Purpose: An early identification of lung lesions is significant for early treatment and prognosis. This meta-analysis was aimed at accessing the overall diagnostic performance of Computed Tomography Perfusion Imaging(CTP) in discrimination of benign and malignant Solitary Pulmonary Nodules(SPNs). Methods and Materials: A comprehensive literature search was performed in PubMed, EMBASE, CNKI,VIP and Wanfang databases,and relevant articles published between Oct ,2004 and Oct,2014 were collected .Retrieved studies were screened based on preset criteria for inclusion published by the Cochrane Methods Group .Quality appraising and characteristics extraction was strictly conducted .Review Manager 5.3 software was used to compare Blood Volume(BV)and Permeability Surface(PS)value between malignant and benign SPNs. Funnel plot was drawn to access publication bias.Finally,we employed meta-disc 1.4 software to test the heterogeneity for a proper effect model. Indexes including pooled sensitivity , specificity, diagnostic odds ratio(DOR), and positive likely ratios(LR+) and negative likely ratios(LR-) were calculated. Summary Receiver Operating Characteristic (SROC ) curve was applied to obtain the area under the curve(AUC) and Q* value. Results: Altogether 17 studies involving 877 lesions were in accordance with the criteria. Review Manager 5.3 software showed significant difference of BV and PS value between malignant and benign SPNs, and meta-disc 1.4 software indicated that BV combined with PS has a higher value for all the mentioned indexes than each of the two. Conclusion: Both BV and PS value can be used to differentiate SPNs ,and BV combined with PS has the highest diagnostic performance .