In this study,the similarities and differences of plasma collection and quality control in China and abroad were analyzed by comparing the related regulations,standards,guidelines and literatures.Rational and constructive suggestions were proposed,aiming to optimize domestic plasma management and promote the improvement of plasma-related standards.There was little difference on facilities and safety control process of plasma between China and the developed countries(United States,EU and Japan),However,significant differences existed on plasma station setting,donor screening standards,collection interval,volume limits,plasma testing modes and tests,plasma quarantine standard and utilization of recovered plasma.The United States sets the industry benchmark and is worthy of reference for our country both in plasma collection and quality control.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

In this study,the similarities and differences of plasma collection and quality control in China and abroad were analyzed by comparing the related regulations,standards,guidelines and literatures.Rational and constructive suggestions were proposed,aiming to optimize domestic plasma management and promote the improvement of plasma-related standards.There was little difference on facilities and safety control process of plasma between China and the developed countries(United States,EU and Japan),However,significant differences existed on plasma station setting,donor screening standards,collection interval,volume limits,plasma testing modes and tests,plasma quarantine standard and utilization of recovered plasma.The United States sets the industry benchmark and is worthy of reference for our country both in plasma collection and quality control.

Objective:To perform routine plasma test, SARS-CoV-2 nucleic acid test, and respiratory pathogenic microorganism nucleic acid test on plasma samples collected from 1 040 healthy plasma donors in winter.Methods:Plasma samples were collected from 1 040 healthy plasma donors at Yunmeng Plasma Collection Station in the winter of 2020. Routine plasma test, HBV/HCV/HIV nucleic acid test, SARS-CoV-2 nucleic acid test, and 22 respiratory pathogenic microorganism nucleic acid test were performed to analyze the quality of blood plasmas.Results:All plasma samples were qualified in the routine tests, meeting the requirements of the Chinese Pharmacopoeia, and tested negative for SARS-CoV-2 nucleic acid. Respiratory pathogenic microorganism nucleic acids were detected in 29 samples with a positive rate of 2.79% (29/1 040). There were 21 cases of simple virus infections, including 17 cases of coronavirus subtype infection, three cases of parainfluenza virus type 2 infection, and one case of human bocavirus infection. Eight cases were mixed infections of viruses and bacteria, four of which were viral infection combined with Bordetella pertussis. The 29 positive samples were collected from people of different age groups, including two from 31-40 years old (1.96%, 2/102 ), three from 41-50 years old (1.59%, 3/189), five from 51-55 years old (1.94%, 5/257), and 19 from 56-60 years old (4.59%, 19/414). Samples from the people aged 56-60 years accounted for the most (39.81%, 414/1 040), as well as the infection rate in this age group. Conclusions:In autumn and winter, respiratory pathogenic microorganism nucleic acid test should be performed when collecting plasma samples from donors aged 56-60 years in addition to meeting the requirements of the Chinese Pharmacopoeia. It is also suggested to conduct respiratory pathogenic microorganism nucleic acid test on pooled plasma and blood products.

Objective To propose a novel algorithm model based on YOLOv7 for detecting small lesions in ultrasound images of hepatic cystic echinococcosis.Methods The original feature extraction backbone was replaced with a lightweight feature extraction backbone network GhostNet for reducing the quantity of model parameters.To address the problem of low detection accuracy when the evaluation index CIoU of YOLOv7 was used as a loss function,ECIoU was substituting for CIoU,which further improved the model detection accuracy.Results The model was trained on a self-built dataset of small lesion ultrasound images of hepatic cystic echinococcosis.The results showed that the improved model had a size of 59.4 G and a detection accuracy of 88.1%for mAP@0.5,outperforming the original model and surpassing other mainstream detection methods.Conclusion The proposed model can detect and classify the location and category of lesions in ultrasound images of hepatic cystic echinococcosis more efficiently.

Objective To apply the improved DeepLabV3+based image semantic segmentation algorithm to the ultrasound image processing for hepatic cystic echinococcosis,thereby achieving automatic segmentation and detection of hepatic echinococcosis lesions,and improving clinical diagnostic efficiency.Methods DeepLabV3+based image semantic segmentation network was employed as the basic method,and the following improvements were made.To address the issues of high computational complexity,high memory consumption,difficulty in deploying on embedded platforms with limited computing power,and difficulty in fully utilizing multi-scale information when extracting image feature information,the original backbone network Xception of the model was replaced with MobileNetV2 for obtaining a lightweight model framework.Additionally,efficient channel attention was applied to underlying features for reducing computational complexity and improving the clarity of target boundaries;and finally,Dice Loss was introduced into the model to alleviate the problem of the model focusing more on the background area and ignoring the foreground area containing the target.Results Validation was conducted on 5 lesion types in the self-built VOC2007 dataset of hepatic cystic echinococcosis.Experimental results showed that the improved model achieved a mean intersection over union of 73.8 and a mean pixel accuracy of 83.5,indicating that the model can predict more precise semantic segmentation results and effectively optimize model complexity and segmentation accuracy.

