dc.contributor.author |
Buckler, Andrew J |
|
dc.contributor.author |
Bresolin, Linda |
|
dc.contributor.author |
Dunnick, N Reed |
|
dc.contributor.author |
Sullivan, Daniel C |
|
dc.contributor.author |
Group |
|
dc.date.accessioned |
2020-12-07T23:41:09Z |
|
dc.date.available |
2020-12-07T23:41:09Z |
|
dc.date.issued |
2011-03 |
|
dc.identifier |
258/3/906 |
|
dc.identifier.issn |
0033-8419 |
|
dc.identifier.issn |
1527-1315 |
|
dc.identifier.uri |
https://hdl.handle.net/10161/21871 |
|
dc.description.abstract |
Medical imaging has seen substantial and rapid technical advances during the past
decade, including advances in image acquisition devices, processing and analysis software,
and agents to enhance specificity. Traditionally, medical imaging has defined anatomy,
but increasingly newer, more advanced, imaging technologies provide biochemical and
physiologic information based on both static and dynamic modalities. These advanced
technologies are important not only for detecting disease but for characterizing and
assessing change of disease with time or therapy. Because of the rapidity of these
advances, research to determine the utility of quantitative imaging in either clinical
research or clinical practice has not had time to mature. Methods to appropriately
develop, assess, regulate, and reimburse must be established for these advanced technologies.
Efficient and methodical processes that meet the needs of stakeholders in the biomedical
research community, therapeutics developers, and health care delivery enterprises
will ultimately benefit individual patients. To help address this, the authors formed
a collaborative program-the Quantitative Imaging Biomarker Alliance. This program
draws from the very successful precedent set by the Integrating the Healthcare Enterprise
effort but is adapted to the needs of imaging science. Strategic guidance supporting
the development, qualification, and deployment of quantitative imaging biomarkers
will lead to improved standardization of imaging tests, proof of imaging test performance,
and greater use of imaging to predict the biologic behavior of tissue and monitor
therapy response. These, in turn, confer value to corporate stakeholders, providing
incentives to bring new and innovative products to market.
|
|
dc.language |
eng |
|
dc.publisher |
Radiological Society of North America (RSNA) |
|
dc.relation.ispartof |
Radiology |
|
dc.relation.isversionof |
10.1148/radiol.10100799 |
|
dc.subject |
Group |
|
dc.subject |
Humans |
|
dc.subject |
Biological Markers |
|
dc.subject |
Diagnostic Imaging |
|
dc.subject |
Cooperative Behavior |
|
dc.subject |
Biomedical Research |
|
dc.subject |
Industry |
|
dc.subject |
Diffusion of Innovation |
|
dc.title |
A collaborative enterprise for multi-stakeholder participation in the advancement
of quantitative imaging.
|
|
dc.type |
Journal article |
|
duke.contributor.id |
Sullivan, Daniel C|0168990 |
|
dc.date.updated |
2020-12-07T23:41:08Z |
|
pubs.begin-page |
906 |
|
pubs.end-page |
914 |
|
pubs.issue |
3 |
|
pubs.organisational-group |
School of Medicine |
|
pubs.organisational-group |
Duke Clinical Research Institute |
|
pubs.organisational-group |
Radiology |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Institutes and Centers |
|
pubs.organisational-group |
Clinical Science Departments |
|
pubs.publication-status |
Published |
|
pubs.volume |
258 |
|
duke.contributor.orcid |
Sullivan, Daniel C|0000-0002-7556-5650 |
|