Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

Objective:To investigate the value of a deep learning radiomics (DLR) nomogram model based on intra-tumoral and peri-tumoral MRI features for differentiating IgG4-related ophthalmic disease (IgG4-ROD) from orbital mucosa-associated lymphoid tissue (MALT) lymphoma.Methods:This was a case-control study. The clinical and imaging data of 233 patients pathologically confirmed with either IgG4-ROD or orbital MALT lymphoma were retrospective collected between January 2020 and December 2024 from the Second Hospital of Jilin University (Center 1) and Beijing Tongren Hospital, Capital Medical University (Center 2). Patients from Center 1 ( n=158) were used as the training cohort, while those from Center 2 ( n=75) served as the validation cohort. Among the cases, 102 were IgG4-ROD (70 in training, 32 in validation) and 131 were orbital MALT lymphoma (88 in training, 43 in validation). Univariate and multivariate logistic regression analyses were used to identify independent clinical imaging predictors and build a clinical imaging model. Based on T 1WI, T 2WI, and diffusion weighted images, intra-tumoral regions were manually delineated, a 2 mm peri-tumoral margin was automatically generated, and both regions were combined as a single region of interest for radiomics feature extraction. Deep learning features were extracted using a ResNet-50 backbone, and after feature selection and dimensionality reduction, a DLR model was constructed. The clinical imaging features and DLR features were integrated to build a combined nomogram model. Model performance in differentiating IgG4-ROD from orbital MALT lymphoma was assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis. The area under the curve (AUC) were compared using the DeLong test. Results:Bilateral orbital involvement ( OR=1.983, 95% CI 1.166-2.843, P=0.046) and extraocular muscle involvement ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as independent predictors for distinguishing IgG4-ROD from orbital MALT lymphoma and were used to construct the clinical model. Fourteen features (9 radiomics and 5 deep learning features) were selected for the DLR model, and a nomogram was developed. In the training set, the AUCs for the clinical model, DLR model, and nomogram were 0.762 (95% CI 0.712-0.812), 0.865 (95% CI 0.822-0.908), and 0.943 (95% CI 0.909-0.953), respectively. In the validation set, the AUCs were 0.733 (95% CI 0.675-0.791), 0.823 (95% CI 0.762-0.884), and 0.924 (95% CI 0.902-0.958), respectively. The nomogram showed significantly higher AUCs than those of the clinical and DLR models alone (training set: Z=3.92, 2.87, P0.001, P=0.004; validation set: Z=3.25, 2.46, P=0.001, 0.014). Calibration curves indicated good agreement between predicted and actual IgG4-ROD incidence, and decision curve analysis demonstrated the highest net benefit for the nomogram. Conclusion:A nomogram that incorporates both intra-tumoral and peri-tumoral DLR features and clinical imaging characteristics demonstrates excellent performance in distinguishing IgG4-ROD from orbital MALT lymphoma.

With the continuous advancement and development of minimally invasive techniques, uniportal thoracoscopic minimally invasive esophagectomy (UTMIE) has gradually expanded its application in the surgical treatment of esophageal cancer due to its significant advantages, including minimal trauma, aesthetically pleasing incisions, and reduced postoperative pain. This consensus is based on the latest evidence-based medical data from both domestically and internationally, combined with extensive clinical practice experiences from numerous experts. It systematically reviews and summarizes the indications, key technical points, learning curve characteristics, perioperative management strategies, as well as prevention and management of complications associated with UTMIE. To ensure the scientific rigor and authority of this consensus, a total of 83 experts in the field were invited to participate in multiple rounds of Delphi surveys for in-depth discussion and consultation. Ultimately, 24 recommendations were formulated to guide the standardized application of UTMIE in clinical practice. The aim of this consensus is to standardize and guide the clinical implementation of UTMIE, ensuring safety and efficacy while promoting more efficient and widespread development of this surgical approach.

