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

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dc.contributor.author김영진-
dc.contributor.author김진영-
dc.contributor.author서영주-
dc.contributor.author이혜정-
dc.contributor.author임동진-
dc.contributor.author장수연-
dc.contributor.author최병욱-
dc.contributor.author허진-
dc.contributor.author홍유진-
dc.date.accessioned2018-08-28T17:11:26Z-
dc.date.available2018-08-28T17:11:26Z-
dc.date.issued2018-
dc.identifier.issn0720-048X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/162355-
dc.description.abstractPURPOSE: 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.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier Science Ireland Ltd-
dc.relation.isPartOfEUROPEAN JOURNAL OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titlePredictive factors for treatment response using dual-energy computed tomography in patients with advanced lung adenocarcinoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorSae Rom Hong-
dc.contributor.googleauthorJin Hur-
dc.contributor.googleauthorYong Wha Moon-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorSuyon Chang-
dc.contributor.googleauthorJin Young Kim-
dc.contributor.googleauthorDong Jin Im-
dc.contributor.googleauthorYoung Joo Suh-
dc.contributor.googleauthorYoo Jin Hong-
dc.contributor.googleauthorHye-Jeong Lee-
dc.contributor.googleauthorYoung Jin Kim-
dc.contributor.googleauthorByoung Wook Choi-
dc.identifier.doi10.1016/j.ejrad.2018.02.019-
dc.contributor.localIdA00727-
dc.contributor.localIdA05113-
dc.contributor.localIdA01892-
dc.contributor.localIdA03320-
dc.contributor.localIdA03361-
dc.contributor.localIdA03444-
dc.contributor.localIdA04059-
dc.contributor.localIdA04370-
dc.contributor.localIdA04422-
dc.relation.journalcodeJ00845-
dc.identifier.eissn1872-7727-
dc.identifier.pmid29571784-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0720048X18300573-
dc.subject.keywordAdenocarcinoma-
dc.subject.keywordChemotherapy-
dc.subject.keywordDual-energy computed tomography (DECT)-
dc.subject.keywordNon-small cell lung cancer (NSCLC)-
dc.subject.keywordTherapeutic response-
dc.contributor.alternativeNameKim, Young Jin-
dc.contributor.alternativeNameKim, Jin Young-
dc.contributor.alternativeNameSuh, Young Joo-
dc.contributor.alternativeNameLee, Hye Jeong-
dc.contributor.alternativeNameIm, Dong Jin-
dc.contributor.alternativeNameChang, Su Yon-
dc.contributor.alternativeNameChoi, Byoung Wook-
dc.contributor.alternativeNameHur, Jin-
dc.contributor.alternativeNameHong, Yoo Jin-
dc.contributor.affiliatedAuthorKim, Young Jin-
dc.contributor.affiliatedAuthorKim, Jin Young-
dc.contributor.affiliatedAuthorSuh, Young Joo-
dc.contributor.affiliatedAuthorLee, Hye Jeong-
dc.contributor.affiliatedAuthorIm, Dong Jin-
dc.contributor.affiliatedAuthorChang, Su Yon-
dc.contributor.affiliatedAuthorChoi, Byoung Wook-
dc.contributor.affiliatedAuthorHur, Jin-
dc.contributor.affiliatedAuthorHong, Yoo Jin-
dc.citation.volume101-
dc.citation.startPage118-
dc.citation.endPage123-
dc.identifier.bibliographicCitationEUROPEAN JOURNAL OF RADIOLOGY, Vol.101 : 118-123, 2018-
dc.identifier.rimsid59939-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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