Literature DB >> 29767308

Differentiating pseudoprogression from true progression: analysis of radiographic, biologic, and clinical clues in GBM.

Lindsay S Rowe1, John A Butman2, Megan Mackey3, Joanna H Shih4, Theresa Cooley-Zgela3, Holly Ning3, Mark R Gilbert5, DeeDee K Smart3, Kevin Camphausen3, Andra V Krauze3.   

Abstract

INTRODUCTION: Pseudoprogression (PsP) is a diagnostic dilemma in glioblastoma (GBM) after chemoradiotherapy (CRT). Magnetic resonance imaging (MRI) features may fail to distinguish PsP from early true progression (eTP), however clinical findings may aid in their distinction.
METHODS: Sixty-seven patients received CRT for GBM between 2003 and 2016, and had pre- and post-treatment imaging suitable for retrospective evaluation using RANO criteria. Patients with signs of progression within the first 12-weeks post-radiation (P-12) were selected. Lesions that improved or stabilized were defined as PsP, and lesions that progressed were defined as eTP.
RESULTS: The median follow up for all patients was 17.6 months. Signs of progression developed in 35/67 (52.2%) patients within P-12. Of these, 20/35 (57.1%) were subsequently defined as eTP and 15/35 (42.9%) as PsP. MRI demonstrated increased contrast enhancement in 84.2% of eTP and 100% of PsP, and elevated CBV in 73.7% for eTP and 93.3% for PsP. A decrease in FLAIR was not seen in eTP patients, but was seen in 26.7% PsP patients. Patients with eTP were significantly more likely to require increased steroid doses or suffer clinical decline than PsP patients (OR 4.89, 95% CI 1.003-19.27; p = 0.046). KPS declined in 25% with eTP and none of the PsP patients.
CONCLUSIONS: MRI imaging did not differentiate eTP from PsP, however, KPS decline or need for increased steroids was significantly more common in eTP versus PsP. Investigation and standardization of clinical assessments in response criteria may help address the diagnostic dilemma of pseudoprogression after frontline treatment for GBM.

Entities:  

Keywords:  Glioblastoma; Karnofsky performance status; Pseudoprogression; Radiation therapy; Response assessment in neuro-oncology

Mesh:

Substances:

Year:  2018        PMID: 29767308     DOI: 10.1007/s11060-018-2855-z

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


  31 in total

1.  Early post-treatment pseudo-progression amongst glioblastoma multiforme patients treated with radiotherapy and temozolomide: a retrospective analysis.

Authors:  Ashray Gunjur; Eddie Lau; Yamna Taouk; Gail Ryan
Journal:  J Med Imaging Radiat Oncol       Date:  2011-12       Impact factor: 1.735

2.  IDH mutation and MGMT promoter methylation are associated with the pseudoprogression and improved prognosis of glioblastoma multiforme patients who have undergone concurrent and adjuvant temozolomide-based chemoradiotherapy.

Authors:  Hailong Li; Jiye Li; Gang Cheng; Jianning Zhang; Xuezhen Li
Journal:  Clin Neurol Neurosurg       Date:  2016-10-12       Impact factor: 1.876

Review 3.  Pseudoprogression: relevance with respect to treatment of high-grade gliomas.

Authors:  James Fink; Donald Born; Marc C Chamberlain
Journal:  Curr Treat Options Oncol       Date:  2011-09

4.  Pseudoprogression in patients with malignant gliomas treated with concurrent temozolomide and radiotherapy: potential role of p53.

Authors:  Hyun-Cheol Kang; Chae-Yong Kim; Jung Ho Han; Ghee Young Choe; Jae Hyoung Kim; Jee Hyun Kim; In Ah Kim
Journal:  J Neurooncol       Date:  2010-07-15       Impact factor: 4.130

5.  Proliferation Index Predicts Survival after Second Craniotomy within 6 Months of Adjuvant Radiotherapy for High-grade Glioma.

Authors:  C Gzell; H Wheeler; D Huang; P Gaur; J Chen; M Kastelan; M Back
Journal:  Clin Oncol (R Coll Radiol)       Date:  2015-09-14       Impact factor: 4.126

Review 6.  Imaging Criteria in Neuro-oncology.

Authors:  Martha Nowosielski; Patrick Y Wen
Journal:  Semin Neurol       Date:  2018-03-16       Impact factor: 3.420

7.  Pseudoprogression of glioblastoma after chemo- and radiation therapy: diagnosis by using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging with ferumoxytol versus gadoteridol and correlation with survival.

Authors:  Seymur Gahramanov; Leslie L Muldoon; Csanad G Varallyay; Xin Li; Dale F Kraemer; Rongwei Fu; Bronwyn E Hamilton; William D Rooney; Edward A Neuwelt
Journal:  Radiology       Date:  2012-11-30       Impact factor: 11.105

8.  Different diagnostic values of imaging parameters to predict pseudoprogression in glioblastoma subgroups stratified by MGMT promoter methylation.

