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Modern techniques of magnetic resonance in the evaluation of primary central nervous system lymphoma: contributions to the diagnosis and differential diagnosis

Overview of attention for article published in Hematology Transfusion and Cell Therapy, December 2015
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Title
Modern techniques of magnetic resonance in the evaluation of primary central nervous system lymphoma: contributions to the diagnosis and differential diagnosis
Published in
Hematology Transfusion and Cell Therapy, December 2015
DOI 10.1016/j.bjhh.2015.12.001
Pubmed ID
Authors

Antonio José da Rocha, Bruno Vasconcelos Sobreira Guedes, Talita Maira da Silveira da Bueno Rocha, Antonio Carlos Martins Maia, Carlos Sérgio Chiattone

Abstract

In addition to findings from conventional magnetic resonance imaging, modern magnetic resonance imaging techniques have provided important information about tumor metabolism, in vivo metabolite formation, water molecule diffusion, microvascular density, and blood-brain barrier permeability, all of which have improved the in vivo diagnostic accuracy of this method in the evaluation of primary central nervous system lymphoma. These nonconventional magnetic resonance techniques are useful in the clinical practice because they enhance conventional magnetic resonance imaging by reinforcing the possibility of a diagnosis and by allowing the early detection of disease recurrence. This report is a review of the most relevant contributions of nonconventional magnetic resonance techniques to the imaging diagnosis of primary central nervous system lymphoma, the differential diagnosis of this disease, and the prognosis of patients. This paper aims to describe a wide range of presentations of primary central nervous system lymphoma, their appearance in imaging, and the differential diagnoses of this disease.

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 20%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Researcher 3 10%
Student > Postgraduate 2 7%
Other 4 13%
Unknown 9 30%
Readers by discipline Count As %
Medicine and Dentistry 18 60%
Mathematics 1 3%
Neuroscience 1 3%
Nursing and Health Professions 1 3%
Unknown 9 30%