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Quantitative Imaging: CT and MRI

M McNitt-Gray1*, E Jackson2*, (1) David Geffen School of Medicine at UCLA, Los Angeles, CA, (2) University of Wisconsin, Madison, WI


Presentations

(Tuesday, 7/31/2018) 4:30 PM - 6:00 PM

Room: Davidson Ballroom B

There are many examples of MR- and CT-based quantitative imaging applications, including techniques for assessment of lesion size and volume, microvascular perfusion, diffusion, etc. Such measurements should undoubtedly be enablers of the practice of precision medicine and, as such, are of significant interest. However, to achieve the full potential of such measures, the sources of bias and variance must be identified and mitigated to the extent possible. The remaining bias and variance in the measurements define the confidence intervals of those measurements. If these values are known, clinical trial applications can be implemented with appropriate, but minimum, sample sizes, and clinical applications can be implemented with confidence that the measurements will be consistent across time, devices, and sites. This session of the Quantitative Imaging Specialty Track will address the sources and mitigation of CT and MR quantitative imaging measurement errors in two plenary presentations. The plenary presentations will be followed by five proffered presentations addressing MRI and CT quantitative imaging applications.

Learning Objectives:
1. Understand the common sources of bias and variance in CT quantitative imaging applications and the options for mitigating such sources.
2. Understand the common sources of bias and variance in MR quantitative imaging applications and the options for mitigating such sources.
3. Appreciate some of the current applications of CT- and MR-based quantitative imaging biomarkers.

Funding Support, Disclosures, and Conflict of Interest: Michael McNitt-Gray: Grant support from NCI Quantitative Imaging Network (U01-CA181156) and Siemens Healthineers. Edward Jackson: Financial support from RSNA Quantitative Imaging Biomarkers Alliance (QIBA).

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