Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI.

Since the hippocampus is of small size, low contrast, and irregular shape, a novel hippocampus segmentation method based on subspace patch-sparsity clustering in brain MRI is proposed to improve the segmentation accuracy, which requires that the representation coefficients in different subspaces should be as sparse as possible, while the representation coefficients in the same subspace should be as average as possible. By restraining the coefficient matrix with the patch-sparse constraint, the coefficient matrix contains a patch-sparse structure, which is helpful to the hippocampus segmentation. The experimental results show that our proposed method is effective in the noisy brain MRI data, which can well deal with hippocampus segmentation problem.

Detection of 3D Arterial Centerline Extraction in Spiral CT Coronary Angiography.

This paper presents an in-depth study and analysis of the 3D arterial centerline in spiral CT coronary angiography, and constructs its detection and extraction technique. The first time, the distance transform is used to complete the boundary search of the original figure; the second time, the distance transform is used to calculate the value of the distance transform of all voxels, and according to the value of the distance transform, unnecessary voxels are deleted, to complete the initial contraction of the vascular region and reduce the computational consumption in the next process; then, the nonwitnessed voxels are used to construct the maximum inner joint sphere model and find the skeletal voxels that can reflect the shape of the original figure. Finally, the skeletal lines were optimized on these initially extracted skeletal voxels using a dichotomous-like principle to obtain the final coronary artery centerline. Through the evaluation of the experimental results, the algorithm can extract the coronary centerline more accurately. In this paper, the segmentation method is evaluated on the test set data by two kinds of indexes: one is the index of segmentation result evaluation, including dice coefficient, accuracy, specificity, and sensitivity; the other is the index of clinical diagnosis result evaluation, which is to refine the segmentation result for vessel diameter detection. The results obtained in this paper were compared with the physicians' labeling results. In terms of network performance, the Dice coefficient obtained in this paper was 0.89, the accuracy was 98.36%, the sensitivity was 93.36%, and the specificity was 98.76%, which reflected certain advantages in comparison with the advanced methods proposed by previous authors. In terms of clinical evaluation indexes, by performing skeleton line extraction and diameter calculation on the results obtained by the segmentation method proposed in this paper, the absolute error obtained after comparing with the diameter of the labeled image was 0.382 and the relative error was 0.112, which indicates that the segmentation method in this paper can recover the vessel contour more accurately. Then, the results of coronary artery centerline extraction with and without fine branch elimination were evaluated, which proved that the coronary artery centerline has higher accuracy after fine branch elimination. The algorithm is also used to extract the centerline of the complete coronary artery tree, and the results prove that the algorithm has better results for the centerline extraction of the complete coronary vascular tree.

5G Edge Computing Enabled Directional Data Collection for Medical Community Electronic Health Records.

It is important to promote the development and application of hospital information system, community health service system, etc. However, it is difficult to realize the intercommunication between various information systems because it is not enough to realize the in-depth management of health information. To address these issues, we design the 5G edge computing-assisted architecture for medical community. Then, we formulate the directional data collection (DDC) problem to gather the EMR/HER data from the medical community to minimize the service error under the deadline constraint of data collection deadline. Moreover, we design the data direction prediction algorithm (DDPA) to predict the data collection direction and propose the data collection planning algorithm (DCPA) to minimize the data collecting time cost. Through the numerical simulation experiments, we demonstrate that our proposed algorithms can decrease the total time cost by 62.48% and improve the data quality by 36.47% through the designed system, respectively.

Third-line chemotherapy in advanced gastric cancer: A systematic review and meta-analysis.

BACKGOUND: Little information regarding to the survival advantage of third-line chemotherapy in advanced gastric cancer patients is available. The current study is designed to systematically review and perform meta-analysis on the effect of third-line chemotherapy on progressive or recurrent gastric cancer treatment. METHODS: After thorough searching of online databases, total 20 articles were included into qualitative systematic review and 6 of them were used to conduct qualitative meta-analysis. RESULTS: It was found that the third-line chemotherapy was superior to placebo or best supportive care in terms of prolonging median oval survival (OS) length and progress free survival (PFS) length (Hedges's g for OS = -0.315 ±â€Š0.077, P < .001; and for PFS = -0.382 ±â€Š0.098, P < .001). In addition, the third-line chemotherapy was favored (Hedges's g = 0.848, P < .001) in terms of overall survival rate (Hazard ratio = 0.679, 95% confidence interval: 0.565-0.816, P < .001) or tumor free survival rate (Hazard ratio = 0.561, 95% confidence interval: 0.444-0.709, P < .001). CONCLUSION: The third-line chemotherapy is superior to the best supportive care in advanced gastric cancer patients who had been pretreated with first-line and second-line chemotherapy.

[Bushen Huoxue Fang promotes the apoptosis of epithelial cells in the prostatic ductal system of rats with benign prostatic hyperplasia].

OBJECTIVE: To investigate the effects of Bushen Huoxue Fang (BSHX) on the apoptosis of epithelial cells in the prostatic ductal system of rats with benign prostatic hyperplasia (BPH) and its possible action mechanism. METHODS: One hundred 3- month-old male Wistar rats were randomly divided into four groups of equal number (control, castrated, BPH model, and BSHX). BPH models were made by subcutaneous injection of testosterone following castration; the rats in the BSHX group were treated intragastrically with BSHX at 2.34 g/ml after modeling, while those in the other two groups with equal volume of saline, all for 37 days. On the 38th day, all the rats were sacrificed and their prostates harvested for detection of the distribution of TGF-beta1 and alpha-actin and the count of positive cells in the prostatic ductal system by immunohistochemical staining. The apoptosis rate of epithelial cells in the prostatic ductal system was determined by TUNEL assay. RESULTS: The expression of TGF-beta1 was significantly increased in the rats of the BSHX group as compared with the BPH models in both the proximal prostatic duct ([15.28 +/- 4.30]% vs [36.42 +/- 8.10]%, P < 0.01) and the distal prostatic duct ([4.42 +/- 2.07]% vs [8.71 +/- 2.28 ]%, P < 0.05), while the expression of alpha-actin in the proximal duct was remarkably higher in the BSHX-treated rats than in the models ([28.14 +/- 7.43]% vs [18.28 +/- 4.07]%, P < 0.01), but lower than in the control animals ([33.57 +/- 6.85]%, P < 0.05). Compared with the control group, the BPH models and BSHX-treated rats both exhibited markedly decreased apoptosis of epithelial cells in the proximal prostatic duct ([39.42 +/- 9.20]% vs [3.86 +/- 1.34]%, P < 0.01, and [31.14 +/- 5.64]%, P < 0.01) and distal prostatic duct ([17.60 +/- 4.86]% vs [3.07 +/- 1.14]%, P < 0.01, and [12.37 +/- 2.25]%, P < 0.05). The apoptosis rate of epithelial cells in the prostatic ductal system was significantly higher in the BSHX-treated rats than in the BPH models (P < 0.01). CONCLUSION: By upregulating the expression of TGF-beta, BSHX can suppress the reduction of smooth muscle cells in the proximal prostatic duct, promote the apoptosis of prostatic epithelial cells, and thus effectively inhibit benign prostatic hyperplasia.