OBJECTIVE To improve the quality standard of Zhuang medicine Yingbupu （Aralia armata）. METHODS A total of 23 batches of Yingbupu （A. armata） were studied. Their macroscopic characteristics and powder microscopic features were observed. TLC was employed for the qualitative identification of oleanolic acid and araloside A. Items such as water content， total ash， acid-insoluble ash， and ethanol-soluble extract were determined according to the methods specified in the 2020 edition of the Chinese Pharmacopoeia （part Ⅳ）. UPLC fingerprint was established for 23 batches of samples by using Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicine （2012 edition）， and the contents of oleanolic acid and araloside A were determined. RESULTS The powder microscopic characteristics of the medicinal material were distinctive. Oleanolic acid and araloside A were detected by TLC in all 23 batches. Among the 23 batches of samples， the content ranges of moisture， total ash， acid-insoluble ash， and ethanol-soluble extract were 6.9% to 10.4%， 1.8% to 6.8%， 0.1% to 1.9%， and 2.8% to 8.4%， respectively. Based on the UPLC fingerprint， a total of 15 common peaks were obtained， and 9 of these common peaks were identified. The content ranges of oleanolic acid and araloside A in the 23 batches of samples were 0.86% to 2.69% and 0.16% to 1.10%， respectively. CONCLUSIONS This study has added items such as moisture and total ash content fingerprint， TLC identification. A preliminary quality standard has been established for the medicinal material of Yingbupu （A. armata）， stipulating that the moisture content should not exceed 11.0%， the total ash content should not exceed 5.0%， the acid-insoluble ash content should not exceed 2.5%， the ethanol-soluble extract（No. content should not be less than 4.0%， and the contents of zyyzdxk-2023165） oleanolic acid and araloside A should not be less than 1.00% and 0.45%（ calculated by a dried basis）， respectively.

With the rapid development of implant techniques and digital technology,intraoral digital impressions have become a commonly used impression method in implant restoration.At present,the accuracy of intraoral digital impressions directly applied to implant-supported prostheses in edentulous jaw remains inadequate.This is due to the high accuracy requirement of full-arch implant impressions,while there are still technical challenges in intraoral digital impressions about recognition and stitching.In this regard,scholars have proposed a variety of scanning strategies to improve the accuracy of intraoral scans,including mucosal modifications,auxiliary devices and novel scan bodies.At the same time,as a new digital impression technique,stereo photogrammetry has been developing steadily and exhibits promising accuracy.This article reviews the research progress on the accuracy of edentulous full-arch implant impressions and techniques which can improve the accuracy of intraoral digital impressions thus providing a reference for clinical application.

Objective:To develop a prediction model using machine learning to identify anxiety and depression in elderly individuals.Methods:This study collected data from 15079 elderly individuals in Shanxi Province, including their social demographic factors and disease status.Anxiety and depression were evaluated using GAD-7 and PHQ-9 scales to understand the characteristics of mental illness in the elderly.The evaluation indexes included accuracy, recall, precision, F1 score, Receiver Operating Characteristic Curve(ROC), and area under the curve(AUC), which were derived from the confusion matrix and several models.Results:The output of our study clearly demonstrates that the full feature prediction based on LightGBM is highly accurate, with an AUC of 0.805[95% CI: 0.794-0.811]. This outperforms the Random Forest model, which achieved an AUC of 0.730[95% CI: 0.702-0.741], and the XGboost model, which achieved an AUC of 0.802[95% CI: 0.780-0.807]. Therefore, LightGBM algorithm proves to be a strong prediction model.Our simplified model, based on eight selected features, also achieves a respectable AUC of approximately 0.75. Conclusions:The new prediction model for anxiety and depression specifically designed for the elderly can be effectively utilized in grassroots health surveys or for self-examinations to efficiently predict anxiety and depression levels among the elderly population in the community.

