Literature DB >> 22898682

Promise and pitfalls of quantitative imaging in oncology clinical trials.

Brenda F Kurland1, Elizabeth R Gerstner, James M Mountz, Lawrence H Schwartz, Christopher W Ryan, Michael M Graham, John M Buatti, Fiona M Fennessy, Edward A Eikman, Virendra Kumar, Kenneth M Forster, Richard L Wahl, Frank S Lieberman.   

Abstract

Quantitative imaging using computed tomography, magnetic resonance imaging and positron emission tomography modalities will play an increasingly important role in the design of oncology trials addressing molecularly targeted, personalized therapies. The advent of molecularly targeted therapies, exemplified by antiangiogenic drugs, creates new complexities in the assessment of response. The Quantitative Imaging Network addresses the need for imaging modalities which can accurately and reproducibly measure not just change in tumor size but changes in relevant metabolic parameters, modulation of relevant signaling pathways, drug delivery to tumor and differentiation of apoptotic cell death from other changes in tumor volume. This article provides an overview of the applications of quantitative imaging to phase 0 through phase 3 oncology trials. We describe the use of a range of quantitative imaging modalities in specific tumor types including malignant gliomas, lung cancer, head and neck cancer, lymphoma, breast cancer, prostate cancer and sarcoma. In the concluding section, we discuss potential constraints on clinical trials using quantitative imaging, including complexity of trial conduct, impact on subject recruitment, incremental costs and institutional barriers. Strategies for overcoming these constraints are presented.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22898682      PMCID: PMC3466405          DOI: 10.1016/j.mri.2012.06.009

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  99 in total

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Review 6.  Quantitative assessment of dynamic PET imaging data in cancer imaging.

Authors:  Mark Muzi; Finbarr O'Sullivan; David A Mankoff; Robert K Doot; Larry A Pierce; Brenda F Kurland; Hannah M Linden; Paul E Kinahan
Journal:  Magn Reson Imaging       Date:  2012-07-21       Impact factor: 2.546

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Authors:  Alexander M Spence; Mark Muzi; Jeanne M Link; Finbarr O'Sullivan; Janet F Eary; John M Hoffman; Lalitha K Shankar; Kenneth A Krohn
Journal:  Mol Imaging Biol       Date:  2009-03-27       Impact factor: 3.488

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Authors:  A Tuba Kendi; Amanda Corey; Kelly R Magliocca; Dana C Nickleach; James Galt; Jeffrey M Switchenko; Mark W El-Deiry; J Trad Wadsworth; Patricia A Hudgins; Nabil F Saba; David M Schuster
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Review 4.  NCTN Assessment on Current Applications of Radiomics in Oncology.

Authors:  Ke Nie; Hania Al-Hallaq; X Allen Li; Stanley H Benedict; Jason W Sohn; Jean M Moran; Yong Fan; Mi Huang; Michael V Knopp; Jeff M Michalski; James Monroe; Ceferino Obcemea; Christina I Tsien; Timothy Solberg; Jackie Wu; Ping Xia; Ying Xiao; Issam El Naqa
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5.  Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling.

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6.  Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: potential roles and possible pitfalls.

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Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

7.  Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: Results from a multicenter phantom study.

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8.  Radiology and Enterprise Medical Imaging Extensions (REMIX).

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Review 9.  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
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Review 10.  MR Imaging Biomarkers in Oncology Clinical Trials.

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Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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