Objective To evaluate the efficacy and safety of a subanesthetic dose of esketamine in prevent-ing postoperative nausea and vomiting following carboprost administration during cesarean section.Methods One hundred thirty-five full-term singleton parturients,ASAⅠ-Ⅱ,aged 20-40 years,scheduled for elective cesarean section,were recruited.They were randomly assigned to three groups(n=45):the normal saline group(Group C),the palonosetron group(Group P),and the esketamine group(Group E).All parturients received combined spinal-epidural anesthesia,achieving a sensory level of T5-7.Following umbilical cord clamping,carboprost tromethamine was injected into the uterine body.Concurrently,Group C received intravenous normal saline,Group P received palonosetron,and Group E received esketamine.The incidence of nausea,vomiting,and chest discomfort was recorded from the time of carboprost administration until the parturients left the operating theater.Additionally,mean arterial pressure(MAP),heart rate(HR),oxygen saturation(SpO2),and Ramsay sedation scores were mea-sured at six time points:upon entering the room(T0),1 minute before intervention(T1),2 minutes(T2),5 min-utes(T3),15 minutes(T4),and 30 minutes(T5)post-intervention.Maternal satisfaction was evaluated as the parturients left the operating room.Results Compared with group C,the incidence of nausea,vomiting,and chest discomfort in group E was significantly lower(all P<0.05).Additionally,group E showed a significantly lower incidence of nausea and chest discomfort compared to group P(all P<0.05).In terms of maternal satisfaction,group E reported significantly higher levels than both group C(P<0.05)and group P(P<0.05).No significant differences were observed in the incidence of nausea,vomiting,chest discomfort,or satisfaction between the other groups(P>0.05).Conclusion The administration of subanesthetic doses of esketamine significantly decreases the incidence of adverse effects such as nausea,vomiting,and chest tightness that are commonly associated with carboprost tromethamine use during cesarean sections,thereby enhancing patient satisfaction in the perioperative period.

Objective To observe the value of 80 kVp combined with artificial intelligence iterative reconstruction(AIIR)in lower extremity CT angiography(CTA)of diabetic foot.Methods Sixty patients with diabetic foot were prospectively enrolled and divided into experimental group and control group(each n=30).Lower extremity CTA was performed using 80 kVp combined with AIIR in experimental group,while using 120 kVp combined with hybrid iterative reconstruction(HIR)in control group.The subjective and objective evaluation results of imaging quality,as well as the radiation dose of scanning were compared between groups.Results Compared with control group,images in experimental group showed higher subjective scores(5[5,5]vs.4[4,4]),displayed more branches of lower limb arteries(both P＜0.05),while the radiation dose decreased by 59.76％ ([8.29±0.53]mSv vs.[20.60±2.42]mSv).CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each lower extremity artery segments were higher,while the noise of each lower extremity artery segments in experimental group were lower than those in control group(all P＜0.05).Conclusion 80 kVp combined with AIIR could reduce radiation dose and improve imaging quality of lower extremity CTA of diabetic foot,hence being helpful to displaying small arteries of lower extremity,such as dorsalis pedis arteries and common plantar metatarsal arteries.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Endometriosis is an estrogen-dependent chronic inflammatory disease that affects 5%to 10%of women of reproductive age worldwide.Its typical symptoms include dysmenorrhea,infertility,and chronic pelvic pain,which seriously affect quality of life.The tradi-tional diagnostic methods include ultrasonography,magnetic resonance imaging,and laparoscopy.Among these,laparoscopy is considered the gold standard for diagnosis.However,its invasive nature limits its widespread application.Recently,artificial intelligence has rapidly advanced in the diagnosis of endometriosis,significantly improving the accuracy and efficiency of early diagnosis by integrating imaging,clinical data,and biomarkers.This article summarizes the limitations of traditional diagnostic methods for endometriosis and the advance-ments in the application of artificial intelligence in the diagnosis of endometriosis,while exploring the potential of artificial intelligence using practical case studies.

