Basic & Clinical Medicine ›› 2021, Vol. 41 ›› Issue (5): 661-666.

• Original Articles • Previous Articles     Next Articles

Predictive value of Xiaoyan decoction combined with GC chemotherapy in the treatment of advanced non-small cell lung cancer based on DWI

HAN Yan*, GUAN Bing-qi, ZHOU Gang, MA Fei   

  1. Department of Radiology, Affiliated Hospital of Tianjin Institute of Traditional Chinese Medicine, Tianjin 300020, China
  • Received:2020-06-16 Revised:2020-10-13 Online:2021-05-05 Published:2021-05-06
  • Contact: *wangyi56321you@163.com

Abstract: Objective To explore the predictive value for the efficacy of Xiaoyan decoction combined with gemcitabine/carboplatin (GC) chemotherapy in the treatment of advanced non-small cell lung cancer (NSCLC). Methods The clinical data from 65 patients with advanced NSCLC who were treated with Xiaoyan decoction and GC chemotherapy were analyzed retrospectively. The apparent diffusion coefficient before and after treatment (ADCpre and ADCpost) of magnetic resonance diffusion-weighted imaging (DWI) and ADC change rate (ΔADC) were compared between the effective group and the ineffective group. The correlation of ADCpre and ADCpost and ΔADC with tumor regression rate and their predictive value for curative effect were analyzed. Results The effective rate of Xiaoyan decoction combined with GC chemotherapy was 58.46%. Before treatment, DWI showed a high signal, ADCpre was low, and DWI was mainly equal signal and ADCpost was high after treatment. The tumor regression rate was negatively correlated with ADCpre, and positively correlated with ADCpost and ΔADC(P<0.05). The sensitivity, specificity, accuracy and AUC of ADCpre for efficacy prediction were 71.05%, 81.48%,75.38%, 0.789, respectively, and ADCpost was 89.47%, 66.67%, 80.00%, 0.810, and ΔADC was 81.58%, 85.19%, 83.08%, 0.842. Conclusions ADCpre, ADCpost and ΔADC are closely related to tumor regression rate in advanced NSCLC patients. DWI can predict the clinical efficacy of Xiaoyan decoction combined with GC chemotherapy.

Key words: non-small cell lung cancer, diffusion-weighted imaging(DWI), clinical efficacy, prediction

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