18F-FDG-PET evaluation of pathological tumour response to neoadjuvant therapy in patients with NSCLC.

Chenpeng Zhang, Jianjun Liu, Jinlu Tong, Xiaoguang Sun, Shaoli Song, Gang Huang

Department of Nuclear Medicine, Shanghai Institute of Gastrointestinal Diseases, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Nuclear medicine communications 2013 Jan

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The ability to identify potential responders to neoadjuvant treatment may improve patient selection or surgery and may help in the development of response criteria suitable for routine monitoring of response. The aim of this study was to evaluate the value of PET in predicting the pathological tumour response of non-small-cell lung cancer (NSCLC) to neoadjuvant therapy using a meta-analysis. All available published studies investigating the value of PET in predicting the pathological response of NSCLC to neoadjuvant therapy were collected. Pooled sensitivity and specificity data were obtained using statistical software. Subgroup analysis was performed to explore the sources of heterogeneity. A total of 13 studies comprising 414 patients with NSCLC were included in the meta-analysis. Pooled sensitivity, specificity, positive predictive value and negative predictive value for PET-predicted response was 83% [95% confidence interval (CI); 76-89%], 84% (95% CI; 79-88%), 74% (95% CI; 67-81%) and 91% (95% CI; 87-94%), respectively. Significant heterogeneity (P<0.05) was observed. On the basis of our subgroup analyses, methodological quality could be responsible for this heterogeneity in our metaregression. The predictive value of PET in NSCLC patients with pathological response (considered the gold standard) was significantly higher than that of computed tomography (P<0.05). PET scanning has an important role in predicting nonresponders to neoadjuvant therapy in cases of NSCLC, and the predictive value of PET for evaluating pathologically documented responses is superior to that of computed tomography. However, additional evaluations using prospective clinical trials will be required to assess the clinical benefit of this strategy.

Citation

Chenpeng Zhang, Jianjun Liu, Jinlu Tong, Xiaoguang Sun, Shaoli Song, Gang Huang. 18F-FDG-PET evaluation of pathological tumour response to neoadjuvant therapy in patients with NSCLC. Nuclear medicine communications. 2013 Jan;34(1):71-7