Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective:To develop a quality control model for anal sphincter ultrasound images and validate its diagnostic performance across multiple centers.Methods:A retrospective analysis was conducted on anal sphincter ultrasound images from seven medical centers in China between May 2019 and June 2022. A total of 7 040 images from 3 116 patients were included and divided into a training set（4 912 images）and a validation set（2 128 images）. The images were classified as standard or non-standard images by three experts. Three models were developed based on different image feature extraction methods：a single-branch model，a multi-branch weighted model，and a multi-branch ensemble model. The diagnostic performance of each model was evaluated using the area under the ROC curve（AUC），sensitivity，specificity，accuracy，positive predictive value，and negative predictive value，respectively. The optimal model was selected and compared with the performance of 4 doctors with varying experience levels. Sixty days later，the images with the assistance of the model's output were reassessed by the doctors to evaluate its impact on manual quality control.Results:① Among the 3 models，the multi-branch ensemble model demonstrated the highest AUC and sensitivity，with an AUC of 0.966（95% CI=0.958 - 0.974），a sensitivity of 91.83%，and a specificity of 91.41%. This model was named M quality. ② M quality's AUC was slightly lower than that of Senior A and B（0.966 vs. 0.976，0.976，and P<0.05），its sensitivity was slightly lower than that of Senior A（91.83% vs. 95.61%， P<0.001）but comparable to Senior B（91.83% vs. 92.89%， P=0.315），its specificity was slightly lower than Senior A and B（91.41% vs. 94.44%，98.18%，and P<0.05）. However，M quality significantly outperformed Junior A and B in AUC and sensitivity（AUC：0.966 vs. 0.850，0.818；sensitivity：91.83% vs. 84.90%，61.46%；all P<0.001），its specificity was higher than that of Junior A（91.41% vs. 80.28%， P<0.001）but lower than that of Junior B（91.41% vs. 95.96%， P<0.001）. ③ With model assistance，Senior B's sensitivity（92.89% vs. 94.20%， P=0.001）and Senior A's specificity（94.44% vs. 96.56%， P<0.001）improved significantly. Junior A and B showed significant improvements in AUC and sensitivity（AUC：0.931 vs. 0.850，0.914 vs. 0.818；sensitivity：91.83% vs. 84.90%，89.53% vs. 61.46%；all P<0.001）. After model assistance，Junior A's specificity increased（93.62% vs. 80.28%， P<0.001），while Junior B's specificity decreased（91.60% vs. 95.96%， P=0.013）. Conclusions:This study develops a quality control model for anal sphincter ultrasound images with robust diagnostic performance，approaching the level of seniors. The model significantly enhances the image quality assessment capabilities of juniors，demonstrating promising clinical application potential.

Objective:To develop a quality control model for anal sphincter ultrasound images and validate its diagnostic performance across multiple centers.Methods:A retrospective analysis was conducted on anal sphincter ultrasound images from seven medical centers in China between May 2019 and June 2022. A total of 7 040 images from 3 116 patients were included and divided into a training set（4 912 images）and a validation set（2 128 images）. The images were classified as standard or non-standard images by three experts. Three models were developed based on different image feature extraction methods：a single-branch model，a multi-branch weighted model，and a multi-branch ensemble model. The diagnostic performance of each model was evaluated using the area under the ROC curve（AUC），sensitivity，specificity，accuracy，positive predictive value，and negative predictive value，respectively. The optimal model was selected and compared with the performance of 4 doctors with varying experience levels. Sixty days later，the images with the assistance of the model's output were reassessed by the doctors to evaluate its impact on manual quality control.Results:① Among the 3 models，the multi-branch ensemble model demonstrated the highest AUC and sensitivity，with an AUC of 0.966（95% CI=0.958 - 0.974），a sensitivity of 91.83%，and a specificity of 91.41%. This model was named M quality. ② M quality's AUC was slightly lower than that of Senior A and B（0.966 vs. 0.976，0.976，and P<0.05），its sensitivity was slightly lower than that of Senior A（91.83% vs. 95.61%， P<0.001）but comparable to Senior B（91.83% vs. 92.89%， P=0.315），its specificity was slightly lower than Senior A and B（91.41% vs. 94.44%，98.18%，and P<0.05）. However，M quality significantly outperformed Junior A and B in AUC and sensitivity（AUC：0.966 vs. 0.850，0.818；sensitivity：91.83% vs. 84.90%，61.46%；all P<0.001），its specificity was higher than that of Junior A（91.41% vs. 80.28%， P<0.001）but lower than that of Junior B（91.41% vs. 95.96%， P<0.001）. ③ With model assistance，Senior B's sensitivity（92.89% vs. 94.20%， P=0.001）and Senior A's specificity（94.44% vs. 96.56%， P<0.001）improved significantly. Junior A and B showed significant improvements in AUC and sensitivity（AUC：0.931 vs. 0.850，0.914 vs. 0.818；sensitivity：91.83% vs. 84.90%，89.53% vs. 61.46%；all P<0.001）. After model assistance，Junior A's specificity increased（93.62% vs. 80.28%， P<0.001），while Junior B's specificity decreased（91.60% vs. 95.96%， P=0.013）. Conclusions:This study develops a quality control model for anal sphincter ultrasound images with robust diagnostic performance，approaching the level of seniors. The model significantly enhances the image quality assessment capabilities of juniors，demonstrating promising clinical application potential.

