BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to p...BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to premalignant and malignant,posing a diagnostic challenge.Accurate differentiation is critical,as premalignant and malignant PCNs often require surgical intervention,while benign cysts may only need monitoring unless symptomatic.Current diagnostic methods,including cross-sectional imaging,endoscopic ultrasonography,and endoscopic ultrasonography-guided fine-needle aspiration/biopsy,are specialized,not universally available,and have variable accuracy.Clinical and laboratory parameters such as carbohydrate antigen 19-9(CA 19-9),neutrophillymphocyte ratio,platelet-lymphocyte ratio,and red cell distribution width(RDW)have been associated with malignancy risk,though only CA 19-9 is guideline-supported.AIM To assess the malignancy risk of PCNs using preoperative clinical and routine laboratory parameters.METHODS A retrospective cohort study analyzed 70 patients who underwent surgery for PCNs at Ankara Bilkent City Hospital between February 2019 and March 2023.Patients were categorized into group A(benign or low-grade dysplasia,n=40)and group B(malignancy or high-grade dysplasia,n=30)based on postoperative pathology.Preoperative demographic and laboratory parameters,including age,RDW,albumin,and CA 19-9,were compared.Univariate and multivariate logistic regression analyses identified independent predictors of malignancy.Receiver operating characteristic curve analysis evaluated predictive performance,with internal validation using bootstrapping.RESULTS Group B patients were older(69.86±9.58 years vs 52.74±16.85 years,P<0.001)and had a higher incidence of diabetes mellitus(57.1%vs 21.4%,P=0.002).RDW(16.2%vs 13.7%,P<0.001),platelet-lymphocyte ratio(178 vs 126,P=0.008),and CA 19-9(21.7 U/mL vs 9.3 U/mL,P=0.009)were significantly higher in group B,while albumin was lower(41 g/L vs 45 g/L,P=0.008).Multivariate analysis identified age[odds ratio=1.067,95%confidence interval(CI):1.014-1.122,P=0.012]and RDW(odds ratio=1.784,95%CI:1.172-2.715,P=0.007)as independent predictors.The area under the curve for age,RDW,and their combination was 0.798(95%CI:0.695-0.900),0.801(95%CI:0.692-0.911),and 0.858(95%CI:0.771-0.944),respectively,with bootstrapped validation confirming stability.Cut-off values of age≥60 years and RDW≥15.5%balanced sensitivity and specificity,increasing malignancy risk 15.3-fold and 22.6-fold,respectively.CONCLUSION Age and RDW are independent predictors of malignancy in PCNs,aiding in patient selection for advanced diagnostics and surgery.Larger,multicenter studies are needed to validate these findings.展开更多
Miniaturized functional fluidic pumps have found broad applications across various fields;however,the fabrication and dimensional limitations of their electrodes remain a significant challenge.Conventional manufacturi...Miniaturized functional fluidic pumps have found broad applications across various fields;however,the fabrication and dimensional limitations of their electrodes remain a significant challenge.Conventional manufacturing techniques often fail to achieve high aspect ratio structures exceeding 2 and electrode heights greater than 1 mm.In this work,we propose a novel extreme microfabrication strategy that integrates flexible molding techniqueswith advancedmicrofabrication processes to develop highprecision pump electrodes.These electrodes are successfully implemented in droplet manipulation applications.First,we selected suitable microfabrication-compatible materials and developed a conductive,flexible liquid elastomer,along with a tailored fabrication process.Next,a functional working fluid compatible with the electrodes was synthesized and characterized in terms of its viscosity,electrical conductivity,dielectric constant,and interfacial behavior with aqueous phases.A corresponding microfluidic chip was also fabricated to assess its droplet generation performance.Both duty cycle-based and frequency-based droplet manipulation strategies were investigated using this chip.Finally,a machine learning approach was employed to model the droplet generation process and evaluate the influence of four key parameters on device performance.This study establishes a foundational platform and design pathway for future development of integrated on-chip pumping systems inmicrofluidic applications.展开更多
