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나노입자 연구단
나노입자 연구단
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Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity

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dc.contributor.authorYoung Jin Ryuko
dc.contributor.authorSeung Hong Choiko
dc.contributor.authorSang Joon Parkko
dc.contributor.authorTae Jin Yunko
dc.contributor.authorJi-Hoon Kimko
dc.contributor.authorChul-Ho Sohnko
dc.date.available2015-04-20T05:27:41Z-
dc.date.created2014-11-27ko
dc.date.issued201409ko
dc.identifier.issn1932-6203ko
dc.identifier.urihttp://pr.ibs.re.kr/handle/8788114/902ko
dc.description.abstractBackground and Purpose: To apply a texture analysis of apparent diffusion coefficient (ADC) maps to evaluate glioma heterogeneity, which was correlated with tumor grade. Materials and Methods: Forty patients with glioma (WHO grade II (n = 8), grade III (n = 10) and grade IV (n = 22)) underwent diffusion-weighted imaging (DWI), and the corresponding ADC maps were obtained. Regions of interest containing the lesions were drawn on every section of the ADC map containing the tumor, and volume-based data of the entire tumor were constructed. Texture and first order features including entropy, skewness and kurtosis were derived from the ADC map using in-house software. A histogram analysis of the ADC map was also performed. The texture and histogram parameters were compared between low-grade and high-grade gliomas using an unpaired student’s t-test. Additionally, a one-way analysis of variance analysis with a post-hoc test was performed to compare the parameters of each grade. Results: Entropy was observed to be significantly higher in high-grade gliomas than low-grade tumors (6.86160.539 vs. 6.26160.412, P = 0.006). The fifth percentiles of the ADC cumulative histogram also showed a significant difference between high and low grade gliomas (8366235 vs. 10306185, P=0.037). Only entropy proved to be significantly different between grades III and IV (6.29560.4963 vs. 7.11960.3165, P,0.001). The diagnostic accuracy of ADC entropy was significantly higher than that of the fifth percentile of the ADC histogram (P = 0.0034) in distinguishing high- from low-grade glioma. Conclusion: A texture analysis of the ADC map based on the entire tumor volume can be useful for evaluating glioma grade, which provides tumor heterogeneity.ko
dc.languageENGko
dc.publisherPUBLIC LIBRARY SCIENCEko
dc.titleGlioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneityko
dc.typeARTICLEko
dc.type.rimsAko
dc.identifier.wosid000343671700082ko
dc.identifier.scopusid2-s2.0-84907486211ko
dc.identifier.pid344null
dc.description.wostc55-
dc.date.scptcdate2018-10-01-
dc.identifier.doi10.6084/m9.figshare.1155154ko
dc.identifier.bibliographicCitationPLOS ONE, v.9, no., pp.e108335 -ko
dc.date.tcdate2018-10-01-
dc.description.scptc60-
dc.type.docTypeArticle-
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Center for Nanoparticle Research(나노입자 연구단) > Journal Papers (저널논문)
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