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Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features

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 tumor...

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Detalles Bibliográficos
Autores principales: Mao, Yipu, Jiang, Muliang, Zhao, Fanyu, Long, Liling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894066/
https://www.ncbi.nlm.nih.gov/pubmed/35251152
http://dx.doi.org/10.1155/2022/4981620
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author Mao, Yipu
Jiang, Muliang
Zhao, Fanyu
Long, Liling
author_facet Mao, Yipu
Jiang, Muliang
Zhao, Fanyu
Long, Liling
author_sort Mao, Yipu
collection PubMed
description 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.
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spelling pubmed-88940662022-03-04 Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features Mao, Yipu Jiang, Muliang Zhao, Fanyu Long, Liling Comput Intell Neurosci Research Article 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. Hindawi 2022-02-24 /pmc/articles/PMC8894066/ /pubmed/35251152 http://dx.doi.org/10.1155/2022/4981620 Text en Copyright © 2022 Yipu Mao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mao, Yipu
Jiang, Muliang
Zhao, Fanyu
Long, Liling
Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title_full Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title_fullStr Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title_full_unstemmed Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title_short Intelligent Diagnosis and Analysis of Brain Lymphoma Based on DSC Imaging Features
title_sort intelligent diagnosis and analysis of brain lymphoma based on dsc imaging features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894066/
https://www.ncbi.nlm.nih.gov/pubmed/35251152
http://dx.doi.org/10.1155/2022/4981620
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