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Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography

Overview of attention for article published in BMC Medical Imaging, August 2016
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Title
Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography
Published in
BMC Medical Imaging, August 2016
DOI 10.1186/s12880-016-0155-7
Pubmed ID
Authors

Inyoung Song, Jeong Geun Yi, Jeong Hee Park, Kyung Soo Lee, Myung Jin Chung

Abstract

To compare the capability of lung nodule detection and characterization between dual-energy radiography with color-representation (DCR) and conventional gray scale chest radiography (GSR). A total of 130 paired chest radiographs (DCR and GSR) obtained from 65 patients (14 with normal scans and 51 with pulmonary nodules) were evaluated. After analysis, 45 non-calcified and 21 calcified nodules were identified. DCR was obtained by adding color space within material-decomposed data (blue for high attenuation and red for low attenuation) and by compounding the manipulated data to one color image. Three radiologists marked suggested nodules on radiographic images and assessed the level of confidence of lesion presence and probability of nodule calcification by using a nine-point rating scale. The jackknife active free-response receiver operating characteristics (JAFROC) analysis was used to evaluate lesion detectability, and multi-reader multi-case receiver operating characteristics (MRMC ROC) analysis was used for the evaluation of the accuracy of nodule calcification prediction. Figures of merit (FOM) from JAFROC was 0.807 for DCR and 0.811 for GSR, respectively; nodule detectability was not significantly different between DCR and GSR (p = 0.93). Areas under curve (AUC) from MRMC ROC were 0.944 for DCR and 0.828 for GSR, respectively; performance of DCR in predicting lung nodule calcification was significantly higher than that of GSR (p = 0.04). DCR showed similar performance in terms of lung nodule detection compared with GSR. However, DCR does provide a significant benefit in predicting the presence of nodule calcification.

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 21%
Student > Ph. D. Student 5 21%
Student > Bachelor 4 17%
Researcher 3 13%
Other 2 8%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 8 33%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 2 8%
Computer Science 2 8%
Social Sciences 2 8%
Other 3 13%
Unknown 5 21%
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 23 August 2016.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#461
of 604 outputs
Outputs of similar age
#306,259
of 347,201 outputs
Outputs of similar age from BMC Medical Imaging
#6
of 6 outputs
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So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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