Imaging Contribution in Headache and Cerebral Venous Thrombosis (CVT)

Article ID

FP3YJ

Imaging Contribution in Headache and Cerebral Venous Thrombosis (CVT)

Cherif Mohamadou Aidara
Cherif Mohamadou Aidara
Simon Joël Manga
Simon Joël Manga
Léra Géraud Akpo
Léra Géraud Akpo
Nfally Badji
Nfally Badji
Sokhna Astou Gawane Thiam
Sokhna Astou Gawane Thiam
Ndeye Bigue Mar
Ndeye Bigue Mar
Aissata Sall
Aissata Sall
Hamidou Deme
Hamidou Deme
Abdoulaye Dione Diop
Abdoulaye Dione Diop
Abdoulaye Ndoye Diop
Abdoulaye Ndoye Diop
Sokhna Ba Diop
Sokhna Ba Diop
Elhadj Niang
Elhadj Niang
DOI

Abstract

Headache is the most frequent and the mean onset symptom in cerebral venous thrombosis (CVT). Recognizing CVT to start treatment early enough is a challenge for both the clinician and the radiologist. They must find the right balance between not to expose the patient to the unnecessary risks of anticoagulants and not to miss a condition that could be fatal. CVT has a wide variety of clinical manifestations that often causes of a delay in diagnosis. Neuroimaging techniques have significantly improved to explore the brain parenchyma and its vascular structures. High-field MRI is the current gold standard because of its high tissue resolution and its multiform contrast without equality. But its limits lie on the accessibility and availability, especially in our developing countries. CT is more accessible and available. Its fast running and current performance because of multidetector technology make it the first-line examination and the only one in many cases of neuroradiology emergency. These techniques present sometimes some trap pictures that must be recognized not to carry the diagnosis by excess or to miss it. We aim in this article to review the semiology of headaches in CVT, some risk factors, CT semiology, and some CT trap pictures.

Imaging Contribution in Headache and Cerebral Venous Thrombosis (CVT)

Headache is the most frequent and the mean onset symptom in cerebral venous thrombosis (CVT). Recognizing CVT to start treatment early enough is a challenge for both the clinician and the radiologist. They must find the right balance between not to expose the patient to the unnecessary risks of anticoagulants and not to miss a condition that could be fatal. CVT has a wide variety of clinical manifestations that often causes of a delay in diagnosis. Neuroimaging techniques have significantly improved to explore the brain parenchyma and its vascular structures. High-field MRI is the current gold standard because of its high tissue resolution and its multiform contrast without equality. But its limits lie on the accessibility and availability, especially in our developing countries. CT is more accessible and available. Its fast running and current performance because of multidetector technology make it the first-line examination and the only one in many cases of neuroradiology emergency. These techniques present sometimes some trap pictures that must be recognized not to carry the diagnosis by excess or to miss it. We aim in this article to review the semiology of headaches in CVT, some risk factors, CT semiology, and some CT trap pictures.

Cherif Mohamadou Aidara
Cherif Mohamadou Aidara
Simon Joël Manga
Simon Joël Manga
Léra Géraud Akpo
Léra Géraud Akpo
Nfally Badji
Nfally Badji
Sokhna Astou Gawane Thiam
Sokhna Astou Gawane Thiam
Ndeye Bigue Mar
Ndeye Bigue Mar
Aissata Sall
Aissata Sall
Hamidou Deme
Hamidou Deme
Abdoulaye Dione Diop
Abdoulaye Dione Diop
Abdoulaye Ndoye Diop
Abdoulaye Ndoye Diop
Sokhna Ba Diop
Sokhna Ba Diop
Elhadj Niang
Elhadj Niang

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cherif_mohamadou_aidara. 2021. “. Global Journal of Medical Research – D: Radiology, Diagnostic GJMR-D Volume 20 (GJMR Volume 20 Issue D2): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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Imaging Contribution in Headache and Cerebral Venous Thrombosis (CVT)

Cherif Mohamadou Aidara
Cherif Mohamadou Aidara
Simon Joël Manga
Simon Joël Manga
Léra Géraud Akpo
Léra Géraud Akpo
Nfally Badji
Nfally Badji
Sokhna Astou Gawane Thiam
Sokhna Astou Gawane Thiam
Ndeye Bigue Mar
Ndeye Bigue Mar
Aissata Sall
Aissata Sall
Hamidou Deme
Hamidou Deme
Abdoulaye Dione Diop
Abdoulaye Dione Diop
Abdoulaye Ndoye Diop
Abdoulaye Ndoye Diop
Sokhna Ba Diop
Sokhna Ba Diop
Elhadj Niang
Elhadj Niang

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