Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images.
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ABSTRACT:
SUBMITTER: Bae JM
PROVIDER: S-EPMC5352175 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
Publications
Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images.
Bae Jung Min JM Jeong Ji Yun JY Lee Ho Yun HY Sohn Insuk I Kim Hye Seung HS Son Ji Ye JY Kwon O Jung OJ Choi Joon Young JY Lee Kyung Soo KS Shim Young Mog YM
Oncotarget 20170101 1
<h4>Purpose</h4>To evaluate the usefulness of surrogate biomarkers as predictors of histopathologic tumor grade and aggressiveness using radiomics data from dual-energy computed tomography (DECT), with the ultimate goal of accomplishing stratification of early-stage lung adenocarcinoma for optimal treatment.<h4>Results</h4>Pathologic grade was divided into grades 1, 2, and 3. Multinomial logistic regression analysis revealed i-uniformity and 97.5th percentile CT attenuation value as independent ...[more]
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