Objective:To investigate the predictive value of conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images for the efficacy of neoadjuvant therapy in triple negative breast cancer（TNBC），and to construct a combined model.Methods:A total of 122 patients diagnosed with TNBC and admitted to Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University between April 2020 and December 2023 were retrospectively selected as study subjects. All patients underwent surgical resection after neoadjuvant therapy and were categorized into two groups：50 cases in the pathological complete remission（pCR）group and 72 cases in the non-pCR group according to surgical pathology. A comprehensive array of clinical data，along with conventional ultrasound imaging findings，was systematically collected from patients prior to treatment and at the conclusion of the second cycle of treatment. The region of interest（ROI）was delineated on the baseline two-dimensional gray-scale ultrasound image using 3D Slicer software on the maximum long-axis section of the lesion. The peri-tumor area was obtained by circularly expanding outward by 5 mm，and the imaging histological features were extracted separately. The dataset was then randomly partitioned into a training set and a validation set，with a ratio of 7∶3. The χ2/ t/Mann-Whitney U tests were used for intergroup comparison of general information. Maximum correlation minimum redundancy and least absolute shrinkage and selection operator regression were used to screen the optimal radiomics feature set，respectively. Variables that exhibited statistically significant differences between group comparisons were then employed to construct combined models，incorporating intratumor and peritumor ultrasonographic models. The predictive efficacy，accuracy，and clinical utility of the models were assessed using ROC curves，calibration curves，and decision curve analysis（DCA），respectively. Results:Subsequent between-group comparisons and multifactorial Logistic regression analysis identified blood flow（ OR=0.213，95% CI=0.062-0.735）and change rate of length diameter（ OR=1.091，95% CI=1.013-1.175）as independent risk factors for predicting pCR. A total of seven and eight radiomics features from each of the intratumoral and peritumoral regions were screened for the construction of intratumoral imaging histology score（RS）and peritumoral RS. The Nomogram model was constructed by combining the blood flow，change rate of length diameter，intratumoral RS，and peritumoral RS，and its AUC values in the training and validation sets were 0.884（95% CI=0.815-0.953）and 0.841（95% CI=0.683-0.940），respectively. The calibration curves demonstrated the Nomogram model's exceptional precision，with a C-index of 0.860 and 0.782 for the training and validation sets，respectively. The DCA revealed that the Nomogram model exhibited the optimal net clinical benefit. Conclusions:Conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images have been shown to possess satisfactory predictive value for the efficacy of neoadjuvant therapy in TNBC，thereby facilitating clinical decision-making.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

Objective To explore the relationship between pathogenic microorganism types,age and season in 2 188 children with respiratory tract infections.Methods A total of 2 188 children with respiratory tract in-fections admitted to the Department of Pediatrics,962 Hospital,Joint Logistic Support Force of PLA from June 2023 to May 2024 were selected as the study subjects.Targeted next generation sequencing(tNGS)tech-nology was used to detect 107 common pathogenic microorganism in children with respiratory tract infections,including Haemophilus influenzae,rhinovirus,Moraxella catarrhalis,Mycoplasma pneumoniae,Staphylococcus aureus,Streptococcus pneumoniae,human parainfluenza virus,human respiratory syncytial virus,etc.The re-spiratory tract infection situation and epidemiological characteristics of children in Harbin were analyzed.Re-sults Among 2 188 pediatric patients,98.5%(2 156/2 188)tested positive for pathogenic microorganism,with Haemophilus influenzae accounting for the highest proportion of 33.5%(732/2 188),followed by rhino-virus of 25.0%(547/2 188)and Moraxella catarrhalis of 24.8%(543/2 188).The positive rates of Hae-mophilus influenzae and human adenovirus in male children were higher than those in female children(P<0.05),while there were no statistically significant differences in the positive positive rates of other pathogenic microorganism between male and female children(P>0.05).Except for human adenovirus and influenza A virus,which showed no statistically significant differences in positive rates among different age groups(P>0.05),there were statistically significant differences in the positive rates of other pathogenic microorganism a-mong different age groups(P<0.05).The positive rates of pathogenic microorganism in preschool children were relatively high.There were no statistically significant differences in the positive rates of Streptococcus and Staphylococcus aureus in different seasons(P>0.05),while there were statistically significant differences in the positive rates of other pathogenic microorganism in different seasons(P<0.05).The positive rates of Haemophilus influenzae,Streptococcus pneumoniae,human metapneumovirus,human parainfluenza virus and SARS-Cov-2 were the highest in summer(P<0.05).Conclusion 2 188 children with respiratory tract infec-tions were mainly caused by pathogenic microorganism such as Haemophilus influenzae,rhinovirus,and Moraxella catarrhalis,etc.Preschool children is a susceptible group,and the prevalence of pathogenic microor-ganism varies seasonally.In clinical practice,relevant prevention and control measures should be developed based on this characteristic to reduce the incidence of diseases.

