ISMRM23 - Metabolic Profiling of Cancer

ISMRM & ISMRT Annual Meeting & Exhibition • 03-08 June 2023 • Toronto, ON, Canada

Metabolic Profiling of Cancer

Weekday Course

ORGANIZERS: Emmanuel Barbier, Christian Federau, Daniel Moses

Tuesday, 06 June 2023

718A

15:45 - 17:45

Moderators: Jose Enriquez & Joseph Stember

Session Number: Tu-07

CME Credit

Session Number: Tu-07

Overview
This course will address multimodality imaging of cancer, notably MRI combined with positron emission tomography to fuse multifunctional imaging information with morphology. This will enable an understanding of tumor behavior at multiple levels. The course is designed as an integrated clinical and scientific session. A combination of invited lectures from experts and proffered scientific abstracts will be used to stimulate discussion and learning on this topic to fuel further multimodality research.

Target Audience
Intermediate to advanced participants with either a MR physics, radiology or computational background who are interested in multimodality approaches for cancer imaging or who wish to understand the pathophysiology behind measured imaging biomarkers.

Educational Objectives
As a result of attending this course, participants should be able to:
- Identify the imaging tools available to us through other functional imaging modalities
- Explain the need for and relationship between biomarkers extracted from different imaging techniques
- Recognize the decision-making requirements that necessitate multifunctional multimodality information

15:45		Metabolic Reprogramming and Cancer Progression View Presentation Video Brandon Faubert Keywords: Cross-organ: Cancer Metabolic reprogramming is a hallmark of cancer that supports malignant growth and transformation. Tumor metabolism is influenced by both cancer cell intrinsic and extrinsic factors, necessitating the need to assess cancer cell metabolism in disease-relevant environments. Here, we discuss the use of stable isotope tracing to investigate tumor metabolism in both patients and preclinical models.
16:15		Measuring the Metabolomic Signature of Cancer View Presentation Video Marie-France Penet Keywords: Cross-organ: Cancer, Contrast mechanisms: Spectroscopy Ex vivo MRS of cancer cells, xenografts, human cancer tissue, and biofluids is a rapidly expanding field that is providing unique insights into cancer metabolism. The field has been evolving as a stand-alone technology, as well as a complement to in vivo MRS to characterize not only the metabolome of cancer cells, but also of cancer-associated stromal cells, immune cells, tumors, and biofluids. The presentation will provide an overview of the insights into cancer obtained with ex vivo MRS and of future directions. High resolution MRS studies of cells, tumors and biofluids will be discussed, in preclinical and clinical settings.
16:45		In-Vivo Spectroscopy View Presentation Video Risto Kauppinen Keywords: Cross-organ: Cancer High field 3T MRI systems are now clinical routine in cancer management offering SNR and spectral resolution for in vivo 1H MRS. To obtain high-quality metabolite profiles from tumours in situ and to widen the profiles for cancer genetic markers, spectral localisation, acquisition, processing and peak assignments must be optimised and harmonised for 3T MRS. Metabolite profiles obtained by state-of-the art 1H MRS have proven to aid in pre-surgical grading of adult and paediatric brain, prostate and breast tumours. The lecture will focus on technical aspects of 1H MRS for clinical tumour evaluations.
17:15		Multinuclear Metabolic MR Imaging View Presentation Video Tanja Platt Keywords: Contrast mechanisms: Non-proton, Contrast mechanisms: Molecular imaging, Cross-organ: Cancer Physiologically relevant nuclei that enable MR applications ('X-nuclei') in tumor imaging in addition to hydrogen (¹H) will be presented and the special MR characteristics of these nuclei will be explained. Multinuclear MRI applications offer a wide variety of applications in science and translational research. Here, an overview of clinical research applications in tumor imaging will be given.