The creation of “synthetic images” will improve the diagnosis and treatment of malignant brain tumors, in a new contribution of artificial intelligence to combat this disease, reveals a study released this Wednesday by the University of Valladolid.
The result obtained by the researchers Elisa Moya and Rafael Navarro is similar to the images obtained through magnetic resonance machines, reports the University of Valladolid.
The study, financed by the Spanish Association Against Cancer (AECC) and the Ministry of Science and Innovation, has been published in the scientific journal NMR in Biomedicine and its conclusions will be announced this Wednesday, International Brain Tumor Day.
The synthetic images generated by the two researchers could be used, along with those created in an MRI, in the diagnosis and treatment prediction of glioblastoma, the most common type of malignant brain tumor.
Glioblastoma is one of the most aggressive brain tumors, with a survival rate of approximately 40% in the first year after diagnosis and 17% in the second.
“The synthetic images are generated by an artificial intelligence system that has been trained from a large number of real images obtained in magnetic resonance machines,” explains Elisa Moya, quoted in the press release from the University of Valladolid.
The next step is the use of mathematical measurements to compare the synthetic images with the real ones, which can also be used in the Radiomics technique, which is responsible for extracting quantitative characteristics from the images, thus obtaining a predictive tool for this type of cancer. obtained in the brain, he added.
“This method can facilitate better planning of treatment or surgery”, highlights the researcher.
The generation of these images will reduce the duration of magnetic resonance images, replace those of degraded quality “and also generate databases that help diagnose the disease,” he continued.
“During this type of exam, the patient must remain completely still, which for some people with claustrophobia or children is quite uncomfortable,” he said.
This new technique provides greater comfort and also reduces costs, since only two MRI images would be needed, “since the rest can be generated synthetically, which would reduce the time on that machine,” he added.
Source: TSF
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