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Updated: Jan 24, 2026
10:17
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
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Radiomics: Principles and radiotherapy applications
I Gardin1, V Grégoire2, D Gibon3
1Department of Nuclear Medicine, Centre Henri-Becquerel, France; LITIS EA4108, Normandie University, Rouen, France.
Critical Reviews in Oncology/Hematology
|May 17, 2019
Summary
Radiomics, the extraction of quantitative imaging features, shows potential in oncology for disease staging and treatment response prediction. However, challenges remain in standardizing radiomic indexes and selecting features for clinical practice.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Radiomics involves extracting numerous quantitative features from medical images.
- The robustness of radiomic indexes is influenced by various factors.
- Hundreds of features can be extracted per lesion and imaging modality.
Purpose of the Study:
- To review the clinical applications of radiomics in oncology.
- To discuss the challenges in radiomic feature selection and analysis.
Main Methods:
- Literature review of radiomics research in oncology.
- Description of radiomic indexes and factors affecting their robustness.
Main Results:
- Radiomics shows promise in disease staging, tissue discrimination, and predicting survival and treatment response.
- Applications include identifying genetic features, predicting recurrence, and assessing side effects.
Conclusions:
- Despite its potential, identifying specific radiomic features for routine clinical use remains challenging.
- Further research is needed to standardize radiomic analysis and clinical implementation.
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