ObjectiveTo explore the differences in the detection of vigabatrin-associated brain abnormalities on MRI by different MRI sequences, so as to further guide the clinical understanding of VABAM and improve the appropriate imaging sequences. MethodsA total of 353 patients with infantile spasm or epileptic spasm who were admitted to the Epilepsy Center of Yuquan Hospital of Tsinghua University from January 2020 to January 2023 were retrospectively included. MRI was performed in 131 cases, including 3D T1, T2, T1- fluid-attenuated inversion recovery sequence (FLAIR) images, DWI and ADC sequences, of which 65 cases taking VGB. We aim to evaluate the detection of vigabatrin-associated brain abnormalities on MRI by different MRI sequences in these children. Results Among the 65 patients, VABAM was detected in 23 cases, the detection rate was 35.4%. The average dosage of vigabatrin was 100.73±35.54 mg/(kg·d). The positive detection rates of VABAM were 95.7% in DWI sequence, 26.1% in ADC sequence, 21.3% in FLAIR sequence, 4.3% in T2 sequence and 0 in T1 sequence. The detection rate of ADC sequence was significantly different from DWI sequence and T1 sequence, but not from T2 sequence and FLAIR group. ConclusionDWI sequence has irreplaceable advantages in the detection rate of VABAM. Therefore, for patients with infantile spasm and epileptic spasm who take vigabatrin, we should try our best to add DWI sequence scanning to improve the positive detection rate and avoid clinical symptoms, so as to avoid further brain damage.
ObjectiveTo discuss the scientific research and application value of the new China Association Against Epilepsy (CAAE) EEG reporting system, and to explore the model of establishing EEG database of tertiary comprehensive epilepsy center. MethodsA retrospective study was performed on outpatients who underwent EEG examination at the Epilepsy Center of Tsinghua University Yuquan Hospital from May 2021 to May 2022, and who also received EEG reports using the CAAE new EEG reporting system. We integrated the data of these 6380 patients with the previous database of our Epilepsy Center, and combined the two for the preliminary big data analysis. Results Among 6380 patients, normal EEG was reported in 2253 cases (35.3%) ,abnormal EEG in 4031 cases (63.2%), no definite abnormality in 96 cases. According to age groups, there were 3290 cases in children (51.0%), 1372 cases in adults (22.0%), 753 cases in adolescents (12.0%), 730 cases in infants (11.0%) and 235 cases in infants (4.0%).A total of 1466 (23.0%) patients were recorded with paroxysmal events, including 874 (60.0%) epileptic events. 517 (35.0%) non-epileptic events. ConclusionThe new EEG reporting system can provide a large number of researchable EEG data to guide clinical work, and it is an important tool for data sharing and big data research in the future.