Literature DB >> 20368564

Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma.

Christina Tsien1, Craig J Galbán, Thomas L Chenevert, Timothy D Johnson, Daniel A Hamstra, Pia C Sundgren, Larry Junck, Charles R Meyer, Alnawaz Rehemtulla, Theodore Lawrence, Brian D Ross.   

Abstract

PURPOSE: To assess whether a new method of quantifying therapy-associated hemodynamic alterations may help to distinguish pseudoprogression from true progression in patients with high-grade glioma. PATIENTS AND METHODS: Patients with high-grade glioma received concurrent chemoradiotherapy. Relative cerebral blood volume (rCBV) and blood flow (rCBF) maps were acquired before chemoradiotherapy and at week 3 during treatment on a prospective institutional review board-approved study. Pseudoprogression was defined as imaging changes 1 to 3 months after chemoradiotherapy that mimic tumor progression but stabilized or improved without change in treatment or for which resection revealed radiation effects only. Clinical and conventional magnetic resonance (MR) parameters, including average percent change of rCBV and CBF, were evaluated as potential predictors of pseudoprogression. Parametric response map (PRM), an innovative, voxel-by-voxel method of image analysis, was also performed.
RESULTS: Median radiation dose was 72 Gy (range, 60 to 78 Gy). Of 27 patients, stable disease/partial response was noted in 13 patients and apparent progression was noted in 14 patients. Adjuvant temozolomide was continued in all patients. Pseudoprogression occurred in six patients. Based on PRM analysis, a significantly reduced blood volume (PRM(rCBV)) at week 3 was noted in patients with progressive disease as compared with those with pseudoprogression (P < .01). In contrast, change in average percent rCBV or rCBF, MR tumor volume changes, age, extent of resection, and Radiation Therapy Oncology Group recursive partitioning analysis classification did not distinguish progression from pseudoprogression.
CONCLUSION: PRM(rCBV) at week 3 during chemoradiotherapy is a potential early imaging biomarker of response that may be helpful in distinguishing pseudoprogression from true progression in patients with high-grade glioma.

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Year:  2010        PMID: 20368564      PMCID: PMC2860441          DOI: 10.1200/JCO.2009.25.3971

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  22 in total

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9.  The parametric response map is an imaging biomarker for early cancer treatment outcome.

Authors:  Craig J Galbán; Thomas L Chenevert; Charles R Meyer; Christina Tsien; Theodore S Lawrence; Daniel A Hamstra; Larry Junck; Pia C Sundgren; Timothy D Johnson; David J Ross; Alnawaz Rehemtulla; Brian D Ross
Journal:  Nat Med       Date:  2009-04-19       Impact factor: 53.440

Review 10.  Physiologic and metabolic magnetic resonance imaging in gliomas.

Authors:  Yue Cao; Pia C Sundgren; Christina I Tsien; Thomas T Chenevert; Larry Junck
Journal:  J Clin Oncol       Date:  2006-03-10       Impact factor: 44.544

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  82 in total

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Review 5.  The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint.

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Review 6.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

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Review 7.  Pseudoprogression and pseudoresponse: imaging challenges in the assessment of posttreatment glioma.

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Journal:  AJNR Am J Neuroradiol       Date:  2011-03-10       Impact factor: 3.825

8.  Impact of perfusion map analysis on early survival prediction accuracy in glioma patients.

Authors:  Benjamin Lemasson; Thomas L Chenevert; Theodore S Lawrence; Christina Tsien; Pia C Sundgren; Charles R Meyer; Larry Junck; Jennifer Boes; Stefanie Galbán; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross; Craig J Galbán
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Review 9.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
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Review 10.  Diffusion-weighted magnetic resonance imaging for tumour response assessment: why, when and how?

Authors:  A Afaq; A Andreou; D M Koh
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