Objective:To conduct a scoping review of studies on the assessment content and early functional exercise of various functional disorders occurring in the limbs on the operated side after cardiac implantable electronic device implantation, so as to provide a reference for the future early identification of different functional disorders in the limbs on the operated side and the guidance of early rehabilitation and exercise in the postoperative period.Methods:According to the scoping review methodology,we systematically searched PubMed, Embase, Cochrane Library, Web of Science, CINAHL, CNKI, VIP, Wanfang and CBM. The retrieval time limit was from the establishment of the database to October 31, 2023. The included studies were summarized and analyzed.Results:Totally 15 studies were included. These included 7 randomized controlled trials and 6 cohort studies, and 2 case-control studies. Postoperative series of limb-related dysfunction on the operative side after cardiac implantable electronic device implantation including shoulder pain, limited range of motion of the shoulder, decreased grip strength, and scapular dyskinesia. Shoulder range of motion limitations included flexion, abduction, and internal and external rotation angle limitations. Shoulder pain and impaired active forward flexion had the highest prevalence, reaching 61% and 60% respectively. The most restricted population was ICD implanted patients. The assessment tools included subjective and objective tools. These tools included 3 types of scales to assess shoulder pain and goniometer for assessing shoulder range of motion and hydraulic hand dynamometer for evaluating grip strength, and tests and tape measures to assess scapular dyskinesia and 5 types of scales to assess overall limb function on the operative side.The various dysfunctions associated with the limb on the operated side basically appeared at 2 weeks postoperatively, and these dysfunctions began to improve at 3 months postoperatively and normalized at 12 months and fully recovered at 5 years.The longest duration was in patients with ICD implants. The rehabilitation exercise program consisted of five types, of which the pendulum exercise was a single program and the remaining four were comprehensive rehabilitation exercise programs, all of which were effective.Intervention time points included postoperative days 1 and 2, as well as postoperative weeks 1 and 2.Conclusions:We need to focus on the presence of serial related dysfunction in the operated limb after cardiac implantable electronic device implantation. Assessment tools are diverse and we need to choose appropriately based on measurement priorities. All of these dysfunctions are self-limiting, however, they still have a long time to heal themselves. All of these individuals need to be included in screening and comprehensive interventions at regular outpatient follow-up visits for one year after surgery. Conducting a comprehensive functional exercise program is beneficial in reducing the incidence and duration of different dysfunctions in the patient′s operated limb. These exercise programs have value for further clinical application. However, these exercise programs are not uniform.In order to provide early intervention for patients, the further validation of which types of activity programs or a combination of certain types of activity programs need to be further investigated. The timing of early functional exercise is not uniform and further work is needed to determine these times.

ObjectiveTo investigate the protective effect of Zuoguiwan against ⁶⁰Co-γ ray-induced premature aging of rats based on the phosphatidylinositol-3-kinases/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway. MethodSixty sexually mature female SD rats were irradiated with ⁶⁰Co-γ rays （6.0 Gy， LD₄₀） for 24 h at one time. Then they were randomized into model group， Bujiale group （0.18 g·kg^-1·d^-1）， Bujiale （0.09 g·kg^-1·d^-1） + high-dose Zuoguiwan group （23.625 g·kg^-1·d^-1）， high-dose Zuoguiwan group （23.625 g·kg^-1·d^-1）， medium-dose Zuoguiwan group （9.45 g·kg^-1·d^-1）， and low-dose Zuoguiwan group （4.725 g·kg^-1·d^-1）. The administration （once a day） lasted 21 days. Serum indexes ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， and estradiol （E₂）］ of rats were detected by enzyme-linked immunosorbent assay （ELISA）， and morphological changes of ovarian tissues were observed based on hematoxylin and eosin （HE） staining. The apoptosis rate of granulosa cells was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） and the protein expression of phosphorylated （p）-PI3K， p-Akt， p-mTOR， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in ovarian tissues by Western blot. ResultCompared with normal group， model group demonstrated increase in serum FSH （P<0.01）， decrease in E₂ （P<0.05）， and reduction of follicles and luteum in early ovary （P<0.01）. Moreover， the elevation of apoptosis rate of granulosa cells （P<0.01）， down-regulation of p-PI3K， p-Akt， p-mTOR， and Bcl-2 in ovarian tissue， and increase in expression of Bax were also observed in the model group as compared with the normal group （P<0.01）. In comparison with the model group， the administration groups showed rise of the number of early ovarian follicles， decrease in the apoptosis rate of granulosa cells， increase in the expression of p-PI3K， p-Akt， p-mTOR， and Bcl-2， and down-regulation of Bax， particularly the Bujiale + high-dose Zuoguiwan group（P<0.05，P<0.01）. ConclusionZuoguiwan protects radiation-damaged ovary by activating the expression of PI3K/Akt/mTOR protein in ovarian tissue， increasing Bcl-2， and inhibiting the expression of Bax.

