Post-treatment changes of tumour perfusion parameters can help to predict survival in patients with high-grade astrocytoma
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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.
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.
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.
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.
• 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.
KeywordsBrain Neoplasms Perfusion-weighted MRI Survival Quantitative evaluation
Arterial input function
Cerebral blood flow
Cerebral blood volume
Mean transit time
The scientific guarantor of this publication is Dr. Luis Marti-Bonmati.
The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
This study has received funding by the Sociedad Española de Radiología (Becas SERAM Industria 2013). No complex statistical methods were necessary for this paper.
Institutional Review Board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: retrospective, diagnostic or prognostic study, multicentre study.
- 20.Johnson G, Wetzel SG, Cha S, Babb J, Tofts PS (2004) Measuring blood volume and vascular transfer constant from dynamic, T2*-weighted contrast-enhanced MRI. J Magn Reson Imaging 51:961–968Google Scholar
- 37.Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF (2005) MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 25:2466–2474Google Scholar