Predictive factors for treatment response using dual-energy computed tomography in patients with advanced lung adenocarcinoma

Sae Rom Hong, Jin Hur, Yong Wha Moon, Kyunghwa Han, Suyon Chang, Jin Young Kim, Dong Jin Im, Young Joo Suh, Yoo Jin Hong, Hye Jeong Lee, Young Jin Kim, Byoung Wook Choi

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Abstract

Purpose: This study aimed to investigate whether the quantitative parameters of dual-energy computed tomography (DECT) can predict the effects of chemotherapy in advanced adenocarcinoma based on the Response Evaluation Criteria in Solid Tumors (RECIST) guidelines. Materials and methods: A total of 90 patients (59 males, 31 females, age 61.4 ± 12.3 (23–85)) with unresectable lung adenocarcinoma (TNM stage IIIB or IV) who underwent DECT before chemotherapy were prospectively included in this study. By comparing baseline studies with the best response achieved during 1 st line chemotherapy, patients were divided into two groups according to RECIST (version 1.1) guidelines as follows; responders (CR or PR) and non-responders (SD or PD). Quantitative measurements were performed on baseline DECT, and a logistic regression model was used to evaluate predictive factors for a response to chemotherapy. Results: Among 90 patients, 38 were categorized as responders, while 52 patients were non-responders. The mean iodine concentration measurements were significantly higher in responders compared with non-responders (1.81 ± 0.51 vs 1.33 ± 0.76 mg/ml, p < 0.001). On multivariate analysis, EGFR mutation (odds ratio (OR): 3.116, 95% confidential interval (CI):1.182-8.213, p =.019) and iodine concentration (OR: 1.112, 95% CI:1.034-1.196, p =.006) were found to be significant for predicting a treatment response. Conclusions: Dual-energy CT using a quantitative analytic method based on iodine concentration measurements can be used to predict the effects of chemotherapy in patients with advanced adenocarcinoma.

Original languageEnglish
Pages (from-to)118-123
Number of pages6
JournalEuropean Journal of Radiology
Volume101
DOIs
Publication statusPublished - 2018 Apr

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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    Hong, S. R., Hur, J., Moon, Y. W., Han, K., Chang, S., Kim, J. Y., Im, D. J., Suh, Y. J., Hong, Y. J., Lee, H. J., Kim, Y. J., & Choi, B. W. (2018). Predictive factors for treatment response using dual-energy computed tomography in patients with advanced lung adenocarcinoma. European Journal of Radiology, 101, 118-123. https://doi.org/10.1016/j.ejrad.2018.02.019