. Methods: A total of 156 patients with cervical cancer (International Federation of Gynecology and Obstetrics stages IIB–IV) treated with concurrent chemoradiotherapy (CCRT) were enrolled. The maximum standardized uptake value (SUVmax) of tumor (tSUVmax) and the lymph node (nSUVmax) divided by the SUVmean of the liver (tumor-to-liver ratio (TLR) and node-to-liver (NLR)) and blood pool (tumor-to-blood ratio (TBR) and node-to-blood ratio (NBR)) were investigated. Univariate and multivariate analyses of disease-free survival (DFS) and overall survival (OS) were performed using clinical and metabolic parameters. A receiver operating characteristic curve analysis was performed to compare the accuracy of the metabolic parameters. Results: The multivariate analysis revealed that NLR (hazard ratio ((HR): 3.54; 95% confidence interval (CI): 1.53–8.19; p = 0.0032) and NBR (HR: 3.38; 95% CI: 1.02–11.19; p = 0.0457)) were independent prognostic factors for DFS, while TLR (HR: 4.16; 95% CI: 1.19–14.50; p = 0.0252), TBR (HR: 3.01; 95% CI: 1.04–8.70; p = 0.0415), NLR (HR: 4.84; 95% CI: 1.58–14.81; p = 0.0057), and NBR (HR: 6.87; 95% CI: 1.55–30.54; p = 0.0113) were significant prognostic factors for OS. The normalization of tSUVmax to the liver or blood pool enhanced the discrimination for prediction of recurrence (tSUVmax vs. TLR; p = 0.0056 and tSUVmax vs. TBR; p = 0.0099) and death (tSUVmax vs. TLR; p < 0.0001 and tSUVmax vs. TBR; p = 0.0001). Conclusions: The normalization of tSUVmax was an independent prognostic factor and improved the discrimination for the prediction of tumor recurrence and death in patients with locally advanced cervical cancer treated with CCRT.


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