Abstract Archives of the RSNA, 2014
MIE111
Multiparametric Imaging in Oncology: Deconstructing Tumor Microenvironment [ MI Scavenger Hunt! ]
Education Exhibits
Presented in 2014
Roberto Garcia Figueiras MD, Presenter: Nothing to Disclose
Anwar Roshanali Padhani MD, Abstract Co-Author: Advisory Board, Acuitas Medical Ltd
Advisory Board, Siemens AG
Speakers Bureau, Siemens AG
Researcher, Siemens AG
Speakers Bureau, Johnson & Johnson
Ambros Johannes Beer MD, Abstract Co-Author: Nothing to Disclose
Sandra Baleato Gonzalez MD, Abstract Co-Author: Nothing to Disclose
Antonio Luna MD, Abstract Co-Author: Nothing to Disclose
Joan C. Vilanova MD, PhD, Abstract Co-Author: Nothing to Disclose
Laura Oleaga, Abstract Co-Author: Nothing to Disclose
Maria Cruz Ageitos Casais MD, Abstract Co-Author: Nothing to Disclose
Anxo Martinez De Alegria MD, Abstract Co-Author: Nothing to Disclose
Cancers are complex, evolving, multiscale systems characterized by profound spatial and temporal heterogeneity in their phenotype. Actually, there is an opportunity to perform multiparametric imaging (MPI) at a variety of organ sites and with many clinical roles.
The aim of this exhibit is:
-To emphasis that functional and molecular imaging (FMI) imaging techniques may yield an added information of biological tumor phenotype and of the effects of therapies.
-To learn about the biological correlates of MPI based on different FMI techniques: dynamic contrast-enhanced ultrasound, perfusion CT, dynamic contrast-enhanced MRI, dynamic susceptibility MRI, diffusion-weighted MRI, MR spectroscopy imaging, BOLD-MRI, PET, or SPECT.
-To evaluate the value of MPI approach in clinical oncology, including tumor diagnosis, prognosis, response to therapy, or relapse and drug development.
1. Why do we need MPI in oncology?
2. Tumor hallmarks in imaging and tumor microenvironment.
3. MPI in oncology: Basic principles.
4. MPI in clinical practice: a) The established roll of MPI imaging in tumors (prostate, breast and brain tumors). b) New approaches to tumoral phenotype based in MPI. c) MPI in tumor evaluation: when discrepancies are biological meaningful. d) MPI for monitoring tumor response evaluation.
http://abstract.rsna.org/uploads/2014/14001600/14001600_9exb.pdf
Garcia Figueiras, R,
Padhani, A,
Beer, A,
Baleato Gonzalez, S,
Luna, A,
Vilanova, J,
Oleaga, L,
Ageitos Casais, M,
Martinez De Alegria, A,
Multiparametric Imaging in Oncology: Deconstructing Tumor Microenvironment [ MI Scavenger Hunt! ]. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14001600.html