AIM: To establish the method for quality control of Zangfukang Supposit ory (Radix Przewalskii tanguticae, Pericarpium Zanthoxyli, Herba Oxytropis falca tae, etc.). METHODS: Radix Przewalskii tanguticae, Pericarpium Zanthoxyli, Her ba Oxytropis falcatae were identified by TLC, and the content of hyoscyamine in Radix Przewalskii tanguticae was determined by HPLC. RESULTS: The ethyl acetate-methanol-ammonia(17∶2∶1) was applied as the developer for the identification of Radix Przewalskii tanguticae on silica gel G coating plate. The cyclohexane-ethyl acetate-formic acid (30∶15∶1) was applied as the developer for the identification of Pericarpium Zanthoxyli on s ilic a gel G coating plate. The cyclohexane-ethyl acetate-formic acid (50∶10∶1) w as taken as the developer for the identification of Herba Oxytropis falcatae als o on silica gel G coating plate. Hyoscyamine showed a good linear relationship a t a range of 2.5～25?g,r=0.9999. The average recovery was 99.59%, and RSD was 1.34%. CONCLUSION: The methods are accurate and reliable, and can control the quality of this preparation effectively.

Objective To explore the clinical value of the ten-point scale in the early diagnosis of fat embolism syndrome.Methods The data of 129 patients with fat embolism syndrome diagnosed by Gurd criteria admitted from January 1993 to February 2012 were analyzed retrospectively.At the same time,another 97 patients with single or multiple long bone fracture and/or pelvic fracture without fat embolism admitted from July 2005 to February 2012 were enrolled as control group.Patients were excluded if they had any of the following diseases:simple brain trauma,thoracic injury,spine fracture,hemorrhagic shock and the complications of cardiopulmonary cerebral resuscitation (CPCR).The patients of two groups were comparable in respect of clinical setting.The clinical data were analyzed and scored by the ten-point scale.The x2 test were applied to statistical works.Results Among all the clinical characteristics,the incidence of increased D-dimer was the highest (74.1％) in early fat embolism syndrome,followed by the progressive decrease in hemoglobin (63.6％) and hypoxemia (57.4％),and the occurrence of dyspnea was the lowest (17.8％).The percentage of total scores over ten points in patients with fat embolism syndrome group was higher than that in those without fat embolism syndrome (x2 =202.6,P ＜ 0.01).The sensitivity of tenpoint scale was 96.12％ and the specificity was 99.8％.Conclusions Ten-point scale could be used to make early diagnosis of fat embolism syndrome,thereby reducing the occurrence of misdiagnosis and misseddiagnosis.

AIM: To establish the method for quality control of Gutongning Liniment(Herba Epimedii,Semen Strychni,Herba Ephedrae,etc.) METHODS: Herba Ephedrae,Radix Notoginseng,Ramulus Cinnamomi,Flos Caryophylli,Flos Daturae were identified by TLC,icariin content in Herba Epimedii and strychnine content in Semen Strychni were determined by HPLC. RESULTS: The identified characteristics of chromatography were distinct and the spots were clear.Icariin showed a good linear relationship at a range of 0.2-1.2 ?g,r=0.999 8.The(average) recovery was 10.3%,and RSD was 1.5%.Strychnine showed a good linear relationship at a range of 0.8-4.8 ?g,r=0.999 7.The average recovery was 99.17%,and RSD was 1.4%. CONCLUSION: The methods are accurate and reliable,and can be used to control the quality of this preparation effectively.

