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 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:This study aims to investigate the relationship between high-risk human papillomavirus (HR-HPV) infection and the composition of vaginal microecology. It will analyze the efficacy of integrated traditional Chinese and Western medicine intervention in treating HR-HPV infection, as well as the effects of this combined approach on vaginal microecology. Additionally, the study seeks to identify new methods to inhibit the malignant progression of cervical intraepithelial lesions.Methods:A prospective study was conducted involving 100 patients with HR-HPV infection who visited the Department of Gynecology, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine from April to June 2023. The participants were randomly divided into a control group and an observation group, with 50 patients in each group using a random number table method. The control group received interferon treatment, while the observation group was treated with a combination of interferon and Yanfukang Lotion. High-throughput DNA sequencing of vaginal secretions was conducted to compare the differences in pre- and post-treatment vaginal microecological composition and the rate of HR-HPV clearance between the two groups. Results:In the observation group, both the diversity index and the abundance of vaginal microecology showed significant improvements compared with the control group, particularly in the abundance of dominant Lactobacillus species. These differences were statistically significant ( R = 0.124, 0.304, 0.030, all P < 0.05). The rates of HR-HPV clearance and overall effective rate (clearance + effective) in the observation group were 44% (22/50) and 68% (34/50), respectively, which were significantly higher than those in the control group [20% (10/50), 32% (16/50), χ2 = 12.98, both P < 0.05). There was no statistically significant difference in the incidence of adverse reactions between the two groups (χ2 = 1.76, P > 0.05). Conclusion:The combination of interferon and Yanfukang Lotion effectively treats HR-HPV infection by regulating the composition of vaginal microecology. This approach shows considerable efficacy and good safety, indicating its potential for further clinical application.

Objective:This study aims to investigate the relationship between high-risk human papillomavirus (HR-HPV) infection and the composition of vaginal microecology. It will analyze the efficacy of integrated traditional Chinese and Western medicine intervention in treating HR-HPV infection, as well as the effects of this combined approach on vaginal microecology. Additionally, the study seeks to identify new methods to inhibit the malignant progression of cervical intraepithelial lesions.Methods:A prospective study was conducted involving 100 patients with HR-HPV infection who visited the Department of Gynecology, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine from April to June 2023. The participants were randomly divided into a control group and an observation group, with 50 patients in each group using a random number table method. The control group received interferon treatment, while the observation group was treated with a combination of interferon and Yanfukang Lotion. High-throughput DNA sequencing of vaginal secretions was conducted to compare the differences in pre- and post-treatment vaginal microecological composition and the rate of HR-HPV clearance between the two groups. Results:In the observation group, both the diversity index and the abundance of vaginal microecology showed significant improvements compared with the control group, particularly in the abundance of dominant Lactobacillus species. These differences were statistically significant ( R = 0.124, 0.304, 0.030, all P < 0.05). The rates of HR-HPV clearance and overall effective rate (clearance + effective) in the observation group were 44% (22/50) and 68% (34/50), respectively, which were significantly higher than those in the control group [20% (10/50), 32% (16/50), χ2 = 12.98, both P < 0.05). There was no statistically significant difference in the incidence of adverse reactions between the two groups (χ2 = 1.76, P > 0.05). Conclusion:The combination of interferon and Yanfukang Lotion effectively treats HR-HPV infection by regulating the composition of vaginal microecology. This approach shows considerable efficacy and good safety, indicating its potential for further clinical application.