[Objective] To compare the clinical efficacy of super pulse thulium laser enucleation of the prostate (SPThuLEP) with "open tunnel" and transurethral holmium laser enucleation of the prostate (HoLEP) in the treatment of benign prostatic hyperplasia (BPH), in order to provide reference for the treatment options of BPH. [Methods] The clinical data of 112 BPH patients treated in our hospital during Jan.2023 and Jul.2023 were retrospectively analyzed, including 65 treated with SPThuLEP with "open tunnel" and 57 with HoLEP.The operation time, postoperative hemoglobin decrease, postoperative bladder irrigation, catheter indwelling time, hospitalization time and complications were compared between the two groups.The changes of maximum urine flow rate (Qmax), international prostate symptom score (IPSS), quality of life score (QoL), postvoid residual (PVR) and prostate-specific antigen (PSA) were compared between the two groups before operation and one month after operation. [Results] All operations were successful without conversion to open or transurethral plasmakinetic resection.The postoperative decrease of hemoglobin in SPThuLEP group was lower than that in HoLEP group [(13.12±6.72) g/L vs. (21.02±6.51) g/L], with statistical difference (P<0.05). There were no significant differences in the operation time [(63.35±15.73) min vs.(61.02±17.55) min], postoperative bladder irrigation time [(1.07±0.45) d vs. (1.06±0.36) d], catheter indwelling time [(2.98±0.56) d vs. (3.01±0.63) d] and hospitalization time [(3.63±0.61) d vs.(3.79±0.76) d] between the two groups (P>0.05). No blood transfusion, secondary bleeding or unplanned hospitalization occurred, and there were no serious complications such as transurethral electroresection syndrome (TURS), urethral stricture and urinary incontinence.One month after operation, the Qmax, IPSS, QoL, PVR and PSA of the two groups were significantly improved compared with those before operation (P<0.05), but with no statistical difference between the two groups (P>0.05). [Conclusion] SPThuLEP with "open tunnel" has comparable efficacy as HoLEP in the treatment of BPH.With advantages of small amount of bleeding and high safety, this minimally invasive technique can be widely popularized in clinical practice.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Endometriosis is an estrogen-dependent chronic inflammatory disease that affects 5%to 10%of women of reproductive age worldwide.Its typical symptoms include dysmenorrhea,infertility,and chronic pelvic pain,which seriously affect quality of life.The tradi-tional diagnostic methods include ultrasonography,magnetic resonance imaging,and laparoscopy.Among these,laparoscopy is considered the gold standard for diagnosis.However,its invasive nature limits its widespread application.Recently,artificial intelligence has rapidly advanced in the diagnosis of endometriosis,significantly improving the accuracy and efficiency of early diagnosis by integrating imaging,clinical data,and biomarkers.This article summarizes the limitations of traditional diagnostic methods for endometriosis and the advance-ments in the application of artificial intelligence in the diagnosis of endometriosis,while exploring the potential of artificial intelligence using practical case studies.

In recent years, generative artificial intelligence (AI) technologies have achieved remarkable progress in the early screening, risk prediction, disease progression assessment, and clinical trial design of glaucoma.Using advanced algorithms, such as generative adversarial networks, variational autoencoders, and diffusion models, researchers have synthesized high-quality structural images of the optic disc, macular region, and retinal nerve fiber layer, which effectively alleviates the limitations of scarce clinical imaging data and label imbalance.These methods have substantially improved the accuracy and generalization of deep learning models in visual field defect prediction, structure-function mapping, and longitudinal disease progression simulation.Meanwhile, multimodal generative approaches that integrate imaging data, visual field tests, and clinical features have facilitated individualized prediction of glaucoma progression.In addition, large language models have shown preliminary potential in ophthalmic image interpretation, clinical text information extraction, and decision support, providing new insights into intelligent ophthalmic diagnosis and treatment.However, the clinical implementation of generative AI in glaucoma faces challenges.The pathological authenticity and cross-device consistency of generated images require further validation, which may affect the reliability of early glaucoma detection.The heterogeneous characteristics of different glaucoma subtypes, such as open-angle and angle-closure glaucoma, also limit the generalization of synthetic data.Moreover, issues related to model interpretability (" black-box" nature), artifact generation, data privacy, and ethical governance remain key barriers to clinical translation.In the future, it is expected that establishing large-scale training frameworks that incorporate multicenter, multimodal, and multiethnic datasets will enhance model robustness and clinical applicability.Furthermore, generative AI may contribute to remote ophthalmic care and personalized precision therapy by enhancing low-quality image, reconstructing missing data, and simulating dynamic disease courses.This article reviews the current applications, core technologies, and challenges of generative AI in glaucoma diagnosis and management, and discusses its future directions and translational potential in clinical ophthalmology.

