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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 
 European Journal of Radiology, Vol.101 : 118-123, 2018 
Journal Title
 European Journal of Radiology 
Issue Date
Adenocarcinoma ; Chemotherapy ; Dual-energy computed tomography (DECT) ; Non-small cell lung cancer (NSCLC) ; Therapeutic response
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 1st 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+/-0.76mg/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.
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1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
김영진(Kim, Young Jin) ORCID logo https://orcid.org/0000-0002-6235-6550
김진영(Kim, Jin Young)
서영주(Suh, Young Joo) ORCID logo https://orcid.org/0000-0002-2078-5832
이혜정(Lee, Hye Jeong) ORCID logo https://orcid.org/0000-0003-4349-9174
임동진(Im, Dong Jin) ORCID logo https://orcid.org/0000-0001-8139-5646
장수연(Chang, Su Yon)
최병욱(Choi, Byoung Wook) ORCID logo https://orcid.org/0000-0002-8873-5444
허진(Hur, Jin) ORCID logo https://orcid.org/0000-0002-8651-6571
홍유진(Hong, Yoo Jin) ORCID logo https://orcid.org/0000-0002-7276-0944
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