As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

An 85-year-old male patient received immunotherapy with toripalimab (240 mg by intravenous infusion on day 1, 21 days as one treatment cycle). After one week of the first medication, the patient experienced fatigue, poor appetite, weight loss, gradually developed mild ptosis of the right eyelid, shortness of breath and palpitations after activity, which were progressively aggravated. The patient also developed unclear speech, choking on water, and difficulty breathing. Laboratory tests showed alanine aminotransferase (ALT) 93 U/L, aspartate aminotransferase (AST) 171 U/L, creatine kinase (CK) 2 982 U/L, creatine kinase isoenzyme (CK-MB) 110 U/L, lactate dehydrogenase (LDH) 603 U/L, and high-sensitivity troponin T (hs-cTnT) 243 ng/L. All indicators of thyroid function were abnormal. Based on results of the laboratory tests, neurophysiological examination, and electrocardiogram examination, combined with the patient′s clinical symptoms, immune-mediated hepatitis of grade 2, immune-mediated myocarditis of grade 3, myasthenia gravis of grade 3, immune-mediated myositis of grade 2, and thyroid dysfunction of grade 1 were diagnosed, which was considered to be induced by toripalimab. Toripalimab was stopped. After treatments with glucocorticoids, liver-protective drugs, and symptomatic treatments, above-mentioned indicators showed a downward trend. After 27 days of treatments, the patient′s clinical symptoms were improved significantly. Laboratory tests showed ALT 123 U/L, AST 68 U/L, CK 116 U/L, CK-MB 42 U/L, LDH 305 U/L. The thyroid function indicators were all normal. After 57 days of treatments, above symptoms in the patient basically disappeared, and laboratory indicators tended to be normal.

An 85-year-old male patient received immunotherapy with toripalimab (240 mg by intravenous infusion on day 1, 21 days as one treatment cycle). After one week of the first medication, the patient experienced fatigue, poor appetite, weight loss, gradually developed mild ptosis of the right eyelid, shortness of breath and palpitations after activity, which were progressively aggravated. The patient also developed unclear speech, choking on water, and difficulty breathing. Laboratory tests showed alanine aminotransferase (ALT) 93 U/L, aspartate aminotransferase (AST) 171 U/L, creatine kinase (CK) 2 982 U/L, creatine kinase isoenzyme (CK-MB) 110 U/L, lactate dehydrogenase (LDH) 603 U/L, and high-sensitivity troponin T (hs-cTnT) 243 ng/L. All indicators of thyroid function were abnormal. Based on results of the laboratory tests, neurophysiological examination, and electrocardiogram examination, combined with the patient′s clinical symptoms, immune-mediated hepatitis of grade 2, immune-mediated myocarditis of grade 3, myasthenia gravis of grade 3, immune-mediated myositis of grade 2, and thyroid dysfunction of grade 1 were diagnosed, which was considered to be induced by toripalimab. Toripalimab was stopped. After treatments with glucocorticoids, liver-protective drugs, and symptomatic treatments, above-mentioned indicators showed a downward trend. After 27 days of treatments, the patient′s clinical symptoms were improved significantly. Laboratory tests showed ALT 123 U/L, AST 68 U/L, CK 116 U/L, CK-MB 42 U/L, LDH 305 U/L. The thyroid function indicators were all normal. After 57 days of treatments, above symptoms in the patient basically disappeared, and laboratory indicators tended to be normal.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

G protein-coupled receptors (GPCRs) are a large family of membrane protein receptors, and Takeda G protein-coupled receptor 5 (TGR5) is a member of this family. As a membrane receptor, TGR5 is widely distributed in different parts of the human body and plays a vital role in regulating metabolism, including the processes of energy consumption, weight loss and blood glucose homeostasis. Recent studies have shown that TGR5 plays an important role in glucose and lipid metabolism disorders such as fatty liver, obesity and diabetes. With the global obesity situation becoming more and more serious, a comprehensive explanation of the mechanism of TGR5 and filling the gaps in knowledge concerning clinical ligand drugs are urgently needed. In this review, we mainly explain the anti-obesity mechanism of TGR5 to promote the further study of this target, and show the electron microscope structure of TGR5 and review recent studies on TGR5 ligands to illustrate the specific binding between TGR5 receptor binding sites and ligands, which can effectively provide new ideas for ligand research and promote drug research.

