Literature DB >> 19956380

Magnetic resonance assessment of response to therapy: tumor change measurement, truth data and error sources.

Edward F Jackson1, Daniel P Barboriak, Luc M Bidaut, Charles R Meyer.   

Abstract

This article describes methods and issues that are specific to the assessment of change in tumor characteristics as measured using quantitative magnetic resonance (MR) techniques and how this relates to the establishment of quantitative MR imaging (MRI) biomarkers of patient response to therapy. The initial focus is on the various sources of bias and variance in the measurement of microvascular parameters and diffusion parameters as such parameters are being used relatively commonly as secondary or exploratory end points in current phase 1/2 clinical trails of conventional and targeted therapies. Several ongoing initiatives that seek to identify the magnitude of some of the sources of measurement variations are then discussed. Finally, resources being made available through the National Cancer Institute Reference Image Database to Evaluate Response (RIDER) project that might be of use in investigations of quantitative MRI biomarker change analysis are described. These resources include 1) data from phantom-based assessment of system response, including short-term (1 hour) and moderate-term (1 week) contrast response and relaxation time measurement, 2) data obtained from repeated dynamic contrast agent-enhanced MRI studies in intracranial tumors, and 3) data obtained from repeated diffusion MRI studies in both breast and brain. A concluding section briefly discusses issues that must be addressed to allow the transition of MR-based imaging biomarker measures from their current role as secondary/exploratory end points in clinical trials to primary/surrogate markers of response and, ultimately, in clinical application.

Entities:  

Year:  2009        PMID: 19956380      PMCID: PMC2781079          DOI: 10.1593/tlo.09241

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  7 in total

1.  Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies.

Authors:  Caleb Roberts; Basma Issa; Andrew Stone; Alan Jackson; John C Waterton; Geoffrey J M Parker
Journal:  J Magn Reson Imaging       Date:  2006-04       Impact factor: 4.813

2.  Repeatability of quantitative parameters derived from diffusion tensor imaging in patients with glioblastoma multiforme.

Authors:  Michael J Paldino; Daniel Barboriak; Annick Desjardins; Henry S Friedman; James J Vredenburgh
Journal:  J Magn Reson Imaging       Date:  2009-05       Impact factor: 4.813

3.  Quantitative imaging for evaluation of response to cancer therapy.

Authors:  Laurence P Clarke; Barbara S Croft; Robert Nordstrom; Huiming Zhang; Gary Kelloff; J Tatum
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error.

Authors:  Paul E Kinahan; Robert K Doot; Michelle Wanner-Roybal; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Geoffrey McLennan
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

6.  Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.

Authors:  Charles R Meyer; Samuel G Armato; Charles P Fenimore; Geoffrey McLennan; Luc M Bidaut; Daniel P Barboriak; Marios A Gavrielides; Edward F Jackson; Michael F McNitt-Gray; Paul E Kinahan; Nicholas Petrick; Binsheng Zhao
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

7.  Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.

Authors:  Michael F McNitt-Gray; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Marios A Gavrielides; Charles Fenimore; Geoffrey McLennan; Nicholas Petrick; Binsheng Zhao; Anthony P Reeves; Reinhard Beichel; Hyun-Jung Grace Kim; Lisa Kinnard
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

  7 in total
  14 in total

1.  Quantitative imaging for evaluation of response to cancer therapy.

Authors:  Laurence P Clarke; Barbara S Croft; Robert Nordstrom; Huiming Zhang; Gary Kelloff; J Tatum
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

Review 2.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

3.  Spatially regularized T(1) estimation from variable flip angles MRI.

Authors:  Hesheng Wang; Yue Cao
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

4.  Gradient nonlinearity correction to improve apparent diffusion coefficient accuracy and standardization in the american college of radiology imaging network 6698 breast cancer trial.

Authors:  David C Newitt; Ek T Tan; Lisa J Wilmes; Thomas L Chenevert; John Kornak; Luca Marinelli; Nola Hylton
Journal:  J Magn Reson Imaging       Date:  2015-03-11       Impact factor: 4.813

Review 5.  Functional and molecular image guidance in radiotherapy treatment planning optimization.

Authors:  Shiva K Das; Randall K Ten Haken
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

6.  Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.

Authors:  Charles R Meyer; Samuel G Armato; Charles P Fenimore; Geoffrey McLennan; Luc M Bidaut; Daniel P Barboriak; Marios A Gavrielides; Edward F Jackson; Michael F McNitt-Gray; Paul E Kinahan; Nicholas Petrick; Binsheng Zhao
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

Review 7.  Meta-analysis of the technical performance of an imaging procedure: guidelines and statistical methodology.

Authors:  Erich P Huang; Xiao-Feng Wang; Kingshuk Roy Choudhury; Lisa M McShane; Mithat Gönen; Jingjing Ye; Andrew J Buckler; Paul E Kinahan; Anthony P Reeves; Edward F Jackson; Alexander R Guimaraes; Gudrun Zahlmann
Journal:  Stat Methods Med Res       Date:  2014-05-28       Impact factor: 3.021

8.  Biomechanical model for computing deformations for whole-body image registration: A meshless approach.

Authors:  Mao Li; Karol Miller; Grand Roman Joldes; Ron Kikinis; Adam Wittek
Journal:  Int J Numer Method Biomed Eng       Date:  2016-03-14       Impact factor: 2.747

9.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  M O Leach; B Morgan; P S Tofts; D L Buckley; W Huang; M A Horsfield; T L Chenevert; D J Collins; A Jackson; D Lomas; B Whitcher; L Clarke; R Plummer; I Judson; R Jones; R Alonzi; T Brunner; D M Koh; P Murphy; J C Waterton; G Parker; M J Graves; T W J Scheenen; T W Redpath; M Orton; G Karczmar; H Huisman; J Barentsz; A Padhani
Journal:  Eur Radiol       Date:  2012-05-07       Impact factor: 5.315

10.  Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility Study.

Authors:  Dariya I Malyarenko; David C Newitt; Ghoncheh Amouzandeh; Lisa J Wilmes; Ek T Tan; Luca Marinelli; Ajit Devaraj; Johannes M Peeters; Shivraman Giri; Axel Vom Endt; Nola M Hylton; Savannah C Partridge; Thomas L Chenevert
Journal:  Tomography       Date:  2020-06
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