Literature DB >> 27999986

Post-treatment changes of tumour perfusion parameters can help to predict survival in patients with high-grade astrocytoma.

Roberto Sanz-Requena1,2, Antonio J Revert-Ventura3, Gracián García-Martí4,5,6, Fares Salamé-Gamarra3, Alexandre Pérez-Girbés5, Enrique Mollá-Olmos7, Luis Martí-Bonmatí4,5.   

Abstract

OBJECTIVES: Vascular characteristics of tumour and peritumoral volumes of high-grade gliomas change with treatment. This work evaluates the variations of T2*-weighted perfusion parameters as overall survival (OS) predictors.
METHODS: Forty-five patients with histologically confirmed high-grade astrocytoma (8 grade III and 37 grade IV) were included. All patients underwent pre- and post-treatment T2*-weighted contrast-enhanced magnetic resonance (MR) imaging. Tumour, peritumoral and control volumes were segmented. Relative variations of cerebral blood flow (CBF), cerebral blood volume (CBV), mean transit time (MTT), Ktrans-T2*, kep-T2*, ve-T2* and vp-T2* were calculated. Differences regarding tumour grade and surgical resection extension were evaluated with ANOVA tests. For each parameter, two groups were defined by non-supervised clusterisation. Survival analysis were performed on these groups.
RESULTS: For the tumour region, the 90th percentile increase or stagnation of CBV was associated with shorter survival, while a decrease related to longer survival (393 ± 189 vs 594 ± 294 days; log-rank p = 0.019; Cox hazard-ratio, 2.31; 95% confidence interval [CI], 1.12-4.74). Ktrans-T2* showed similar results (414 ± 177 vs 553 ± 312 days; log-rank p = 0.037; hazard-ratio, 2.19; 95% CI, 1.03-4.65). The peritumoral area values showed no relationship with OS.
CONCLUSIONS: Post-treatment variations of the highest CBV and Ktrans-T2* values in the tumour volume are predictive factors of OS in patients with high-grade gliomas. KEY POINTS: • Vascular characteristics of high-grade glioma tumour and peritumoral regions change with treatment. • Quantitative assessment of MRI perfusion provides valuable information regarding tumour aggressiveness. • Quantitative T2*-weighted perfusion parameters can help to predict overall survival. • Post-treatment variations of CBV and K trans-T2 values are predictive factors of OS. • Increased values may justify treatment intensification in these patients.

Entities:  

Keywords:  Brain; Neoplasms; Perfusion-weighted MRI; Quantitative evaluation; Survival

Mesh:

Year:  2016        PMID: 27999986     DOI: 10.1007/s00330-016-4699-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  37 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.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

3.  Association of dynamic susceptibility contrast enhanced MR Perfusion parameters with prognosis in elderly patients with glioblastomas.

Authors:  Pejman Jabehdar Maralani; Elias R Melhem; Sumei Wang; Edward H Herskovits; Matthew R Voluck; Sang Joon Kim; Kim O Learned; Donald M O'Rourke; Suyash Mohan
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

Review 4.  Tumor angiogenesis: therapeutic implications.

Authors:  J Folkman
Journal:  N Engl J Med       Date:  1971-11-18       Impact factor: 91.245

5.  Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity.

Authors:  Janine M Lupo; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

6.  Quantitative MR perfusion parameters related to survival time in high-grade gliomas.

Authors:  Roberto Sanz-Requena; Antonio Revert-Ventura; Luis Martí-Bonmatí; Angel Alberich-Bayarri; Gracián García-Martí
Journal:  Eur Radiol       Date:  2013-07-10       Impact factor: 5.315

7.  Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas.

Authors:  R G Henry; D B Vigneron; N J Fischbein; P E Grant; M R Day; S M Noworolski; J M Star-Lack; L L Wald; W P Dillon; S M Chang; S J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2000-02       Impact factor: 3.825

8.  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

9.  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

10.  Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.

Authors:  M Law; R Young; J Babb; E Pollack; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

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  2 in total

1.  Prediction value of unmeasurable MR enhancement at early stage after gross-total resection on the survival state of patients with high-grade glioma.

Authors:  Guanmin Quan; Yongli Zheng; Jun Chen; Bei Hua; Xiaoli Ji; Kexin Zhang; Duo Gao; Jianming Lei; Tao Yuan
Journal:  J Neurooncol       Date:  2018-09-04       Impact factor: 4.130

Review 2.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part B: Molecular Correlates, Treatment Effect Monitoring, Prognosis, and Future Directions.

Authors:  Vittorio Stumpo; Lelio Guida; Jacopo Bellomo; Christiaan Hendrik Bas Van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-05       Impact factor: 6.639

  2 in total

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