Objective To delineate the normal stomach and thoracic stomach structure of patients with thoracic and abdominal tumor automatically using the AccuContour software based on deep learning in order to evaluate and compare the results. Methods Thirty-six patients with choracic and abdominal tumors were chosen for this study, and were divided into two groups. Group A included 18 patients with normal stomach, and group B included the other 18 patients undergoing esophageal carcinoma operation with thoracic stomach. The stomach structures were automatically delineated by the AccuContour software in the simulation CT series. Statistical analysis was carried out to data of the differences in volume, position and shape between the automatic and manual delineations, and data of the two kinds of stomach were compared. Results For group A, the differences in volume (ΔV%) between the automatic and manual delineations was (−1.82 ± 9.65)%, the total position difference (ΔL) was (0.51 ± 0.37) cm, the values of dice similarity coefficient (DSC) was 0.89 ± 0.04. There were significant differences in values of ΔV%、ΔL and DSC (P < 0.05). Conclusion The used version of AccuContour software in this study had a satisfactory result of automatic delineation of the normal stomach structure larger than certain volume, but could not delineate the thoracic stomach structures effectively for patients undergoing esophageal carcinoma operation.

Objective:To construct a Nomogram model in predicting recurrence-free survival (RFS) and overall survival (OS) at six months, one year and two years after hepatocellular carcinoma (HCC) resection by using inflammatory markers combined with other routine clinical indicators.Methods:The data of 314 patients with HCC who underwent first time hepatectomy at Beijing Chaoyang Emergency Rescue Center and Air Force Characteristic Medical Center from January 2013 to January 2018 were analyzed. HCC patients who underwent hepatectomy at the First Medical Center of PLA General Hospital from January 2011 to January 2016 ( n=106) were used as the external validation group. Univariate and multivariate Cox proportional risk model was used to analyze independent risk factors of recurrence and death in HCC patients. A Nomogram model was constructed based on independent risk factors. Validation of the efficacy of the Nomogram model was done based on external data. Results:In the experimental group, 174 patients relapsed. The median RFS was 26 months. The 6 months, 1 year and 2 years RFS were 26.8%, 43.9%, and 68.8%, respectively. A total of 142 patients had died. The median survival time was 30 months. The 6 months, 1 year and 2 years OS were 5.9%, 23.6% and 63.1%, respectively. In the external validation group, 63 patients had developed recurrence, with a median RFS time of 28 months. The 6 months, 1 year and 2 years RFS were 26.4%, 45.3%, 54.7%, respectively. The median survival time was 31 months. The 6 months, 1 year and 2 years OS were 7.5%, 25.5%, 46.6%, respectively. Tumor size (>6.0 cm, HR: 1.447), vascular invasion ( HR: 1.408), TBil (>0.94 mg/dl, HR: 1.949), NLR (>2.54, HR: 2.843), AGR (≤0.88, HR: 2.447) were independent risk factors of HCC recurrence ( P<0.05). Tumor size (>6.0 cm, HR: 2.207), vascular invasion ( HR: 1.529), and NLR (>2.54, HR: 2.708) were independent risk factors of death for HCC patients ( P<0.05). The C-indexes of half-year, one-year and two-year RFS were 0.764 (95% CI: 0.677-0.854), 0.710 (95% CI: 0.615-0.824) and 0.673 (95% CI: 0.601-0.786), respectively. The C-indexes of half-year OS, one-year OS and two-year OS were 0.729 (95% CI: 0.648-0.841), 0.708 (95% CI: 0.608-0.813) and 0.664 (95% CI: 0.618-0.771), respectively. Conclusion:In this study, the construction of a Nomogram model in predicting prognosis of HCC patients was helpful to guide clinicians in improving preoperative treatment plans and in providing ideas for individualized treatment of patients.