ObjectiveTo establish a quantitative analysis multi-components by single marker method （QAMS） for five main components （aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin） in Eucommiae Folium， to verify its feasibility and applicability in the determination of Eucommiae Folium， so as to provide a scientific basis for the development of quality standard of this herb. MethodHigh performance liquid chromatography was performed on a Welch Boltmatetm™ C₁₈ column （4.6 mm×100 mm， 2.7 μm） with methanol （A）-0.2% phosphoric acid aqueous solution （B） as the mobile phase for gradient elution （0-8 min， 3%A； 8-10 min， 3%-11%A； 10-26 min， 11%A； 26-27 min， 11%-25%A； 27-60 min， 25%-32%A）， the column temperature was set at 30 ℃， the flow rate was 0.6 mL·min^-1， the detection wavelengths were at 210 nm and 254 nm. Chlorogenic acid was used as an internal reference to establish the relative correction factors （f） between it and the other four components， and the contents of the five components in 14 batches of Eucommiae Folium were determined by QAMS and external standard method （ESM）， respectively. ResultThe f values of chlorogenic acid to aucubin， geniposidic acid， asperuloside and rutin were 3.13， 1.45， 2.64 and 0.56， respectively. Repeatability was good under different experimental conditions， relative standard deviation （RSD） was <5.0%. The contents of aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin in 14 batches of Eucommiae Folium were 1.340-28.975， 0.252-36.086， 10.016-27.443， 1.396-8.646， 0.533-1.766 mg·g^-1， respectively. There were no significant difference between content results of QAMS and that of ESM （RSD<5.0%）. ConclusionQAMS established with chlorogenic acid as the internal reference can be used to determine the contents of five components in Eucommiae Folium， and this method is simple and accurate. After comprehensive evaluation， the quality standard of Eucommiae Folium in subsequent editions of Chinese Pharmacopoeia is suggested that three main active components， chlorogenic acid， aucubin and geniposidic acid， are selected as quality markers， and their content limits are recommended not less than 1.5%， 1.0% and 1.0%， respectively. This quality standard draft can avoid the potential quality risk due to poor specificity and low content limit of the index component （chlorogenic acid） in the previous editions of Chinese Pharmacopoeia.

Child ; Humans ; Chromosomes, Human, Pair 16 ; Leukemia, Myeloid, Acute ; Neoplasms, Multiple Primary/genetics* ; Oncogene Proteins, Fusion/genetics* ; RNA-Binding Protein FUS/genetics* ; Sarcoma, Myeloid/genetics* ; Transcriptional Regulator ERG/genetics* ; Translocation, Genetic

