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Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by
Sebastian Weingärtner1, Kimberly L Desmond2,3, Nancy A Obuchowski4
1Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
This article outlines guidelines for developing and validating quantitative MR (qMR) methods, focusing on bias and precision. It aims to help researchers and clinicians disseminate these techniques for broader clinical use.
Area of Science:
- Medical Imaging
- Biophysics
Background:
- Quantitative MR (qMR) methods are increasingly important for clinical applications.
- Development and validation processes for qMR methods require clear guidelines.
Purpose of the Study:
- To provide an overview of considerations for developing, validating, qualifying, and disseminating qMR methods.
- To offer essential guidelines for trainees, researchers, and clinicians.
- To highlight potential pitfalls in qMR method dissemination.
Main Methods:
- The article frames the qMR development process around technical performance properties: bias and precision.
- Illustrative examples include liver proton-density fat fraction quantification and cardiac T1 quantification.
- Discussion covers iterative development and validation of qMR methods.
Main Results:
- Methods with low bias and high precision can be iteratively developed and validated despite confounding factors.
- Examples demonstrate the expansion of qMR methods from research to clinical settings.
- Key considerations for successful dissemination are discussed.
Conclusions:
- Establishing clear guidelines is crucial for the reliable development and validation of qMR methods.
- Successful dissemination requires careful attention to technical performance and potential challenges.
- This work supports the broader adoption of qMR in research and clinical practice.
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