Objective To develop a high-accuracy, better-safety and low-cost cervical pedicle locator system for guiding cervical pedicle screw placement. Methods Cervical pedicle screw locator system was made of stainless steel. Ten cervical specimens from voluntary donation were divided into two groups according to compatibil ity design: control group inwhich 60 screws were planted into C2-7 by free hand; and experimental group in which 60 screws were planted into C2-7 under the guidance of three-dimensional locator system. The condition of screw insertion was observed and the accuracy was evaluated by the integrity of pedicle walls. Results In the control group, 32 screws (53.33%) were placed inside the pedicles and 28 (46.67%) were outside; 9 screws (15.00%) led to nerve root injury, 5 screws (8.33%) caused vertebral artery injury and no spinal cord injury occurred; and the qual ification ratio of screw insertion was 76.67% (excellent 32, fair 14, poor 14). While in the experimental group, 54 screws (90.00%) were placed inside the pedicles and 6 (10.00%) were outside; 1 screw (1.67%) caused vertebral artery injury and no nerve root injury and spinal cord injury occurred; and the qual ification ratio of screw insertion was 98.33% (excellent 54, fair 5, poor 1). There was significant difference between the two groups (P lt; 0.05). Conclusion Cervical pedicle screw locator system has the advantages of easy manipulation, high accuracy of screw placement and low cost. With further study, it can be appl ied to the cl inical.
The main shortcomings of using electrocortical stimulation (ECS) in identifying the motor functional area around the focus in neurosurgery are certainly time-consuming, possibly cerebral cortex injuring and perhaps triggering epilepsy. To solve these problems, we in our research presented an intraoperative motor cortex functional mapping based on electrocorticography (ECoG). At first, using power spectrum estimation, we analyzed the characteristic of ECoG which was related to move task, and selected Mu rhythm as the move-related feature. Then we extracted the feature from original ECoG by multi-resolution wavelet analysis. By calculating the sum value of feature in every channel and observing the distribution of these sum values, we obtained the correlation between the cortex area under the electrode and motor cortex functional area. The results showed that the distribution of the relationship between the cortex under the electrode and motor cortex functional area was almost consistent with those identified by ECS which was called as ‘the gold-standard’. It indicated that this method was basically feasible, and it just needed five minutes totally. In conclusion, ECoG-based and passive identification of motor cortical function may serve as a useful adjunct to ECS in the intraoperative mapping.
Building a harmonious socialist society reflects the inherent requirement of building a prosperous, democratic, civilized and harmonious modern socialist country. Strengthening medical and health services, and improving the level of people's health is one of the most important measures in constructing a socialist harmonious society of the CPC Central committee. Hospital is an important part of medical and health services. Hospital trade union is the bridge and link between the party and workers. Therefore, hospital trade union should give full play to its function and role, actively participate and promote the construction of harmonious hospital. The current hospital trade unions need positioned and explored under the present situation.
目的 討論B型超聲定位下頸內靜脈穿刺置管的經驗。方法 回顧我中心2008年11月至2009年4月期間采用B型超聲定位行頸內靜脈置管的286例患者的臨床資料。結果 一次性穿刺成功率為99.3%（284/286），置管成功率為100%（286/286）； 穿刺時間50 s~12 min，平均106.8 s； 帶管時間5～64 d，平均13 d； 未出現血氣胸、皮下血腫等并發癥。結論 B型超聲定位下頸內靜脈穿刺操作簡單、方便、安全，適用于各級別醫院。在頸短肥胖，被動體位情況下，B型超聲定位下置管優勢大于傳統的盲探法及彩色多普勒超聲引導下置管法。
Objective To develop an automatic diagnostic tool based on deep learning for lumbar spine stability and validate diagnostic accuracy. Methods Preoperative lumbar hyper-flexion and hyper-extension X-ray films were collected from 153 patients with lumbar disease. The following 5 key points were marked by 3 orthopedic surgeons: L4 posteroinferior, anterior inferior angles as well as L5 posterosuperior, anterior superior, and posterior inferior angles. The labeling results of each surgeon were preserved independently, and a total of three sets of labeling results were obtained. A total of 306 lumbar X-ray films were randomly divided into training (n=156), validation (n=50), and test (n=100) sets in a ratio of 3∶1∶2. A new neural network architecture, Swin-PGNet was proposed, which was trained using annotated radiograph images to automatically locate the lumbar vertebral key points and calculate L4, 5 intervertebral Cobb angle and L4 lumbar sliding distance through the predicted key points. The mean error and intra-class correlation coefficient (ICC) were used as an evaluation index, to compare the differences between surgeons’ annotations and Swin-PGNet on the three tasks (key point positioning, Cobb angle measurement, and lumbar sliding distance measurement). Meanwhile, the change of Cobb angle more than 11° was taken as the criterion of lumbar instability, and the lumbar sliding distance more than 3 mm was taken as the criterion of lumbar spondylolisthesis. The accuracy of surgeon annotation and Swin-PGNet in judging lumbar instability was compared. Results ① Key point: The mean error of key point location by Swin-PGNet was (1.407±0.939) mm, and