Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To compare the effect of small optical zone orthokeratology lenses(OK lenses)and repeated low-level red-light(RLRL)therapy in controlling myopia progression for adolescents,and the therapeutic effectiveness of RLRL is evaluated.Methods A retrospective analysis was conducted on the clinical data of 80 adolescent myopic patients in the First Affiliated Hospital of Army Medical University.The patients were divided into the RLRL group and the OK lenses group according to different intervention methods,with 40 cases in each group.Patients in the RLRL group received RLRL therapy combined with single-vision spectacles,and patients in the OK lenses group were treated with OK lenses.The changes of spherical equivalent(SE),axial length and subfoveal choroidal thickness(SFCT)1,3,6,and 12 months after treatment compared with the baseline,and color vision of patients were assessed.Based on the mean baseline axial length of the RLRL group,the patients in this group were subdivided into the short axial group and the long axial group,and the changes of the axial length and SFCT were further analyzed.Results The diopter 1,3,6,and 12 months after treatment in the RLRL group were not significantly different from the baseline(P>0.05).Axial lengths of patients in the RLRL group progressively shortened after treatment and returned close to the baseline 12 months after treatment.In contrast,axial lengths of patients in the OK lens continued to grow within 12 months after treatment;the axial lengths at each time point after treatment of patients in the two groups were significantly different from the baseline(P<0.05).The changes of axial length of patients in the RLRL group at each time point after treatment were significantly smaller than those in the OK lenses group(P<0.05).The SFCT changes of patients in the RLRL group at each time point after treatment were all greater than those in the OK lenses group(P<0.05).The SFCT at each time point after treatment in the RLRL group were significantly different from the baseline(P<0.05),whereas the SFCT at each time point after treatment in the OK lenses group were not significantly different from the baseline(P>0.05).The changes of axial length at each time point after treatment of patients in the long axial group were all greater than those in the short axial group(P<0.05);the SFCT changes 6 months after treatment of patients in the long axial group was greater than that in the short axial group(P<0.05);the SFCT at each time point after treatment of patients in the two groups were signifi-cantly different from the baseline(P<0.05).Color vision tests revealed no abnormities after treatment in the RLRL group and the OK lenses group.Conclusion RLRL therapy is effective in controlling myopia progression and demonstrates superior axial length control compared to orthokeratology lenses.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective:Analysis of the composition of pathogen spectrum and prevalence characteristics in throat swabs of patients with acute respiratory infections (ARI) in Yucheng city, Henan province, from March to June 2023.Methods:After 1 153 throat swabs were collected from ARI patients in Yucheng, 18 respiratory pathogens were tested using a real-time fluorescence quantitative polymerase chain reaction (qPCR) method. The characterization of pathogens spectrum was analyzed.Results:A total of 1 153 throat swabs from ARI patients were collected from March to June 2023 in Yucheng, including 171 outpatients and 982 hospitalized patients. A total of 244 positive samples for common respiratory pathogens were detected (at least one pathogen per sample was detected). The total detection rate of respiratory pathogens was 21.16%, and the top three detection rates were, in descending order, human bocavirus (HBoV), enterovirus (EV), and human parainfluenza virus (HPIV). The main detection month for pathogens was May, with a detection rate of 42.3% (60/142). The main respiratory pathogens detected are HBoV, EV, and HPIV. The detection rate of the age group under 1 year old was the highest, at 25.1% (49/195), mainly consisting of HBoV, respiratory syncytial virus (RSV), and HPIV. The main clinical manifestations of respiratory pathogen-positive patients were fever and cough, and the clinical diagnosis was mainly lower respiratory tract infection, all of which were hospitalized patients.Conclusions:The respiratory pathogens in ARI patients were mainly HBoV, EV, and HPIV from March to June, 2023 in Yucheng. The peak of the epidemic was in May, mainly infecting children under 5 years of age.

