Literature DB >> 28984142

Visual inspection of MR relative cerebral blood volume maps has limited value for distinguishing progression from pseudoprogression in glioblastoma multiforme patients.

Melissa Kerkhof1, Pauline L Tans1, Rogier E Hagenbeek2, Geert J Lycklama À Nijeholt2, Finn K Holla1, Tjeerd J Postma3, Chiara S Straathof4, Linda Dirven4, Martin Jb Taphoorn1,4, Maaike J Vos1.   

Abstract

AIM: We examined whether visual interpretation of relative cerebral blood volume (rCBV) color maps made with dynamic susceptibility-weighted perfusion MRI can reliably distinguish progressive disease (PD) from pseudoprogression (PsPD) in glioblastoma patients during treatment with temozolomide chemoradiation. MATERIALS &
METHODS: Magnetic resonance (MR) perfusion-weighted images were evaluated based on visual inspection of rCBV maps. Sensitivity and specificity were calculated to assess if rCBV can reliably differentiate between PD and PsPD, during standard chemoradiation therapy.
RESULTS: Evaluation of dynamic susceptibility-weighted contrast-enhanced perfusion MRI by visual interpretation of rCBV maps did not differentiate PD from PsPD (sensitivity = 72%; specificity = 23%). Furthermore, the interpretation of the rCBV maps had no prognostic value regarding survival.
CONCLUSION: Qualitative rCBV-based dynamic susceptibility-weighted contrast-enhanced perfusion MRI does not reliably differentiate PD from PsPD, and is not prognostic for survival in glioblastoma multiforme patients during treatment with temozolomide chemoradiation.

Entities:  

Keywords:  DSC perfusion MRI; glioblastoma; pseudoprogression

Mesh:

Year:  2017        PMID: 28984142      PMCID: PMC6004889          DOI: 10.2217/cns-2017-0013

Source DB:  PubMed          Journal:  CNS Oncol        ISSN: 2045-0907


  33 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.  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

3.  Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging--prediction of patient clinical response.

Authors:  Meng Law; Sarah Oh; James S Babb; Edwin Wang; Matilde Inglese; David Zagzag; Edmond A Knopp; Glyn Johnson
Journal:  Radiology       Date:  2006-01-05       Impact factor: 11.105

4.  Relative cerebral blood volume values to differentiate high-grade glioma recurrence from posttreatment radiation effect: direct correlation between image-guided tissue histopathology and localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging measurements.

Authors:  L S Hu; L C Baxter; K A Smith; B G Feuerstein; J P Karis; J M Eschbacher; S W Coons; P Nakaji; R F Yeh; J Debbins; J E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2008-12-04       Impact factor: 3.825

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

Authors:  Christina Tsien; 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
Journal:  J Clin Oncol       Date:  2010-04-05       Impact factor: 44.544

6.  Correlation between dynamic MRI and outcome in patients with malignant gliomas.

Authors:  E T Wong; E F Jackson; K R Hess; D F Schomer; J D Hazle; A P Kyritsis; K A Jaeckle; W K Yung; V A Levin; N E Leeds
Journal:  Neurology       Date:  1998-03       Impact factor: 9.910

7.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

Authors:  Joonmi Oh; Roland G Henry; Andrea Pirzkall; Ying Lu; Xiaojuan Li; Isabelle Catalaa; Susan Chang; William P Dillon; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2004-05       Impact factor: 4.813

8.  Correlation of MR imaging-determined cerebral blood volume maps with histologic and angiographic determination of vascularity of gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; T Hirai; T Okuda; Y Shigematsu; L Liang; Y Ge; Y Ushio; M Takahashi
Journal:  AJR Am J Roentgenol       Date:  1998-12       Impact factor: 3.959

9.  Glioma grading: sensitivity, specificity, positive and negative predictive values of diffusion and perfusion imaging.

Authors:  H R Arvinda; C Kesavadas; P S Sarma; B Thomas; V V Radhakrishnan; A K Gupta; T R Kapilamoorthy; S Nair
Journal:  J Neurooncol       Date:  2009-02-20       Impact factor: 4.130

10.  Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps.

Authors:  Kyrre E Emblem; Baard Nedregaard; Terje Nome; Paulina Due-Tonnessen; John K Hald; David Scheie; Olivera Casar Borota; Milada Cvancarova; Atle Bjornerud
Journal:  Radiology       Date:  2008-06       Impact factor: 11.105

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  1 in total

1.  Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis.

Authors:  Chris Taylor; Justyna O Ekert; Viktoria Sefcikova; Naomi Fersht; George Samandouras
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

  1 in total

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