Objective:To analyze the impact of implementing regular supervision and communication based on employee needs in the management of head nurses on improving the nursing practice environment, for reference for improving the nursing proctice environment.Methods:In December 2020 and January 2022, convenience sampling method was used to select 5 nursing unit nurses from a hospital which implemented regular supervision and communication based on employee needs(January to December 2021) as the research subjects. The survey was conducted using the Gallup Q12 questionnaire(Q12 questionnaire), which included 12 items from 4 dimensions: basic needs, head nurse support, team cooperation, and self growth. At the same time, a focus group interview method was made to interviews 10 survey subjects regarding their regular supervision and communication experiences.Results:A total of 165 survey subjects were included in this study, including 77 before and 88 after the implementation.The average total score of the Q12 questionnaire increased from 53.75 points before implementation of supervision communication to 56.96 points after implementation, with a statistically significant difference( P<0.05). The scores of the four dimensions of basic needs, head nurse support, team collaboration, and self growth increased from 4.59 points, 4.41 points, 4.50 points, and 4.45 points before implementation to 4.84 points, 4.69 points, 4.75 points, and 4.75 points after implementation, with statistical significances( P<0.05). The interview results showed that supervisory communication can create a humanistic care atmosphere, enhance team cohesion, enhance self-efficacy, improve work efficiency, solve problems in a timely manner, and improve nursing quality. Conclusions:Implementing regular supervision and communication based on employee needs can strengthen the connection between the head nurse and nurses, and enhance nurses′ recognition of basic needs, head nurse support, teamwork, and self growth. It was conducive to creating a good nursing practice environment, meeting the emotional and growth needs of nurses, and improving their job satisfaction.

Objective:To investigate the clinicopathological characteristics and 18F-fluorodeoxyglucose (FDG) PET/CT imaging features of bronchopulmonary neuroendocrine tumors(BP-NETs) with different pathological subtypes. Methods:From January 2013 to May 2018, 280 patients (196 males, 84 females, median age 58 years) with BP-NETs proved by pathology in Henan Provincial People′s Hospital were retrospectively analyzed. Age, gender, smoking history, the location and size of tumor, Ki-67 positive index, thyroid transcription factor-1 (TTF-1), synaptophysin (Syn), chromogranin-A (CgA), CD56, maximum standardized uptake value (SUV max), lymph node metastasis and distant metastasis were compared among 4 pathological subtypes of BP-NETs, including typical carcinoid (TC), atypical carcinoid (AC), small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). One-way analysis of variance, χ2 test, Fisher exact test and Kruskal-Wallis rank sum test were used for data analysis. Results:There were significant differences in age, smoking history, tumor size and location, Ki-67 positive index, CgA, CD56, TTF-1, SUV max and TNM stage among TC( n=59), AC( n=21), SCLC( n=184) and LCNEC ( n=16) groups ( F values: 2.067, 3.358, H values: 17.749-22.351, all P<0.05). SCLC had the largest tumor size (5.5(3.0, 6.8) cm) and the highest proportion of central type (85.3%, 157/184), and were more prone to lymph node metastasis. LCNEC had the oldest age ((66±16) years), the largest proportion of smoking history (14/16) and peripheral type (12/16). CD56 in SCLC (95.7%, 176/184) and LCNEC(15/16) mostly showed positive expression, while the positive expression rates of CgA and TTF-1 were higher in TC and AC (96.6%(57/59), 93.2%(55/59) and 95.2%(20/21), 90.5%(19/21), respectively). The Ki-67 positive index and SUV max of the four subtypes were significantly different, with the highest in SCLC group and the lowest in TC group. Conclusion:Different pathological subtypes of BP-NETs manifest different clinicopathological features and imaging presentation on 18F-FDG PET/CT, which are useful for understanding their characteristics.