Objective:To evaluate the diagnostic value of multimodal Nomogram model combining 18F-FDG PET/CT and ultrasound for triple negative breast cancer (TNBC) . Methods:A total of 61 breast cancer patients admitted at Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School from November 2016 to May 2024 were selected as the study subjects, including 12 cases of TNBC and 49 cases of non-TNBC. 18F-FDG PET/CT metabolic parameters maximum standardized uptake value (SUV max), mean standardized uptake value (SUV mean), minimum standardized uptake value (SUV min), tumor metabolic volume (MTV), and total lesion glycolysis (TLG), as well as the ultrasound parameters long diameter, short diameter, echogenicity, morphology, boundaries, posterior echogenicity, aspect ratio, microcalcifications, blood flow grading and Breast Imaging Reporting and Data System (BI-RADS) grading were compared between patients with and without TNBC. Least absolute shrinkage and selection operator (LASSO) regression was used for feature screening, and binary multivariate logistic regression analysis was conducted on the screened variables to obtain the independent influencing factors for diagnosing TNBC. The independent factors influencing the diagnosis of TNBC were established as Nomogram model and visualized. Receiver operator characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) were used to evaluate the diagnostic efficacy, accuracy and clinical practicability of the model, respectively. Results:There were statistically significant differences in SUV max ( Z=-2.43, P=0.015), SUV mean ( Z=-2.54, P=0.011), morphology ( P=0.004), boundaries ( χ2=4.86, P=0.028), posterior echogenicity ( P=0.027), and blood flow grading ( χ2=4.52, P=0.034) between TNBC and non-TNBC patients. LASSO regression screened out three variables: SUV max, morphology and blood flow grading. Multivariate analysis showed that, SUV max ( OR=1.20, 95% CI: 1.04-1.38, P=0.012), morphology ( OR=0.02, 95% CI: 0.01-0.49, P=0.016), and blood flow grading ( OR=0.06, 95% CI: 0.01-0.74, P=0.028) were the independent influencing factors for diagnosing TNBC. A Nomogram model was established based on the above independent influencing factors. ROC curve showed that, area under the curve (AUC) of SUV max, morphology, blood flow grading, and the Nomogram model were 0.73 (95% CI: 0.60-0.83), 0.66 (95% CI: 0.52-0.77), 0.67 (95% CI: 0.54-0.79), 0.90 (95% CI: 0.79-0.96), respectively, and the diagnostic value of the Nomogram model was higher than that of SUV max ( Z=2.71, P=0.007), morphology ( Z=3.61, P<0.001), and blood flow grading ( Z=2.51, P=0.012) alone. Calibration curve and DCA showed better accuracy and clinical practicability of the Nomogram model. Conclusions:Nomogram model constructed by combining the SUV max of 18F-FDG PET/CT with the morphology and blood flow grading of ultrasound has a promising potential for diagnosing TNBC.

