Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Objective To explore the feasibility and safety of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules during thoracoscopic wedge resection. Methods Patients who underwent CT-guided percutaneous lung puncture injection of localization agents to locate lung nodules at the First Affiliated Hospital of Fujian Medical University from November 2023 to January 2024 were selected. Under thoracoscopy, lung nodules were located by white light mode, fluorescence mode, or near-infrared mode and wedge resection was performed. The feasibility of using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules was preliminarily verified by evaluating whether the localization agent concentrated around the nodules, and the safety of this method was verified by analyzing the incidence of adverse reactions during patient puncture and surgery. Results A total of 30 patients with lung nodules were included, including 10 males and 20 females, with an average age of (55.5±11.2) years. In 26 patients, the amount of localization agent used was moderate, the localization agent concentrated around the nodules, and successful precise localization of small lung nodules was achieved. In 4 patients, due to excessive use of localization agent, the marker was diffuse with pleural staining. The overall localization success rate was 86.7%, and when the injection volume of localization agent was 0.2-0.5 mL, the localization success rate was 100.0%. All patients successfully completed thoracoscopic wedge resection and found nodule lesions, with negative margins and a distance from the margin to the lesion that met the requirements. There were no complications. Conclusion Thoracoscopic surgery using indocyanine green combined with autologous blood and methylene blue for localization of small lung nodules is safe and feasible.

Objective To investigate the prognosis and satisfaction of the R2 intervention procedure and develop related predictive models. Methods The clinical data of 64 patients with primary craniofacial hyperhidrosis who underwent R2 intervention surgery at the First Affiliated Hospital of Fujian Medical University from November 2018 to October 2022 were retrospectively analyzed. By statistically analyzing the risk factors for compensatory hyperhidrosis (CH) and satisfaction, and conducting feature screening, a relevant prediction model was established. Results Finally, 51 patients were collected, including 43 (84.3%) males and 8 (15.7%) females, with an average age of (30.27±7.22) years. Overall postoperative satisfaction was high, with only 5.9% of patients expressing regret about the surgery. However, 92.2% of patients experienced CH. The onset of postoperative CH was most prominent within the first 3 months postoperatively, with the incidence rate stabilizing thereafter. Preoperative heart rate and R2 sympathetic nerve clipping were identified as independent risk factors for severe CH. The preoperative body mass index, the degree of sweating in the chest and abdomen, are significantly correlated with postoperative satisfaction. Conclusion The R2 intervention surgery effectively alleviates the symptoms of primary craniofacial hyperhidrosis, and patient satisfaction is high.

Compensatory hyperhidrosis (CH) is a severe side effect that occurs after endoscopic thoracic sympathotomy (ETS) for the treatment of palmar hyperhidrosis. CH significantly interferes with daily activities such as work, study, and social interactions, leading to a substantial decrease in the quality of life for patients. Preventing and treating CH are currently important and challenging issues in minimally invasive surgery for palmar hyperhidrosis. In this report, we presented a 29-year-old male patient who experienced severe CH for 8 years following ETS. The patient underwent staged unilateral endoscopic expanded sympathotomy (ES) at our hospital on December 11, 2023 and January 3, 2024, targeting the R4-R10 levels. After a 3-month follow-up, the patient experienced significant improvement in clinical symptoms and quality of life, with no recurrence of palmar hyperhidrosis or other complications. The treatment outcome was satisfactory.

Background::Although the treatment of peripheral T-cell lymphoma (PTCL) has undergone advancements during the past several years, the response rate and long-term effects with respect to patients with PTCL remain unsatisfactory—particularly for relapsed or refractory (R/R) patients. This phase II trial was designed to explore the efficacy and safety of an all-oral regimen of chidamide plus prednisone, cyclophosphamide, and thalidomide (CPCT) for R/R PTCL patients who could not tolerate the standard chemotherapy for a variety of reasons.Methods::We conducted a multicenter phase II clinical trial in which we combined chidamide (30 mg twice weekly) with prednisone (20 mg daily after breakfast), cyclophosphamide (50 mg daily after lunch), and thalidomide (100 mg daily at bedtime) (the CPCT regimen) for a total of fewer than 12 cycles as an induction-combined treatment period, and then applied chidamide as single-drug maintenance. Forty-five patients were ultimately enrolled from August 2016 to April 2021 with respect to Chinese patients at nine centers. Our primary objective was to assess the overall response rate (ORR) after the treatment with CPCT.Results::Of the 45 enrolled patients, the optimal ORR and complete response (CR)/CR unconfirmed (CRu) were 71.1% (32/45) and 28.9% (13/45), respectively, and after a median follow-up period of 56 months, the median progression-free survival (PFS) and overall survival (OS) were 8.5 months and 17.2 months, respectively. The five-year PFS and OS rates were 21.2% (95% confidence interval [CI], 7.9-34.5%) and 43.8% (95% CI, 28.3-59.3%), respectively. The most common adverse event was neutropenia (20/45, 44.4%), but we observed no treatment-related death.Conclusion::The all-oral CPCT regimen was an effective and safe regimen for R/R PTCL patients who could not tolerate standard chemotherapy for various reasons.Trial Registration::ClinicalTrials.gov, NCT02879526.

