Literature DB >> 12663828

Biomarkers in imaging: realizing radiology's future.

John J Smith1, A Gregory Sorensen, James H Thrall.   

Abstract

Modern pharmaceuticals and medical devices have provided substantial benefits to patients throughout the world. These benefits come at a high and increasing cost, with development of the typical pharmaceutical requiring 12 years and hundreds of millions of dollars before gaining U.S. Food and Drug Administration marketing approval. Appropriate use of imaging biomarkers--defined as anatomic, physiologic, biochemical, or molecular parameters detectable with imaging methods used to establish the presence or severity of disease--offer the prospect of smaller, less expensive, and more efficient preclinical studies and clinical trials. Scientists, government regulators, and industry have all recognized the potential of biomarkers in imaging. Although real, this promise can only be realized with the rigorous application of science to their use. Success is most likely when (a) the presence of an imaging marker is closely linked with the presence of a target disease; (b) detection and/or measurement of the biomarker is accurate, reproducible, and feasible over time; and (c) measured changes are closely linked to success or failure of the therapeutic effect of the product being evaluated. By applying this paradigm to the array of imaging modalities, the radiology community is poised to become a major force in preclinical and clinical evaluations of new medical treatments.

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Year:  2003        PMID: 12663828     DOI: 10.1148/radiol.2273020518

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  46 in total

1.  Medical imaging in new drug clinical development.

Authors:  Yi-Xiang Wang; Min Deng
Journal:  J Thorac Dis       Date:  2010-12       Impact factor: 2.895

2.  Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy.

Authors:  Albert E Cerussi; Vaya W Tanamai; David Hsiang; John Butler; Rita S Mehta; Bruce J Tromberg
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-28       Impact factor: 4.226

Review 3.  [Quantitative imaging in rheumatoid arthritis: from scoring to measurement].

Authors:  P Peloschek; G Langs; A Valentinitsch; M Bubale; T Schlager; C Müller-Mang; F Kainberger
Journal:  Radiologe       Date:  2006-05       Impact factor: 0.635

4.  Multiparametric MRI biomarkers for measuring vascular disrupting effect on cancer.

Authors:  Huaijun Wang; Guy Marchal; Yicheng Ni
Journal:  World J Radiol       Date:  2011-01-28

5.  An interventional magnetic resonance imaging technique for the molecular characterization of intraprostatic dynamic contrast enhancement.

Authors:  Cynthia Ménard; Robert C Susil; Peter Choyke; Jonathan Coleman; Robert Grubb; Ahmed Gharib; Axel Krieger; Peter Guion; David Thomasson; Karen Ullman; Sandeep Gupta; Virginia Espina; Lance Liotta; Emanuel Petricoin; Gabor Fitchtinger; Louis L Whitcomb; Ergin Atalar; C Norman Coleman; Kevin Camphausen
Journal:  Mol Imaging       Date:  2005 Jan-Mar       Impact factor: 4.488

6.  Imaging biomarkers as surrogate endpoints for drug development.

Authors:  Wolf S Richter
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-07       Impact factor: 9.236

7.  Imaging-based observational databases for clinical problem solving: the role of informatics.

Authors:  Alex A T Bui; William Hsu; Corey Arnold; Suzie El-Saden; Denise R Aberle; Ricky K Taira
Journal:  J Am Med Inform Assoc       Date:  2013-06-17       Impact factor: 4.497

Review 8.  Methods and challenges in quantitative imaging biomarker development.

Authors:  Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Leon Lenchik; Rathan M Subramaniam
Journal:  Acad Radiol       Date:  2015-01       Impact factor: 3.173

9.  Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets.

Authors:  Huiman X Barnhart; Daniel P Barboriak
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

Review 10.  Colorectal cancer: imaging surveillance following resection of primary tumour.

Authors:  Ken Miles; Guy Burkill
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

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