ORGANIZERS: Gregory J. Metzger, Ph.D. & Natalie J. Serkova, Ph.D.
Sunday, 23 April 2017
||08:15 - 12:05
||Gregory Metzger, Natalie Serkova
Skill Level: Basic to Intermediate
Slack Channel: #e_cancer_mol_mrs
Session Number: WE20
Quantitative Multiparametric imaging involves the combination of multiple quantitative MRI metrics which provide different but yet complimentary information for characterizing tissue and physiologic processes. This session will present basic mpMRI imaging techniques applied in oncology and cancer research, methods to calculate quantitative metrics from the acquired data and describe the physiologic process or tissue properties each metric measures.
M.D. & Ph.D. attendees will learn about acquisition methods and basic quantification techniques used in cancer research for the multiparametric assessment of the body and the physiologic processes they help elucidate.
Upon completion of this course, participants should be able to:
-Identify basic acquisition methods used to characterize tissue properties and physiological processes in tumors;
-Review how to generate quantitative metrics from multiparametric MRI acquisitions and recall basic confounders; and
-Explain multiparametric and multimodality applications in oncology using quantitative imaging analysis and extracted features.
|Quantitative Multiparametric Imaging in Oncology
This course will introduce the different imaging modalities that are used in (clinical) oncology research. This lecture gives a brief overview of these imaging techniques and the quantitative information that can be derived from it. Combining information from different modalities can aid in answering typical questions related to oncology.
At the end of this lecture you will know:
· What different MR modalities are being used in oncology research (and clinic).
· What their quantitative endpoint is.
· What other imaging modalities such as PET and optical imaging have to offer for oncology (research) and what their quantitative endpoint is.
· How information of different modalities can be combined in research and clinical questions.
|What Is the Ground Truth - Calibration & Standards
MR-based quantitative imaging biomarkers (QIBs) can provide anatomic and functional measures critical to the successful delivery of precision medicine by informing treatment selection, providing early non-invasive assessment of treatment response, and providing post-treatment surveillance. There are significant barriers, however, to successful implementation of such measures across imaging systems, centers, and time, including the need for phantoms (physical and digital) and standards. This presentation will provide examples of MR-based QIBs, describe key challenges to their disseminated implementation, and provide examples of approaches that a variety of agencies and organizations are taking to address those challenges.
|Parameters Derived from Diffusion Weighted Imaging - permission withheld
|Dynamic Contrast Enhanced (DCE) Imaging - Heuristic Versus Quantitative
This lecture discusses the heuristic and quantitative methods for DCE-MRI data analysis, the clinical applications of both approaches in cancer imaging, the major factors that cause variabilities in the estimated heuristic metrics and quantitative pharmacokinetic parameters, and the need for standardization of data acquisition and analysis to improve reproducibility and repeatability and for consensus/guideline on whether heuristic or quantitative data analysis is the best-practice approach for a particular cancer imaging problem or topic.
|Break & Meet the Teachers
|Other Methods: DSC, BOLD, ASL, MRS
This course will present a high level overview of the “other” MRI methods (dT1, DSC, BOLD, ASL, MRS) that have been used for the assessment of cancer, with a focus on their utility in brain tumors. The specific emphasis will be on quantification, which is becoming increasingly necessary to detect and track changes over time with the goal of optimal response assessment.
|Feature Extraction & Radiomics
Radiomics is defined as: " “conversion of digital medical images into mineable high-dimensional data… motivated by the concept that biomedical images contain information that reflects underlying pathophysiology and that these relationships can be revealed via quantitative image analyses”. Radiomic features are comprised of imaging biomarkers (IB)Some key questions must be answered at an early stage: “Does the IB fulfill an unmet clinical need?”; “Does data exist to evaluate the IB and if not can it be obtained?”. At an early stage, technical validation including assessment of precision through repeatability and reproducibility must be determined. Furthermore, biologic and clinical validation must also be performed. Cost effectiveness must also be considered. The paradigm and consideraiton in radiomics research wil be reviewed.
|Quantitative Multi-Modal PET/MR Imaging in Oncology
PET and MR are two imaging modalities that complement each other, and by combining the two, both the anatomical depiction of MRI, and the high molecular sensitivity of PET can be exploited. With truly integrated PET/MR systems, PET and MR images can be acquired simultaneously in one imaging session, saving time and securing minimal need for registration between images. Within oncology, PET/MR could be a viable option in cancers where MR is the preferred imaging modality and where PET/CT currently has a limited role in the clinic.