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Quantitative Imaging Enters the Clinical Arena: A Personal Viewpoint
1Cancer Imaging Program, National Cancer Institute, Bethesda, MD.
Tomography (Ann Arbor, Mich.)
|June 18, 2020
Summary
The National Cancer Institute's Quantitative Imaging Network developed advanced imaging software tools over 12 years. These tools improve cancer treatment response prediction in clinical trials.
Area of Science:
- Quantitative imaging
- Medical informatics
- Cancer research
Background:
- The National Cancer Institute's Quantitative Imaging Network (QIN) has focused on developing image-based decision support software.
- A key objective has been to create advanced tools for improved prediction of therapeutic response.
Purpose of the Study:
- To provide an overview of the successes in developing and translating new algorithms.
- To highlight the integration of these tools into clinical workflows.
Main Methods:
- Development of image-based decision support software tools.
- Focus on improving measurements of imaging metrics.
- Translation of algorithms into clinical trials and workflows.
Main Results:
- Successful development of advanced imaging software tools.
- Improved prediction of response to therapeutic interventions.
- Integration of new algorithms into clinical workflows.
Conclusions:
- The Quantitative Imaging Network has achieved significant success over 12 years.
- Advanced imaging tools have been developed and translated for clinical use.
- These advancements aid in predicting treatment response and improving patient care.
Keywords:
Quantitative imagingdecision support software toolsmagnetic resonance imagingpositron emission tomographyMore Related Videos
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