Comparative efficacy of radical prostatectomy and radiotherapy in the treatment of high-risk prostate cancer.

BACKGROUND: Both radical prostatectomy and radiation therapy are effective in controlling the condition of patients with hormone-resistant prostate cancer (HRPCa). However, there is limited research on the prognosis and quality of life of HRPCa patients after different treatment modalities. OBJECTIVE: To explore the efficacy of radical prostatectomy (RP) and radiotherapy (RT), when treating high-risk prostate cancer (HRPCa). METHODS: Overall 103 HRPCa patients were included and were divided into RP group and RT group according to different treatment methods. The propensity score matching method (PSM) was used to balance the baseline data of the two groups and match 34 patients in each group. The prognosis, quality of life, and basic efficacy of patients were compared. RESULTS: After intervention, the disease-free survival rate of the RT group was higher than that of the RP group (79.41% vs. 55.88%, p= 0.038). Quality of life scores between the two treatment methods had no difference before intervention (p> 0.05), but higher in RT group than that of the RP group after intervention (p< 0.05). After treatment, there was no statistically significant difference in total effective rate of treatment between two groups (44.12% vs. 58.82%, p> 0.05), but the disease control rate was significantly higher in RT group (94.12% vs. 76.47%, p= 0.040). CONCLUSION: Radical radiotherapy is effective in the clinical treatment of HRPCa patients, with a higher disease-free survival rate and improved quality of life after treatment, and is worth promoting.

A three-branch 3D convolutional neural network for EEG-based different hand movement stages classification.

Motor Imagery is a classical method of Brain Computer Interaction, in which electroencephalogram (EEG) signal features evoked by the imaginary body movements are recognized, and relevant information is extracted. Recently, various deep learning methods are being focused on finding an easy-to-use EEG representation method that can preserve both temporal information as well as spatial information. To further utilize the spatial and temporal features of EEG signals, we proposed a 3D representation of EEG and an end-to-end EEG three-branch 3D convolutional neural network, to address the class imbalance problem (dataset show unequal distribution among their classes), we proposed a class balance cropped strategy. Experimental results indicated that there are also a problem of the different classification difficulty for different classes in motor stages classification tasks, we introduce focal loss to address problem of 'easy-hard' examples, when trained with the focal loss, the three-branch 3D-CNN network achieve good performance (relatively more balanced classification accuracy of binary classifications) on the WAY-EEG-GAL data set. Experimental results show that the proposed method is a good method, which can improve classification effect of different motor stages classification.

A Densely Connected Multi-Branch 3D Convolutional Neural Network for Motor Imagery EEG Decoding.

Motor imagery (MI) is a classical method of brain-computer interaction (BCI), in which electroencephalogram (EEG) signal features evoked by imaginary body movements are recognized, and relevant information is extracted. Recently, various deep-learning methods are being focused on in finding an easy-to-use EEG representation method that can preserve both temporal information and spatial information. To further utilize the spatial and temporal features of EEG signals, an improved 3D representation of the EEG and a densely connected multi-branch 3D convolutional neural network (dense M3D CNN) for MI classification are introduced in this paper. Specifically, as compared to the original 3D representation, a new padding method is proposed to pad the points without electrodes with the mean of all the EEG signals. Based on this new 3D presentation, a densely connected multi-branch 3D CNN with a novel dense connectivity is proposed for extracting the EEG signal features. Experiments were carried out on the WAY-EEG-GAL and BCI competition IV 2a datasets to verify the performance of this proposed method. The experimental results show that the proposed framework achieves a state-of-the-art performance that significantly outperforms the multi-branch 3D CNN framework, with a 6.208% improvement in the average accuracy for the BCI competition IV 2a datasets and 6.281% improvement in the average accuracy for the WAY-EEG-GAL datasets, with a smaller standard deviation. The results also prove the effectiveness and robustness of the method, along with validating its use in MI-classification tasks.

Single-stage combined anterior retropharyngeal and posterior approach for the resection and reconstruction of C2 metastatic tumors: A case report.

This study reports the case of a 44-year-old male who had experienced severe neck pain for one month and was diagnosed with a metastatic tumor of the left C2 vertebral body and the left transverse process. The tumor was distributed to layers A-D and sectors 3-7 according to the Weinstein-Boriani-Biagini classification, and was in Category IV according to the Harrington classification system. A conventional posterior cervical approach was used to resect the left transverse process and part of the tumor in a piecemeal fashion, and spinal instrumentation was also performed. Gelfoam and absorbable hemostatic gauze were placed ventrally to the left vertebral artery and the left C3 nerve root over the tumor bed to prevent their accidental injury in the subsequent anterior approach. A high anterior retropharyngeal approach was then used to resect the tumorous C2 vertebral body by corpectomy and to perform anterior reconstruction. Six months after the surgery, the patient remained pain free. Therefore, C2 metastatic tumor resection and spinal reconstruction can be fulfilled by a single-stage combined high anterior retropharyngeal and posterior approach.

Treatment of rabbit intervertebral disc degeneration with co-transfection by adeno-associated virus-mediated SOX9 and osteogenic protein-1 double genes in vivo.

Degeneration of the lumbar intervertebral disc is a common cause of low back pain and leg pain that affects the physical and mental health of the patient and increases the social burden. This study was performed to observe the biological effects of adeno-associated virus (AAV)-mediated osteogenic protein-1 (OP1) and SOX9 double gene co-transfection in rabbit intervertebral disc degeneration in vivo. The animals were randomly grouped into models of disc degeneration. After injecting 20 µl of double-gene mixed solution, OP1, SOX9, enhanced green fluorescent protein (EGFP) and PBS buffer into the disc of each group, X-ray analysis, magnetic resonance imaging (MRI), reverse transcription PCR (RT-PCR) and western blotting were performed on the 3rd, 6th and 9th week of surgery. On the 3rd, 6th and 9th week of the transfection, X-ray and MRI showed that the intervertebral height and T2-weighted signal intensity were restored significantly in groups A, B and C, whereas significant differences in intervertebral space and T2-weighted signal intensity were observed between group A and groups B and C (P<0.05). RT-PCR and western blotting showed that the expression of type II collagen and proteoglycan mRNA was upregulated in groups A, B and C. The expression in group A was significantly higher than that in the other groups (P<0.05). Recombinant AAV-mediated SOX9 and OP1 double-gene transfection significantly ameliorated the height of the degenerative intervertebral disc and significantly promoted the high expression of degenerative disc proteoglycan and type II collagen. It can therefore be concluded that dual-gene therapy has a synergistic effect.

Trigeminal neurinomas: clinical features and surgical experience in 84 patients.

Trigeminal neurinomas are the second most common intracranial neurinomas next to the vestibular neurinomas. Eighty-four patients with trigeminal neurinomas were treated between 2003 and 2007. There were 40 women and 44 men (mean age 43 years). The most frequent symptoms were headache or numbness of the ipsilateral hemiface. There were 24 type A, nine type B, 45 type C, and six type D tumors. Dextroscope virtual reality technology was used for preoperative planning in recent eight cases. Gross total resection was achieved in 63 patients. We found that the major impediments to complete removal were adherent to the brainstem and skull base vascular structure, the frontotemporal approach with zygomatic or orbitozygomatic osteotomy or subtemporal approach could offer excellent exposure of the middle fossa and access to the posterior fossa, and Dextroscope virtual reality technology was a very useful tool to identify surgical and anatomic nuances and enhance preoperative planning in trigeminal neurinomas resection.