Radiology Studies Provide Insight on Zika Effects
By Daniel Beris Posted on 09 Dec 2016 |

Image: A 3D virtual model ultrasound view of fetus at 12 weeks (photo courtesy of Heron Werner/CDPI).
Three now studies use computerized tomography (CT), ultrasound, and magnetic resonance imaging (MRI) to assess the impacts of Zika virus.
The first study examines CT findings of the central nervous system (CNS) in 16 newborn babies with congenital Zika virus infection confirmed by tests in cerebral spinal fluid (CSF). The researchers, from Barão de Lucena Hospital (Recife, Brazil), identified a recognizable pattern of decreased brain volume, simplified gyral pattern, calcifications, ventricular dilatation, and prominent occipital bone in the CT images.
The second study, by researchers at Federal Fluminense University (Niterói, Brazil) analyzed the imaging results of three target groups affected by Zika: adults who developed acute neurological syndrome, newborns with vertical infection with neurological disorders, and pregnant women with rash outbreaks suggestive of Zika. They found common MRI findings that included enhancement of certain spinal and facial nerves. In the newborns, MRI showed orbital injuries and anatomical changes in brain tissue.
The third study, conducted at Clínica de Diagnóstico por Imagem (CDPI; Rio de Janeiro, Brazil), used ultrasound and fetal MRI performed on pregnant patients with Zika virus at different gestational ages. Once the babies were born, they underwent ultrasound, CT and MRI. The researchers then created three-dimensional (3D) virtual and physical models of the skulls. They found that more than half the babies had microcephaly, brain calcifications, and loss of brain tissue volume, along with other structural changes. All studies were presented at the RSNA annual conference, held during November 2016 in Chicago (IL, USA).
“The emergence of Zika virus in the Americas has coincided with increased reports of babies born with microcephaly,” said study author Heron Werner Jr., MD, PhD, of the CDPI department of radiology. “An early diagnosis may help in treating these babies after birth. Moreover, the knowledge of abnormalities present in the central nervous system may give hints about the pathophysiology of the disease.”
Zika virus is a member of the Flaviviridae family, and is transmitted by the daytime-active Aedes mosquitoes; in humans, the virus causes a mild illness known as Zika fever. Zika outbreak was first reported in Brazil in May 2015, and since then local health authorities estimate that around a million suspected cases have occurred. Brazilian health authorities also observed a significant increase in the number of detected cases of microcephaly and Guillain-Barré Syndrome affecting fetuses and newborns.
Related Links:
Barão de Lucena Hospital
Federal Fluminense University
Clínica de Diagnóstico por Imagem
The first study examines CT findings of the central nervous system (CNS) in 16 newborn babies with congenital Zika virus infection confirmed by tests in cerebral spinal fluid (CSF). The researchers, from Barão de Lucena Hospital (Recife, Brazil), identified a recognizable pattern of decreased brain volume, simplified gyral pattern, calcifications, ventricular dilatation, and prominent occipital bone in the CT images.
The second study, by researchers at Federal Fluminense University (Niterói, Brazil) analyzed the imaging results of three target groups affected by Zika: adults who developed acute neurological syndrome, newborns with vertical infection with neurological disorders, and pregnant women with rash outbreaks suggestive of Zika. They found common MRI findings that included enhancement of certain spinal and facial nerves. In the newborns, MRI showed orbital injuries and anatomical changes in brain tissue.
The third study, conducted at Clínica de Diagnóstico por Imagem (CDPI; Rio de Janeiro, Brazil), used ultrasound and fetal MRI performed on pregnant patients with Zika virus at different gestational ages. Once the babies were born, they underwent ultrasound, CT and MRI. The researchers then created three-dimensional (3D) virtual and physical models of the skulls. They found that more than half the babies had microcephaly, brain calcifications, and loss of brain tissue volume, along with other structural changes. All studies were presented at the RSNA annual conference, held during November 2016 in Chicago (IL, USA).
“The emergence of Zika virus in the Americas has coincided with increased reports of babies born with microcephaly,” said study author Heron Werner Jr., MD, PhD, of the CDPI department of radiology. “An early diagnosis may help in treating these babies after birth. Moreover, the knowledge of abnormalities present in the central nervous system may give hints about the pathophysiology of the disease.”
Zika virus is a member of the Flaviviridae family, and is transmitted by the daytime-active Aedes mosquitoes; in humans, the virus causes a mild illness known as Zika fever. Zika outbreak was first reported in Brazil in May 2015, and since then local health authorities estimate that around a million suspected cases have occurred. Brazilian health authorities also observed a significant increase in the number of detected cases of microcephaly and Guillain-Barré Syndrome affecting fetuses and newborns.
Related Links:
Barão de Lucena Hospital
Federal Fluminense University
Clínica de Diagnóstico por Imagem
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