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Radiomics: a quantitative imaging biomarker in precision oncology
Ashish Kumar Jha1,2,3, Sneha Mithun1,2,3, Nilendu C Purandare2,3
1Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, The Netherlands.
Nuclear Medicine Communications
|February 8, 2022
Summary
Radiomics, extracting quantitative features from medical images, is revolutionizing precision oncology. This advanced imaging biomarker approach aids in personalized cancer treatment decisions and outcome prediction.
Area of Science:
- Oncology
- Medical Imaging
- Biostatistics
Background:
- Precision medicine in cancer treatment relies on genetic and biochemical markers.
- Noninvasive imaging biomarkers, such as radiomics, are emerging for personalized oncology.
- Radiomics extracts high-throughput data from medical images using advanced algorithms.
Purpose of the Study:
- To investigate the role of radiomics in advancing precision oncology.
- To highlight radiomics' potential in developing digital tumor phenotypes.
- To summarize the application of radiomics in cancer diagnosis and treatment outcome prediction.
Main Methods:
- Radiomics involves image acquisition, segmentation, preprocessing, feature extraction, and analysis.
- Thousands of advanced features are calculated to explore tumor heterogeneity, irregularity, and size.
- Development of prediction models using radiomic features for various cancer types.
Main Results:
- Radiomics research has rapidly grown, demonstrating significant potential in oncology.
- Radiomics-based digital phenotypes show promise in cancer diagnosis and treatment outcome prediction.
- Prediction models have been developed for overall survival, progression-free survival, and recurrence.
Conclusions:
- Radiomics is a key imaging biomarker for precision oncology.
- The technique aids in personalized cancer treatment strategies.
- Radiomics is expected to play a crucial role in the future of precision oncology.
