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Predicting Outcomes for
Genitourinary Malignancies:
Role of Radiomics in Clinical Practice
Ivan Pedrosa, MD, Maryellen Sun, MD, Masoom Haider, MD
Radiomics: An Introduction
Ivan Pedrosa, MD
Associate Professor of Radiology and
Advanced Imaging Research Center
Jack Reynolds M.D. Chair in Radiology
Co-Leader, Kidney Cancer Program
University of Texas Southwestern, Dallas, TX.
Disclosures
⚈
Philips Healthcare
⚈
Institutional Research Agreement
⚈
Shared patents
⚈
Siemens Healthineers
⚈
Institutional Research Agreement
Radiomics
⚈
This refresher course will review the
correlation between imaging phenotypes
and the clinical behavior of renal, urothelial,
and prostate malignancies
⚈
Emphasize how radiomic features can be
used to affect patient care
“Radiomics is defined as the conversion of
images to higher-dimensional data and
the subsequent mining of these data for
improved decision support”
Gillies RJ, Kinahan PE, Hricak H. Radiology 2016
“Radiomics appears to offer a nearly
limitless supply of imaging biomarkers that
could potentially aid cancer detection,
diagnosis, assessment of prognosis,
prediction of response to treatment, and
monitoring of disease status”
Gillies RJ, Kinahan PE, Hricak H. Radiology 2016
O’Connor JPB et al. Nature Reviews 2016
Biomarker
⚈
A defined characteristic that is measured
as an indicator of normal biological
processes, pathogenic processes, or
responses to an exposure or intervention,
including therapeutic interventions.
O’Connor JPB et al. Nature Reviews 2016
Imaging Biomarker
⚈
A spatially delineated biomarker derived
from measurements made on an image
O’Connor JPB et al. Nature Reviews 2016
Imaging Biomarker
⚈
Qualitative: cannot be expressed as a
quantity value (ordinal biomarkers)
⚈
Quantitative: magnitude is expressed as
a quantity value.
O’Connor JPB et al. Nature Reviews 2016
Imaging Biomarker
⚈
Quantitative: Objective characteristic
derived from an in vivo image as indicators
of normal biological processes, pathogenic
processes or a response to a therapeutic
intervention
O’Connor JPB et al. Nature Reviews 2016
“Radiomic analysis promises to
increase precision in diagnosis,
assessment of prognosis, and
prediction of therapy response”
Gillies RJ, Kinahan PE, Hricak H. Radiology 2016
“Radiomics is a new field, and there
are substantial challenges to its
implementation in a clinical setting ”
Gillies RJ, Kinahan PE, Hricak H. Radiology 2016
Radiomics
⚈
What are the unmet clinical needs in
kidney/urothelial/prostate cancer?
⚈
Why is Radiomics important now?
⚈
How can we transform personalized
medicine with radiomics in patients
with kidney/urothelial/prostate cancer?
Predicting Outcomes for
Genitourinary Malignancies:
Role of Radiomics in Clinical Practice
Ivan Pedrosa, MD, Maryellen Sun, MD, Masoom Haider, MD