by different surgeons was (3.034±2.612) mm. ② Cobb angle: The mean error of Swin-PGNet was (2.062±1.352)° and the mean error of surgeons was (3.580±2.338)°. There was no significant difference between Swin-PGNet and surgeons (P>0.05), but there was a significant difference between different surgeons (P<0.05). ③ Lumbar sliding distance: The mean error of Swin-PGNet was (1.656±0.878) mm and the mean error of surgeons was (1.884±1.612) mm. There was no significant difference between Swin-PGNet and surgeons and between different surgeons (P>0.05). The accuracy of lumbar instability diagnosed by surgeons and Swin-PGNet was 75.3% and 84.0%, respectively. The accuracy of lumbar spondylolisthesis diagnosed by surgeons and Swin-PGNet was 70.7% and 71.3%, respectively. There was no significant difference between Swin-PGNet and surgeons, as well as between different surgeons (P>0.05). ④ Consistency of lumbar stability diagnosis: The ICC of Cobb angle among different surgeons was 0.913 [95%CI (0.898, 0.934)] (P<0.05), and the ICC of lumbar sliding distance was 0.741 [95%CI (0.729, 0.796)] (P<0.05). The result showed that the annotating of the three surgeons were consistent. The ICC of Cobb angle between Swin-PGNet and surgeons was 0.922 [95%CI (0.891, 0.938)] (P<0.05), and the ICC of lumbar sliding distance was 0.748 [95%CI(0.726, 0.783)] (P<0.05). The result showed that the annotating of Swin-PGNet were consistent with those of surgeons. ConclusionThe automatic diagnostic tool for lumbar instability constructed based on deep learning can realize the automatic identification of lumbar instability and spondylolisthesis accurately and conveniently, which can effectively assist clinical diagnosis.
Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
ObjectiveTo detect the expression of Krüppel like factor 8 (KLF8) in breast cancer tissues and cells and to explore the clinical significance of KLF8.Methods① The Oncomine database was used to analyze the differential expression of KLF8 mRNA in the breast cancer tissues. The Kaplan-Meier Plotter database was used to analyze the relationship between KLF8 mRNA expression and prognosis (relapse free survival, overall survival, post-progression survival, and distant metastasis-free survival) of patients with breast cancer. ② The quantitative real-time PCR (qRT-PCR) and Western blot were used to detect the KLF8 expression levels in the 16 clinical patients with breast cancer and 7 breast cancer cell lines (MDA-MB-231, MCF-12A, Hs-578T, MCF-7, BT-474, MDA-MB-453, ZR-75-30) and normal breast epithelial cell lines MCF-10A, and the immunofluorescence was used to further detect the localization of KLF8 expression in the 2 breast cancer cell lines with higher KLF8 expression level. ③ The immunohistochemistry was used to detect the expression of KLF8 protein in 135 cases of breast cancer tissue microarrays, and the relationships between KLF8 protein expression and clinicopathologic characteristics or overall survival were analyzed.Results① The Oncomine database showed that KLF8 mRNA expression in the breast cancer tissues was higher than that in the normal breast tissues (P<0.001). The median KLF8 mRNA expression level was taken as the cut-off point for high or low KLF8 expression. The results of Kaplan-Meier Plotter data analysis showed that the prognosis (relapse free survival, overall survival, postprogression survival, and distant metastasis-free survival) of patients with low KLF8 mRNA expression were better than those of patients with high KLF8 mRNA expression (P<0.05). ② The results of qRT-PCR and Western blot all showed that the KLF8 mRNA and protein expression levels in the breast cancer tissues were higher than those in the adjacent normal tissues (P=0.002, P<0.001). In addition, the Western blot results showed that the expression of KLF8 protein in the 7 breast cancer cell lines was higher than that in the normal breast epithelial cell lines MCF-10A respectively, and KLF8 protein mainly expressed in the cytoplasm of breast cancer cells and highly expressed in the nuclear of a few cells. ③ There were 63 cases of high KLF8 expression and 72 cases of low KLF8 expression by the immunohistochemical analysis of 135 patients with breast cancer tissue microarray (the H-score of the immunohistochemical test results was 75 as the cut-off point, H-score >75 was the high KLF8 expression and H-score ≤75 was the low KLF8 expression), the differences of statuses of estrogen receptor (ER) and progesterone receptor (PR) between the patient with high KLF8 expression and low KLF8 expression were significant (P<0.05). The Kaplan-Meier survival curve analysis showed that the prognosis of patients with high KLF8 expression was worse than that of patients with low KLF8 expression (P=0.002). The univariate analysis showed that the TNM stage, statuses of ER and PR, and KLF8 expression were related to the prognosis of patients with breast cancer (P<0.05), further multivariate Cox proportional hazards regression analysis indicated that the later stage of TNM and high KLF8 expression were the independent risk factors (P<0.05).ConclusionsThe results of this study suggest that KLF8 highly expresses in both breast cancer tissues and breast cancer cells, which is related to the statuses of ER and PR and prognosis of patients with breast cancer. KLF8 might be involved in the progression of breast cancer as an oncogenic gene, or it might provide a new direction for prognosis judgment and molecular targeted therapy of breast cancer.
