RESEARCH ARTICLE


Traditional and Advanced Neuroimaging Contributions to the Diagnosis and Differential Diagnosis of Central Nervous System Lymphoma Patients Visiting a Comprehensive Medical Center



Ali El Dirani1, Zahraa Hachem2, 3, Assaad Mohanna3, Amira J. Zaylaa3, 4, 5, *
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1 Department of Hematology Oncology, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
2 Department of Neurology, Centre Hospitalier de Calais, 1601 Boulevard des Justes, 62100 Calais, France
3 Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
4 Faculty of Public Health-I, Lebanese University, Beirut, Lebanon
5 Department of Electrical and Computer Engineering, Beirut Arab University, Lebanon


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Creative Commons License
© 2020 El Dirani etal.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Neuroscience Research Center, Faculty of, Medical Sciences and the Faculty of Public Health at the Lebanese University, Lebanon; E-mail: amira.zaylaa@ul.edu.lb


Abstract

Introduction:

The diagnosis of Central Nervous System Lymphoma, especially the Primary Central Nervous System Lymphoma is carried out based on brain imaging, thus avoiding an unnecessary extend of surgery. But the traditional imaging techniques, such as Computed Tomography and Magnetic Resonance Imaging, were not satisfactory.

Aims:

This study was conducted to characterize the spectrum of advanced Neuroimaging, such as the advanced Magnetic Resonance Imaging features in the Central Nervous System Lymphoma patients in a comprehensive medical center in Lebanon, and compare them to what has been described in the literature review.

Methods:

It is a retrospective exploratory study of the clinical data and imaging features for patients admitted to the emergency and radiology departments with ages above 10 years, and who were diagnosed histopathologically with intracranial lymphoma. This study may be the first to make a Radiological evaluation of Central Nervous System Lymphoma on the local population of patients over 9 years .

Results:

Results showed that the study of the Computed Tomography and Magnetic Resonance Imaging data of 10 immunocompetent patients with Central Nervous System Lymphoma concurs with the previously described patient populations, except for the gender parameter. Tumors were mostly presented in the fifth or Sixth decade and they could be solitary or multi-focal. Lesions were typically located Preprint submitted to The Open Neuroimaging Journal May 14, 2020 in the supratentorial compartment. On the brain Computed Tomography, the lesions were hyperdense, and in pre-contrast Magnetic Resonance images, the lesions appeared hypointense on T1 and hyperintense on T2-Weighted images, but hypointense with respect to the grey matter. The lesions were also surrounded with a mild to moderate edema as compared to other intracranial neoplasms, such as glioblastomas. Evaluation results showed that on post-contrast Magnetic Resonance images, the majority of lesions exhibited a homogeneous enhancement of 50%. Majority of the lesions also showed a less common heterogeneous ring-like enhancement of 40%, and revealed the uncommon absence of enhancement of 10%. Calcifications, hemorrhage, and necrosis were rare findings and were present in only one patient.

Conclusion:

As a future prospect, studying whether the advanced imaging techniques may provide not only non-invasive and morphological characteristics but also non-invasive biological characteristics and thus accurate diagnosis could be considered.

Keywords: Magnetic resonance imaging, Computed tomography, Advanced neuroimaging, Central nervous system lymphoma, Imaging parameters, Immunocompetence, Statistical evaluation.