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 Models as Tools for Predicting Genetic Mutations in Colorectal Cancer: A Systematic Review and Meta-Analysis.

Journal of gastrointestinal cancer - 8 Jul 2026

Rahnama Yassin, Shahbazi Amir, Dadashi Anita, Fathabadi Fatemeh, Salahshour Faeze, Delazar Sina, Sedaghat Mojtaba, Keshvari Amir, Kazemeini Alireza, Keramati Mohammad Reza, Fazeli Mohammad Sadegh, Behboudi Behnam, Ahmadi-Tafti Seyed Mohsen

Abstract excerpt

BACKGROUND: The evaluation of genetic mutations is crucial for personalized therapy in colorectal cancer (CRC), but the invasive tissue biopsy is subject to sampling bias and other complications. Radiomics has emerged as a non-invasive tool to predict these mutations from standard medical images. In this systematic review and meta-analysis, we aimed to evaluate the diagnostic accuracy and methodological quality...

Read the complete abstract on PubMed

Topics

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

Share to Colorectal Neoplasms
Share to Magnetic Resonance Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to Radiomics

Share to Sensitivity and Specificity

Source

Identifiers

PMID: 42420571
DOI: 10.1007/s12029-026-01522-x

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 Models as Tools for Predicting Genetic Mutations in Colorectal Cancer: A Systematic Review and Meta-Analysis.PMID 42420571Read ↗

Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta‑analysis.Semantic proximity Read ↗

Comments on "Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta-analysis".Semantic proximity Read ↗

Diagnostic Accuracy of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer: A Systematic Review and Meta-analysisSemantic proximity Read ↗

A multicenter study: predicting KRAS mutation and prognosis in colorectal cancer through a CT-based radiomics nomogram.Semantic proximity Read ↗

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

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

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

Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study.Semantic proximity Read ↗

Machine learning models using 18F-FDG PET/CT radiomics for RAS mutation prediction and prognostic stratification in colorectal cancer.Semantic proximity Read ↗

Development and Validation of Radiomics Signatures to Predict KRAS Mutation Status Based on Triphasic Enhanced Computed Tomography in Patients with Colorectal CancerSemantic proximity Read ↗

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

Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics.Semantic proximity Read ↗

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