Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation.

Autor:	Khalifa, J., Tensaouti, F., Chaltiel, L., Lotterie, J.-A., Catalaa, I., Sunyach, M., Ibarrola, D., Noël, G., Truc, G., Walker, P., Magné, N., Charissoux, M., Ken, S., Peran, P., Berry, I., Moyal, E., Laprie, A., Sunyach, M P, Moyal, E Cohen-Jonathan
Předmět:	CEREBRAL circulation CONTRAST-enhanced magnetic resonance imaging MAGNETIC resonance imaging GLIOBLASTOMA multiforme GLIOMAS BRAIN tumor treatment GLIOMA treatment BLOOD volume BRAIN tumors CANCER relapse CLINICAL trials COMPARATIVE studies LONGITUDINAL method RESEARCH methodology MEDICAL cooperation RESEARCH STATISTICAL sampling EVALUATION research RANDOMIZED controlled trials CONTRAST media RECEIVER operating characteristic curves DISEASE progression
Zdroj:	European Radiology; Nov2016, Vol. 26 Issue 11, p4194-4203, 10p
Abstrakt:	Objective: To identify relevant relative cerebral blood volume biomarkers from T2* dynamic-susceptibility contrast magnetic resonance imaging to anticipate glioblastoma progression after chemoradiation.Methods: Twenty-five patients from a prospective study with glioblastoma, primarily treated by chemoradiation, were included. According to the last follow-up MRI confirmed status, patients were divided into: relapse group (n = 13) and control group (n = 12). The time of last MR acquisition was tend; MR acquisitions performed at tend-2M, tend-4M and tend-6M (respectively 2, 4 and 6 months before tend) were analyzed to extract relevant variations among eleven perfusion biomarkers (B). These variations were assessed through R(B), as the absolute value of the ratio between ∆B from tend-4M to tend-2M and ∆B from tend-6M to tend-4M. The optimal cut-off for R(B) was determined using receiver-operating-characteristic curve analysis.Results: The fraction of hypoperfused tumor volume (F_hPg) was a relevant biomarker. A ratio R(F_hPg) ≥ 0.61 would have been able to anticipate relapse at the next follow-up with a sensitivity/specificity/accuracy of 92.3 %/63.6 %/79.2 %. High R(F_hPg) (≥0.61) was associated with more relapse at tend compared to low R(F_hPg) (75 % vs 12.5 %, p = 0.008).Conclusion: Iterative analysis of F_hPg from consecutive examinations could provide surrogate markers to predict progression at the next follow-up.Key Points: • Related rCBV biomarkers from DSC were assessed to anticipate GBM progression. • Biomarkers were assessed through their patterns of variation during the follow-up. • The fraction of hypoperfused tumour volume (F_hP g ) seemed to be a relevant biomarker. • An innovative ratio R(F_hP g ) could be an early surrogate marker of relapse. • A significant time gain could be achieved in the management of GBM patients. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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