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Tomography
Volume 6
Issue 2
10.18383/j.tom.2019.00022
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Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
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Article

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

by
Ella F. Jones
1,2,*,
John M. Buatti
3,
Hui-Kuo Shu
4,
Richard L. Wahl
5,
Brenda F. Kurland
6,7,
Hannah M. Linden
7,
David A. Mankoff
8,
Daniel L. Rubin
9,
Darrell Tata
10,
Robert J. Nordstrom
10,
Lubomir Hadjiyski
11,
Matthias Holdhoff
12 and
Lawrence H. Schwartz
13
1
School of Medicine, University of California San Francisco, San Francisco, CA, USA
2
Department of Radiology and Biomedical Imaging, University of California, San Francisco, 1600 Divisadero Street, Box 1667, San Francisco, CA 94115, USA
3
Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
4
Winship Cancer Institute, Emory University, Atlanta, GA, USA
5
School of Medicine, Washington University, St. Louis, MO, USA
6
Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
7
School of Medicine, University of Washington, Seattle, WA, USA
8
Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
9
School of Medicine, Stanford University, Stanford, CA, USA
10
Cancer Imaging Program, National Cancer Institute, Bethesda, MD, USA
11
Department of Radiology, University of Michigan, Ann Arbor, MI, USA
12
Sidney Kimmel Comprehensive Cancer Center, John Hopkins University, Baltimore, MD, USA
13
Irving Medical Center, Columbia University, New York Presbyterian Hospital, New York, NY, USA
 
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*
Author to whom correspondence should be addressed.
Tomography 2020, 6(2), 60-64; https://doi.org/10.18383/j.tom.2019.00022
Submission received: 3 March 2020 / Revised: 3 April 2020 / Accepted: 5 May 2020 / Published: 1 June 2020
Versions Notes

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.
Keywords: Clinical Trial Design and Development (CTDD); Quantitative Imaging Network (QIN) Clinical Trial Design and Development (CTDD); Quantitative Imaging Network (QIN)

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MDPI and ACS Style

Jones, E.F.; Buatti, J.M.; Shu, H.-K.; Wahl, R.L.; Kurland, B.F.; Linden, H.M.; Mankoff, D.A.; Rubin, D.L.; Tata, D.; Nordstrom, R.J.; et al. Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network. Tomography 2020, 6, 60-64. https://doi.org/10.18383/j.tom.2019.00022

AMA Style

Jones EF, Buatti JM, Shu H-K, Wahl RL, Kurland BF, Linden HM, Mankoff DA, Rubin DL, Tata D, Nordstrom RJ, et al. Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network. Tomography. 2020; 6(2):60-64. https://doi.org/10.18383/j.tom.2019.00022

Chicago/Turabian Style

Jones, Ella F., John M. Buatti, Hui-Kuo Shu, Richard L. Wahl, Brenda F. Kurland, Hannah M. Linden, David A. Mankoff, Daniel L. Rubin, Darrell Tata, Robert J. Nordstrom, and et al. 2020. "Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network" Tomography 6, no. 2: 60-64. https://doi.org/10.18383/j.tom.2019.00022

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