Objective To investigate the imaging appearance of CT and MRI in retroperitoneal dedifferentiated liposarcoma ( DDL ) based on pathological findings. Methods Twelve patients with retroperitoneal DDL ( 13 lesions) who were surgically and pathologically confirmed were retrospectively collected in the Cancer Hospital of Chinese Academy of Medical Sciences. The correlation of CT and MRI features with histopathologic findings was analyzed. Results The CT and MRI images of retroperitoneal DDLs were large, heterogeneous soft?tissue masses, mostly lobulated (30.8%, 4／13) or multinodular (46.2%, 6／13), invading adjacent anatomic structures (46.2%, 6／13).The lesions contained different proportions of fatty and non?fatty components, and usually with clear boundaries. The CT images of dedifferentiated components showed non?fatty masses of soft tissue density or mixed density, among which ground?glass nodules may be related to mucinous components. Occasionally calcification or ossification was seen (45.5%, 5／11). The contrast?enhanced CT and MRI images of non?fatty components commonly showed intense heterogeneous enhancement ( 84.6%, 11／13), central cystic changes and necrosis ( 61.5%, 8／13 ), pathologically corresponding to multiple types of soft tissue sarcomas without significant specificity. The well?differentiated components were fatty masses with irregular fibrous septa or soft tissue nodules, which is pathologically corresponding to well differentiated liposarcoma. Lymph node or distant metastasis was rare. Conclusions The imaging manifestations of retroperitoneal DDLs are diverse and closely related to the proportion and distribution of different components. CT, MRI and contrast?enhanced imaging has a certain diagnostic value for retroperitoneal DDLs.

Transrectal contrast-enhanced ultrasound (CEUS) is an important examination for rectal tumors. The inhomogeneity of the CEUS images has important clinical significance. However, there is no objective method to evaluate this index. In this study, a method based on gray-level co-occurrence matrix (GLCM) is proposed to extract texture features of images and grade these images according the inhomogeneity. Specific processes include compressing the gray level of the image, calculating the texture statistics of gray level co-occurrence matrix, combining feature selection and principal component analysis (PCA) for dimensionality reduction, and training and validating quadratic discriminant analysis (QDA). After ten cross-validation, the overall accuracy rate of machine classification was 87.01%, and the accuracy of each level was as follows: Grade Ⅰ 52.94%, Grade Ⅱ 96.48% and Grade Ⅲ 92.35% respectively. The proposed method has high accuracy in judging grade Ⅱ and Ⅲ images, which can help to identify the grade of inhomogeneity of contrast-enhanced ultrasound images of rectal tumors, and may be used to assist clinical doctors in judging the grade of inhomogeneity of contrast-enhanced ultrasound of rectal tumors.
Discriminant Analysis ; Humans ; Rectal Neoplasms ; Ultrasonography

Objective: To investigate the imaging appearance of CT and MRI in retroperitoneal dedifferentiated liposarcoma (DDL) based on pathological findings. Methods: Twelve patients with retroperitoneal DDL (13 lesions) who were surgically and pathologically confirmed were retrospectively collected in the Cancer Hospital of Chinese Academy of Medical Sciences. The correlation of CT and MRI features with histopathologic findings was analyzed. Results: The CT and MRI images of retroperitoneal DDLs were large, heterogeneous soft-tissue masses, mostly lobulated (30.8%, 4/13) or multinodular (46.2%, 6/13), invading adjacent anatomic structures (46.2%, 6/13). The lesions contained different proportions of fatty and non-fatty components, and usually with clear boundaries. The CT images of dedifferentiated components showed non-fatty masses of soft tissue density or mixed density, among which ground-glass nodules may be related to mucinous components. Occasionally calcification or ossification was seen (45.5%, 5/11). The contrast-enhanced CT and MRI images of non-fatty components commonly showed intense heterogeneous enhancement (84.6%, 11/13), central cystic changes and necrosis (61.5%, 8/13), pathologically corresponding to multiple types of soft tissue sarcomas without significant specificity. The well-differentiated components were fatty masses with irregular fibrous septa or soft tissue nodules, which is pathologically corresponding to well differentiated liposarcoma. Lymph node or distant metastasis was rare. Conclusions The imaging manifestations of retroperitoneal DDLs are diverse and closely related to the proportion and distribution of different components. CT, MRI and contrast-enhanced imaging has a certain diagnostic value for retroperitoneal DDLs.