Predictive value of dual-source CT perfusion imaging parameters for chemotherapy effects in patients with non-small cell lung cancer
Objective:To investigate predictive value of dual-source CT perfusion imaging parameters for chemotherapy effects in patients with non-small cell lung cancer.Methods:The clinical data of 124 patients with non-small cell lung cancer admitted to this hospital from June 2020 to June 2022 were retrospectively analyzed.All patients were given chemotherapy after admission.Dual-source CT perfusion imaging was performed before and after the treatment.According to the chemotherapy effects,they were divided into sensitive group(n = 81)and insensitive group(n = 43).The dual-source CT perfusion imaging parameters[blood flow(BF),blood volume(BV),permeability surface(PS)]were compared between the two groups before and after the treatment.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of dual-source CT perfusion imaging parameters for chemotherapy effects in the patients with non-small cell lung cancer.Results:Before the treatment,the BF,PS and BV of the sensitive group were higher than those of the insensitive group,and the differences were statistically significant(P<0.05).After the treatment,the BF,PS and BV of the two groups were lower than those before the treatment,those in the sensitive group were lower than those in the insensitive group,and the differences were statistically significant(P<0.05).The ROC curve showed that the areas under the curve of single detection of BF,PS,BV and combined detection in the prediction of the chemotherapy effects of the non-small cell lung cancer patients was 0.767,0.824,0.803 and 0.932,separately,and the combined detection had the highest predictive value.Conclusions:The value of combined detection of dual-source CT perfusion imaging parameters in the prediction of the chemotherapy effects in the patients with non-small cell lung cancer is higher than that of single detection of the three.
Dual-source CT perfusion imagingNon-small cell lung cancerChemotherapy effectPrediction value
万方数据
维普
