Purpose The purpose of this study was to evaluate the methodological quality of radiomics-
based studies for noninvasive, preoperative prediction of Kirsten rat sarcoma (KRAS) …

Rationale and Objectives We assess the performance of a model combining a deep
convolutional neural network and a hand-crafted radiomics signature for predicting KRAS …

Objective: This study aimed to develop a model to predict KRAS mutations in colorectal
cancer according to radiomic signatures based on CT and clinical risk factors. Methods: This …

Objectives To investigate whether CT-based radiomics signature can predict
KRAS/NRAS/BRAF mutations in colorectal cancer (CRC). Methods This retrospective study …

Colorectal cancer (CRC) is one of the most common types of cancer worldwide. The KRAS
mutation is present in 30–50% of CRC patients. This mutation confers resistance to …

Objective To develop and validate radiomics models based on multiphasic CT in predicting
Kirsten rat sarcoma virus (KRAS) gene mutation status in patients with colorectal cancer …

Objective To develop a T2-weighted (T2W) image-based radiomics signature for the
individual prediction of KRAS mutation status in patients with rectal cancer. Methods Three …

Abstract Background The detection of Kirsten rat sarcoma viral oncogene homolog (KRAS)
gene mutations in colorectal cancer (CRC) is key to the optimal design of individualized …

Objective The purpose of the current study was to investigate the diagnostic performance of
F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography …

Aim: The purpose of the study was to investigate imaging predictors of Kirsten-ras (KRAS)
mutations using magnetic resonance imaging (MRI) in patients with rectal cancer. Patients …