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CrossRef Text and Data Mining |
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Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer |
Ji Eun Oh, Min Ju Kim, Joohyung Lee, Bo Yun Hur, Bun Kim, Dae Yong Kim, Ji Yeon Baek, Hee Jin Chang, Sung Chan Park, Jae Hwan Oh, Sun Ah Cho, Dae Kyung Sohn |
Cancer Research and Treatment. 2020;52(1):51-59. Published online 2019 May 7 DOI: https://doi.org/10.4143/crt.2019.050 |
Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings KRAS mutation analysis on cytological specimens of metastatic colo-rectal cancer Radiogenomics in Hepatocellular Carcinoma: Machine Learning Based CT Texture Analysis in Predicting β-Catenin Mutation Status Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer Magnetic Resonance Imaging of the Rectum Magnetic Resonance Imaging of Rectal Cancer Rectal Cancer |
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