Rheumatoid arthritis(RA)is a common autoimmune disease with synovitis as core pathological manifestation,with strong injury and high disability rate,which can not be cured completely at present.Recent studies have shown that tumor necro-sis factor receptor-related factor 6(TRAF6),as a ubiquitin ligase E3,plays a key role in autoimmune diseases and inflammatory diseases through a variety of pathways.This article reviews structure,function,ubiquitin regulation of TRAF6 and research progress of pathogenesis of RA.

Objective:To investigate the value of a deep learning radiomics (DLR) nomogram model based on intra-tumoral and peri-tumoral MRI features for differentiating IgG4-related ophthalmic disease (IgG4-ROD) from orbital mucosa-associated lymphoid tissue (MALT) lymphoma.Methods:This was a case-control study. The clinical and imaging data of 233 patients pathologically confirmed with either IgG4-ROD or orbital MALT lymphoma were retrospective collected between January 2020 and December 2024 from the Second Hospital of Jilin University (Center 1) and Beijing Tongren Hospital, Capital Medical University (Center 2). Patients from Center 1 ( n=158) were used as the training cohort, while those from Center 2 ( n=75) served as the validation cohort. Among the cases, 102 were IgG4-ROD (70 in training, 32 in validation) and 131 were orbital MALT lymphoma (88 in training, 43 in validation). Univariate and multivariate logistic regression analyses were used to identify independent clinical imaging predictors and build a clinical imaging model. Based on T 1WI, T 2WI, and diffusion weighted images, intra-tumoral regions were manually delineated, a 2 mm peri-tumoral margin was automatically generated, and both regions were combined as a single region of interest for radiomics feature extraction. Deep learning features were extracted using a ResNet-50 backbone, and after feature selection and dimensionality reduction, a DLR model was constructed. The clinical imaging features and DLR features were integrated to build a combined nomogram model. Model performance in differentiating IgG4-ROD from orbital MALT lymphoma was assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis. The area under the curve (AUC) were compared using the DeLong test. Results:Bilateral orbital involvement ( OR=1.983, 95% CI 1.166-2.843, P=0.046) and extraocular muscle involvement ( OR=1.246, 95% CI 1.079-1.764, P=0.015) were identified as independent predictors for distinguishing IgG4-ROD from orbital MALT lymphoma and were used to construct the clinical model. Fourteen features (9 radiomics and 5 deep learning features) were selected for the DLR model, and a nomogram was developed. In the training set, the AUCs for the clinical model, DLR model, and nomogram were 0.762 (95% CI 0.712-0.812), 0.865 (95% CI 0.822-0.908), and 0.943 (95% CI 0.909-0.953), respectively. In the validation set, the AUCs were 0.733 (95% CI 0.675-0.791), 0.823 (95% CI 0.762-0.884), and 0.924 (95% CI 0.902-0.958), respectively. The nomogram showed significantly higher AUCs than those of the clinical and DLR models alone (training set: Z=3.92, 2.87, P0.001, P=0.004; validation set: Z=3.25, 2.46, P=0.001, 0.014). Calibration curves indicated good agreement between predicted and actual IgG4-ROD incidence, and decision curve analysis demonstrated the highest net benefit for the nomogram. Conclusion:A nomogram that incorporates both intra-tumoral and peri-tumoral DLR features and clinical imaging characteristics demonstrates excellent performance in distinguishing IgG4-ROD from orbital MALT lymphoma.

Rheumatoid arthritis(RA)is a common autoimmune disease with synovitis as core pathological manifestation,with strong injury and high disability rate,which can not be cured completely at present.Recent studies have shown that tumor necro-sis factor receptor-related factor 6(TRAF6),as a ubiquitin ligase E3,plays a key role in autoimmune diseases and inflammatory diseases through a variety of pathways.This article reviews structure,function,ubiquitin regulation of TRAF6 and research progress of pathogenesis of RA.

