1. Intelligent diagnosis and analysis of brain lymphoma based on imaging features
- Author
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Fanyu Zhao, Liling Long, Yipu Mao, and Muliang Jiang
- Subjects
Statistics and Probability ,Pathology ,medicine.medical_specialty ,business.industry ,General Engineering ,medicine.disease ,030218 nuclear medicine & medical imaging ,Lymphoma ,03 medical and health sciences ,0302 clinical medicine ,Artificial Intelligence ,030220 oncology & carcinogenesis ,Medicine ,business - 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 IVIM-MRI 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.
- Published
- 2021