文摘BACKGROUND Pancreatic cystic neoplasms(PCNs)are increasingly detected due to advancements in radiographic techniques,with a prevalence of approximately 15%in the general population.These lesions range from benign to premalignant and malignant,posing a diagnostic challenge.Accurate differentiation is critical,as premalignant and malignant PCNs often require surgical intervention,while benign cysts may only need monitoring unless symptomatic.Current diagnostic methods,including cross-sectional imaging,endoscopic ultrasonography,and endoscopic ultrasonography-guided fine-needle aspiration/biopsy,are specialized,not universally available,and have variable accuracy.Clinical and laboratory parameters such as carbohydrate antigen 19-9(CA 19-9),neutrophillymphocyte ratio,platelet-lymphocyte ratio,and red cell distribution width(RDW)have been associated with malignancy risk,though only CA 19-9 is guideline-supported.AIM To assess the malignancy risk of PCNs using preoperative clinical and routine laboratory parameters.METHODS A retrospective cohort study analyzed 70 patients who underwent surgery for PCNs at Ankara Bilkent City Hospital between February 2019 and March 2023.Patients were categorized into group A(benign or low-grade dysplasia,n=40)and group B(malignancy or high-grade dysplasia,n=30)based on postoperative pathology.Preoperative demographic and laboratory parameters,including age,RDW,albumin,and CA 19-9,were compared.Univariate and multivariate logistic regression analyses identified independent predictors of malignancy.Receiver operating characteristic curve analysis evaluated predictive performance,with internal validation using bootstrapping.RESULTS Group B patients were older(69.86±9.58 years vs 52.74±16.85 years,P<0.001)and had a higher incidence of diabetes mellitus(57.1%vs 21.4%,P=0.002).RDW(16.2%vs 13.7%,P<0.001),platelet-lymphocyte ratio(178 vs 126,P=0.008),and CA 19-9(21.7 U/mL vs 9.3 U/mL,P=0.009)were significantly higher in group B,while albumin was lower(41 g/L vs 45 g/L,P=0.008).Multivariate analysis identified age[odds ratio=1.067,95%confidence interval(CI):1.014-1.122,P=0.012]and RDW(odds ratio=1.784,95%CI:1.172-2.715,P=0.007)as independent predictors.The area under the curve for age,RDW,and their combination was 0.798(95%CI:0.695-0.900),0.801(95%CI:0.692-0.911),and 0.858(95%CI:0.771-0.944),respectively,with bootstrapped validation confirming stability.Cut-off values of age≥60 years and RDW≥15.5%balanced sensitivity and specificity,increasing malignancy risk 15.3-fold and 22.6-fold,respectively.CONCLUSION Age and RDW are independent predictors of malignancy in PCNs,aiding in patient selection for advanced diagnostics and surgery.Larger,multicenter studies are needed to validate these findings.
基金funded by the National Natural Science Foundation of China(No.52505072)the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems under Grant GZKF-202307the Independent Research Project of the State Key Laboratory of Fluid Power and Mechatronic Systems under Grant SKLoFP_ZZ_2513 and Aeronautical Science Foundation(Grant No.20220028076003).
文摘Miniaturized functional fluidic pumps have found broad applications across various fields;however,the fabrication and dimensional limitations of their electrodes remain a significant challenge.Conventional manufacturing techniques often fail to achieve high aspect ratio structures exceeding 2 and electrode heights greater than 1 mm.In this work,we propose a novel extreme microfabrication strategy that integrates flexible molding techniqueswith advancedmicrofabrication processes to develop highprecision pump electrodes.These electrodes are successfully implemented in droplet manipulation applications.First,we selected suitable microfabrication-compatible materials and developed a conductive,flexible liquid elastomer,along with a tailored fabrication process.Next,a functional working fluid compatible with the electrodes was synthesized and characterized in terms of its viscosity,electrical conductivity,dielectric constant,and interfacial behavior with aqueous phases.A corresponding microfluidic chip was also fabricated to assess its droplet generation performance.Both duty cycle-based and frequency-based droplet manipulation strategies were investigated using this chip.Finally,a machine learning approach was employed to model the droplet generation process and evaluate the influence of four key parameters on device performance.This study establishes a foundational platform and design pathway for future development of integrated on-chip pumping systems inmicrofluidic applications.
