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

Radiomics-Derived Data by Contrast Enhanced Magnetic Resonance in RAS Mutations Detection in Colorectal Liver Metastases

25 Jan 2021

Abstract excerpt

Purpose: To assess the association of RAS mutation status and radiomics-derived data by Contrast Enhanced-Magnetic Resonance Imaging (CE-MRI) in liver metastases. Materials and Methods: 76 patients (36 women and 40 men; 59 years of mean age and 36–80 years as range) were included in this retrospective study. Texture metrics and parameters based on lesion morphology were calculated. Per-patient univariate and...

Read the complete abstract on PubMed

Topics

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

Share to Hepatocellular Carcinoma Treatment and Prognosis
Share to MRI in cancer diagnosis
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33504085
DOI: 10.3390/cancers13030453

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Radiomics-Derived Data by Contrast Enhanced Magnetic Resonance in RAS Mutations Detection in Colorectal Liver MetastasesPMID 33504085Read ↗

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

Integrated radiomics and machine learning approach for ras mutation status prediction in colorectal liver metastases.Semantic proximity Read ↗

MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancer.Semantic proximity Read ↗

Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction.Semantic proximity Read ↗

Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer.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 ↗

Magnetic resonance imaging based radiomics for predicting pathogenetic features and survival in rectal cancer.Semantic proximity Read ↗

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

Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?Semantic proximity Read ↗

Preoperative Prediction of BRAF Mutation Status in Colorectal Cancer Using a Clinical-radiomics Model.Semantic proximity Read ↗

Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.Semantic proximity Read ↗

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