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The mission of the Quantitative Imaging Network (QIN) is to improve the role of quantitative imaging for clinical decision making in oncology by the development developing and validation of validating data acquisition, analysis methods, and tools to tailor treatment to for individual patients and to predict or monitor the response to drug or radiation therapy. |
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Apply to the QIN: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150
The Quantitative Imaging Network: Quantitative Imaging for Evaluation of Responses to Cancer Therapies is designed to promote promotes the research and development of quantitative imaging methods for the measurement of to measure tumor response to therapies in clinical trial settings , with the overall goal of facilitating clinical decision making. Projects include the appropriate development and adaptation/implementation of quantitative imaging methods, imaging protocols, and software solutions/tools (using existing commercial imaging platforms and instrumentation), and application of these methods in current and planned Phase phase 1 and 2 clinical therapy trials. The projects are focusing on imaging-derived quantitative measurements of responses to drugs and/or radiation therapy, and/or image-guided interventions (IGI). The goals require multidisciplinary efforts, include including oncologists as well as clinical and basic imaging scientists as well as and the involvement of industrial partners in the development and adaptation/implementation of quantitative imaging methods to aid cancer therapies.
This network is one of several being conducted developed within the Cancer Imaging Program. The main emphasis is on the support of the development and adaptation/implementation of quantitative imaging endpoints (including imaging methods and related software tools research, and/or informatics infrastructure, as needed). Any related clinical trials are not supported under this program.
To date, seventeen centers of imaging excellence have been selected through the NIH peer National Institute of Health peer review process and more will be added as they pass through peer review. Five working groups , addressing address common issues to the various programs, including data collection, data evaluation, informatics, and potential clinical trials have been established, composed of members of the different programs, though not necessarily the principal investigators. Various . Various program staff from the NCI have oversight of National Cancer Institute (NCI) oversee the network through monthly phone calls. The Network network meets monthly via teleconference and organizes network-wide activities such as consensus publications, cross-network activities, associate membership in the network, and semi-annual face-to-face meetings.
The organization of the QIN is more than just an assembly of individual research programs. In In addition to the Steering Committee, the presently funded seven centers are linked by five working groups. These are functions identified by the centers as being common to each center. By pooling resources in these areas, the centers can leverage their resources and prevent "siloing", a common problem in many multi-site initiatives.
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To clarify rules of engagement and to encourage meaningful data sharing, QIN adopted a data sharing policy in November 2013. The spirit of this policy is one of collaboration and flexibility intended to introduce a minimal amount of oversight and/or committee work to QIN members. The QIN is committed to providing provides commercial and academic investigators with an opportunity to access data collected as part of QIN studies for purposes that are consistent with the missions of the QIN and the NCI. All QIN members, associate/affiliate members, external collaborators, and companies are made aware of the guiding principles of the Quantitative Imaging Network QIN Resource Sharing Policy. The objective of the data sharing policy is to help maximize the effectiveness of the QIN by fostering an environment of collaboration and sharing, while addressing concerns of data being used without consent, either by a member of the QIN or an external collaborator. Concerns about inappropriate data use of these shared data could hinder the multi-center collaborations within the QIN.
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To facilitate data sharing, the QIN increasingly relies of on the facilities of the The Cancer Imaging Archive (TCIA) as a resource, which addresses many of the principles set forth in the data sharing policy. Most importantly, the TCIA provides a mechanism for access-controlled data sharing and extensive de-identification services, which comply with Health Insurance Portability and Accountability Act (HIPAA) regulations. This drastically reduces the burden on QIN sites when sharing their data. Currently, the following QIN data sets are publicly accessible with , while several others are still being shared internally within the network:
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