Literature DB >> 15708744

Using imaging biomarkers to accelerate drug development and clinical trials.

Homer H Pien1, Alan J Fischman, James H Thrall, A Gregory Sorensen.   

Abstract

There is increasing evidence that human medical imaging can help answer key questions that arise during the drug development process. Imaging modalities such as magnetic resonance imaging, computed tomography and positron emission tomography can offer significant insights into the bioactivity, pharmacokinetics and dosing of drugs, in addition to supporting registration applications. In this review, examples from oncology, neurology, psychiatry, infectious diseases and inflammatory diseases are used to illustrate the role imaging can play. We conclude with some remarks concerning new developments that will be required to significantly advance the field of pharmaco-imaging.

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Year:  2005        PMID: 15708744     DOI: 10.1016/S1359-6446(04)03334-3

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  19 in total

1.  Pharmacodynamic evaluation of irinotecan therapy by FDG and FLT PET/CT imaging in a colorectal cancer xenograft model.

Authors:  Sarah R Mudd; Kimberley D Holich; Martin J Voorbach; Todd B Cole; David R Reuter; Paul Tapang; Gail Bukofzer; Arunava Chakravartty; Cherrie K Donawho; Joann P Palma; Gerard B Fox; Mark Day; Yanping Luo
Journal:  Mol Imaging Biol       Date:  2012-10       Impact factor: 3.488

2.  Predicting brain occupancy from plasma levels using PET: superiority of combining pharmacokinetics with pharmacodynamics while modeling the relationship.

Authors:  Euitae Kim; Oliver D Howes; Bo-Hyung Kim; Jae Min Jeong; Jae Sung Lee; In-Jin Jang; Sang-Goo Shin; Federico E Turkheimer; Shitij Kapur; Jun Soo Kwon
Journal:  J Cereb Blood Flow Metab       Date:  2011-12-21       Impact factor: 6.200

3.  Medical imaging in new drug clinical development.

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

Review 4.  Microdialysis versus other techniques for the clinical assessment of in vivo tissue drug distribution.

Authors:  Martin Brunner; Oliver Langer
Journal:  AAPS J       Date:  2006-04-14       Impact factor: 4.009

Review 5.  Imaging biomarkers: from research to patient care--a shift in view.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-10       Impact factor: 9.236

Review 6.  A novel knowledge representation framework for the statistical validation of quantitative imaging biomarkers.

Authors:  Andrew J Buckler; David Paik; Matt Ouellette; Jovanna Danagoulian; Gary Wernsing; Baris E Suzek
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

7.  Monitoring disease activity noninvasively in the mdx model of Duchenne muscular dystrophy.

Authors:  Antonio Filareto; Katie Maguire-Nguyen; Qiang Gan; Garazi Aldanondo; Léo Machado; Jeffrey S Chamberlain; Thomas A Rando
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-09       Impact factor: 11.205

Review 8.  Clinical utility of quantitative imaging.

Authors:  Andrew B Rosenkrantz; Mishal Mendiratta-Lala; Brian J Bartholmai; Dhakshinamoorthy Ganeshan; Richard G Abramson; Kirsteen R Burton; John-Paul J Yu; Ernest M Scalzetti; Thomas E Yankeelov; Rathan M Subramaniam; Leon Lenchik
Journal:  Acad Radiol       Date:  2014-10-22       Impact factor: 3.173

9.  Upper airway obstructive disease in mucopolysaccharidoses: polysomnography, computed tomography and nasal endoscopy findings.

Authors:  F Santamaria; M V Andreucci; G Parenti; M Polverino; D Viggiano; S Montella; A Cesaro; R Ciccarelli; B Capaldo; G Andria
Journal:  J Inherit Metab Dis       Date:  2007-06-14       Impact factor: 4.982

10.  Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theory.

Authors:  Walker H Land; Dan Margolis; Ronald Gottlieb; Elizabeth A Krupinski; Jack Y Yang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

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