Showing posts with label MRI / PET / Ultrasound. Show all posts
Showing posts with label MRI / PET / Ultrasound. Show all posts

Sunday, March 22, 2015

'Groundbreaking' malaria discovery holds hope for new treatments

Malaria was responsible for approximately 584,000 deaths in 2013, the majority of which were among children in Africa. Now, researchers from Michigan State University claim to have made a groundbreaking discovery about cerebral malaria, a deadly form of the disease: it is brain swelling that causes children to die from it - a finding that may pave the way for new treatments.


A mosquito
Malaria is caused by Plasmodium parasites transmitted by a bite from infected Anopheles mosquitoes.

Malaria is caused by Plasmodium parasites transmitted by a bite from infected Anopheles mosquitoes. Though a curable disease if treated quickly and correctly, it remains responsible for hundreds of thousands of deaths each year.
In Africa - where more than 90% of malaria deaths occur - a child dies from the disease every minute. It is estimated that in 2013, 437,000 African children died from the disease before they reached their fifth birthday.
Cerebral malaria is one of the most common causes of death from the disease. It occurs when blood cells containing the Plasmodium parasite block blood vessels to the brain. This can cause brain inflammation and brain damage.
Scientists have seen much success in finding treatments that can kill the Plasmodium parasite, tackling malaria at its root. In December 2014, for example, Medical News Today reported on a study published in the Proceedings of the National Academy of Sciences, in which researchers identified an antimalaria compound that destroyed all traces of the parasite in mice within 48 hours.
The Michigan State researchers - led by Dr. Terrie Taylor - say progress in finding ways to treat the effects of malaria, however, has moved at a much slower pace. But with the help of magnetic resonance imaging (MRI), Dr. Taylor and her team believe they may be closer to identifying such treatments.

Death in cerebral malaria 'caused by brain stem compression'

Dr. Taylor spends 6 months a year at the Queen Elizabeth Hospital in Malawi, treating and studying children with malaria. In 2008, the hospital received an MRI scanner - a tool that, though common in developed countries, is very rare in Africa.
The research team used MRI to analyze the brain images of hundreds of children with cerebral malaria, some of whom had survived the disease and some of whom had died from it.
The results of the analysis, which are published in The New England Journal of Medicine, revealed that children who had survived the disease never experienced brain swelling, while the majority of those who died experienced severe brain inflammation. "This was a triumphant moment," says Dr. Taylor. "I wanted to say to the parasite 'Ha! You never thought we'd get an MRI, did you?'"
In detail, the researchers found that the brain of some children with cerebral malaria becomes so inflamed that the organ is pushed out through the bottom of the skull, compressing the brain stem. This can cause a child to stop breathing, leading to their death.
Commenting on the team's discovery, Dr. Taylor says:
"Because we know now that the brain swelling is what causes death, we can work to find new treatments.
The next step is to identify what's causing the swelling and then develop treatments targeting those causes. It's also possible that using ventilators to keep the children breathing until the swelling subsides might save lives, but ventilators are few and far between in Africa at the moment."
Last month, Medical News Today reported on a study published in the International Journal of Systematic and Evolutionary Microbiology, in which researchers claim genetically modifying a newly discovered strain of bacteria in mosquitoes could prevent malaria transmission.
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Wednesday, May 29, 2013

Improving The Analysis Of Medical Images To Facilitate The Study Of Psychotic Disorders

A team of researchers from the UPNA/NUP-Public University of Navarre has developed new superresolution and segmentation methods for magnetic resonance images so that they can be applied to the structural study of psychosis. The aim is to be able to identify the differences that are produced in specific parts of the brain in psychotic patients with respect to their healthy relatives or other people.

The project, run in coordination with doctors in the Psychiatry and Radiology Service of the Complejo Hospitalario of Navarre, is based on the study of medical images obtained by means of magnetic resonance and has already begun to yield results: "We have seen that in individuals who have suffered a first psychotic episode, the area of the brain of the subcortical ganglia displays certain differences in size with respect to that in healthy individuals," explained the researcher Beatriz del Cerro.To a certain extent this contradicts what the psychiatric scientific literature used to say. So we argued that antipsychotic pharmacological treatment might be a determining factor in these discrepancies, since our patients were evaluated during the first weeks of treatment using medication while the studies in the literature provided data on patients who had been on treatment for a long time."

Today, the delimitation of certain structures of the brain or areas of interest in magnetic resonance imaging is often done manually. From the medical point of view, the promoters of the project consider that it would be desirable to have automatic methods that would increase the quality of the images and calculate the desired sizes in the image analysis.

Comparing psychotic patients with their siblings

In parallel with this project, the researchers attached to the Psychiatry and Radiology service of the Complejo Hospitalario of Navarre are doing a study entitled "Motor alterations in patients with recent psychosis onset and their healthy siblings and controls in Navarre" (Alteracionesmotoras en paciente con psicosis de inicioreciente y sus hermanossanos y controles en Navarra). This research focuses on the clinical aspects of the patients who will have the above-mentioned new methods of superresolution and segmentation inmagnetic resonance imaging applied to them.

The sample in the study comprises people who have had a first psychotic episode, people related to them and a third group without any kinship with the former but who do coincide in parameters like sex, age and educational attainment.They all underwent cerebral magnetic resonance imaging.

Once the magnetic resonance images reach the UPNA, the researchers have two main tasks ahead of them.Firstly, they use mathematical superresolution techniques to reconstruct and enhance the quality of the images acquired by the medical equipment.Secondly, they segment each image by applying artificial intelligence techniques; in other words, they divide it into various parts (groups of pixels with common features) in order to simplify it or to swap its representation for another one that is easier to analyse."To do this, we used commercial software that already exists but we have improved the algorithms and adapted them to our purposes," explained AranzazuJurio.The idea is that although there are various methods of segmentation, the one that best adapts to each type of image has to be determined and then modifications have to be made to adjust it properly to each specific case."In this phase they also have the expertise provided by the doctors.

To validate and determine the quality of this segmentation they have compared the results with other more used segmentation methods and with the manual segmentation done by the doctors."We have been able to see that our new method, based on grouping functions, obtains the best results in all the images in the experiment," they pointed out.

The clinical trial is the third main activity in the project and is handled by the medical team.With the results obtained from the images they will be studying the cerebral size differences in the areas of interest (frontal lobes, the hippocampus and the amygdala as well as the subcortical nuclei) and will be determining the existence or otherwise of significant structural differences among the three groups of people being examined.
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