Applications and limitations of radiomics
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Summary
This technical review will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
- Type
- review
- Published
- 2016-06-08
- Cited by
- 1,009
- References
- 132
- Access
- Open access
- OpenAlex
- https://openalex.org/W2409649574
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3725129
Keywords
Radiomics, Computer science, Medical physics, Field (mathematics), Radiogenomics
References
- Quantitative radiomics: impact of stochastic effects on textural feature analysis implies the need for standards
- Somatic mutations associated with MRI-derived volumetric features in glioblastoma
- Heterogeneity and reproducibility of microvessel counts in breast cancer.
- Machine Learning methods for Quantitative Radiomic Biomarkers
- Tumor Texture Analysis in PET: Where Do We Stand?
- The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer
- Analysis of parametric histogram from dynamic contrast‐enhanced MRI: application in evaluating brain tumor response to radiotherapy
- External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma
- Does FDG uptake measure proliferative activity of human cancer cells? In vitro comparison with DNA flow cytometry and tritiated thymidine uptake.
- False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review
- Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage
- Spatial-Temporal FDG-PET Features for Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemoradiotherapy
- Modeling Pathologic Response of Esophageal Cancer to Chemoradiotherapy Using Spatial-Temporal 18F-FDG PET Features, Clinical Parameters, and Demographics
- Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival.
- MR image texture analysis--an approach to tissue characterization.
- Contrast‐enhanced dynamic computed tomography for the evaluation of tumor angiogenesis in patients with lung carcinoma
- QIN. Promise and pitfalls of quantitative imaging in oncology clinical trials
- Fractal Analysis of Contrast-Enhanced CT Images to Predict Survival of Patients with Hepatocellular Carcinoma Treated with Sunitinib
- Genetic clonal diversity predicts progression to esophageal adenocarcinoma
- Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma
Cited by
- Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review
- Radiomics and liquid biopsy in oncology: the holons of systems medicine
- Prognostic Assessment of Gastropancreatic Neuroendocrine Neoplasm: Prospects and Limits of Radiomics
- Differentiation of benign and malignant lung lesions: Dual-Energy Computed Tomography findings.
- Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemo-radiotherapy.
- Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non–Small Cell Lung Cancer
- Texture analysis of medical images for radiotherapy applications.
- Stability of radiomic features in CT perfusion maps
- Subclinical Disease Burden as Assessed by Whole-Body MRI in Subjects With Prediabetes, Subjects With Diabetes, and Normal Control Subjects From the General Population: The KORA-MRI Study
- Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
- Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography.
- Radiomics in Head and Neck Cancer: Extracting Valuable Information from Data beyond Recognition
- On the impact of smoothing and noise on robustness of CT and CBCT radiomics features for patients with head and neck cancers
- Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs
- Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier
- PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology
- Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
- The Rise of Radiomics and Implications for Oncologic Management.
- Can CT and MR Shape and Textural Features Differentiate Benign Versus Malignant Pleural Lesions?
- Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
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