OBJECTIVE： To establish the fingerprint of Maizao yishen granules， and to provide scientific basis for its further development. METHODS： HPLC method was adopted to establish the fingerprint by using 10 batches of Maizao yishen granules sa samples. The determination was performed on Venusil XBP C18（L） column with mobile phase consisted of acetonitrile-0.2％ phosphoric acid （gradient elution） at the flow rate of 1→0.7 mL/min at 7-10 min， 0.7→1 mL/min at 10-15 min and 1 mL/min at the rest of time. The detection wavelengths were set at 284 nm （0-7 min）， 330 nm （7-32 min） and 360 nm （32-45 min）. The column temperature was 25 ℃， and sample size was 10 μL. The fingerprint of Maizao yishen granules was established， and the similarity evaluation was performed by using “Similarity Evaluation System of TCM Chromatographic Fingerprints” （2004 A edition） software. Then， the common peaks were assigned and identified by comparing reference substance and control medicinal materials. RESULTS： The precision， stability （24 h） and repeatability of the methodological investigation were all good [RSD values of relative retention time and relative peak area of each chromatographic peak were less than 3％ （n＝6）]. The similarity of 10 batches of samples were all above 0.900. Seventeen common peaks were identified， of which common peak 1 and 6 came from Semen Raphani； common peak 7， 9， 14， 15 and 16 from Citrus reticulata； common peak 5， 10， 11， 12 and 13 came from Glycyrrhiza uralensis； common peak 2 came from C. reticulata， G. uralensis and Ziziphus jujuba； peak 3 came from G. uralensis and Semen Raphani； peak 8 came from Hordeum vulgare and Semen Raphani； peak 4 and 17 came from C. reticulata and G. uralensis. Peak 1 was identified as hesperidin and the peak 9 was identified as sinapine. CONCLUSIONS： Established fingerprint of Maizao yishen granules is accurate and reliable， and can be used for quality control of Maizao yishen granules.

The various advantages of organic polymer monoliths, including relatively simple preparation processes, abundant monomer availability, and a wide application range of pH, have attracted the attention of chromatographers. Organic polymer monoliths prepared by traditional methods only have macropores and mesopores, and micropores of less than 50 nm are not commonly available. These typical monoliths are suitable for the separation of biological macromolecules such as proteins and nucleic acids, but their ability to separate small molecular compounds is poor. In recent years, researchers have successfully modified polymer monoliths to achieve uniform compact pore structures. In particular, microporous materials with pores of 50 nm or less that can provide a large enough surface area are the key to the separation of small molecules. In this review, preparation methods of polymer monoliths for high-per-formance liquid chromatography, including ultra-high cross-linking technology, post-surface modifica-tion, and the addition of nanomaterials, are discussed. Modified monolithic columns have been used successfully to separate small molecules with obvious improvements in column efficiency.

Objective To evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) uhrasonographic stratification and 3D contrast-enhanced ultrasonography (3D-CEUS) in identifying malignant lesions from benign ovarian masses.Methods Both of 2D ultrasound (2D-US) and 3D-CEUS were performed on 102 patients with ovarian masses.The perfusion characteristics of ovarian masses were observed with 3D-CEUS,and the 2D-US features of ovarian masses were analyzed based on GI-RADS.Simple and multiple Logistic regression analysis were used to investigate whether the independent risk predictors in differential diagnosis of benign and malignant ovarian could be confirmed.In addition,ROC curves were drawn.The diagnostic efficacy of GI-RADS combined with 3D-CEUS scoring system was evaluated and compared with that of only GI-RADS.Results Simple and multiple Logistic regression analysis confirmed that there were 8 independent predictors of malignant masses,including large papillary projections (≥7 mm),separated or wall thickness ≥3 mm,central blood flow,the proportion of solid part ≥50％,combination of ascites,high level enhancement,uneven distribution of contrast media in enhanced solid part and the vascular with characteristics as dense,tortuous and anfractuous.When using 4 points as the cut-off,the area under the curve (AUC) of GI-RADS combined with 3D-CEUS scoring system in identifying malignant ovarian masses was 0.969,higher than that of only GI-RADS (0.839;Z=1.64,P=0.029).Furthermore,the scoring system showed higher sensitivity,specificity,positive predictive value,negative predictive value and accuracy (all P＜0.001).Conclusion The combination of GI-RADS with 3D-CEUS can be more effective to distinguish malignant lesions from benign ovarian masses.