BACKGROUND:Traditional total knee arthroplasty has limited preoperative preparation. We propose a digital precision total knee arthroplasty based oncomputer simulation and 3D printing technology,aiming to enhance surgical outcomes through comprehensive preoperative planning. OBJECTIVE:To establish a digital precision total knee arthroplasty using computer simulation and personalized surgical guides,and to compare the clinicaloutcomes between the new and traditional approaches.METHODS:A retrospective analysis was conducted on 97 patients who underwent total knee arthroplasty. Patients were divided into two groups based on the surgical method they received. The control group (n=48) underwent total knee arthroplasty using traditional methods and used conventional film templates. The observation group (n=49) underwent surgery using the digital precision total knee arthroplasty and utilized computer-assisted technology to select prosthetic sizes. Surgical time,intraoperative blood loss,preoperative and postoperative Hospital for Special Surgery knee joint function scores,as well as the differences in femoral alignment,knee joint line angle and tibial slope,and hip-knee-ankle angle compared to standard angles were compared between the two groups.RESULTS AND CONCLUSION:(1) There were no significant differences in gender,age,body mass index,Hospital for Special Surgery knee scores,as well as the differences in tibial slope,femoral alignment,knee joint line angle,hip-knee-ankle angle compared to standard angles between the two groups (P>0.05). (2) Compared to the control group,the observation group showed shorter surgical time,reduced blood loss,and significant increases in knee joint Hospital for Special Surgery knee scores at 3 months postoperatively compared to preoperative scores (P>0.05). Additionally,the postoperative Hospital for Special Surgery knee scores were higher in the observation group than in the control group (P>0.05). (3) The differences in tibial slope,femoral alignment,knee joint line angle,and hip-knee-ankle angle compared to standard angles were significantly different between the two groups;the observation group was better than the control group (P<0.05). (4) The accuracy of predicting femoral implant size was 94％ in the observation group and 58％ in the control group,while the accuracy of predicting tibial implant size was 96％ in the observation group and 62％ in the control group. (5) It is indicated that digital precision total knee arthroplasty results in shorter surgical time,reduced blood loss,and better postoperative knee joint function scores and alignment compared to traditional total knee arthroplasty. It demonstrates favorable clinical outcomes.

Objective:To analyze the endoscopic and clinicopathological characteristics of Helicobacter pylori ( HP)-negative early gastric cancer (EGC). Methods:A retrospective study was conducted on data of patients who were diagnosed as having EGC at the Affiliated Hospital of Qingdao University between June 2013 and March 2024. Cases meeting the diagnostic criteria for HP-negative status were included. Endoscopic findings and histopathological features of HP-negative EGC were systematically analyzed. Results:Among 698 EGC patients, 29 (4.2%) were identified as HP-negative. The age at diagnosis was 59.9±10.0 years, with marked female predominance (69.0%, 20/29 VS 31.0% males, 9/29). A body mass index ≥24 kg/m 2 was observed in 69.0% (20/29). Regarding therapeutic approaches, endoscopic submucosal dissection was performed in 89.7% (26/29). Among the 29 patients with a total of 30 lesions, the majority were localized to the middle third of the stomach (40.0%, 12/30), or the upper third (36.7%, 11/30). Differentiated-type accounted for 73.3% (22/30) among the histological types, including 13 oxyntic gland adenoma (OGA) / gastric adenocarcinoma of fundic-gland type (GA-FG) (upper third: 7; middle third: 6), and 2 gastric adenocarcinomas of fundic-gland mucosa type (GA-FGM) (both upper third). White-light endoscopy revealed polypoid or small submucosal tumor-like protrusions with whitish or erythematous discoloration and characteristic branching dilated vessels on the surface. Among the OGA/GA-FG lesions, 8 exhibited indistinct demarcation lines (DL). Additionally, both GA-FGM lesions demonstrated poorly defined DL. Three gastric adenocarcinomas of foveolar-type (GA-FV) were identified (upper/middle/lower third: 1 each), with 2 presenting as erythematous elevated masses. Five signet ring cell carcinomas (upper/middle/lower third: 1/3/1) exhibited flat or shallow depressed morphology with whitish or erythematous discoloration under white-light endoscopy; 3 exhibited well-demarcated borders. Four pyloric gland adenocarcinomas and three poorly differentiated tubular adenocarcinomas showed no significant differences in endoscopic features on white-light and narrow-band imaging compared to HP-positive EGC. No intestinal-type adenocarcinomas were identified. Conclusion:HP-negative EGC exhibit distinct endoscopic and clinicopathological characteristics, including female predominance and frequent differentiated histology, and upper/middle-third localization of elevated lesions, primarily OGA/GA-FG.