Objective:To evaluate the role of histogram analysis based on amide proton transfer weighted (APTw) and apparent diffusion coefficient (ADC) imaging in predicting alpha-thalassemia/mental retardation syndrome X-linked ( ATRX) mutation in isocitrate dehydrogenase ( IDH)-mutant WHO grading 2/3 gliomas. Methods:Seventy-eight patients with IDH-mutant WHO grading 2/3 gliomas, admitted to and confirmed by surgical pathology in Department of Functional Neurosurgery, Neurosurgery Center, Zhujiang Hospital, Southern Medical University from June 2017 to October 2023, including 52 with ATRX wild and 26 with ATRX mutant-type, were selected. Preoperative 3D-APTw and ADC imaging data were collected; after post-processing, the lesions were segmented using lesion outlining method based on inclusion of peri-tumor edema and lesion outlining method based on tumor entity, respectively; after that, the histogram features (the 10 th percentile, 90 th percentile, maximum, mean, median, minimum, skewness, kurtosis, entropy, range, uniformity, and variance) were extracted from 3D-APTw and ADC imaging, respectively. Univariate Logistic regression was used to compare the differences in histogram features between patients in the ATRX mutant group and ATRX wild-type group, and multivariate Logistic regression was used to screen the independent predictors for ATRX mutation (a Logistic regression prediction model was constructed). Predictive values of independent predictors and Logistic regression prediction models in ATRX mutation were evaluated by receiver operating characteristic (ROC) curve. Results:(1) With lesion outlining method based on inclusion of peri-tumor edema, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw minimum, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity, and ADC entropy ( P<0.05). With lesion outlining method based on tumor entity, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw 90 th percentile, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity and ADC entropy ( P<0.05). (2) With lesion outlining method based on inclusion of peri-tumor edema, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were the independent predictor for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.168, 95% CI: 0.034-0.800, P=0.025; OR=0.508, 95% CI: 0.319-0.807, P=0.004). The constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.827-1.785×3D-APTw skewness-0.678×ADC kurtosis). With lesion outlining method based on tumor entity, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were independent predictors for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.164, 95% CI: 0.034-0.791, P=0.024; OR=0.496, 95% CI: 0.312-0.788, P=0.003); the constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.585-1.810×3D-APTw skewness-0.702×ADC kurtosis). (3) ROC curve analysis showed that, with lesion outlining method based on inclusion of peri-tumor edema, area under ROC curve (AUC) of 3D-APTw skewness and ADC kurtosis was 0.725 (95% CI: 0.608-0.842, P=0.001) and 0.794 (95% CI: 0.685-0.904), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.836 (95% CI: 0.729-0.942, P<0.001), and its sensitivity and specificity were 73.10% and 90.40% when the best threshold was 0.505. ROC curve showed that, with lesion outlining method based on tumor entity, AUC of 3D-APTw skewness and ADC kurtosis was 0.705 (95% CI: 0.587-0.823, P=0.003) and 0.808 (95% CI: 0.704-0.913), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.844 (95% CI: 0.739-0.949, P<0.001), and its sensitivity and specificity were 84.60% and 80.80% when the best threshold was 0.399. Conclusion:Histogram analysis based on 3D-APTw and ADC imaging can predict ATRX mutation in IDH mutant WHO grading 2/3 gliomas to a certain extent.

Objective To evaluate the stability and aesthetic effect of a xenogeneic collagen matrix(mucograft)on achieving an adequate keratinized mucosa width(KMW)around implants and to provide a reference basis for the clini-cal application of xenogeneic collagen matrix materials.Methods The hospital ethics committee approved the study protocol,and the patients provided informed consent.Twenty patients with a KMW＜2 mm at the buccal implant site who were treated in Binzhou Medical University Affiliated Yantai Stomatological Hospital from July 2020 to September 2022 were included,and a total of 36 implants were included.The mean age of the patients was(52.0±10.4)years,of which 18 were females and 2 were males.They were divided into a free gingival graft group(FGG,control group)and a xenogeneic collagen matrix group(test group)according to different graft materials.The incremental effect of the KMW on the buccal side of the implant and the mucosal shrinkage rate was measured at 1 month and 3 months after the opera-tion.The mucosal scar index(MSI)was evaluated after the operation.Results At 3 months postoperatively,the KMW was(3.67±1.06)mm in the control group and(2.96±0.98)mm in the test group,and the difference was statistically significant(t=2.076,P＜0.05).The KMW shrinkage rate was(33.34±16.30)％in the test group and(22.05± 15.47)％in the control group at 1 month postoperatively and(51.95±12.60)％in the test group and(37.44±16.30)％in the control group at 3 months postoperatively,with statistically significant differences between the two groups at the same time points(P＜0.05).Three months after surgery,the test group showed significantly better outcomes than the control group in terms of the five scar indicators(scar width,scar convexity,scar color,scar trace,and overall appear-ance),and the difference was statistically significant(P＜0.05).Conclusion Xenogeneic collagen matrix can increase the peri-implant KMW and achieve a more natural and coordinated soft tissue aesthetic effect but with a higher shrink-age rate.

OBJECTIVE: To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics. METHODS: We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T₂WI, T₁WI, FLAIR, CE-T₁WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists. RESULTS: The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05). CONCLUSION Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans ; Magnetic Resonance Imaging ; Chromosome Aberrations ; Area Under Curve ; Glioma/genetics* ; ROC Curve