ReviewEuropean radiology2022
The application of radiomics in predicting gene mutations in cancer.
Review in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- A Bayesian meta-analysis on MRI-based radiomics for predicting EGFR mutation in brain metastasis of lung cancer.BMC medical imaging · 2025Pooled it
- The potential of MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations: a systematic review and meta-analysis.Biomedical engineering online · 2025Pooled it
- Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative.European radiology · 2023Pooled it
- 3D radiomics profiling of thyroid tumors using micro-CT.Scientific reports · 2026Article
- The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- The impact of AI on modern oncology from early detection to personalized cancer treatment.NPJ precision oncology · 2026Review
- Predicting PIK3CA mutation in breast cancer with machine learning based multimodal image radiomics.European journal of medical research · 2025Article
- Reproducibility and interpretability in radiomics: a critical assessmentDiagnostic and interventional radiology (Ankara, Turkey) · 2025Review
- The value of MRI-based radiomics and clinicoradiological data for the detection of forkhead box protein A1 gene mutated prostate cancer.Scientific reports · 2025Article
- Utilizing intratumoral and peritumoral ultrasound radiomics for predicting KRAS gene mutation status in rectal cancer patients.Journal of applied clinical medical physics · 2025Article
- Predicting pathogenic DNA damage repair gene mutations in prostate cancer patients: a multi-center magnetic resonance imaging radiomics study.Quantitative imaging in medicine and surgery · 2025Article
- Radiomic Analysis and Liquid Biopsy in Preoperative CT of NSCLC: An Explorative Experience.Thoracic cancer · 2025Article
- Comparison of Intratumoral and Peritumoral Deep Learning, Radiomics, and Fusion Models for Predicting KRAS Gene Mutations in Rectal Cancer Based on Endorectal Ultrasound Imaging.Annals of surgical oncology · 2025Article
- CT-based radiomics predicts CD38 expression and indirectly reflects clinical prognosis in epithelial ovarian cancer.Heliyon · 2024Article
- Observational
- Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features.Scientific reports · 2024Article
- Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes.Biomarker research · 2024Article
- CT-based radiomics nomogram for prediction of survival after transarterial chemoembolization with drug-eluting beads in patients with hepatocellular carcinoma and portal vein tumor thrombus.European radiology · 2023Article
- Revolutionizing Medical Microbiology: How Molecular and Genomic Approaches Are Changing Diagnostic Techniques.Cureus · 2023Review
- A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the development of genome sequencing, the role of molecular targeted therapy in cancer is becoming increasingly important. However, genetic testing remains expensive, invasive, and time-consuming, and thus unavailable for all patients. Radiogenomics aims to correlate imaging characteristics with gene expression patterns, gene mutations, and other genome-related characteristics. Due to the noninvasive nature of medical imaging, the field of radiogenomics is rapidly developing and may serve as a substitute tool for genetic testing. In this article, we briefly summarise the current role of radiogenomics in predicting gene mutations in brain, lung, colorectal, breast, and kidney tumours. KEY POINTS: • The role of molecular targeted therapy in individual cancer-precision therapy is becoming increasingly important with the development of genetic testing. • Radiogenomics may provide accurate imaging biomarkers as a substitute for genetic testing. • While the field of radiogenomics holds great promise, there are still a number of limitations that need to be overcome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.