Objective To observe the effects of electroacupuncture on intestinal flora and serum inflammatory factors in rabbit model with rheumatoid arthritis(RA);To explore the mechanism of its therapeutic effect on RA.Methods RA model rabbits were established by ovalbumin induction combined with Freund's complete adjuvant,and the rabbits after successful modeling were randomly divided into model group,probiotic group and electroacupuncture group,with 6 rabbits in each group.Another 6 rabbits were set as the normal group.The electroacupuncture group received electroacupuncture at the bilateral"Zusanli"and"Dubi"for 30 minutes,the probiotic group was given probiotic capsules solution(14.5 mg/kg)by gavage,once a day,for two consecutive weeks.The knee joint circumference and pain threshold of rabbits were measured,histopathological morphological changes of colonic tissue and synovial tissue ws observed by HE staining,16S rDNA sequencing was used to analyze structural changes of intestinal flora,the contents of TNF-α,IL-1β and IL-6 in serum were detected by ELISA.Results Compared with the normal group,the circumference of knee joint of rabbits in the model group increased significantly,the pain threshold was significantly decreased(P<0.01);the colonic mucosal damage was serious,the goblet cells were missing,a large number of inflammatory cells were infiltrate;the joint capsule synovial surface was rough,the synovial cell layer was hyperplasia and thickening,the synovial tissue inflammatory cell infiltration was obvious;the number and evenness of gut microbiota species decreased,while the relative abundance of Proteobacteria,Firmicutes,and Bacteroidetes decreased(P<0.05,P<0.01),the relative abundance of Desulfobacteria increased(P<0.01),while the relative abundance of Campylobacter,Lawsonella,and Pseudomonas increased(P<0.01),while the relative abundance of Heshanomonas and Herbaspirillum decreased(P<0.01);the contents of serum TNF-α,IL-1β and IL-6 increased(P<0.01).Compared with the model group,the knee joint circumference of the probiotic group and the electroacupuncture group decreased,the pain threshold increased(P<0.01,P<0.05);the degree of intestinal mucosal damage was reduced,the goblet cells were basically arranged neatly,the inflammatory cell infiltration was reduced;synovial cells proliferation and thickening decreased,with a small amount of inflammatory cell infiltration;the number and evenness of gut microbiota species increased,while the relative abundance of Proteobacteria,Firmicutes,and Bacteroidetes increased(P<0.05,P<0.01),the relative abundance of Desulfobacteria decreased(P<0.01),while the relative abundance of Campylobacter,Lawsonella and Pseudomonas decreased(P<0.01),the relative abundance of Heshanomonas and Herbaspirillum increased(P<0.05,P<0.01);the contents of serum TNF-α,IL-1β and IL-6 significantly decreased(P<0.01).Conclusion Electroacupuncture can significantly improve the symptoms of RA rabbits and reduce the inflammatory reaction in synovial tissue of joint,and the mechanism may be related to the regulation of intestinal flora structure.

