Improving cancer diagnosis and care : clinical application of computational methods in precision oncology : proceedings of a workshop /

Saved in:

Bibliographic Details
Author / Creator:	Zevon, Emily, rapporteur.
Imprint:	Washington, DC : National Academies Press, [2019]
Description:	1 online resource (1 PDF file (xx, 71 pages)) : illustrations
Language:	English
Series:	Online access: National Academy of Sciences National Academies Press. Online access: NCBI NCBI Bookshelf.
Subject:	Cancer -- Diagnosis -- Congresses. Diagnostic imaging -- Congresses. Cancer -- Treatment -- Congresses. Cancer -- Patients -- Congresses. Neoplasms -- diagnostic imaging. Neoplasms -- therapy. Patient-Specific Modeling. Precision Medicine. Cancer -- Diagnosis. Cancer -- Patients. Cancer -- Treatment. Diagnostic imaging. United States. Congress. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12486020

Hidden Bibliographic Details
Other authors / contributors:	Patlak, Margie, rapporteur. Nass, Sharyl J., rapporteur. National Cancer Policy Forum (U.S.), issuing body. Improving Cancer Diagnosis and Care: Clinical Application of Computational Methods in Precision Oncology (Workshop) (2018 : Washington, D.C.)
ISBN:	9780309490818 0309490812 9780309490849 0309490847
Notes:	Includes bibliographical references. This activity was supported by Contract No. 200-2011-38807 (Task Order No. 75D30118F00071) and Contract No. HHSN263201800029I (Task Order No. HHSN26300008) with the Centers for Disease Control and Prevention and the National Cancer Institute/National Institutes of Health, respectively, and by the American Association for Cancer Research, American Cancer Society, American College of Radiology, American Society of Clinical Oncology, Association of American Cancer Institutes, Association of Community Cancer Centers, Bristol-Myers Squibb, Cancer Support Community, CEO Roundtable on Cancer, Flatiron Health, Helsinn Therapeutics (U.S.), Inc., LIVESTRONG Foundation, Merck, National Comprehensive Cancer Network, Novartis Oncology, Oncology Nursing Society, and Pfizer Inc. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. Description based on online resource; title from PDF title page (viewed November 26, 2019).
Summary:	A hallmark of high-quality cancer care is the delivery of the right treatment to the right patient at the right time. Precision oncology therapies, which target specific genetic changes in a patient's cancer, are changing the nature of cancer treatment by allowing clinicians to select therapies that are most likely to benefit individual patients. In current clinical practice, oncologists are increasingly formulating cancer treatment plans using results from complex laboratory and imaging tests that characterize the molecular underpinnings of an individual patient's cancer. These molecular fingerprints can be quite complex and heterogeneous, even within a single patient. To enable these molecular tumor characterizations to effectively and safely inform cancer care, the cancer community is working to develop and validate multiparameter omics tests and imaging tests as well as software and computational methods for interpretation of the resulting datasets. To examine opportunities to improve cancer diagnosis and care in the new precision oncology era, the National Cancer Policy Forum developed a two-workshop series. The first workshop focused on patient access to expertise and technologies in oncologic imaging and pathology and was held in February 2018. The second workshop, conducted in collaboration with the Board on Mathematical Sciences and Analytics, was held in October 2018 to examine the use of multidimensional data derived from patients with cancer, and the computational methods that analyze these data to inform cancer treatment decisions. This publication summarizes the presentations and discussions from the second workshop.
Other form:	Print version: Improving Cancer Diagnosis and Care: Clinical Application of Computational Methods in Precision Oncology (Workshop) (2019 : Washington, D.C.), author. Improving cancer diagnosis and care. Washington, DC : The National Academies Press, 2019 0309490812

Table of Contents:

Acronyms and Abbreviations
Proceedings of a Workshop
Workshop Overview
New Paradigm in Cancer Diagnosis and Care
Computational Technologies
Machine Learning
Machine Learning Applications in Radiology
Health Apps
Translation Challenges
Data Quality and Completeness
Risk of Bias
Validation of Computational Precision Oncology
Test Development and Analytical Validation Steps
Statistical Validation
Clinical Validation
Face Validity
Gaps in Reproducibility
Regulatory Oversight
Digital Data Standards
Devices
Software as a Medical Device
Quantitative Imaging Devices
Laboratory Developed Tests
Patient Privacy
Genera] Data Protection Regulation
California Consumer Privacy Act of 2018
Communicating Results and Risks to Patients
Challenges for Payers
Research Needed
Examples of Care Delivery Models for Computational Precision Medicine
Moffitt Cancer Center Precision Oncology Program
Intermountain Healthcare Precision Oncology Program
Department of Veterans Affairs' National Precision Oncology Program
University of California
Vanderbilt-Ingram Cancer Centers My Cancer Genome
Lessons Learned from Implementing Computational Precision Oncology Care
Financial Support
Patient-Centered and Clinician-Friendly Design
Informed Consent
Improve Clinician Understanding of Omics and Analytics
Standards
Data Sharing
Large-Scale Public Databases
Incentives for Sharing Data
Enabling Patient Sharing of Data
Data Protection
Multidisciplinary Teamwork
Wrap-Up
References
Appendix A. Statement of Task
Appendix B. Workshop Agenda

Improving cancer diagnosis and care : clinical application of computational methods in precision oncology : proceedings of a workshop /

Similar Items