Literature DB >> 23417357

Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression.

Ajay Agarwal1, Sanath Kumar, Jayant Narang, Lonni Schultz, Tom Mikkelsen, Sumei Wang, Sarmad Siddiqui, Harish Poptani, Rajan Jain.   

Abstract

Pseudo-progression (PsP) refers to the paradoxical increase of contrast enhancement within 12 weeks of chemo-radiation therapy in gliomas attributable to treatment effects rather than early tumor progression (ETP). This study was performed to evaluate the utility of morphologic imaging features, diffusion tensor imaging (DTI) and radiation dosimetric analysis of magnetic resonance imaging (MRI) changes in differentiating PsP from ETP. Serial MRI examinations of 163 patients treated for high-grade glioma were reviewed. 46 patients showed a recurrent or progressive enhancing lesion within 12 weeks of radiotherapy. We used an in-house modified scoring system based on 20 different morphologic features (modified VASARI features) to assess the MRI studies. DTI analyses were performed in 24 patients. MRI changes were defined as recurrent volume (Vrec) and registered with pretreatment computed tomography dataset, and the actual dose received by the Vrec during treatment was calculated using dose-volume histograms. Bidimensional product of T2-FLAIR signal abnormality and enhancing component was larger in the ETP group. DTI metrics revealed no significant difference between the two groups. There was no statistically significant difference in the location of Vrec between PsP and ETP groups. Morphologic MRI features and DTI have a limited role in differentiating between PsP and ETP. The larger sizes of the T2-FLAIR signal abnormality and the enhancing component of the lesion favor ETP. There was no correlation between the pattern of MRI changes and radiation dose distribution between PsP and ETP groups.

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Year:  2013        PMID: 23417357     DOI: 10.1007/s11060-013-1070-1

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  29 in total

1.  Early necrosis following concurrent Temodar and radiotherapy in patients with glioblastoma.

Authors:  Marc C Chamberlain; Michael J Glantz; Lisa Chalmers; Alixis Van Horn; Andrew E Sloan
Journal:  J Neurooncol       Date:  2006-08-31       Impact factor: 4.130

2.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

3.  Multimodality image registration by maximization of mutual information.

Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

4.  Diffusion-weighted imaging of radiation-induced brain injury for differentiation from tumor recurrence.

Authors:  Chiaki Asao; Yukunori Korogi; Mika Kitajima; Toshinori Hirai; Yuji Baba; Keishi Makino; Masato Kochi; Shoji Morishita; Yasuyuki Yamashita
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

5.  Potential for differentiation of pseudoprogression from true tumor progression with dynamic susceptibility-weighted contrast-enhanced magnetic resonance imaging using ferumoxytol vs. gadoteridol: a pilot study.

Authors:  Seymur Gahramanov; Ahmed M Raslan; Leslie L Muldoon; Bronwyn E Hamilton; William D Rooney; Csanad G Varallyay; Jeffrey M Njus; Marianne Haluska; Edward A Neuwelt
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-04-13       Impact factor: 7.038

6.  Survival and failure patterns of high-grade gliomas after three-dimensional conformal radiotherapy.

Authors:  June L Chan; Susan W Lee; Benedick A Fraass; Daniel P Normolle; Harry S Greenberg; Larry R Junck; Stephen S Gebarski; Howard M Sandler
Journal:  J Clin Oncol       Date:  2002-03-15       Impact factor: 44.544

7.  Differentiation of recurrent brain tumor versus radiation injury using diffusion tensor imaging in patients with new contrast-enhancing lesions.

Authors:  Pia C Sundgren; Xiaoying Fan; Patrick Weybright; Robert C Welsh; Ruth C Carlos; Myria Petrou; Paul E McKeever; Thomas L Chenevert
Journal:  Magn Reson Imaging       Date:  2006-09-18       Impact factor: 2.546

8.  First-pass perfusion computed tomography: initial experience in differentiating recurrent brain tumors from radiation effects and radiation necrosis.

Authors:  Rajan Jain; Lisa Scarpace; Shehanaz Ellika; Lonni R Schultz; Jack P Rock; Mark L Rosenblum; Suresh C Patel; Ting-Yim Lee; Tom Mikkelsen
Journal:  Neurosurgery       Date:  2007-10       Impact factor: 4.654

9.  Patterns of failure following high-dose 3-D conformal radiotherapy for high-grade astrocytomas: a quantitative dosimetric study.