Objective:To investigate the risk factors for biochemical recurrence after radical prostatectomy.Methods:The clinical data of 558 radical prostatectomy patients admitted to the First Affiliated Hospital of Air Force Military Medical University from January 2010 to December 2020 were retrospectively analyzed. The average age was 67.9 (40-87) years old, and the average body mass index was 24.56 (15.12-35.94) kg/m 2. The average PSA was 41.07 ng/ml, including 48 cases<10 ng/ml, 98 cases 10-20 ng/ml, and 412 cases>20 ng/ml. There were 123, 214, 118, 89, and 14 cases with biopsy Gleason 6-10 score, respectively. The clinical stage : 90 cases in ≤T 2b, 273 cases in T 2c, and 195 cases in ≥T 3 . 558 cases underwent radical prostatectomy, including 528 robotic-assisted laparoscopic surgery, 25 laparoscopic surgery, and 5 open-surgery. The risk factors for postoperative biochemical recurrence were analyzed by Cox regression. Results:A total of 63 patients had postoperative pathological stage pT 2a, 32 patients had pT 2b, 241 patients had pT 2c, and 222 patients had ≥pT 3. A total of 210 cases developed biochemical recurrence after surgery, and the mean time to biochemical recurrence was 33.3 (3-127) months after the radical prostatectomy. The biochemical recurrence rates at 1, 3, and 5 years were 9.7% (54/558), 21.5% (120/558), and 31.7% (177/558), respectively. Among pT 2a and pT 2b patients, 7 (11.1%) and 4 (12.5%) cases developed biochemical recurrence, respectively. Among pT 2c stage patients, 145 (60.17%) cases had positive cut margins, treated with androgen-deprivation therapy (ADT) after surgery. 68 (28.21%) cases of pT 2c stage patients had biochemical recurrence at mean 36.1 (3-106)months after the radical prostatectomy. Among ≥pT 3 patients, 147 patients with positive margins, perineural invasion, seminal vesicle invasion and positive pelvic lymph nodes were treated with postoperative androgen deprivation therapy (ADT) + radiotherapy. 98 of 147 patients (66.67%) had biochemical recurrence, and the average time to biochemical recurrence was 30.6 (24-98) months.75 patients of ≥pT 3 without positive margins, perineural invasion, seminal vesicle invasion or positive pelvic lymph nodes, were treated with postoperative ADT. 33 of them (44%) had biochemical recurrence, and the average time to biochemical recurrence was 32.5 (21-106) months. 5-and 10-year survival rates of 210 patients with biochemical recurrence were 89.05% (187/210) and 78.09% (164/210) respectively, 5- and 10-year tumor-specific survival rates were 92.57% and 87.69%, respectively. 46 of 210 cases died, of which 31 (67.39%) died from prostate cancer, and 15 cases (32.61%) died from cardiovascular and cerebrovascular diseases. Multifactorial Cox regression analysis showed that patient's age ≥70 years, initial PSA > 20ng/ml, ≥pT 3 and Gleason score ≥7 were independent risk factors for biochemical recurrence. Conclusions:After radical prostatectomy, patients were treated according to their pathological stage and surgical margins. Patients with positive margins have a higher risk of biochemical recurrence. The independent risk factors for biochemical recurrence included age ≥70 years, initial PSA > 20ng/ml, ≥pT 3 and Gleason score ≥7.

OBJECTIVETo compare the differences in the clinical therapeutic effects on juvenile myopia between's stunt needling technique and traditional even needling technique.

METHODSA total of 166 cases of mild juvenile myopia (diopter <-3.00D) were randomized into an observation group ('s stunt needling technique) and a control group (traditional even needling technique), 83 cases in each one (166 affected eyes). Taiyang (EX-HN 5), Fengchi (GB 20), Cuanzhu (BL 2), Hegu (LI 4) and Guangming (GB 37) were used in the two groups. In the observation group, theneedling technique was adopted at Taiyang (EX-HN 5), theneedling technique at Fengchi (GB 20) andneedling technique at Cuanzhu (BL 2). The traditional needling technique was used at Hegu (LI 4) and Guangming (GB 37). In the control group, traditional even needling technique was applied at all the acupoints. The treatment was given once every day, continuously for 6 times as one course. There was 1 day at interval. After treatment for 4 courses, the changes in visual acuity, diopter and axial length were observed before and after treatment. The therapeutic effects were evaluated.

RESULTSAfter treatment, the visual acuity of the naked eyes, and diopter were remarkably improved in the patients of the two groups (all<0.05). The improvements in the observation group were better than those in the control group (both<0.05). The axial length did not change in the two groups (both>0.05). The total effective rate was 78.3% (130/166) in the observation group, which was better than 57.8% (96/166) in the control group (<0.05). .

CONCLUSION 's stunt needling technique effectively improves the vision, rectifies the refractive error and delays the progression of myopia. The therapeutic effects of it are better than traditional even needling technique.

Cryptogenic stroke refers to ischemic stroke that is not clear to the cause of the disease through routine examinations. With the development of medical technology, studies have found that most cryptogenic stroke is caused by embolism.Therefore,the concept of embolic stroke of undetermined source (ESUS) is proposed. The main causes of ESUS include subclinical atrial fibrillation, patent foramen ovale, aortic arch atherosclerotic plaque, non-stenotic complex carotid atherosclerotic plaques, and tumor-related embolism, etc. This article reviews the etiology and secondary prevention of ESUS.