Emerging evidence suggests that progression of hematologic malignancies is associated with angiogenesis. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can provide global and functional imaging of tumor angiogenesis. In this study, we performed bone marrow DCE-MRI prospectively at diagnosis and after induction chemotherapy in 78 de novo acute myeloid leukemia (AML) patients and correlated it with treatment outcome. An algorithm to assess bone marrow angiogenesis by measuring the DCE-MRI time-intensity curve pixel by pixel was developed using 3 distinct parameters: peak enhancement ratio (Peak) to indicate tissue blood perfusion; amplitude (Amp) to reflect vascularity; and volume transfer constant (K trans) to indicate vascular permeability. The Peak and Amp decreased significantly at remission status after induction chemotherapy. Patients with higher Peak or Amp at diagnosis had shorter overall survival and disease-free survival than others. Cox multivariate analysis identified higher Peak value (hazard ratio, 9.181; 95% confidence interval, 1.740-48.437; P = .009) as an independent predictor for overall survival in addition to unfavorable karyotype and old age. Our findings provide evidence that increased bone marrow angiogenesis measured by DCE-MRI can predict adverse clinical outcome in AML patients. DCE-MRI may help to select high-risk phenotype AML patients for tailored antiangiogenic therapy and to monitor treatment response.
1 January 2014 in World Journal of Gastroenterology
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) enables tumor vascular physiology to be assessed. Within the tumor tissue, contrast agents (gadolinium chelates) extravasate from intravascular into the extravascular extracellular space (EES), which results in a signal increase on T1-weighted MRI. The rate of contrast agents extravasation to EES in the tumor tissue is determined by vessel leakiness and blood flow. Thus, the signal measured on DCE-MRI represents a combination of permeability and perfusion. The semi-quantitative analysis is based on the calculation of heuristic parameters that can be extracted from signal intensity-time curves. These enhancing curves can also be deconvoluted by mathematical modeling to extract quantitative parameters that may reflect tumor perfusion, vascular volume, vessel permeability and angiogenesis. Because hepatocellular carcinoma (HCC) is a hypervascular tumor, many emerging therapies focused on the inhibition of angiogenesis. DCE-MRI combined with a pharmacokinetic model allows us to produce highly reproducible and reliable parametric maps of quantitative parameters in HCC. Successful therapies change quantitative parameters of DCE-MRI, which may be used as early indicators of tumor response to anti-angiogenesis agents that modulate tumor vasculature. In the setting of clinical trials, DCE-MRI may provide relevant clinical information on the pharmacodynamic and biologic effects of novel drugs, monitor treatment response and predict survival outcome in HCC patients.