State of the Art in Quantitative Imaging in CT, PET and MRI
M McNitt-Gray1*, P Kinahan2*, E Jackson3*, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of Washington, Seattle, WA, (3) UT MD Anderson Cancer Center, HOUSTON, TXMO-A-BRA-1 Monday 8:00:00 AM - 9:55:00 AM Room: Ballroom A
Diagnostic Imaging is evolving from a modality where the emphasis is on the acquisition and interpretation of image data by radiologists to one where imaging devices may be used as measurement devices that are able to produce quantitative results. Some examples of quantitative measured values are already in clinical practice, including coronary artery calcium scores from CT, Standard Uptake Values (SUV) in PET imaging and Diffusion Weighted Imaging (DWI) in MRI. Clinical and clinical research applications of quantitative anatomical and functional imaging biomarkers, including those focused on treatment assessment, have continued to dramatically expand. Studies at single centers have clearly demonstrated the potential of such applications. However, sources of bias and variance of quantitative imaging biomarkers have not previously been adequately investigated, thus limiting the implementation of robust methods to mitigate their effects. Therefore, when it comes to applications of such techniques across vendor platforms, centers, and time, challenges arise due to lack of standards, appropriate phantoms, and protocols.
During the past few years, several quantitative imaging initiatives have been instigated. This symposium presentation will review selected applications of quantitative imaging biomarkers, illustrate some of the current challenges in broadening the use of such biomarkers, and discuss some of the current initiatives of various scientific and federal organizations that are focused on the standardization, qualification, and validation of quantitative imaging biomarkers.
1. Understand selected applications of quantitative imaging biomarkers.
2. Understand the factors that currently limit widespread acceptance and use of such quantitative imaging biomarkers, including sources of bias and variance.
3. Understand some of the current initiatives focused on the standardization, qualification, and validation of selected quantitative imaging biomarkers.