Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer
Cancer Research and Treatment. 2020;52(1):51-59 
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
Frontiers in Oncology. 2020;10:
Texture Analysis Based on Sagittal Fat-Suppression and Transverse T2-Weighted Magnetic Resonance Imaging for Determining Local Invasion of Rectal Cancer
Frontiers in Oncology. 2020;10:
Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer
Journal of Magnetic Resonance Imaging. 2016;45(6):1798-1808
Association between Texture Analysis Parameters and Molecular Biologic KRAS Mutation in Non-Mucinous Rectal Cancer
Journal of the Korean Society of Radiology. 2021;82(2):406
KRAS mutation analysis on cytological specimens of metastatic colo-rectal cancer
Diagnostic Cytopathology. 2010;38(12):869-873
Prevalence of KRAS mutation subtypes and MSI status in pancreatic cancer
Annals of Oncology. 2018;29:viii673
Can Serum be Used for Analyzing the KRAS Mutation Status in Patients with Advanced Colorectal Cancer?
Cancer Research and Treatment. 2015;47(4):796-803
Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings
Journal of Magnetic Resonance Imaging. 2019;50(3):930-939
VIII. MR image texture analysis—An approach to tissue characterization
Magnetic Resonance Imaging. 1993;11(6):873-887