Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network

• Type of Material: Article
• Authors: Ella F. Jones, University of California San Francisco; John M. Buatti, University of Iowa; Hui-Kuo Shu, Emory University; Richard L. Wahl, Washington University; Brenda F. Kurland, University of Pittsburgh; Hannah M. Linden, University of Washington; David A. Mankoff, University of Pennsylvania; Daniel L. Rubin, Stanford University; Darrell Tata, National Cancer Institute; Robert J. Nordstrom, National Cancer Institute; Lubomir Hadjiyski, University of Michigan; Matthias Holdhoff, Johns Hopkins University; Lawrence H. Schwartz, Columbia University
• Language: English
• Date: 2020-06-01
• Publisher: Grapho Publications
• Publication Version: Final Published Version
• Copyright Statement: © 2020 The Authors. Published by Grapho Publications.
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.18383/j.tom.2019.00022
• Title of Journal or Parent Work: Tomography
• Volume: 6
• Issue: 2
• Start Page: 60
• End Page: 64
• Grant/Funding Information: U01CA148131 for HML; U01CA142555, 1U01CA190214, 1U01CA187947, and U01CA242879 for DLR;; U01CA179106 and U01CA232931 for LH; P30CA006973 for MH; and U01CA140207 for LHS.; U01CA172027 for HKS;; U01CA140204 for RLW;; U01CA148131 and U01CA140230 for BFK;; This work was supported in part by NIH/NCI U01CA151235 and U01CA225427 for EFJ;; U01CA140206 for JMB
• Keywords: Quantitative Imaging Network (QIN); Radiology, Nuclear Medicine & Medical Imaging; Science & Technology; Diagnostic accuracy; Life Sciences & Biomedicine; PET; Clinical Trial Design and Development (CTDD)
• Research Categories: Physics, Radiation; Health Sciences, Radiology; Engineering, Biomedical; Health Sciences, Oncology

Abstract

The Clinical Trial Design and Development Working Group within the Quantitative Imaging Network focuses on providing support for the development, validation, and harmonization of quantitative imaging (QI) methods and tools for use in cancer clinical trials. In the past 10 years, the Group has been working in several areas to identify challenges and opportunities in clinical trials involving QI and radiation oncology. The Group has been working with Quantitative Imaging Network members and the Quantitative Imaging Biomarkers Alliance leadership to develop guidelines for standardizing the reporting of quantitative imaging. As a validation platform, the Group led a multireader study to test a semi-automated positron emission tomography quantification software. Clinical translation of QI tools cannot be possible without a continuing dialogue with clinical users. This article also highlights the outreach activities extended to cooperative groups and other organizations that promote the use of QI tools to support clinical decisions.