Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

OBJECTIVE To evaluate the influence of pharmaceutical quality control on the efficiency and outcomes of standardized medication therapy management （MTM） services for patients with coronary heart disease by using Economic， Clinical and Humanistic Outcomes （ECHO） model. METHODS This study collected case data of coronary heart disease patients who received MTM services during January-March 2023 （pre-quality control implementation group， n＝96） and June-August 2023 （post-quality control implementation group， n＝164）. Using propensity score matching analysis， 80 patients were selected from each group. The study subsequently compared the economic， clinical， and humanistic outcome indicators of pharmaceutical services between the two matched groups. RESULTS There were no statistically significant differences in baseline data between the two groups after matching （P＞0.05）. Compared with pre-quality control implementation group， the daily treatment cost （16.26 yuan vs. 24.40 yuan， P＜0.001）， cost-effectiveness ratio [23.12 yuan/quality-adjusted life year （QALY） vs. 32.32 yuan/QALY， P＜0.001]， and the incidence of general adverse drug reactions （2.50% vs. 10.00%， P＝0.049） of post-quality control implementation group were decreased significantly； the utility value of the EuroQol Five-Dimensional Questionnaire （0.74± 0.06 vs. 0.71±0.07， P＝0.003）， the reduction in the number of medication related problems （1.0 vs. 0.5， P＜0.001）， the medication adherence score （[ 6.32±0.48） points vs. （6.10±0.37） points， P＝0.001]， and the satisfaction score （[ 92.56±1.52） points vs. （91.95±1.56） points， P＝0.013] all showed significant improvements. Neither group experienced serious adverse drug reactions. There was no statistically significant difference in the incidence of new adverse reactions between the two groups （1.25% vs. 3.75%， P＝0.310）. CONCLUSIONS Pharmaceutical quality control can improve the quality of pharmaceutical care， and the ECHO model can quantitatively evaluate the effect of MTM services， making pharmaceutical care better priced and more adaptable to social needs， thus being worthy of promotion.

α7 nicotinic acetylcholine receptor(α7nAChR)is widely expressed in the central nervous system and immune system,and plays a neuro-immunoregulatory role.On the one hand,α7nAChR is involved in the transmission of neurotransmitters,the conduction of excitatory signals and the maintenance of synaptic plasticity,which is of great significance for maintaining the normal and stable neurocognitive function.On the other hand,as an important part of the cholinergic anti-inflammatory pathway,α7nAChR is involved in the regulation of physiological and pathological processes such as inflammatory response,oxidative stress,apoptosis and autophagy in the central system,and plays an immunomodulatory and neuroprotective role,thus being potential target for improving perioperative neurocognitive function.This article reviews the biological characteristics of α7nAChR and its effect on perioperative neurocognitive function,in order to provide ideas and methods for clinical improvement of perioperative neurocognitive function in surgical patients.

Objective To explore the correlation between epicardial fat volume(EFV),epicardial fat volume indexed(EFVi)and coronary artery lumen stenosis in young adults.Methods The data of 80 young patients who underwent both coronary computed tomography angiography(CCTA)and coronary angiography(CAG)within 2 weeks were analyzed retrospectively.The correlation between EFV,EFVi and coronary artery lumen stenosis in young adults was evaluated.Results A total of 80 patients were enrolled,taking CAG exomination results as the gold standard,58 cases were enrolled into the lesion group and the other 22 cases were enrolled into the control group.The incidence of coronary artery lumen stenosis was higher in young males than that in young females(t=4.309,P=0.038).EFV and EFVi in the lesion group were higher than those in the control group(t=3.023,P=0.001;t=2.785,P=0.001).The EFV in males was higher than that in females(t=2.558,P=0.012).There was no significant difference in EFVi between male and female groups.The differences between EFV and EFVi of males in lesion group and control group were statistically significant(t=4.083,P<0.01;t=4.429,P<0.01).The differences between EFV and EFVi of females in lesion group and control group showed no sta-tistical significance.EFV and EFVi were moderately positively correlated with coronary artery lumen stenosis(rs=0.437,P<0.01;rs=0.463,P<0.01).Receiver operating characteristic(ROC)curve analysis of EFV and EFVi showed that the area under the curve(AUC)of EFV was 0.784,the cut-off value was 107.24 cm3,the sensitivity was 0.776,and the specificity was 0.682.The AUC,cut-off value,sensitivity and specificity of EFVi was 0.793,53.68 cm3/m2,0.81,0.682,respectively.Conclusion EFV and EFVi are moderately positively correlated with coronary artery lumen stenosis in young adults,which is helpful to the diagnosis of coronary heart disease.However,the differences between EFV and EFVi of young females in lesion group and control group show no statistical significance.

