Literature DB >> 24007727

Correlation between cerebral blood volume measurements by perfusion-weighted magnetic resonance imaging and two-year progression-free survival in gliomas.

M V Spampinato1, C Schiarelli, A Cianfoni, P Giglio, C T Welsh, S Bisdas, Z Rumboldt.   

Abstract

Our goal was to determine whether relative cerebral blood volume (rCBV) can serve as an adjunct to histopathologic grading in the assessment of gliomas, with the hypothesis that rCBV can predict two-year survival. We evaluated 29 newly diagnosed gliomas (13 WHO grade II, seven grade III, nine grade IV; 17 astrocytomas, 12 oligodendroglial tumors). Dynamic susceptibility-weighted contrast-enhanced perfusion MR images and CBV maps were obtained. rCBVmax measurements (maximum tumor CBV/contralateral normal tissue CBV) and progression-free survival (PFS) were recorded. Receiver operating characteristic curves and Kaplan-Meier survival curves were calculated for rCBVmax and histologic grade. rCBVmax measurements differed between gliomas without (2.38 +/- 1.22) and with progression (5.57 +/- 2.84) over two years. The optimal rCBVmax cut-off value to predict progression was 2.95. rCBVmax < 2.95 was a significant predictor of two-year PFS, almost as accurate as WHO grade II. In the pure astrocytoma subgroup, the optimal rCBVmax cut-off value to predict progression was 2.85. In this group rCBVmax < 2.85 was a significant predictor of two-year PFS, an even better predictor of two-year PFS than WHO grade II. rCBVmax can be used to predict two-year PFS in patients with gliomas, independent of pathologic findings, especially in tumors without oligodendroglial components.

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Year:  2013        PMID: 24007727      PMCID: PMC4202819          DOI: 10.1177/197140091302600404

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  33 in total

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2.  MR cerebral blood volume maps correlated with vascular endothelial growth factor expression and tumor grade in nonenhancing gliomas.

Authors:  Antonio C M Maia; Suzana M F Malheiros; Antonio J da Rocha; Carlos J da Silva; Alberto A Gabbai; Fernando A P Ferraz; João N Stávale
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3.  Variations in the natural history and survival of patients with supratentorial low-grade astrocytomas.

Authors:  J Piepmeier; S Christopher; D Spencer; T Byrne; J Kim; J P Knisel; J Lacy; L Tsukerman; R Makuch
Journal:  Neurosurgery       Date:  1996-05       Impact factor: 4.654

4.  Glioblastoma multiforme-report of 267 cases treated at a single institution.

Authors:  Andreas M Stark; Arya Nabavi; Hubertus Maximilian Mehdorn; Ulrike Blömer
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5.  Prognostic value of perfusion-weighted imaging in brain glioma: a prospective study.

Authors:  C Chaskis; T Stadnik; A Michotte; K Van Rompaey; J D'Haens
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6.  Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.

Authors:  Roger Stupp; Warren P Mason; Martin J van den Bent; Michael Weller; Barbara Fisher; Martin J B Taphoorn; Karl Belanger; Alba A Brandes; Christine Marosi; Ulrich Bogdahn; Jürgen Curschmann; Robert C Janzer; Samuel K Ludwin; Thierry Gorlia; Anouk Allgeier; Denis Lacombe; J Gregory Cairncross; Elizabeth Eisenhauer; René O Mirimanoff
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

7.  Resection, biopsy, and survival in malignant glial neoplasms. A retrospective study of clinical parameters, therapy, and outcome.

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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
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9.  Grading of astrocytomas. A simple and reproducible method.

Authors:  C Daumas-Duport; B Scheithauer; J O'Fallon; P Kelly
Journal:  Cancer       Date:  1988-11-15       Impact factor: 6.860

Review 10.  Advances in imaging low-grade gliomas.

Authors:  Stephen J Price
Journal:  Adv Tech Stand Neurosurg       Date:  2010
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  11 in total

1.  Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.

Authors:  G Çoban; S Mohan; F Kural; S Wang; D M O'Rourke; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-02       Impact factor: 3.825

2.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

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Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

3.  Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.

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Journal:  Neuro Oncol       Date:  2016-06-13       Impact factor: 12.300

4.  Preoperative relative cerebral blood volume analysis in gliomas predicts survival and mitigates risk of biopsy sampling error.

Authors:  Brendan J McCullough; Valerie Ader; Brian Aguedan; Xu Feng; Daniel Susanto; Tara L Benkers; John W Henson; Marc Mayberg; Charles S Cobbs; Ryder P Gwinn; Stephen J Monteith; David W Newell; Johnny Delashaw; Sarah J Fouke; Steven Rostad; Bart P Keogh
Journal:  J Neurooncol       Date:  2017-11-02       Impact factor: 4.130

Review 5.  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

6.  Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma.

Authors:  Vaios Hatzoglou; Jung Hun Oh; Olivia Buck; Xuling Lin; Michelle Lee; Amita Shukla-Dave; Robert J Young; Kyung K Peck; Behroze Vachha; Andrei I Holodny; Christian Grommes
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Review 7.  The Role of Advanced Brain Tumor Imaging in the Care of Patients with Central Nervous System Malignancies.

Authors:  K Ina Ly; Elizabeth R Gerstner
Journal:  Curr Treat Options Oncol       Date:  2018-06-21

8.  Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients.

Authors:  Agne Ulyte; Vasileios K Katsaros; Evangelia Liouta; Georgios Stranjalis; Christos Boskos; Nickolas Papanikolaou; Jurgita Usinskiene; Sotirios Bisdas
Journal:  Neuroradiology       Date:  2016-10-29       Impact factor: 2.804

9.  Clinical Validation of Automatable Gaussian Normalized CBV in Brain Tumor Analysis: Superior Reproducibility and Slightly Better Association with Survival than Current Standard Manual Normal Appearing White Matter Normalization.

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Journal:  Transl Oncol       Date:  2018-09-11       Impact factor: 4.243

10.  Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI.

Authors:  K Ina Ly; Bella Vakulenko-Lagun; Kyrre E Emblem; Yangming Ou; Xiao Da; Rebecca A Betensky; Jayashree Kalpathy-Cramer; Dan G Duda; Rakesh K Jain; Andrew S Chi; Scott R Plotkin; Tracy T Batchelor; Gregory Sorensen; Bruce R Rosen; Elizabeth R Gerstner
Journal:  Sci Rep       Date:  2018-11-20       Impact factor: 4.379

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