Objective To investigate the expression and prognostic value of serum receptor for advanced glycation end products(RAGE)and CXC-chemokine ligand 16(CXCL16)in patients with sepsis complicated with acute respiratory distress syndrome(ARDS).Methods A total of 234 patients with sepsis diagnosed and treated in a hospital from January 2019 to January 2022 were selected as the study subjects,and were divided into 82 patients with sepsis complicated with ARDS(ARDS group)and 152 patients with sepsis without ARDS(non-ARDS group)according to whether the subjects were complicated with ARDS.ARDS group was divided into survival group(n=50)and death group(n=32)according to the survival status within 28 days of admission.Another 60 healthy subjects who underwent physical examination in the same period were se-lected as the control group.Serum RAGE and CXCL16 levels were detected by enzyme-linked immunosorbent assay.Pearson correlation analysis of serum RAGE and CXCL16 levels with sequential organ failure assess-ment(SOFA)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score and oxygenation index in patients with sepsis and ARDS.Multivariate Logistic regression analysis of prognostic factors of sep-sis complicated with ARDS.The predictive value of serum RAGE and CXCL16 on the prognosis of sepsis complicated with ARDS patients was analyzed by receiver operating characteristic curve.Results The serum RAGE and CXCL16 levels in ARDS group were higher than those in non-ARDS group and control group,and the serum RAGE and CXCL16 levels in non-ARDS group were higher than those in control group,the differ-ence was statistically significant(P＜0.05).Compared with the survival group,the mechanical ventilation time,intensive care unit stay time,procalcitonin,SOFA score,APACHE Ⅱ score,serum RAGE,CXCL16 lev-els were higher in the death group,and the oxygenation index was lower,with statistical significance(all P＜0.05).The serum RAGE level in patients with sepsis complicated with ARDS was positively correlated with SOFA score and APACHE Ⅱ score(r=0.603,0.671,P＜0.05).Serum CXCL16 levels were positively corre-lated with SOFA score and APACHE Ⅱ score(r=0.655,0.707,P＜0.05).Serum RAGE and CXCL16 were negatively correlated with oxygenation index(r=-0.712,-0.683,P＜0.05).Multi-factor Logistics regres-sion analysis showed that serum RAGE and CXCL16 were independent risk factors for death within 28 days of admission in patients with sepsis complicated with ARDS.The area under the curve(AUC)of combined de-tection of serum RAGE and CXCL16 for predicting death within 28 days of admission in patients with sepsis complicated with ARDS was 0.882,which was higher than that of single index detection of serum RAGE and CXCL16,and the difference was statistically significant(Z=4.450,4.906,P＜0.05).Conclusion The com-bined detection of serum RAGE and CXCL16 is helpful to evaluate the clinical prognosis of sepsis complicated with ARDS patients.

Background/Aims: The aim of this study was to analyze the chronological changes in postoperative complications in surgical ulcerative colitis patients over the past decade in China and to investigate the potential parameters that contributed to the changes. Methods: Ulcerative colitis patients who underwent surgery during 2008–2017 were retrospectively enrolled from 13 hospitals in China. Postoperative complications were compared among different operation years. Risk factors for complications were identified by logistic regression analysis. Results: A total of 446 surgical ulcerative colitis patients were analyzed. Fewer short-term complications (24.8% vs. 41.0%, P=0.001) and more laparoscopic surgeries (66.4% vs. 25.0%, P<0.001) were found among patients who received surgery during 2014–2017 than 2008–2013. Logistic regression suggested that independent protective factors against short-term complications were a higher preoperative body mass index (odds ratio [OR], 0.870; 95% confidence interval [CI], 0.785–0.964; P=0.008), laparoscopic surgery (OR, 0.391; 95% CI, 0.217–0.705; P=0.002) and elective surgery (OR, 0.213; 95% CI, 0.067–0.675; P=0.009). The chronological decrease in short-term complications was associated with an increase in laparoscopic surgery. Conclusions Our data revealed a downward trend of short-term postoperative complications among surgical ulcerative colitis patients in China during the past decade, which may be due to the promotion of minimally invasive techniques among Chinese surgeons.

