Goals and History of the Workshop
Quantitative Imaging Workshop Publications List
Welcome and Overview – Carolyn R. (“Bo”) Aldigé, Prevent Cancer Foundation and James L. Mulshine, MD, Rush University Medical Center
Keynote – Kathryn H. Schmitz, PhD, MPH, FACSM, FTOS, FNAK, Penn State College of Medicine
Presentation title: “Exercise for Primary Prevention Among Patients Receiving Lung Cancer Screening”
Keynote slides – Kathryn H. Schmitz
James L. Mulshine, MD Leadership Award – Presentation to Dr. Mary Pasquinelli
Bruce S. Pyenson, FSA, MAAA, Milliman, Inc.
Topic 1: How Measurement Drives Population Health Models
Topic overview: Mary Barton, MD, MPP, Performance Measurement, National Committee for Quality Assurance
Topic overview: Cory Gusland, FSA, MAAA, Milliman, Inc.
Topic overview: Spencer Carrucciu, MPA, Oxeon Venture Studio, Oxeon Partners
Topic 2: How Organizations Operationalize Population Health: Technology—Existing and New—and How They Can Fit into Population Health
Bruce S. Pyenson, FSA, MAAA, Milliman, Inc.
Topic Overview: Jonathan B. Jaffery, MD, MS, MMM, University of Wisconsin-Madison and UW Health ACO
Topic Overview: QIW Panel: Leveraging new technology to advance cancer screening
Paul Limburg, MD, MPH, Exact Sciences and Mayo Clinic
Topic 1: Big Data and Vulnerable Populations – Addressing the Gap
Topic Overview: David Yankelevitz, MD, Icahn School of Medicine at Mount Sinai
Panelists: (NO SLIDES)
Anthony P. Reeves, PhD, School of Electrical and Computer Engineering, Cornell University
Melinda Aldrich, PhD, MPH, Department of Medicine, Vanderbilt University Medical Center
Emanuela Taioli, MD, PhD, Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai
Heather Pierce, JD, MPH, Center for Health Justice, Association of American Medical Colleges
Erik Lium, PhD, Mount Sinai Innovation Partners and Mount Sinai Health System
Topic 2: Models of Open Database Research: The Ethics of Using Big Data for Tool Development – How Do We Get There for Clinically Actionable AI?
Topic Overview: Christopher Lathan, MD, MS, MPH, Dana-Farber Cancer Institute
Topic overview: Shonta Chambers, MSW, Health Equity and Community Engagement, Patient Advocate Foundation
Topic overview: Samuel Cykert, MD, Health and Clinical Informatics Program, University of North Carolina School of Medicine
Topic 1: Is Annual Thoracic Screening a Venue to Deliver Preventive Interventions?
Topic Overview: Ravi Kalhan, MD, MS, Northwestern University Feinberg School of Medicine
Topic 2: Building a Guidance Document: Rational Clinical Interventions for Thoracic Screen-identified Pre-symptomatic Pulmonary Disease
Topic Overview: Translating Images into Clinical Interventions—How to Speed the Process?
Javier J. Zulueta, MD, FCCP, Icahn School of Medicine at Mount Sinai
George R. Washko, MMSc, MD, Brigham and Women’s Hospital and Harvard Medical School
Panelists (for both topics):
Raúl San José Estépar, PhD, Brigham and Women’s Hospital and Harvard Medical School
Lee Gazourian, MD, MS, Lahey Hospital & Medical Center
Ravi Kalhan, MD, MS, Northwestern University Feinberg School of Medicine
David M. Mannino, MD, FCCP, FERS, COPD Foundation and University of Kentucky
Ruth Tal-Singer, PhD, COPD Foundation
Topic 1: Improving CT Lung Cancer Screening Through Image Quality Optimization
Topic Overview: Ricardo Avila, MS, Accumetra LLC
Panelists
Mario Silva, MD, PhD, University of Parma (Italy)
Sean Fain, PhD, Functional Lung Imaging Laboratory, Iowa Institute for Biomedical Imaging, University of Iowa
Stephen Lam, MD, FRCPC, British Columbia Cancer Agency and Pan-Canadian Lung Cancer Screening Network (Canada)
Topic 2: Establishing a Technical Guidance for COPD and Lung Cancer Image Acquisition Protocol
Topic Overview: Charles Hatt, PhD, Imbio LLC and University of Michigan
Panelists
Ella Kazerooni, MD, MS, Michigan Medicine/University of Michigan Medical School
Nicholas Petrick, PhD, Division of Imaging, Diagnostics and Software Reliability, US Food and Drug Administration
George R. Washko, MMSc, MD, Brigham and Women’s Hospital and Harvard Medical School
Two simultaneous working breakouts to develop actionable plans for strategic progress in early thoracic disease outcomes.
Clinical Session – Data Use in the Time of Screening and AI: Defining Consensus, Value, Context and Responsibilities
Technical Session – Optimizing Image Quality and Acquisition Parameters to Enable Optimal Lung Cancer Screening with Assessment of COPD and Related Lung Injuries
Combined Breakout Session – Results & Action Plans
Technical Session final slides
The Prevent Cancer Foundation® values its partnerships with its supporters and appreciates the impact we make together on increasing cancer screening and early detection. If your organization would like to support the Quantitative Imaging Workshop, or for more information on how you can become a corporate partner, please contact Becca Ginns at becca.ginns@preventcancer.org.
