Literature DB >> 35233862

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

Sanjeev Chawla1, Sultan Bukhari2, Omar M Afridi2, Sumei Wang3, Santosh K Yadav4, Hamed Akbari1, Gaurav Verma5, Kavindra Nath1, Mohammad Haris4, Stephen Bagley6, Christos Davatzikos1, Laurie A Loevner1, Suyash Mohan1.   

Abstract

Pseudoprogression (PsP) refers to treatment-related clinico-radiologic changes mimicking true progression (TP) that occurs in patients with glioblastoma (GBM), predominantly within the first 6 months after the completion of surgery and concurrent chemoradiation therapy (CCRT) with temozolomide. Accurate differentiation of TP from PsP is essential for making informed decisions on appropriate therapeutic intervention as well as for prognostication of these patients. Conventional neuroimaging findings are often equivocal in distinguishing between TP and PsP and present a considerable diagnostic dilemma to oncologists and radiologists. These challenges have emphasized the need for developing alternative imaging techniques that may aid in the accurate diagnosis of TP and PsP. In this review, we encapsulate the current state of knowledge in the clinical applications of commonly used metabolic and physiologic magnetic resonance (MR) imaging techniques such as diffusion and perfusion imaging and proton spectroscopy in distinguishing TP from PsP. We also showcase the potential of promising imaging techniques, such as amide proton transfer and amino acid-based positron emission tomography, in providing useful information about the treatment response. Additionally, we highlight the role of "radiomics", which is an emerging field of radiology that has the potential to change the way in which advanced MR techniques are utilized in assessing treatment response in GBM patients. Finally, we present our institutional experiences and discuss future perspectives on the role of multiparametric MR imaging in identifying PsP in GBM patients treated with "standard-of-care" CCRT as well as novel/targeted therapies.
© 2022 John Wiley & Sons, Ltd.

Entities:  

Keywords:  amide proton transfer imaging; amino acid-based positron emission tomography; diffusion MR imaging; glioblastoma; perfusion MR imaging; proton MR spectroscopy; pseudoprogression; true progression

Mesh:

Substances:

Year:  2022        PMID: 35233862      PMCID: PMC9203929          DOI: 10.1002/nbm.4719

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.478


  149 in total

1.  Differentiation of true progression from pseudoprogression in glioblastoma treated with radiation therapy and concomitant temozolomide: comparison study of standard and high-b-value diffusion-weighted imaging.

Authors:  Hee Ho Chu; Seung Hong Choi; Inseon Ryoo; Soo Chin Kim; Jeong A Yeom; Hwaseon Shin; Seung Chai Jung; A Leum Lee; Tae Jin Yoon; Tae Min Kim; Se-Hoon Lee; Chul-Kee Park; Ji-Hoon Kim; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

2.  Apparent diffusion coefficient obtained by magnetic resonance imaging as a prognostic marker in glioblastomas: correlation with MGMT promoter methylation status.

Authors:  Andrea Romano; L F Calabria; F Tavanti; G Minniti; M C Rossi-Espagnet; V Coppola; S Pugliese; D Guida; G Francione; C Colonnese; L M Fantozzi; A Bozzao
Journal:  Eur Radiol       Date:  2012-08-10       Impact factor: 5.315

3.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

Authors:  Xiang Liu; Wei Tian; Balasubramanya Kolar; Gabrielle A Yeaney; Xing Qiu; Mahlon D Johnson; Sven Ekholm
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

Review 4.  Diffusion and diffusion tensor imaging in brain cancer.

Authors:  Elizabeth R Gerstner; A Gregory Sorensen
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

Review 5.  Clinical features, mechanisms, and management of pseudoprogression in malignant gliomas.

Authors:  Dieta Brandsma; Lukas Stalpers; Walter Taal; Peter Sminia; Martin J van den Bent
Journal:  Lancet Oncol       Date:  2008-05       Impact factor: 41.316

6.  Magnetic resonance spectroscopic imaging in the era of pseudoprogression and pseudoresponse in glioblastoma patient management.

Authors:  Hyunsuk Shim; Chad A Holder; Jeffrey J Olson
Journal:  CNS Oncol       Date:  2013-09

7.  Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

Authors:  Daniel A Hamstra; Craig J Galbán; Charles R Meyer; Timothy D Johnson; Pia C Sundgren; Christina Tsien; Theodore S Lawrence; Larry Junck; David J Ross; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Clin Oncol       Date:  2008-06-09       Impact factor: 44.544

8.  Role of proton magnetic resonance spectroscopy in differentiating oligodendrogliomas from astrocytomas.

Authors:  Sanjeev Chawla; Laura Oleaga; Sumei Wang; Jaroslaw Krejza; Ronald L Wolf; John H Woo; Donald M O'Rourke; Kevin D Judy; Michael S Grady; Elias R Melhem; Harish Poptani
Journal:  J Neuroimaging       Date:  2010-01       Impact factor: 2.486

9.  Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [18F]FDG: version 1.0.

Authors:  Ian Law; Nathalie L Albert; Javier Arbizu; Ronald Boellaard; Alexander Drzezga; Norbert Galldiks; Christian la Fougère; Karl-Josef Langen; Egesta Lopci; Val Lowe; Jonathan McConathy; Harald H Quick; Bernhard Sattler; David M Schuster; Jörg-Christian Tonn; Michael Weller
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-12-05       Impact factor: 9.236

10.  Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk).

Authors:  Saima Rathore; Suyash Mohan; Spyridon Bakas; Chiharu Sako; Chaitra Badve; Sarthak Pati; Ashish Singh; Dimitrios Bounias; Phuc Ngo; Hamed Akbari; Aimilia Gastounioti; Mark Bergman; Michel Bilello; Russell T Shinohara; Paul Yushkevich; Donald M O'Rourke; Andrew E Sloan; Despina Kontos; MacLean P Nasrallah; Jill S Barnholtz-Sloan; Christos Davatzikos
Journal:  Neurooncol Adv       Date:  2021-01-23
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  2 in total

1.  Editorial: Structural, Metabolic, and Physiologic MR Imaging to Study Glioblastomas.

Authors:  Manoj Kumar; Ravi Prakash Reddy Nanga; Sanjeev Chawla
Journal:  Front Neurol       Date:  2022-03-30       Impact factor: 4.003

Review 2.  Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma.

Authors:  Danlei Qin; Guoqiang Yang; Hui Jing; Yan Tan; Bin Zhao; Hui Zhang
Journal:  Cancers (Basel)       Date:  2022-08-03       Impact factor: 6.575

  2 in total

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