Objective:To explore the feasibility of a classification prediction model for gamma pass rates (GPRs) under different intensity-modulated radiation therapy techniques for pelvic tumors using a radiomics-based machine learning approach, and compare the classification performance of four integrated tree models.Methods:With a retrospective collection of 409 plans using different IMRT techniques, the three-dimensional dose validation results were adopted based on modality measurements, with a GPR criterion of 3%/2 mm and 10% dose threshold. Then prediction were built models by extracting radiomics features based on dose documentation. Four machine learning algorithms were used, namely random forest (RF), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM). Their classification performance was evaluated by calculating sensitivity, specificity, F1 score, and AUC value. Results:The RF, AdaBoost, XGBoost, and LightGBM models had sensitivities of 0.96, 0.82, 0.93, and 0.89, specificities of 0.38, 0.54, 0.62, and 0.62, F1 scores of 0.86, 0.81, 0.88, and 0.86, and AUC values of 0.81, 0.77, 0.85, and 0.83, respectively. XGBoost model showed the highest sensitivity, specificity, F1 score, and AUC value, outperforming the other three models. Conclusions:To build a GPR classification prediction model using a radiomics-based machine learning approach is feasible for plans using different intensity-modulated radiotherapy techniques for pelvic tumors, providing a basis for future multi-institutional collaborative research on GPR prediction.

【Objective】 To establish a method for detecting human immunoglobulin Fc function based on surface plasmon resonance technology. 【Methods】 Based on the characteristic that FcγRI can be binded to the Fc segment of IgG, the affinity constant of the sample was detected by surface plasmon resonance, and its Fc function was the KD ratio of the sample to the standard. The method was validated for specificity/specificity, precision and robustness. The method and the pharmacopoeia method were used to detect the Fc function of 30 human immunoglobulins, and the correlation and consistency of the detection results were analyzed. 【Results】 The method validation results showed that this method has strong specificity/specificity (t values were 0.15, 0.22, both P>0.05), good precision (CV value 5.37%~10.69%) and good robustness (CV value 10.06%). The detection results of this method and the pharmacopoeia method have high correlation (r=0.96, P<0.05) and high consistency (Bias-2.060, 95% Limits of Agreement-5.628~1.508). 【Conclusion】 A method for detecting human immunoglobulin Fc function based on surface plasmon resonance has been successfully established.

Objective: To analyze the distribution of uncorrected visual acuity in children and adolescents aged 3-18 years with relative safe refractive range, and to develop the growth curve and reference range of uncorrected visual acuity in children and adolescents of different ages, so as to provide reference for formulating the referral threshold for myopia screening practice. Methods: Using cluster sampling method, 9 146 children and adolescents aged 3-18 years old in Shanghai were selected for uncorrected visual acuity, cycloplegic refraction, slit lamp and other ophthalmic examinations, and the percentiles and growth curve of uncorrected visual acuity of children and adolescents in the relative safe refractive range were fitted by LMS method. Besides, the area under the ROC curve and the sensitivity and specificity of different cut-off values were analyzed. Results: The uncorrected visual acuity was skewed, with a median of 4.8. There were 4 675 individuals with safe refraction, the median of uncorrected visual acuity in which was 4.9. The LMS curve showed that the uncorrected visual acuity increased with age in the lower age group, and gradually stabilized to the best level at the age of 6-10. P 50 was 4.8 in 3-4 years old, 4.9 in 5-8 years old, 5.0 in 9 years old and above. The area under ROC curve of uncorrected visual acuity predicting refractive abnormality increased with age, with the lowest value of 0.55(95%CI=0.50-0.61) at 3 years old and the highest value of 0.95 (95%CI=0.94-0.96) at 12-18 years old. The Youden index was the highest for P25 at 3-6 years old, and the highest for P 10 at 7 years old and above. With the increase of the cut off value, the sensitivity increased and the specificity decreased. Conclusion The uncorrected visual acuity increases gradually with age, and reaches the best level after 6-10 years old. The screening effect of uncorrected visual acuity predicting refractive abnormality increased with age. It is suggested that the referral threshold of children and adolescents with abnormal uncorrected visual acuity should be set according to their ages, and P 25-P 75 can be selected according to the screening purposes.