Objective:To conduct a scoping review on the current status, assessment tools and influencing factors of malnutrition in elderly stroke patients, so as to provide new ideas for the development of individualized nutritional intervention programs.Methods:Studies related to malnutrition in elderly stroke patients were searched in China National Knowledge Infrastructure, VIP, WanFang Data, China Biology Medicine disc, PubMed, Web of Science, Embase and Clinical Trial Registration Center. The search period was from the establishment of the database to January 2024. Two researchers independently screened the literature, extracted information based on inclusion and exclusion criteria, and finally categorized and reported the findings.Results:A total of 33 papers were included. In elderly stroke patients, the prevalence of malnutrition varied between studies. There was a wide range of tools to assess the nutritional status of patients, but there was an overall lack of multidimensional and specific tools. Commonly used was the Short-form Mini-nutritional Assessment. Factors influencing malnutrition in patients included general demographic, disease-related and lifestyle factors, physiologic and biochemical indicators, functional correlates, nutrient literacy-related factors, psychological and supportive factors.Conclusions:Malnutrition in elderly stroke patients is influenced by a variety of factors and seriously affects patient prognosis. Standardized assessment tools should be adopted to detect timely and accurately, take targeted measures for each factor, and carry out personalized intervention programs to promote benign changes in the nutritional status of elderly stroke patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.

Objective To compare the effect of small optical zone orthokeratology lenses(OK lenses)and repeated low-level red-light(RLRL)therapy in controlling myopia progression for adolescents,and the therapeutic effectiveness of RLRL is evaluated.Methods A retrospective analysis was conducted on the clinical data of 80 adolescent myopic patients in the First Affiliated Hospital of Army Medical University.The patients were divided into the RLRL group and the OK lenses group according to different intervention methods,with 40 cases in each group.Patients in the RLRL group received RLRL therapy combined with single-vision spectacles,and patients in the OK lenses group were treated with OK lenses.The changes of spherical equivalent(SE),axial length and subfoveal choroidal thickness(SFCT)1,3,6,and 12 months after treatment compared with the baseline,and color vision of patients were assessed.Based on the mean baseline axial length of the RLRL group,the patients in this group were subdivided into the short axial group and the long axial group,and the changes of the axial length and SFCT were further analyzed.Results The diopter 1,3,6,and 12 months after treatment in the RLRL group were not significantly different from the baseline(P>0.05).Axial lengths of patients in the RLRL group progressively shortened after treatment and returned close to the baseline 12 months after treatment.In contrast,axial lengths of patients in the OK lens continued to grow within 12 months after treatment;the axial lengths at each time point after treatment of patients in the two groups were significantly different from the baseline(P<0.05).The changes of axial length of patients in the RLRL group at each time point after treatment were significantly smaller than those in the OK lenses group(P<0.05).The SFCT changes of patients in the RLRL group at each time point after treatment were all greater than those in the OK lenses group(P<0.05).The SFCT at each time point after treatment in the RLRL group were significantly different from the baseline(P<0.05),whereas the SFCT at each time point after treatment in the OK lenses group were not significantly different from the baseline(P>0.05).The changes of axial length at each time point after treatment of patients in the long axial group were all greater than those in the short axial group(P<0.05);the SFCT changes 6 months after treatment of patients in the long axial group was greater than that in the short axial group(P<0.05);the SFCT at each time point after treatment of patients in the two groups were signifi-cantly different from the baseline(P<0.05).Color vision tests revealed no abnormities after treatment in the RLRL group and the OK lenses group.Conclusion RLRL therapy is effective in controlling myopia progression and demonstrates superior axial length control compared to orthokeratology lenses.

Objective:To conduct a scoping review on the current status, assessment tools and influencing factors of malnutrition in elderly stroke patients, so as to provide new ideas for the development of individualized nutritional intervention programs.Methods:Studies related to malnutrition in elderly stroke patients were searched in China National Knowledge Infrastructure, VIP, WanFang Data, China Biology Medicine disc, PubMed, Web of Science, Embase and Clinical Trial Registration Center. The search period was from the establishment of the database to January 2024. Two researchers independently screened the literature, extracted information based on inclusion and exclusion criteria, and finally categorized and reported the findings.Results:A total of 33 papers were included. In elderly stroke patients, the prevalence of malnutrition varied between studies. There was a wide range of tools to assess the nutritional status of patients, but there was an overall lack of multidimensional and specific tools. Commonly used was the Short-form Mini-nutritional Assessment. Factors influencing malnutrition in patients included general demographic, disease-related and lifestyle factors, physiologic and biochemical indicators, functional correlates, nutrient literacy-related factors, psychological and supportive factors.Conclusions:Malnutrition in elderly stroke patients is influenced by a variety of factors and seriously affects patient prognosis. Standardized assessment tools should be adopted to detect timely and accurately, take targeted measures for each factor, and carry out personalized intervention programs to promote benign changes in the nutritional status of elderly stroke patients.