Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Analysis of KRAS Mutation Status Prediction Model for Colorectal Cancer Based on Medical Imaging.

Computational and mathematical methods in medicine - 1 Jan 2021

Ren Zhen, Che Jin, Wu Xiao Wei, Xia Jun

Abstract excerpt

This study retrospectively included some patients with colorectal cancer diagnosed by histopathology, to explore the feasibility of CT medical image texture analysis in predicting KRAS gene mutations in patients with colorectal cancer. Before any surgical procedure, all patients received an enhanced CT scan of the abdomen and pelvis, as well as genetic testing. To define patient groups, divide all patients into...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers, Tumor
Share to Colorectal Neoplasms
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Feasibility Studies

Share to Proto-Oncogene Proteins p21(ras)

Share to ROC Curve

Share to Software

Share to Tomography, X-Ray Computed

Source

Open in PubMed Open full text

Identifiers

PMID: 34976107
DOI: 10.1155/2021/3953442
PMCID: PMC8716224

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Analysis of KRAS Mutation Status Prediction Model for Colorectal Cancer Based on Medical Imaging.PMID 34976107Read ↗

CT Texture Analysis: A Potential Biomarker for Evaluating KRAS Mutational Status in Colorectal Cancer.Semantic proximity Read ↗

Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal CancerSemantic proximity Read ↗

Characterizing MRI features of rectal cancers with different KRAS status.Semantic proximity Read ↗

Preoperative prediction of perineural invasion and KRAS mutation in colon cancer using machine learning.Semantic proximity Read ↗

Radiomics Texture Features in Advanced Colorectal Cancer: Correlation with BRAF Mutation and 5-year Overall Survival.Semantic proximity Read ↗

CT-Based Radiomics to Predict the KRAS Mutation in CRC patients. A Retrospective StudySemantic proximity Read ↗

Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.Semantic proximity Read ↗

Prediction of KRAS Mutation in Rectal Cancer Using MRI.Semantic proximity Read ↗

Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic modelSemantic proximity Read ↗

Radiomics-Derived Data by Contrast Enhanced Magnetic Resonance in RAS Mutations Detection in Colorectal Liver MetastasesSemantic proximity Read ↗

Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.Semantic proximity Read ↗

Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.