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To Study the Correlation Between Early Treatment Response of Non-Small Cell Lung Cancer Patients with Radiotherapy and the Quantitative Metabolic Parameters From Pre-Treatment 18F-FDG PET/CT

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C Ma

C Ma1*, H Deng2 , Y Yin3 , (1) Shandong Cancer Hospital and Institute, Jinan, Shandong Province, (2) School of Medicine and Life Sciences, University of Jinan-Shandong Academy , Jinan, Shandong Province, (3) Shandong Cancer Hospital and Institute, Jinan, Shandong Province


SU-I-GPD-J-85 (Sunday, July 30, 2017) 3:00 PM - 6:00 PM Room: Exhibit Hall

Purpose: To investigate the correlation of 18F-FDG PET/CT molecular imaging metabolic parameters before radiotherapy and early treatment response for the patients with non-small cell lung cancer(NSCLC).

Methods: 18F-FDG PET/CT images of 61 patients with NSCLC (31 patients were adenocarcinoma and 30 were Squamous cell carcinoma) were collected from October 2014 to May 2016 in Shandong Cancer Hospital and Institute. GTV was delineated on the PET/CT fusion images with SUV values greater than 2.5. Several tumor metabolic parameters were extracted using MIM6.5 software, including SUV volume histograms, maximum standard uptake value(SUVmax), mean standardized uptake value(SUVmean), metabolic tumor volume (MTV), total lesion glycolysis(TLG) and area under the curve of cumulative SUV volume histogram(AUC-CSH). The correlation between metabolic parameters and early treatment response to radiotherapy was analyzed.

Results: AUC-CSH, SUVmax, SUVmean, MTV, and TLG were all correlated with early treatment response of lung adenocarcinoma. For squamous cell carcinoma, all parameters were associated with the early treatment response except for MTV. With multivariate analysis, SUVmax was defined as the independent prognosis factor of early treatment response for adenocarcinoma (Standardized Coefficients=0.708, p=0.000). AUC-CSH was the independent prognosis factor for squamous cell carcinoma (Standardized Coefficients=-0.733, p=0.000). Receiver-operating characteristic curve(ROC) analysis shown that, the cut-off threshold value of SUVmax for adenocarcinoma was 8.650, with sensitivity 76.5%, specificity 100%, and the cut-off threshold value of AUC-CSH for squamous cell carcinoma was 0.4715, with sensitivity 83.3%, specificity 100%.

Conclusion: The tumor quantitative metabolic parameters were valuable for predicting treatment early treatment response for patients with NSCLC. Different parameters should be applied for different pathological types of NSCLC.

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