Anomalía venosa del desarrollo cerebral trombosada: hallazgos en la resonancia magnética / Developmental cerebral thrombosed venous anomaly: findings in magnetic resonance imaging

Introducción: Las anomalías venosas del desarrollo son las malformaciones vasculares cerebrales más comunes, suelen ser incidentales y benignas, aunque alrededor del 40% se asocian a malformaciones cavernosas, por lo que es esencial buscar otras anomalías vasculares o neurocutáneas asociadas. Caso clínico: Se presenta una mujer de 34 años embarazada que acude por convulsiones y disartria, a la cual se le realiza una resonancia magnética de cráneo urgente. En ella se aprecia el clásico signo de la ‘cabeza de Medusa’, y se concluye como diagnóstico anomalía venosa del desarrollo con trombosis parcial periférica y flujo lento proximal. Conclusiones: La complicación con trombosis de las anomalías venosas del desarrollo es rara y los informes de casos de la bibliografía sugieren que deben manejarse de forma conservadora, como una trombosis del seno venoso, dejando la cirugía para otras complicaciones asociadas. Como radiólogos, debemos conocer las principales características por imagen para elaborar un diagnóstico certero.(AU)

Introduction: Developmental venous anomalies are the most common cerebral vascular malformations. They are usually incidental and benign, although about 40% are associated with cavernous malformations, and so it is essential to look for other associated vascular or neurocutaneous anomalies. Case report: We report the case of a 34-year-old pregnant woman who presented with seizures and dysarthria, and was submitted to an urgent cranial MRI scan. She showed the classic ‘Medusa head’ sign and was diagnosed with developmental venous anomaly with partial peripheral thrombosis and slow proximal flow. Conclusions: Thrombosis rarely occurs as a complication of developmental venous anomalies and case reports in the literature suggest that they should be managed conservatively, leaving surgery for other associated complications. As radiologists, we must be aware of the main imaging features so as to be able to make an accurate.(AU)

[Developmental cerebral thrombosed venous anomaly: findings in magnetic resonance imaging]. / Anomalía venosa del desarrollo cerebral trombosada: hallazgos en la resonancia magnética.

INTRODUCTION: Developmental venous anomalies are the most common cerebral vascular malformations. They are usually incidental and benign, although about 40% are associated with cavernous malformations, and so it is essential to look for other associated vascular or neurocutaneous anomalies. CASE REPORT: We report the case of a 34-year-old pregnant woman who presented with seizures and dysarthria, and was submitted to an urgent cranial MRI scan. She showed the classic 'Medusa head' sign and was diagnosed with developmental venous anomaly with partial peripheral thrombosis and slow proximal flow. CONCLUSIONS: Thrombosis rarely occurs as a complication of developmental venous anomalies and case reports in the literature suggest that they should be managed conservatively, leaving surgery for other associated complications. As radiologists, we must be aware of the main imaging features so as to be able to make an accurate diagnosis.

TITLE: Anomalía venosa del desarrollo cerebral trombosada: hallazgos en la resonancia magnética.Introducción. Las anomalías venosas del desarrollo son las malformaciones vasculares cerebrales más comunes, suelen ser incidentales y benignas, aunque alrededor del 40% se asocian a malformaciones cavernosas, por lo que es esencial buscar otras anomalías vasculares o neurocutáneas asociadas. Caso clínico. Se presenta una mujer de 34 años embarazada que acude por convulsiones y disartria, a la cual se le realiza una resonancia magnética de cráneo urgente. En ella se aprecia el clásico signo de la 'cabeza de Medusa', y se concluye como diagnóstico anomalía venosa del desarrollo con trombosis parcial periférica y flujo lento proximal. Conclusiones. La complicación con trombosis de las anomalías venosas del desarrollo es rara y los informes de casos de la bibliografía sugieren que deben manejarse de forma conservadora, como una trombosis del seno venoso, dejando la cirugía para otras complicaciones asociadas. Como radiólogos, debemos conocer las principales características por imagen para elaborar un diagnóstico certero.

Fístula traqueoesofágica por Candida galbrata: una patología infrecuente / Tracheoesophageal fistula due to candida galbrata: a rare pathology

La fístula traqueoesofágica consiste en una comunicación anómala entre el sistema respiratorio y el digestivo, que puede ser a causa de una enfermedad congénita, o bien secundaria a una patología tal como la infecciosa, la tumoral o postraumática. Entre las etiologías infecciosas, Candida o Aspergillus son dos hongos que provocan esofagitis fúngica, la cual podría complicarse con esta entidad, aunque son casos extremadamente raros. El diagnóstico de las fístulas se basa en la clínica, las pruebas de imagen como la TC y la endoscopia, donde se podrá apreciar la solución de continuidad. Este defecto debe ser tratado mediante cirugía o endoscópicamente

The tracheoesophageal fistula consists of an abnormal communication between the respiratory and digestive systems, which may be due to a congenital disease or secondary to a pathology such as infectious, tumorous or post-traumatic. Among the infectious etiologies, Candida or Aspergillus are two fungi that cause fungal esophagitis, which could be complicated by this entity, although they are extremely rare cases. The diagnosis of fistulas is based on the clinic, imaging tests such as CT and endoscopy, where the solution of continuity can be appreciated. This defect must be treated surgically or endoscopically, a technique that is currently on the rise due to its fewer complications

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images.

Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images. CT (Computed Tomography) scanners and RT-PCR testing are not available in most medical centers and hence in many cases CXR images become the most time/cost effective tool for assisting clinicians in making decisions. Deep learning neural networks have a great potential for building COVID-19 triage systems and detecting COVID-19 patients, especially patients with low severity. Unfortunately, current databases do not allow building such systems as they are highly heterogeneous and biased towards severe cases. This article is three-fold: (i) we demystify the high sensitivities achieved by most recent COVID-19 classification models, (ii) under a close collaboration with Hospital Universitario Clínico San Cecilio, Granada, Spain, we built COVIDGR-1.0, a homogeneous and balanced database that includes all levels of severity, from normal with Positive RT-PCR, Mild, Moderate to Severe. COVIDGR-1.0 contains 426 positive and 426 negative PA (PosteroAnterior) CXR views and (iii) we propose COVID Smart Data based Network (COVID-SDNet) methodology for improving the generalization capacity of COVID-classification models. Our approach reaches good and stable results with an accuracy of [Formula: see text], [Formula: see text], [Formula: see text] in severe, moderate and mild COVID-19 severity levels. Our approach could help in the early detection of COVID-19. COVIDGR-1.0 along with the severity level labels are available to the scientific community through this link https://dasci.es/es/transferencia/open-data/covidgr/.