Three New Studies Detail Effects of Zika Virus on Brain
By Andrew Deutsch Posted on 29 Nov 2016 |

Image: A side view of a fetus with hands and clubfeet, enlarged cerebral fluid space, cerebral ventricles dilation, less brain tissue, absence of brain cortical gyri, and a poorly developed cerebellum (Photo courtesy of RSNA).
The results of three new studies into the effects of the Zika virus disease in Brazil revealed multiple types of congenital brain damage.
The research was presented at the annual Radiological Society of North America (RSNA2016) meeting in Chicago, USA. One of the studies investigated Computed Tomography (CT) findings of the Central Nervous System (CNS) of 16 newborn babies that suffered from a congenital Zika virus infection. The CT brain findings showed decreased brain volume, calcifications, ventricular dilatation, simplified gyral pattern, and prominent occipital bone.
In the second study researchers analyzed scans of adults, and newborn babies with various neurological disorders, and of pregnant women with rashes indicative of a Zika infection. There were common Magnetic Resonance Imaging (MRI) findings that included enhancement of certain spinal and facial nerves. In addition, the researchers found orbital injuries and changes in the anatomy of brain tissue in the MRI scans of the newborn babies.
A third study consisted of ultrasound, and fetal MRI scans in pregnant women suffering from a Zika infection. After the babies were born, ultrasound, CT and MRI scans revealed that more than half of them had lost brain tissue volume, or suffered from microcephaly, brain calcifications and other structural changes. The researchers used 3-D virtual and physical skull models for their research.
Author of the first study, Natacha Calheiros de Lima Petribu, MD, Department of Radiology, Barão de Lucena Hospital (Recife, Brazil), said, "We live in Pernambuco, a state in northeastern Brazil, which had the highest number of patients with microcephaly during the Zika outbreak in our country. Our study proves that Zika virus infection can cause congenital brain damage in babies with and without microcephaly."
Related Links:
Barão de Lucena Hospital
The research was presented at the annual Radiological Society of North America (RSNA2016) meeting in Chicago, USA. One of the studies investigated Computed Tomography (CT) findings of the Central Nervous System (CNS) of 16 newborn babies that suffered from a congenital Zika virus infection. The CT brain findings showed decreased brain volume, calcifications, ventricular dilatation, simplified gyral pattern, and prominent occipital bone.
In the second study researchers analyzed scans of adults, and newborn babies with various neurological disorders, and of pregnant women with rashes indicative of a Zika infection. There were common Magnetic Resonance Imaging (MRI) findings that included enhancement of certain spinal and facial nerves. In addition, the researchers found orbital injuries and changes in the anatomy of brain tissue in the MRI scans of the newborn babies.
A third study consisted of ultrasound, and fetal MRI scans in pregnant women suffering from a Zika infection. After the babies were born, ultrasound, CT and MRI scans revealed that more than half of them had lost brain tissue volume, or suffered from microcephaly, brain calcifications and other structural changes. The researchers used 3-D virtual and physical skull models for their research.
Author of the first study, Natacha Calheiros de Lima Petribu, MD, Department of Radiology, Barão de Lucena Hospital (Recife, Brazil), said, "We live in Pernambuco, a state in northeastern Brazil, which had the highest number of patients with microcephaly during the Zika outbreak in our country. Our study proves that Zika virus infection can cause congenital brain damage in babies with and without microcephaly."
Related Links:
Barão de Lucena Hospital
Latest Radiography News
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
Channels
MRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more