Objective:To investigate the predictive value of conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images for the efficacy of neoadjuvant therapy in triple negative breast cancer（TNBC），and to construct a combined model.Methods:A total of 122 patients diagnosed with TNBC and admitted to Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University between April 2020 and December 2023 were retrospectively selected as study subjects. All patients underwent surgical resection after neoadjuvant therapy and were categorized into two groups：50 cases in the pathological complete remission（pCR）group and 72 cases in the non-pCR group according to surgical pathology. A comprehensive array of clinical data，along with conventional ultrasound imaging findings，was systematically collected from patients prior to treatment and at the conclusion of the second cycle of treatment. The region of interest（ROI）was delineated on the baseline two-dimensional gray-scale ultrasound image using 3D Slicer software on the maximum long-axis section of the lesion. The peri-tumor area was obtained by circularly expanding outward by 5 mm，and the imaging histological features were extracted separately. The dataset was then randomly partitioned into a training set and a validation set，with a ratio of 7∶3. The χ2/ t/Mann-Whitney U tests were used for intergroup comparison of general information. Maximum correlation minimum redundancy and least absolute shrinkage and selection operator regression were used to screen the optimal radiomics feature set，respectively. Variables that exhibited statistically significant differences between group comparisons were then employed to construct combined models，incorporating intratumor and peritumor ultrasonographic models. The predictive efficacy，accuracy，and clinical utility of the models were assessed using ROC curves，calibration curves，and decision curve analysis（DCA），respectively. Results:Subsequent between-group comparisons and multifactorial Logistic regression analysis identified blood flow（ OR=0.213，95% CI=0.062-0.735）and change rate of length diameter（ OR=1.091，95% CI=1.013-1.175）as independent risk factors for predicting pCR. A total of seven and eight radiomics features from each of the intratumoral and peritumoral regions were screened for the construction of intratumoral imaging histology score（RS）and peritumoral RS. The Nomogram model was constructed by combining the blood flow，change rate of length diameter，intratumoral RS，and peritumoral RS，and its AUC values in the training and validation sets were 0.884（95% CI=0.815-0.953）and 0.841（95% CI=0.683-0.940），respectively. The calibration curves demonstrated the Nomogram model's exceptional precision，with a C-index of 0.860 and 0.782 for the training and validation sets，respectively. The DCA revealed that the Nomogram model exhibited the optimal net clinical benefit. Conclusions:Conventional ultrasound，intratumoral and peritumoral radiomics models based on ultrasound images have been shown to possess satisfactory predictive value for the efficacy of neoadjuvant therapy in TNBC，thereby facilitating clinical decision-making.

Objective:To explore the predictive value of ultrasonic shear wave elastography (SWE) parameters and pathological characteristics on the status of human epidermal growth factor receptor 2 (HER2), which is difficult to be determined by immunohistochemistry (IHC) in breast cancer, and to construct a nomogram model.Methods:A retrospective case-control study was conducted. One hundred and fifteen cases of breast cancer diagnosed and treated in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from September 2018 to April 2022 were selected, and their HER2 was evaluated as IHC 2+; the HER2 expression status was determined by fluorescence in situ hybridization (FISH) detection, including 23 HER2 positive cases and 92 HER2 negative cases. The ultrasound SWE parameters [including maximum shear wave velocity (V max), mean shear wave velocity (V mean), median shear wave velocity (V median), minimum shear wave velocity (V min)] and clinicopathological characteristics between HER2 positive and negative groups were compared. The variables with statistically significant differences ( P < 0.05) between groups were included in a multivariate logistic regression model, the independent risk factors for HER2 positivity were screened, and a nomogram model was constructed based on these independent risk factors. With the FISH test results as the gold standard, the efficacy of nomogram in judging HER2 positivity in breast cancer which was difficult to be identified by IHC was evaluated with the receiver operating characteristic (ROC) curve; the accuracy and clinical net benefit of the nomogram model were evaluated using calibration curve and decision curve analysis (DCA), respectively. Results:The patients were all female, aged (56±13) years, ranging from 30 to 88 years old. V max [ M ( Q1, Q3)] [8.54 (7.38, 9.47) m/s vs. 6.46 (5.07, 8.42) m/s], V mean [(5.41±0.78) m/s vs. (4.53±1.22) m/s], V median [5.06 (4.48, 5.52) m/s vs. 4.35 (3.42, 4.96) m/s], V min [3.35 (2.68, 3.88) m/s vs. 2.59 (2.11, 3.34) m/s], the proportion of patients with axillary lymph node metastasis [56.5% (13/23) vs. 22.8% (21/92)], and the Ki-67 positivity index [35% (30%, 55%) vs. 25% (15%, 35%)] in the HER2 positive group were higher than those in the HER2 negative group, and the differences were statistically significant (all P < 0.05); There was no statistically significant difference in age, lesion location, pathological type, vascular invasion, nerve invasion and long diameter, short diameter, echo, regular shape, clear boundary, posterior echo, calcification, blood flow grading, Breast Imaging Report and Data System (BI-RADS) classification detected by ultrasound between the two groups (all P > 0.05). Multivariate logistic regression analysis showed that increased ultrasound V max ( OR = 1.786, 95% CI: 1.283-2.485, P = 0.001) and axillary lymph node metastasis ( OR = 4.185, 95% CI: 1.327-13.197, P = 0.015) and elevated Ki-67 positivity index ( OR = 1.042, 95% CI: 1.014-1.071, P = 0.003) were independent risk factors for HER2 positivity. ROC curve analysis showed that the area under the curve (AUC) of HER2 positive breast cancer which was difficult to be determined by IHC was 0.816 (95% CI: 0.732-0.883), that was higher than 0.712 (95% CI: 0.620-0.794) of V max, 0.601 (95% CI: 0.504-0.692) of axillary lymph node metastasis and 0.706 (95% CI: 0.613-0.788) of Ki-67 positivity index based on the nomogram constructed by the above independent risk factors, with statistically significant differences (all P < 0.05). The calibration curve showed that the predicted probability of the nomogram model was close to the actual probability, and DCA indicated that the clinical net benefit of the model was good. Conclusions:The nomogram constructed based on ultrasonic SWE parameter V max, axillary lymph node metastasis and Ki-67 positivity index has a good predictive effect on HER2 status of breast cancer which is difficult to be determined by IHC.

In order to promote the innovative application of Sanjiao theory and Yingwei theory， this paper tries to apply the ''Sanjiao-Yingwei'' Qi transformation theory to the treatment of tumor diseases， integrating it with T cell exhaustion mechanism to elaborate on its scientific connotation and using network pharmacology and bioinformatics to elucidate the correlation between the anti-tumor mechanism of ''Sanjiao-Yingwei'' Qi transformation and T cell exhaustion. The ''Sanjiao-Yingwei'' Qi transformation function is closely related to the immunometabolic ability of the human body， and the ''Sanjiao-Yingwei'' Qi transformation system constitutes the immunometabolic exchange system within and outside the cellular environment. Cancer toxicity is generated by the fuzzy Sanjiao Qi， and the long-term fuzzy Sanjiao Qi is the primary factor leading to T cell exhaustion， which is related to the long-term activation of T cell receptors by the high tumor antigen load in the tumor microenvironment. Qi transformation malfunction of the Sanjiao produces phlegm and collects stasis， which contributes to T cell exhaustion and is correlated with nutrient deprivation， lipid accumulation， and high lactate levels in the immunosuppressed tumor microenvironment， as well as with the release of transforming growth factor-β and upregulated expression of programmed death receptor-1 by tumor-associated fibroblasts and platelets in the tumor microenvironment. Ying and Wei damage due to Sanjiao Qi transformation malfunction is similar to the abnormal manifestations such as progressive loss of exhausted T cell effector function and disturbance of cellular energy metabolism. Guizhi decoction， Shengming decoction， and Wendan decoction can correct T cell exhaustion and exert anti-tumor effects through multi-target and multi-pathways by regulating ''Sanjiao-Yingwei'' Qi transformation， and hypoxia inducible factor-1α （HIF-1α） may be one of the main pathways to correct T cell exhaustion. It was found that HIF-1α may be one of the important prognostic indicators in common tumors by bioinformatics. The use of the ''Sanjiao-Yingwei'' Qi transformation method may play an important part in improving the prognosis of tumor patients in clinical practice.

