Predictive value of PET feature change in radiotherapy for non-small cell lung cancer(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2019年第6期
- Page:
- 677-681
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Predictive value of PET feature change in radiotherapy for non-small cell lung cancer
- Author(s):
- LUO Judong1; MA Changsheng2; ZHAO Rui3; MA Changdong4
- 1. Department of Oncology, the Affiliated Changzhou No.2 People’s Hospital, Nanjing Medical University, Changzhou 213000, China; 2. Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Ji’nan 250117, China; 3. Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, Institute of Biomedical Sciences, School of Physics and Electronics, Shandong Normal University, Ji’nan 250014, China; 4. Department of Radiation Oncology, Qilu Hospital of Shandong University, Ji’nan 250012, China
- Keywords:
- ; Keywords: non-small cell lung cancer; 18F-FDG PET; standard uptake value; texture feature
- PACS:
- R730.55；R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2019.06.011
- Abstract:
- Abstract: Objective To explore the relationship between the metabolic parameters of 18F-FDG PET/CT molecular imaging and the short-term therapeutic efficacy of radiotherapy for non-small cell lung cancer (NSCLC), and to determine the effective indicators for early predicting the short-term efficacy of NSCLC radiotherapy. Methods A total of 21 cases of histologically confirmed NSCLC were retrospectively investigated. All patients received both pre-treatment and post-treatment 18F-FDG PET/CT scans. Matlab program was used to reconstruct and segment tumor target areas. Meanwhile, 4 traditional features, including maximum standard uptake value (SUV), minimum SUV, mean SUV and SUV kurtosis, and 5 texture features, including the second angular moment, contrast, inverse different moment, entropy and autocorrelation, were extracted from pre-treatment and post-treatment PET images. Spearman coefficient correlation analysis was used to analyze the correlation between the change rate of image features and the change rate of tumor volume after treatment. Based on whether the tumor volume reduction at 1 month after treatment ≥50% or not, the patients were divided into ineffective group (Group1<50%) and effective group (Group2≥50%). Finally, Mann-Whitney U test was used to determine whether the change rate of PET/CT imaging features can be used for differentiating the response of tumor to therapy. Results The results of Spearman correlation analysis showed that inverse different moment (RS 0.557, P=0.009) and maximum SUV (RS 0.468, P=0.033) were correlated with the change rate of tumor volume, but had no correlation with the other parameters. The results of Mann Whitney U test revealed that both inverse different moment and maximum SUV were statistically significant. Conclusion Among the 9 selected indicators, only inverse different moment and maximum SUV have good predictive value. However, the retrospective study lack of prospectiveness because only a small number of cases and few features were investigated. Therefore, it’s only a preliminary study, and further research is still ongoing.
Last Update: 2019-06-25