New technology significantly improves the detection rate of non-surgical epilepsy in children

New technology significantly improves the detection rate of non-surgical epilepsy in children

July 27, 2018 Source: Science and Technology Daily

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The reporter recently learned from Zhejiang University that the clinical research team of the school has established an effective evaluation of non-surgical drug treatment by establishing a brain metabolic database of children with epilepsy positron emission tomography (PET), combined with nuclear magnetic resonance, EEG and multi-year clinical follow-up. Imaging methods for the severity of epilepsy in children have found new ways to search for hidden epilepsy lesions.

According to reports, epilepsy is a common neurological disease, most of which starts in children. Accurate diagnosis is crucial for the development of reasonable treatment plans and effective disease assessment. However, there has been no effective objective indicator for the evaluation of epilepsy in school-age children. 40%-60% of cases have no lesions before surgery. . Traditional detection methods such as X-ray, CT, and nuclear magnetic resonance may not be able to see early lesions with only abnormal cellular metabolism.

The national “Thousand Talents Program” selected by the Tianmei team of Zhejiang University Medical PET Center through positron emission tomography, using molecular imaging technology to overcome this difficulty, the detection rate of children's non-surgical epilepsy from 15% to 39% Increased to 79%.

In addition, the team also found the location of the lesion in combination with nuclear magnetic or CT imaging, through the establishment of a database, the use of artificial intelligence for comparison, precision surgery. "Our team built a new PET-MRI fusion diagnostic method based on PET molecular imaging to achieve the clinical effect of eradicating epilepsy." Tian Mei said.

This method of significantly improving the preoperative lesion discovery rate in patients with refractory epilepsy is actually PET "navigation." Through the comparison of the patient PET image and the big data, the abnormal part is reflected on the structural image of the nuclear magnetic imaging, the volume of the lesion is determined, and the surgeon is used to cut the position through the 3D image. (操秀英)

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