Authors:  Ra Gyoung Yoon; Ho Sung Kim; Wooyul Paik; Woo Hyun Shim; Sang Joon Kim; Jeong Hoon Kim
Journal:  Eur Radiol       Date:  2016-04-05       Impact factor: 5.315

9.  Pseudoprogression as an adverse event of glioblastoma therapy.

Authors:  Carmen Balaña; Jaume Capellades; Estela Pineda; Anna Estival; Josep Puig; Sira Domenech; Eugenia Verger; Teresa Pujol; Maria Martinez-García; Laura Oleaga; JoseMaria Velarde; Carlos Mesia; Rafael Fuentes; Jordi Marruecos; Sonia Del Barco; Salvador Villà; Cristina Carrato; Oscar Gallego; Miguel Gil-Gil; Jordi Craven-Bartle; Francesc Alameda
Journal:  Cancer Med       Date:  2017-11-03       Impact factor: 4.452

Review 10.  Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials.

Authors:  Benjamin M Ellingson; Patrick Y Wen; Timothy F Cloughesy
Journal:  Neurotherapeutics       Date:  2017-04       Impact factor: 7.620

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  10 in total

1.  RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.

Authors:  Jacob T Antunes; Marwa Ismail; Imran Hossain; Zhoumengdi Wang; Prateek Prasanna; Anant Madabhushi; Pallavi Tiwari; Satish E Viswanath
Journal:  IEEE J Biomed Health Inform       Date:  2022-06-03       Impact factor: 7.021

2.  Clinical Outcomes in Patients with Recurrent Glioblastoma Treated with Proton Beam Therapy Reirradiation: Analysis of the Multi-Institutional Proton Collaborative Group Registry.

Authors:  Ali M Saeed; Rahul Khairnar; Ankur M Sharma; Gary L Larson; Henry K Tsai; Chiachien J Wang; Lia M Halasz; Prakash Chinnaiyan; Carlos E Vargas; Mark V Mishra
Journal:  Adv Radiat Oncol       Date:  2020-04-22

Review 3.  Current emerging MRI tools for radionecrosis and pseudoprogression diagnosis.

Authors:  Lucia Nichelli; Stefano Casagranda
Journal:  Curr Opin Oncol       Date:  2021-11-01       Impact factor: 3.915

Review 4.  Physiological Imaging Methods for Evaluating Response to Immunotherapies in Glioblastomas.

Authors:  Sanjeev Chawla; Vanessa Shehu; Pradeep K Gupta; Kavindra Nath; Harish Poptani
Journal:  Int J Mol Sci       Date:  2021-04-08       Impact factor: 5.923

5.  Dynamic Susceptibility Perfusion Imaging for Differentiating Progressive Disease from Pseudoprogression in Diffuse Glioma Molecular Subtypes.

Authors:  Vivien Richter; Uwe Klose; Benjamin Bender; Katharina Rabehl; Marco Skardelly; Jens Schittenhelm; Ghazaleh Tabatabai; Johann-Martin Hempel; Ulrike Ernemann; Cornelia Brendle
Journal:  J Clin Med       Date:  2021-02-05       Impact factor: 4.241

Review 6.  Pseudoprogression in Glioblastoma: Role of Metabolic and Functional MRI-Systematic Review.

Authors:  Ingrid Sidibe; Fatima Tensaouti; Margaux Roques; Elizabeth Cohen-Jonathan-Moyal; Anne Laprie
Journal:  Biomedicines       Date:  2022-01-26

7.  Determining the optimum tumor control probability model in radiotherapy of glioblastoma multiforme using magnetic resonance imaging data pre- and post- radiation therapy.

Authors:  Shabnam Banisharif; Daryoush Shahbazi-Gahrouei; Ali Akhavan; Naser Rasouli; Saghar Shahbazi-Gahrouei
Journal:  J Res Med Sci       Date:  2022-02-18       Impact factor: 1.852

Review 8.  DEGRO practical guideline for central nervous system radiation necrosis part 1: classification and a multistep approach for diagnosis.

Authors:  Denise Bernhardt; Laila König; Anca Grosu; Benedikt Wiestler; Stefan Rieken; Wolfgang Wick; Jens Gempt; Sandro M Krieg; Friederike Schmidt-Graf; Felix Sahm; Bernhard Meyer; Bernd J Krause; Cordula Petersen; Rainer Fietkau; Michael Thomas; Frank Giordano; Andrea Wittig-Sauerwein; Jürgen Debus; Ghazaleh Tabatabai; Peter Hau; Joachim Steinbach; Stephanie E Combs
Journal:  Strahlenther Onkol       Date:  2022-08-29       Impact factor: 4.033

9.  18F-Fluciclovine PET to distinguish treatment-related effects from disease progression in recurrent glioblastoma: PET fusion with MRI guides neurosurgical sampling.

Authors:  Fraser Henderson; Steven Brem; Donald M O'Rourke; MacLean Nasrallah; Vivek P Buch; Anthony J Young; Robert K Doot; Austin Pantel; Arati Desai; Stephen J Bagley; S Ali Nabavizadeh
Journal:  Neurooncol Pract       Date:  2019-12-08

Review 10.  Machine learning and glioma imaging biomarkers.

Authors:  T C Booth; M Williams; A Luis; J Cardoso; K Ashkan; H Shuaib
Journal:  Clin Radiol       Date:  2019-07-29       Impact factor: 2.350

  10 in total

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