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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
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Towards precision medicine: from quantitative imaging to radiomics
U Rajendra Acharya1,2,3, Yuki Hagiwara1, Vidya K Sudarshan1
1Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore.
Journal of Zhejiang University. Science. B
|January 9, 2018
Summary
Radiomics extracts quantitative imaging features to characterize tumor phenotypes, aiding precision medicine. This approach addresses big data challenges in radiology, offering predictive insights for clinical decision support.
Area of Science:
- Radiology and Medical Imaging
- Oncology
- Computational Biology
Background:
- Radiology provides crucial morphologic and functional data for precision medicine.
- Characterizing molecular tumor phenotypes requires tissue biopsy and sequencing.
- Radiologists generate vast amounts of imaging data, posing big data challenges.
Purpose of the Study:
- To explore the growing application of radiomics in precision medicine.
- To discuss the radiomics workflow and its potential for quantitative tumor characterization.
- To review radiomics-based studies using CT, MRI, and PET imaging.
Main Methods:
- Quantitative analysis of radiological images (CT, MRI, PET).
- Integration of computer-aided diagnosis, deep learning, and human expertise.
- Extraction of imaging phenotypes for correlation with disease characteristics.
Main Results:
- Radiomics offers significant interpretive and predictive information for clinical decision support.
- Demonstrated potential in quantitative characterization of tumor phenotypes.
- Highlights the role of radiomics in bridging imaging data with molecular information.
Conclusions:
- Radiomics is a valuable tool for precision medicine, enhancing diagnostic and prognostic capabilities.
- Addresses big data challenges in radiology by extracting meaningful insights from imaging.
- Facilitates a deeper understanding of tumor biology through quantitative image analysis.
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