Objective:To design and evaluate the application value of intracavitary-interstitial brachytherapy (IC-ISBT) applicator template for locally advanced cervical cancer.Methods:MRI data of 100 patients with ⅡB-ⅣA stage cervical cancer (International Federation of Gynecology and Obstetrics 2018 staging system) before and after external beam radiation therapy (EBRT) admitted to Sun Yat-sen University Cancer Center from March 2019 to September 2020 were collected. The range of primary cervical lesions was retrospectively analyzed and compared. Based on the residual mass of patients, the corresponding high-risk clinical target volume (HR-CTV) was delineated, and the IC-ISBT applicator template was designed and initially applied to cervical cancer patients. Dosimetry analysis and efficacy evaluation were compared between the applicator template-guided ( n=37) and free-hand implantation groups ( n=63). Chi-square test or Fisher exact test was performed for categorical variables, and t-test or U-test for continuous variables. Results:The median distance between the residual tumor margin (clockwise 3, 6, 9, 12 o'clock) and the center of 100 patients with ⅡB-ⅣA stage cervical cancer after EBRT was 16.5, 14.0, 17.0 and 13.0 mm, respectively. The corresponding HR-CTV was superimposed to reconstruct the three-dimensional diagram, and the cylindrical IC-ISBT applicator template with mushroom-like head was designed and manufactured: the longest and shortest diameter of the head was 35 and 20 mm, respectively; the central channel was adapted to the uterine tube, the C1-C12 channels was arranged in inner circle, and the peripheral B1-B5 and A1-A4 pin channels were expanded bilaterally. In terms of dose coverage, there was no significant difference between the HR-CTV D 90% [(635.12±22.65) vs. (635.80±25.84) cGy], bladder D 2 cm3 [(473.79±44.78) vs. (463.55±66.43) cGy)], rectum D 2 cm3 [(396.99±73.54) vs. (408.00±73.94) cGy] and sigmoid colon D 2 cm3 [(293.07±152.72) vs. (311.31±135.77) cGy] between the template-guided and free-hand implantation groups (all P>0.05), but the HR-CTV D 98% was significantly higher [(544.78±32.07) vs. (536.78±32.04) cGy, P=0.007] and the rectum D 1 cm3 and D 0.1 cm3 were significantly lower [(438.62±69.65) vs. (453.97±67.89) cGy, P=0.016; (519.46±70.67) vs. (543.82±81.24) cGy, P=0.001] in the template-guided implantation group. In addition, there was no significant difference in the complete response rate between two groups (86% vs. 83%, P>0.05). Conclusions:This IC-ISBT applicator template is reasonably designed, and the therapeutic efficacy of the template-guided implantation is equivalent to that of free-hand implantation. The dose coverage of the target area meets the clinical demand with a better protection of the organs at risk. The applicator template has the potential to be widely used as a conventional template in clinical practice as the applicator-guided implantation is convenient to operate and repeat.

Objective To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. Methods This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. Results Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P<0.05), but the CI of the 4 plans were similar (P>0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum;the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P<0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P<0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. Conclusion Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.

Objective To investigate the dosimetric difference between manual and inverse optimization in 3-dimensional (3D) brachytherapy for gynecologic tumors. Methods This retrospective study was conducted among a total of 110 patients with gynecologic tumors undergoing intracavitary combined with interstitial brachytherapy or interstitial brachytherapy. Based on the original images, the brachytherapy plans were optimized for each patient using Gro, IPSA1, IPSA2 (with increased volumetric dose limits on the basis of IPSA1) and HIPO algorithms. The dose-volume histogram (DVH) parameters of the clinical target volume (CTV) including V200, V150, V100, D90, D98 and CI, and the dosimetric parameters D2cc, D1cc, and D0.1cc for the bladder, rectum, and sigmoid colon were compared among the 4 plans. Results Among the 4 plans, Gro optimization took the longest time, followed by HIPO, IPSA2 and IPSA1 optimization. The mean D90, D98, and V100 of HIPO plans were significantly higher than those of Gro and IPSA plans, and D90 and V100 of IPSA1, IPSA2 and HIPO plans were higher than those of Gro plans (P<0.05), but the CI of the 4 plans were similar (P>0.05). For the organs at risk (OARs), the HIPO plan had the lowest D2cc of the bladder and rectum;the bladder absorbed dose of Gro plans were significantly greater than those of IPSA1 and HIPO (P<0.05). The D2cc and D1cc of the rectum in IPSA1, IPSA2 and HIPO plans were better than Gro (P<0.05). The D2cc and D1cc of the sigmoid colon did not differ significantly among the 4 plans. Conclusion Among the 4 algorithms, the HIPO algorithm can better improve dose coverage of the target and lower the radiation dose of the OARs, and is thus recommended for the initial plan optimization. Clinically, the combination of manual optimization can achieve more individualized dose distribution of the plan.

African swine fever virus(ASFV)I177L gene deletion vaccine is one of the key directions of African swine fever(ASF)live attenuated vaccine research and development.In order to effec-tively distinguish between the wild-type ASFV strain and the I177L gene-deleted strain,specific primers and probes were designed based on ASFV B646L and I177L genes,respectively.After screening and optimization,a duplex real-time PCR method was developed that can simultaneously detect these two genes.The results showed that ASFV B646L and I177L genes were detected spe-cifically and simultaneously by the method developed without cross-reactions with porcine circovir-us type 2,Seneca virus A,classical swine fever virus,foot-and-mouth disease virus,porcine respira-tory and reproductive syndrome virus.The detection limits of the duplex real-time PCR for recom-binant plasmids pUC57-B646L and pUC57-I177L were 1×103 copies/mL.The intra-and inter-as-say coefficients of variation were less than 4％,respectively.Detection of 122 pork and pork prod-ucts using the duplex real-time PCR developed and the real-time PCR recommended by WOAH showed that the coincidence rates of the two methods for B646L gene detection was 100％with two amplification curves appeared in the positive results of the established methods.The method established in this study can be used for the detection of ASFV I177L gene deletion strains,which provides technical support for ASF surveillance and epidemiological investigation.