Authors:  S W Lee; B A Fraass; L H Marsh; K Herbort; S S Gebarski; M K Martel; E H Radany; A S Lichter; H M Sandler
Journal:  Int J Radiat Oncol Biol Phys       Date:  1999-01-01       Impact factor: 7.038

10.  Distinguishing recurrent intra-axial metastatic tumor from radiation necrosis following gamma knife radiosurgery using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  R F Barajas; J S Chang; P K Sneed; M R Segal; M W McDermott; S Cha
Journal:  AJNR Am J Neuroradiol       Date:  2008-11-20       Impact factor: 3.825

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  16 in total

1.  Pseudo progression identification of glioblastoma with dictionary learning.

Authors:  Jian Zhang; Hengyong Yu; Xiaohua Qian; Keqin Liu; Hua Tan; Tielin Yang; Maode Wang; King Chuen Li; Michael D Chan; Waldemar Debinski; Anna Paulsson; Ge Wang; Xiaobo Zhou
Journal:  Comput Biol Med       Date:  2016-04-01       Impact factor: 4.589

2.  Blood-Based Biomarkers in High Grade Gliomas: a Systematic Review.

Authors:  Daniela Pierscianek; Yahya Ahmadipour; Marvin Darkwah Oppong; Laurèl Rauschenbach; Sied Kebir; Martin Glas; Ulrich Sure; Ramazan Jabbarli
Journal:  Mol Neurobiol       Date:  2019-02-04       Impact factor: 5.590

Review 3.  Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis.

Authors:  Rik van den Elshout; Tom W J Scheenen; Chantal M L Driessen; Robert J Smeenk; Frederick J A Meijer; Dylan Henssen
Journal:  Insights Imaging       Date:  2022-10-04

Review 4.  Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma.

Authors:  Sanjeev Chawla; Sultan Bukhari; Omar M Afridi; Sumei Wang; Santosh K Yadav; Hamed Akbari; Gaurav Verma; Kavindra Nath; Mohammad Haris; Stephen Bagley; Christos Davatzikos; Laurie A Loevner; Suyash Mohan
Journal:  NMR Biomed       Date:  2022-03-15       Impact factor: 4.478

5.  Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients.

Authors:  Manal Nicolasjilwan; Ying Hu; Chunhua Yan; Daoud Meerzaman; Chad A Holder; David Gutman; Rajan Jain; Rivka Colen; Daniel L Rubin; Pascal O Zinn; Scott N Hwang; Prashant Raghavan; Dima A Hammoud; Lisa M Scarpace; Tom Mikkelsen; James Chen; Olivier Gevaert; Kenneth Buetow; John Freymann; Justin Kirby; Adam E Flanders; Max Wintermark
Journal:  J Neuroradiol       Date:  2014-07-02       Impact factor: 3.447

Review 6.  Emerging methods for disease monitoring in malignant gliomas.

Authors:  Prakash Ambady; Chetan Bettegowda; Matthias Holdhoff
Journal:  CNS Oncol       Date:  2013-11

7.  Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI.

Authors:  S Wang; M Martinez-Lage; Y Sakai; S Chawla; S G Kim; M Alonso-Basanta; R A Lustig; S Brem; S Mohan; R L Wolf; A Desai; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-08       Impact factor: 3.825

8.  Neuroimaging classification of progression patterns in glioblastoma: a systematic review.

Authors:  Rory J Piper; Keerthi K Senthil; Jiun-Lin Yan; Stephen J Price
Journal:  J Neurooncol       Date:  2018-03-30       Impact factor: 4.130

9.  Microvesicles as a Biomarker for Tumor Progression versus Treatment Effect in Radiation/Temozolomide-Treated Glioblastoma Patients.

Authors:  Cameron J Koch; Robert A Lustig; Xiang-Yang Yang; Walter T Jenkins; Ronald L Wolf; Maria Martinez-Lage; Arati Desai; Dewight Williams; Sydney M Evans
Journal:  Transl Oncol       Date:  2014-12       Impact factor: 4.243

Review 10.  Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis.

Authors:  Bart R J van Dijken; Peter Jan van Laar; Gea A Holtman; Anouk van der Hoorn
Journal:  Eur Radiol       Date:  2017-03-22       Impact factor: 5.315

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