Cranial defects may result from clinical brain tumor surgery or accidental trauma. The defect skulls require hand-designed skull implants to repair. The edge of the skull implant needs to be accurately matched to the boundary of the skull wound with various defects. For the manual design of cranial implants, it is time-consuming and technically demanding, and the accuracy is low. Therefore, an informer residual attention U-Net (IRA-Unet) for the automatic design of three-dimensional (3D) skull implants was proposed in this paper. Informer was applied from the field of natural language processing to the field of computer vision for attention extraction. Informer attention can extract attention and make the model focus more on the location of the skull defect. Informer attention can also reduce the computation and parameter count from N ² to log( N). Furthermore,the informer residual attention is constructed. The informer attention and the residual are combined and placed in the position of the model close to the output layer. Thus, the model can select and synthesize the global receptive field and local information to improve the model accuracy and speed up the model convergence. In this paper, the open data set of the AutoImplant 2020 was used for training and testing, and the effects of direct and indirect acquisition of skull implants on the results were compared and analyzed in the experimental part. The experimental results show that the performance of the model is robust on the test set of 110 cases fromAutoImplant 2020. The Dice coefficient and Hausdorff distance are 0.940 4 and 3.686 6, respectively. The proposed model reduces the resources required to run the model while maintaining the accuracy of the cranial implant shape, and effectively assists the surgeon in automating the design of efficient cranial repair, thereby improving the quality of the patient's postoperative recovery.
Humans ; Computer-Aided Design ; Skull/surgery* ; Prostheses and Implants ; Head

Objective:To investigate the colonscopy screening interval among patients with negative colonscopy.Methods:We selected 14 606 participants who completed the baseline and 3-year or 5-year colonoscopy examinations in the American Prostate, Lung, Colorectal, and Ovarian (PLCO) dataset as the target population. Sociodemographic characteristics (i.e., sex, age, marital status, race, and smoking), lifestyle, family history of cancer, and family history of colorectal cancer were collected. Cochran-Armitage trend analysis was used to examine whether the rate of positive cases (colorectal cancer, advanced adenoma, adenoma, and hyperplastic polyp) was increased with the length of screening interval. We compared the differences in number of detected cases, positive rates, and proportions of 3-year and 5-year screening interval strategies using internal standardization method.Results:The age of the population was （61.9±5.2） years and over half of them were males (54.4%) and 46.2% had family cancer history. The mean screening interval between the first and second endoscopies was （1 639.1±320.9） days. A total of 1 716 cases had positive endoscopic findings. With the screening interval extended, rate of the screened positive cases was also increased ( P for trend<0.001). After standardized by the internal standardized population (14 606), 17.99 and 11.57 colorectal cancer cases and 177.37 and 240.35 advanced adenoma cases were detected by 3-year and 5-year screening interval strategies, respectively. Conclusion:Based on the initial screening negative population of colonoscopy in the United States, the 3-year screening interval strategy could detect a relatively large number of colorectal cancer cases, but its health and economic evaluation needs to be further explored.

Objective:To investigate the colonscopy screening interval among patients with negative colonscopy.Methods:We selected 14 606 participants who completed the baseline and 3-year or 5-year colonoscopy examinations in the American Prostate, Lung, Colorectal, and Ovarian (PLCO) dataset as the target population. Sociodemographic characteristics (i.e., sex, age, marital status, race, and smoking), lifestyle, family history of cancer, and family history of colorectal cancer were collected. Cochran-Armitage trend analysis was used to examine whether the rate of positive cases (colorectal cancer, advanced adenoma, adenoma, and hyperplastic polyp) was increased with the length of screening interval. We compared the differences in number of detected cases, positive rates, and proportions of 3-year and 5-year screening interval strategies using internal standardization method.Results:The age of the population was （61.9±5.2） years and over half of them were males (54.4%) and 46.2% had family cancer history. The mean screening interval between the first and second endoscopies was （1 639.1±320.9） days. A total of 1 716 cases had positive endoscopic findings. With the screening interval extended, rate of the screened positive cases was also increased ( P for trend<0.001). After standardized by the internal standardized population (14 606), 17.99 and 11.57 colorectal cancer cases and 177.37 and 240.35 advanced adenoma cases were detected by 3-year and 5-year screening interval strategies, respectively. Conclusion:Based on the initial screening negative population of colonoscopy in the United States, the 3-year screening interval strategy could detect a relatively large number of colorectal cancer cases, but its health and economic evaluation needs to be further explored.

Objective To extract Xinjiang Uyghur medicine image features and analyze the features; To investigate the image classification effect of the researched features; To find the suitable features for Xinjiang Uyghur medicine image classification; To lay the foundation for content-based medical image retrieval system of Xinjiang Uyghur medicine images.Methods The flowers and leaves of Xinjiang Uyghur medicine were treated as the research objects. First, images were under preprocessing. Then color and textural features were extracted as original features and statistics method was used to analyze the features. Maximum classification distance was used to analyze the main features obtained from image classification. At last, the classification ability of features was evaluated by Bayes discriminant analysis.Results Color and textural features were selected and classified. The correct classification rate of flower images was 85% and the correct classification rate of leaf images was 62%. The classification effect of flower images used by selected features was better than classification effect of original feature.Conclusion Compared with the classification of original features, the classification accuracy of flower medicine is higher through selected features. This research can lay a certain foundation for the further researches on Xinjiang Uyghur medicine images and the improvement of feature extraction methods.