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Аннотация
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Purpose
Previously we demonstrated the feasibility of quantifying perfusion parameters in human breast tumours using a deconvolution analysis of dynamic contrast-enhanced (DCE) MRI. Now we investigate the added value of these parameters in tumour characterisation.
Materials and methods
The routine MR mammography protocol was first applied, which included whole breast DCE MRI (0.1 mmol /kg Gd-DTPA 10 s /dynamic) sequence. The slice in which the lesion enhanced maximally was located in the subtracted DCE MR images. A second bolus of 0.1 mmol /kg Gd-DTPA was injected and a dynamic single slice Turboflash acquisition (600 dynamics with a temporal resolution of 0.3 s) was performed at that slice position. The signals were first converted to tracer concentrations, which was then deconvolved pixel-by-pixel, with an arterial input function in the aorta. Finally, the parametric maps of tumour blood flow (TBF), tumour extracellular volume (TEV) and mean transit time (MTT) were generated. Perfusion values were compared with literature values.
Results
In the initial data of four malignant and two benign tumours, the parametric maps clearly differentiated tumours from the surrounding breast tissue. Mean TBF in the malignant tumours (38.4 ml /100 g per min) was consistent with the literature values. TBF and TEV values were higher and MTT values were lower in the malignant tumours compared to the benign ones.
Conclusion
Preliminary results suggest that a pixel-by-pixel deconvolution analysis of the DCE MRI data of breast tumours provides regional perfusion parameters, which can be a valuable tool in the tumour characterisation.
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