Objective To evaluate MRI and clinicopathological prognostic factors in predicting disease-free survival(DFS)of stage ⅢC1p cervical cancer patients.Methods A total of 102 stage ⅢC1p cervical cancer patients who underwent surgical treatment were selected.Based on survival status,stage ⅢC1p cases were divided into two subgroups:progression group and no progression group.The influencing factors of clinicopathological indexes and MRI features on prognosis in the two groups were analyzed.Results The results of the univariate analysis showed that squamous cell carcinoma antigen(SCC-Ag)level,T stage and location of lymph node metastasis(LNM)were correlated with the prognosis of stage ⅢC1p cervical cancer patients(P<0.05).Multivariate analysis results showed that late T stage,SCC-Ag>13 ng/mL,and LNM location≥3 were the high risk factors affecting the 3-year DFS decline in stage ⅢC1p cervical cancer patients.Conclusion SCC-Ag,T stage,and LNM location are independent risk factors for 3-year DFS in stage ⅢC1p cervical cancer patients.

Objective To measure vaginal wall parameters including vaginal wall thickness,length and number of rugae in normal childbearing period women using transrectal biplane high-frequency ultrasonography,and to establish normal reference ranges of the above indexes.Methods Totally 245 normal childbearing period female volunteers were prospectively recruited.The thickness and length of vaginal wall were measured,and number of rugae were counted with transrectal biplane high-frequency ultrasound,and the normal reference ranges were established.The correlations of the above indexes with age,height,body mass and body mass index(BMI)were explored.Results The thickness and length of vaginal wall was(7.50-16.20)mm(95％CI[11.43,11.92]mm)and(3.30-7.61)cm(95％CI[5.35,5.74]cm),respectively,and number of rugae was 5.00±15.00(95％CI[8.42,9.13]).Both the length of vaginal wall and the number of rugae were negatively correlated with age(r=-0.145,-0.178;P=0.024,0.005),while the thickness of vaginal wall was not obviously correlated with age,height,body mass and BMI of normal childbearing period women(all P＞0.05).Conclusion The normal reference ranges of the thickness and length of vaginal wall,as well as the number of rugae in normal childbearing period established women obtained with transrectal biplane high-frequency ultrasonography could provide references for clinical assessment of vaginal condition.

Objective:To investigate the value of ultrasonography in diagnosis of transposition of great arteries of the fetus at 11-13 + 6 weeks gestation. Methods:A prospective study was conducted on fetuses screened by ultrasound in the first trimester in Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2015 and March 2022. Fetal heart structure was screened by three-section screening method. Fetuses with suspected transposition of the great arteries at 11-13 + 6 weeks gestation underwent followed-up ultrasound examination, chromosome and gene test results. The ultrasound characteristics and prognosis pregnancy outcomes were summarized. Results:Twenty-one cases of transposition of the great arteries were detected by ultrasonography, including complete transposition of great arteries (20 cases) and congenitaly corrected transposition of the great arteries (1 case). Two cases were miss diagnosed. Twenty-one cases showed parallel signs of two major arteries on grayscale outflow section at 11-13 + 6 weeks gestation. There were 6 cases with aneuploid ultrasonographic soft markers abnormality, 2 cases with extracardiac malformation. Chromosome and microarray analysis were performed in 13 cases. 4 cases with chromosomal abnormality. Four cases of chromosomal abnormalities were associated with ultrasonographic soft markers abnormality, and 1 case with extracardiac malformation.In the 23 cases, 20 cases were induced, 1 miscarried, and 2 delivered to term. Among the fetuses delivered at term, 1 case died before neonatal operation and 1 case survived. Conclusions:Standardized ultrasound scan at 11-13 + 6 weeks has high accuracy in diagnosis of transposition of the great arteries. And the incidence of chromosomal abnormality is high with ultrasonographic soft markers abnormality or extracardiac malformation.