ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective To develop a method for rapid determination of the dissolution of cefixime capsules,to explore the consistency of the dissolution curves of the generic and reference preparations in different media,and to assess the reliability of the in vitro dissolution evaluation method according to the results of bioequivalence studies.Methods The dissolution test was performed by the paddle method at 50 r·min-1,using pH1.2 hydrochloric acid solution,pH6.8 phosphate buffer solution,pH7.5 phosphate buffer solution,and water as the dissolution media.And a high-performance liquid chromatography(HPLC)method with a core-shell column was established to determine the dissolution curves of the generic and reference preparations respectively.The bioequivalence of the generic and reference preparations was evaluated through the bioequivalence(BE)test.Results The similarity factors(f2)of the three batches of the generic and reference preparations in the four media were greater than 60.The fasting and postprandial pharmacokinetic parameters(Cmax,AUC0-t,AUC0-∞)of the generic and reference preparations in hu-mans were all in line with the bioequivalence standard.Conclusion The in vitro dissolution behavior of the generic and refer-ence preparations was consistent,and the two preparations were bioequivalent.The method is simple and quick,and it can be em-ployed to measure the dissolution of cefixime capsules,which can provide references for the consistency evaluation of cefixime capsules.

Objective     To investigate the safety of thoracic surgery for high-altitude patients in local medical center. Methods    We retrospectively collected 258 high-altitude patients who received thoracic surgery in West China Hospital, Sichuan University (plain medical center, 54 patients) and People's Hospital of Ganzi Tibetan Autonomous Prefecture (high-altitude medical center, 204 patients) from January 2013 to July 2019. There were 175 males and 83 females with an average age of 43.0±16.8 years. Perioperative indicators, postoperative complications and related risk factors of patients were analyzed. Results    The rate of minimally invasive surgery in the high-altitude medical center was statistically lower than that in the plain medical center (11.8% vs. 55.6%, P<0.001). The surgical proportions of tuberculous empyema (41.2% vs. 1.9%, P<0.001) and pulmonary hydatid (15.2% vs. 0.0%, P=0.002) in the high-altitude medical center were statistically higher than those in the plain medical center. There was no statistical difference in perioperative mortality (0.5% vs. 1.9%, P=0.379) or complication rate within 30 days after operation (7.4% vs. 11.1%, P=0.402) between the high-altitude center and the plain medical center. Univariate and multivariate analyses showed that body mass index≥ 25 kg/m2 (OR=8.647, P<0.001) and esophageal rupture/perforation were independent risk factors for the occurrence of postoperative complications (OR=15.720, P<0.001). Conclusion    Thoracic surgery in the high-altitude medical center is safe and feasible.

Objective:To compare the diagnostic value of three quantitative evaluation methods based on three-dimensional rapid fluid attenuation inversion recovery sequence (3D-FLAIR) vein-enhanced labyrinth images in endolymphatic hydrops.Methods:From October 2017 to April 2019, a retrospective study was conducted on 86 patients with unilateral otogenic vertigo who were admitted to Beijing Tongren Hospital, Capital Medical University. MRI was performed 8 h after the single-dose Gd-DTPA intravenously injection in all patients. Three evaluation methods were used to calculate the ratio of the endolymphatic area to the total lymphatic area, the ratio of the saccule to utricle area, and the ratio of the endolymphatic volume to the total lymphatic volume, respectively. The paired t test was used to compare the three ratios between the affected and healthy ears. With clinical diagnosis as the gold standard, the receiver operating characteristic (ROC) curve analysis was used to analyze the efficacy of three methods in diagnosing endolymphatic hydrops. Results:Totally 65 cases were finally diagnosed endolymphatic hydrops clinically. There were statistically significant differences of all the 3 ratios between the affected and healthy ears ( t=9.93, 7.22, 8.20, all P<0.001). The ROC curve showed that the area under the curve (AUC) of endolymph/total lymph area ratio, saccule/utricle area ratio, endolymph/total lymph volume ratio for diagnosis of endolymphatic hydrops were 0.882, 0.768, 0.884 (all P<0.001). And there were no significant differences between each paired AUCs (all P>0.05). Conclusions:All three methods of endolymph/total lymph area ratio, saccule/utricle area ratio, endolymph/total lymph volume ratio can quantitatively evaluate endolymphatic hydrops. The endolymphatic/total lymphatic area ratio method is still the most convenient method at present.

Esophageal carcinoma is a malignant tumor with high morbidity and mortality worldwide, and surgery is the main treatment currently. With the development of patient-centered care, the effect of surgery should not be limited to the improvement of the incidence of postoperative complications, mortality and other indicators. It is also important to provide experience related to disease and surgery from the perspective of patients. Therefore, more and more attention is paid to patient-reported outcomes by scholars. This paper will provide an overview of the international widely used, reliable and effective scales and researches about patient-reported outcomes in esophageal carcinoma.

Objective:To explore the changes of brain network functional connection in neonates with different degrees of hypoxic-ischemic encephalopathy(HIE), and to understand its influence on brain function.Methods:Clinical data of full-term HIE children hospitalized in Neonatology Department of Changzhou Children's Hospital from January 2017 to May 2020 were collected by convenient sampling method. A total of 44 cases were scanned by conventional and functional magnetic resonance image.Twenty-four of them met the inclusion criteria, including 11 mild patients (PT1 group) and 13 moderate and severe patients (PT2 group). The amplitude of low frequency fluctuation (ALFF) was used to compare the differences of ALFF values between PT1 group and PT2 group, and the differences of functional connectivity (FC) between PT1 group and PT2 group were compared by the method of brain network connectivity analysis.Results:In the edge analysis, compared with the PT1 group, the FC of the right supplementary motor area and the right precentral gyrus ( Z1=0.39, Z2 =-0.08), the right lingual gyrus and the right hippocampus ( Z1=0.61, Z2=0.20), the left calcarine cortex and the right amygdala ( Z1=0.30, Z2=-0.02), the right pallidus and the right posterior cingulate cortex ( Z1=0.33, Z2=0.05) were decreased in the PT2 group (all P<0.001, uncorrected). In ALFF analysis, there was no significant difference between PT1 group and PT2 group ( P>0.05, FDR adjusted). Conclusion:There are changes in functional connections in some brain regions in children with moderate and severe HIE.These functional connections are related to motor function, emotional processing, language development, cognitive function, learning and memory, etcetera.

Objective     To identify the risk factors for postoperative recurrence of peripheral solid small-nodule lung cancer (PSSNLC) (T≤2 cm), and to explore the effects of surgery types on prognosis. Methods     We extracted data from Western China Lung Cancer Database (WCLCD), a prospectively maintained database at the Department of Thoracic Surgery, West China Hospital, Sichuan University, and Surveillance, Epidemiology, and End Results (SEER)  database for peripheral solid small-nodule lung cancer patients (T≤2 cm N0M0, stageⅠ) who underwent surgery between 2005 and 2016. We used univariable and multivariable logistic regression to analyze risk factors for recurrence of PSSNLC. We applied propensity-score matching to compare the long-term results of segmentectomy and lobectomy, as well as the survival of patients from WCLCD and SEER. We finally included 4 800 patients with PSSNLC (T≤2 cm N0M0)(WCLCD: SEER=354∶4 446). We matched 103 segmentectomies and 350 lobectomies in T≤1 cm, and 280 segmentectomies and 1 067 lobectomies in 1 cm