ObjectiveTo systematically evaluate the application effect of CT-guided Hook-wire localization and CT-guided microcoil localization in pulmonary nodules surgery. MethodsThe literatures on the comparison between CT-guided Hook-wire localization and CT-guided microcoil localization for pulmonary nodules were searched in PubMed, EMbase, The Cochrane Library, Web of Science, Wanfang, VIP and CNKI databases from the inception to October 2021. Review Manager (version 5.4) software was used for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of studies.ResultsA total of 10 retrospective cohort studies were included, with 1 117 patients including 473 patients in the CT-guided Hook-wire localization group and 644 patients in the CT-guided microcoil localization group. The quality of the studies was high with NOS scores>6 points. The result of meta-analysis showed that the difference in the localization operation time (MD=0.14, 95%CI ?3.43 to 3.71, P=0.940) between the two groups was not statistically significant. However, the localization success rate of the Hook-wire group was superior to the microcoil group (OR=0.35, 95%CI 0.17 to 0.72, P=0.005). In addition, in comparison with Hook-wire localization, the microcoil localization could reduce the dislocation rate (OR=4.33, 95%CI 2.07 to 9.08, P<0.001), the incidence of pneumothorax (OR=1.62, 95%CI 1.12 to 2.33, P=0.010) and pulmonary hemorrhage (OR=1.64, 95%CI 1.07 to 2.51, P=0.020). ConclusionAlthough Hook-wire localization is slightly better than microcoil localization in the aspect of the success rate of pulmonary nodule localization, microcoil localization has an obvious advantage compared with Hook-wire localization in terms of controlling the incidence of dislocation, pneumothorax and pulmonary hemorrhage. Therefore, from a comprehensive perspective, this study believes that CT-guided microcoil localization is a preoperative localization method worthy of further promotion.
ObjectiveTo evaluate the safety and application value of three-dimensional reconstruction for localization of pulmonary nodules in thoracoscopic lung wedge resection.MethodsThe clinical data of 96 patients undergoing thoracoscopic lung wedge resection in our hospital from January 2019 to August 2020 were retrospectively reviewed and analyzed, including 30 males and 66 females with an average age of 57.62±12.13 years. The patients were divided into two groups, including a three-dimensional reconstruction guided group (n=45) and a CT guided Hook-wire group (n=51). The perioperative data of the two groups were compared.ResultsAll operations were performed successfully. There was no statistically significant difference between the two groups in the failure rate of localization (4.44% vs. 5.88%, P=0.633), operation time [15 (12, 19) min vs. 15 (13, 17) min, P=0.956], blood loss [16 (10, 20) mL vs. 15 (10, 19) mL, P=0.348], chest tube placement time [2 (2, 2) d vs. 2 (2, 2) d, P=0.841], resection margin width [2 (2, 2) cm vs. 2 (2, 2) cm, P=0.272] or TNM stage (P=0.158). The complications of CT guided Hook-wire group included pneumothorax in 2 patients, hemothorax in 2 patients and dislodgement in 4 patients. There was no complication related to puncture localization in the three-dimensional reconstruction guided group.ConclusionBased on three-dimensional reconstruction, the pulmonary nodule is accurately located. The complication rate is low, and it has good clinical application value.
The precise localization of pulmonary nodules has become an important technical key point in the treatment of pulmonary nodules by thoracoscopic surgery, which is a guarantee for safe margin and avoiding removal of too much normal lung parenchyma. With the development of medical technology and equipment, the methods of locating pulmonary nodules are also becoming less trauma and convenience. There are currently a number of methods applied to the preoperative or intraoperative localization of pulmonary nodules, including preoperative percutaneous puncture localization, preoperative transbronchial localization, intraoperative palpation localization, intraoperative ultrasound localization, and localization according to anatomy. The most appropriate localization method should be selected according to the location of the nodule, available equipment, and surgeon’s experience. According to the published literatures, we have sorted out a variety of different theories and methods of localization of pulmonary nodules in this article, summarizing their advantages and disadvantages for references.