Objective:To analyze clinical characteristics of primary pancreatic lymphoma (PPL) patients.Methods:Clinical features of 22 patients diagnosed as PPL admitted to Peking Union Medical College Hospital from January 2002 to May 2023 were analyzed retrospectively.Results:The median age was 56.4±13.3 years. The median time from onset to diagnosis was 1.0 (1.0, 3.0) months. The main clinical manifestations were abdominal pain (15/22), weight loss (14/22) and jaundice (10/22). Elevated lactate dehydrogenase (LDH) was observed in 15/20 (75%) patients. Only 2 (2/9, 22.2%) patients had increased CA199 levels and 2 (2/9, 22.2%) patients had increased CEA levels. The maximum tumor diameter was 5.0 (3.8, 6.9) cm. Contrast-enhanced CT mostly showed low enhancement lesions. Major pancreatic duct dilatation were rare on CT scan (4/20). Fifteen patients were confirmed by pancreatic pathology, of which 8 were obtained by surgery, 4 were obtained by CT or ultrasound-guided percutaneous biopsy, and 3 were obtained by EUS-FNA. The main pathological type was diffuse large B-cell lymphoma (14/22). 19 patients received chemotherapy, and 6 patients died with a median follow-up of 5.0 (1.5, 35.5) months.Conclusions:PPL is rare and easy to be misdiagnosed. Elevated LDH levels, normal tumor markers, and non-dilatation of main pancreatic duct are important diagnostic clues. It is important to obtain pathology by EUS-FNA and other methods for definite diagnosis.

Objective:To carry out invasive prenatal diagnosis for a fetus with ultrasound-indicated agenesis of corpus callosum and explore its genetic etiology.Methods:A pregnant woman presented at the Affiliated Hospital of Putian College on December 16, 2022 was selected as the study subject. Amniotic fluid and peripheral blood samples from the fetus and the couple were collected. Conventional G-banded chromosomal karyotyping was carried out, and whole-genome copy number variation analysis was performed using single nucleotide polymorphism microarray (SNP-array).Results:The karyotypes of the fetus and the couple were normal by the G-banding analysis. SNP-array analysis of the amniotic fluid sample revealed a 4.5 Mb microdeletion in the 18q21.2q21.31 region of the fetus. SNP-array analysis of peripheral blood samples from the couple did not find any abnormality.Conclusion:Through G-banded chromosomal karyotyping and SNP-array analysis, a fetus with 18q21.2q21.31 microdeletion was identified, which has conformed to the diagnosis of Pitt-Hopkins syndrome. Above finding has provided a basis for genetic counseling for the couple.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

Objective To select high-quality and cost-effective dural(spinal)membrane repair materials,in order to reduce the cost of consumables procurement,save medical insurance funds,and optimize hospital operation and management.Methods Taking the BS06B disease group(spinal cord and spinal canal surgery without extremely severe or severe complications and comorbidities,mainly diagnosed as congenital tethered cord syndrome)as an example,a retrospective analysis was conducted on the relevant data of surgical treatment for congenital tethered cord syndrome conducted in our hospital from January 2021 to June 2023.Safety and efficacy indicators in clinical application(incidence of postoperative epidural hemorrhage,incidence of postoperative purulent cerebrospinal meningitis,incidence of cerebrospinal fluid leakage,surgical duration,and postoperative hospital stay)were compared.Results There was no difference in safety and effectiveness between different brands of dura mater repair materials.Conclusion For the repair of small incisions in dura mater surgery,high-quality and cost-effective dura mater repair materials can be selected to reduce hospital costs and control expenses for the disease group.

The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.

Objective To investigate the dosimetric effects of different calculation grid size(CGS)in helical tomotherapy(HT)planning system on stereotactic body radiation therapy(SBRT)for non-small cell lung cancer(NSCLC).Methods Nine NSCLC patients receiving radiation therapy for the first time at some hospital from March 2019 to December 2022 were selected as the subjects.SBRT planning was carried out through the HT system with three different CGS plans(Fine,Normal,and Coarse)and the same pitch,modulation factor(MF)and optimization conditions,and the target area indexes of the three CGS plans were compared including conformity index(CI),homogeneity index(HI),dosimetric parameters of the organ at risk(OAR),point dose verification pass rate,treatment time,number of monitor units and Sinograms.SPSS 22.0 was used for statistical analysis.Results For target area HI,there weres significant differences between CGS Fine plan and Coarse plan and between CGS Normal plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan(P＞0.05).For target area CI,there were significant differences between CGS Fine plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan and between CGS Normal plan and Coarse plan(P＞0.05).For OAR dosimetric parameters,CGS Fine plan and Coarse plan had significant differences in heart Dmax and Dmean,esophageal Dmax and Dmean,V5,V20,V30 and Dmean of the whole lung and affected lung,V5 and Dmax of the affected lung and heart V10 and V30(P＜0.05),CGS Normal plan and Coarse plan had obvious differences in esophageal Dmax(P＜0.05),and the remained dosimetric parameters were not statistically significant(P＞0.05).Fine,Normal and Coarse plans had the point dose verifica-tion pass rates being 0.96％,1.50％and 1.77％,respectively.In terms of treatment time and number of monitor units,there were significant differences between Fine plan and Coarse plan(P＜0.05)while no statistical differences were found between Fine and Normal plans and between Normal and Coarse plans(P＞0.05).Sinograms analyses showed Fine plan had evenly distributed segment color gradient,Coarse plan had areas of very dark and very light color gradients and Normal plan was somewhere in between.Conclusion Low CGS has to be used as much as possible to obtain accurate dose distribution during SBRT planning for NSCLC patients,which contributes to the execution of the radiation therapy plan and the prevention of ad-verse effects.[Chinese Medical Equipment Journal,2024,45(2):52-57]