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

Overview of attention for article published in European Journal of Radiology, February 2018
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Title
Predictive factors for treatment response using dual-energy computed tomography in patients with advanced lung adenocarcinoma
Published in
European Journal of Radiology, February 2018
DOI 10.1016/j.ejrad.2018.02.019
Pubmed ID
Authors

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

Abstract

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. 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. 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. 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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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Doctoral Student 4 12%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 5 15%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 19 56%
Arts and Humanities 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Physics and Astronomy 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 6%
Unknown 9 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from European Journal of Radiology
#1,995
of 3,036 outputs
Outputs of similar age
#268,519
of 344,026 outputs
Outputs of similar age from European Journal of Radiology
#28
of 73 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,036 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 344,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.