Abstract
Currently, DSC has been extensively studied in the diagnosis, differential diagnosis, and prognosis evaluation of brain lymphoma, but it has not obtained a uniform standard. By combining DSC imaging features, this study investigated the imaging features and diagnostic value of several types of tumors such as primary brain lymphoma. At the same time, this study obtained data from brain lymphoma patients by data collection and set up different groups to conduct experimental studies to explore the correlation between IVIMMRI perfusion parameters and DSC perfusion parameters in brain lymphoma. Through experimental research, it can be seen that the combination of two perfusion imaging techniques can more fully reflect the blood flow properties of the lesion, which is beneficial to determine the nature of the lesion.
Highlights
Ere are reports that with the continuous development of cancer treatment technology, compared with the past, the survival rate of PCNSL patients, especially younger patients, has been significantly improved [2]
In the MRI routine examination, the researchers observed that PCNSL generally occurs on the screen, and it mainly appears in the white matter of the brain and the side of the lateral ventricles, such as the thalamus, corpus callosum, and basal ganglia
Kulker et al reported that in immunocompetent PCNSL patients, single-shot lesions accounted for 65%, lesions in the cerebral hemisphere accounted for 38%, thalamic/basal ganglia lesions accounted for 16%, and corpus callosum lesions accounted for 14%, and around the ventricles, the lesions in the area accounted for 12%, the lesions in the cerebellum were about 9%, and it rarely involved the dura mater
Summary
E region of interest is determined by the artificial method (the region of interest is consistent with the region of interest in the time-signal intensity curve) and placed in the lesion area of the CBF, CBV, MTT, TTP parameter map, the periphery of the lesion, and the blood supply area of the responsible vessel. On the perfusion imaging images (DSC, DCE) corresponding to the maximum level within the enhancement range of the conventional axial T1WI-weighted enhancement display, the corresponding regions of interest are separately outlined (the regions of interest, ROI), the relationship of all regions of interest is changed over time, and the average area of the fixed ROI is 10 mm. DSC uses Siemens Perfusion postprocessing software to obtain relevant parameter values including rCBV, rCBF (lesion area/contralateral normal brain tissue), and functional pseudo-color map corresponding to each parameter in the corresponding ROI [17]
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