Objective:To explore the protective effect and the mechanism of Danggui Shaoyaosan（DSS） on angiotensin Ⅱ （AngⅡ）/transient receptor potential cation channel 6 （TRPC6） pathway in nephrotic syndrome （NS） rats. Method:In animal experiments， doxorubicin （4 mg·kg^-1 for the 1^st week and 2 mg·kg^-1 for the 2^nd week） was injected twice to the tail vein of rats to induce NS model in 160 rats， which were then randomly divided into model group （normal saline）， losartan group （30 mg·kg^-1·d^-1）， and low-（4.3 g·kg^-1·d^-1）， medium-（8.6 g·kg^-1·d^-1）， and high-dose （17.2 g·kg^-1·d^-1） DSS groups. Besides， a normal group was also set. After intervention for four weeks， ultrastructure changes of the kidney were identified by transmission electron microscopy （TEM）. The 24-hour urine protein was detected by kits. Radioimmunoassay was used to detect the content of AngⅡ and Calcineurin （CaN） in plasma. Western blot was used to detect the protein expression of TRPC6， angiotensin Ⅱ type 1 receptor （AT1R）， podocyte slit diaphragm-specific protein （Nephrin）， and cysteine-aspartic acid protease-3 （Caspase-3） in the renal cortex. Immunohistochemistry was used to detect the expression of TRPC6 and AT1R in the slit diaphragm. In cell experiments， AngⅡ stimulated MPC5 podocytes. The cells were randomly divided into a normal group， an AngⅡ group， an AngⅡ+SAR7334 （TRPC6-specific inhibitor） group， an AngⅡ+5%DSS group， an AngⅡ+10%DSS group， and an AngⅡ+15%DSS group. Western blot was used to detect the protein expression of TRPC6， AT1R， Nephrin， and Caspase-3 in podocytes. Result:Compared with the normal group， the model group showed increased 24-hour urine protein content （P<0.01） and AngⅡ and CaN in plasma （P<0.01）， incomplete glomerular structure， the extensive fusion of podocyte process with elevated fusion rate （P<0.01）， increased expression distribution of AT1R and TRPC6 in the renal cortex， and up-regulated protein expression of AT1R， TRPC6， and Caspase-3 in renal tissues （P<0.01）， and reduced Nephrin protein expression （P<0.01）. Compared with model group， the losartan group and the high-dose DSS group exhibited decreased 24-hour urine protein content （P<0.01） and the content of AngⅡ and CaN in plasma （P<0.01）， improved glomerular structure， reduced fusion rate of podocyte process （P<0.01）， diminished expression distribution of TRPC6 and AT1R in the renal cortex， declining protein expression of AT1R， TRPC6 and Caspase-3 in renal tissues （P<0.01）， and elevated Nephrin protein expression （P<0.01）. Additionally， compared with the normal podocytes， AngⅡ-stimulated podocytes showed increased protein expression of AT1R， TRPC6 and Caspase-3 （P<0.01）， and decreased expression of Nephrin （P<0.01）. Compared with the AngⅡ group， the AngⅡ+SAR7334 group displayed reduced protein expression of AT1R， TRPC6， and Caspase-3 （P<0.01） and increased protein expression of Nephrin （P<0.01）. Conclusion:DSS can improve the pathological characteristics of NS presumedly by inhibiting the interaction between AngⅡ and TRPC6 in podocytes and improving the structural integrity of podocytes to repair the damage of glomerular molecular barrier and slow down the progression of NS-induced proteinuria.

Objective To discuss the application of 3D laser scanner and computer technology in restoration of the accident scene and reconstruction of the accident process, as well as identification of the driver-passenger relationship. Methods The scene of a traffic accident, the accident vehicle and the vehicle of the same type as accident vehicle were scanned using 3D laser scanner. The accident scene, traces and accident vehicle were integrated using computer technology to restore the accident scene, and the accident process was reconstructed and analyzed by combining the characteristics of the body injuries. Results By restoring the accident scene and reconstructing the accident process with 3D laser scanner, it was determined that Wu was in the driving seat at the time of the accident. Conclusion It is more objective and scientific to use 3D laser scanning technology to restore the accident scene, reconstruct the accident process and analyze the moving track of the driver and passengers in the vehicle. It will help to improve the accuracy of forensic identification of road traffic accidents.
Accidents, Traffic ; Computer Simulation

Purpose To investigate the clinicopathologic features and differential diagnosis of oncocytic variant of medullary thyroid carcinoma (MTC).Methods Morphological,immunohistochemical findings on 3 oncocytic variant of MTC cases and electron microscopic findings on 2 of these 3 cases were studied,with review of the relevant literatures.Results The cytoplasm was abundant,eosinophilic and granular with defined margins.The nuclei were enlarged,round to oval.Prominent nucleoli were identified in some cells.Tumor cells formed sheets,trabeculae or follicles with infiltrative pattern.Immunohistochemically,thyroglobulin (TG) was negative in all 3 cases.Calcitonin was positive in 2 cases and negative in 1 case.Ultrastructurally,a large number of mitochondria and various neuroendocrine granules were found in the 2nd and 3rd cases.Conclusion Oncocytic variant of MTC is very rare with variable histopathologic appearances.It should be considered in diagnosing oncocytic lesions of thyroid.A definite diagnosis can be rendered based on comprehensive findings of the immunohistochemistry,serology study and electron microscopy.It needs to avoid misdiagnosis and missed diagnosis.