【Abstract】ObjectiveTo discuss the possibility and clinical significance of SSX-1 mRNA used as specific marker for examining HCC cells in peripheral blood of HCC patients. MethodsUsing the RT-PCR method, the SSX1 mRNA of the peripheral blood was examined in 25 cases of HCC patients and 20 non-HCC patients. The same method was used to detect the expression of SSX-1 mRNA in the tumor tissues, para-tumor tissues, cirrhosis tissues and normal hepatic tissues. A randomized sample was extracted for DNA sequencing from positive electrophoresis expression samples of SSX-1 to examine the reliability of results. ResultsThe expression rates of SSX-1 mRNA were 60%(15/25) and 40%（10/25） respectively in tumor tissues of HCC and the corresponding peripheral blood. SSX-1 mRNA were not expressed in para-tumor tissues,cirrhosis tissues and normal hepatic tissues. The DNA sequence -confirmed that the RTPCR products were true target cDNA. No relationships were found between the expression of SSX-1 gene and clinical characteristics, such as age, sex, tumor size, TNM stage， extent of differentiation and serum AFP level (Pgt;0.05). However, in 33%（3/9） patients with normal serum AFP (lt;20 μg/L), specific expression of SSX1 mRNA was observed. ConclusionHigh specific expression of SSX-1 mRNA is observed in the peripheral blood of patients with HCC, it suggests that applying it as a tumor marker to detect HCC cells in peripheral blood is an adjuvant diagnostic tool. The expression of SSX-1 mRNA in the peripheral blood is observed in the group HCC patients whose serum AFP (lt;20 μg/L) are normal, which suggests that applying both SSX-1 mRNA and AFP as tumor markers together might be useful to improve the diagnostic accuracy for HCC.
ObjectiveTo explore the clinical and video EEG features of patients with post-stroke epilepsy (PSE).MethodsThe clinical data of 68 patients with epilepsy after cerebral infarction and 33 patients with epilepsy after cerebral hemorrhage were analyzed retrospectively from January 2015 to June 2018 in the Affilated Hospital of Jining Medical University. There were 5 cases of early-onset epilepsy, and the rest were late-onset epilepsy. There were 68 cases of cerebral infarction (1 case showed post-infarction hemorrhagic transformation), 33 cases of cerebral hemorrhage; 51 females, 50 males (f∶m = 1.02∶1); the onset age was 45 ~ 101 years, with an average of (68.10 ± 10.26) years.ResultsThe time from seizure to stroke in 101 cases was (28.92 ± 35.61) months, 60 cases (59.40%) ≤ 1 year, 26 cases (25.74%) 1 ~ 5 years, and 15 cases (14.85%) 5 ~ 10 years. Post-stroke epilepsy had no relation to gender (P>0.05). The age of onset is mostly in 60 to 75 years old (62.38%). Seizure often happen within 1 year after stroke (59.4%). The type of attack is focal seizure (77.23%). Cortical infarction (77.94%), cerebral artery stenosis (83.82%), hypertension, diabetes, and atrial fibrillation are risk factors for epilepsy after infarction. The abnormal rate of EEG for PSE is 90.1%, which was manifested as slow wave in the lesion side, epileptic wave in the lesion side or contralateral side.ConclusionsThe location, duration, age and severity of cerebral artery stenosis in patients with PSE are closely related to the occurrence of seizure. VEEG plays an important role in the diagnosis, treatment and prognosis of epilepsy.
Steady-state visual evoked potential (SSVEP) is one of the commonly used control signals in brain-computer interface (BCI) systems. The SSVEP-based BCI has the advantages of high information transmission rate and short training time, which has become an important branch of BCI research field. In this review paper, the main progress on frequency recognition algorithm for SSVEP in past five years are summarized from three aspects, i.e., unsupervised learning algorithms, supervised learning algorithms and deep learning algorithms. Finally, some frontier topics and potential directions are explored.
ObjectiveTo explore the effect of early graded respiratory severe rehabilitation training for patients with mechanical ventilation under a multidisciplinary model.MethodsTwo hundred and thirty-six patients were surveyed, who were hospitalized in the intensive care unit of the First Affiliated Hospital of Anhui Medical University from June 3, 2019 to March 31, 2020. They were randomly divided into an observation group and a control group, with 118 patients in each group. The observation group received rehabilitation training using early graded rehabilitation training under the mode of multidisciplinary cooperation, while the control group received routine respiratory rehabilitation training. Diaphragmatic excursion (DE) and diaphragmatic thickening fraction (DTF) of the patients before ventilator weaning were measured by ultrasound. The differences of DE, DTF, peak expiratory flow (PEF), maximal inspiratory pressure (MIP), success rate of withdrawal, duration of mechanical ventilation and intensive care unit (ICU) stay between the two groups were recorded and compared.ResultsAll evaluation indexes were statistically significant between the observation group and the control group (all P<0.05). There were interaction between oxygenation index, PEF, MIP, Acute Physiology and Chronic Health Score, Clinical Pulmonary Infection Score and recovery time.ConclusionRehabilitation training on early graded severe respiratory diseases under a multidisciplinary model can improve the respiratory function of patients on mechanical ventilation and shorten the duration of mechanical ventilation and ICU stay.