ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

ObjectiveIn recent years, with the intensification of environmental issues and the depletion of ozone layer, incidence of skin tumors has also significantly increased, becoming one of the major threats to people’s lives and health. However, due to factors such as high concealment in the early stage of skin tumors, unclear symptoms, and large human skin area, most cases are detected in the middle to late stage. Early detection plays a crucial role in postoperative survival of skin tumors, which can significantly improve the treatment and survival rates of patients. We proposed a rapid non-invasive electrical impedance detection method for early screening of skin tumors based on bioimpedance spectroscopy (BIS) technology. MethodsFirstly, we have established a complete skin stratification model, including stratum corneum, epidermis, dermis, and subcutaneous tissue. And the numerical analysis method was used to investigate the effect of dehydrated and dry skin stratum corneum on contact impedance in BIS measurement. Secondly, differentiation effect of different diameter skin tumor tissues was studied using a skin model after removing the stratum corneum. Then, in order to demonstrate that BIS technology can be used for detecting the microinvasion stage of skin tumors, we conducted a simulation study on the differentiation effect of skin tumors under different infiltration depths. Finally, in order to verify that the designed BIS detection system can distinguish between tumor microinvasion periods, we conducted tumor invasion experiments using hydrogel treated pig skin tissue. ResultsThe simulation results show that a dry and high impedance stratum corneum will bring about huge contact impedance, which will lead to larger measurement errors and affect the accuracy of measurement results. We extracted the core evaluation parameter of relaxed imaginary impedance (Z_imag-relax) from the simulation results of the skin tumor model. When the tumor radius (R_tumor) and invasion depth (h)>1.5 mm, the designed BIS detection system can distinguish between tumor tissue and normal tissue. At the same time, in order to evaluate the degree of canceration in skin tissue, the degree of tissue lesion (ε_worse) is defined by the relaxed imaginary impedance (Z_imag-relax) of normal and tumor tissue (ε_worse is the percentage change in virtual impedance of tumor tissue relative to that of normal tissue), and we fitted a Depth-Z_imag-relax curve using relaxation imaginary impedance data at different infiltration depths, which can be applied to quickly determine the infiltration depth of skin tumors after being supplemented with a large amount of clinical data in the future. The experimental results proved that when ε_worse=0.492 0, BIS could identify microinvasive tumor tissue, and the fitting curve correction coefficient of determination was 0.946 8, with good fitting effect. The simulation using pig skin tissue correlated the results of real human skin simulation with the experimental results of pig skin tissue, proving the reliability of this study, and laying the foundation for further clinical research in the future. ConclusionOur proposed BIS method has the advantages of fast, real-time, and non-invasive detection, as well as high sensitivity to skin tumors, which can be identified during the stage of tumor microinvasion.

Objective:To investigate the application value of ultrasound technology in transurethral enucleation and resection of the prostate(TUERP).Methods:This study included 78 BPH patients admitted in our hospital from June 2021 to June 2023,aged 70.68±8.63 years and with the indication of surgery.We randomly divided them into two groups to receive TUERP(the control group,n=39)and ultrasound-assisted TUERP(the US-TUERP group,n=39).We statistically analyzed and compared the rele-vant parameters obtained before and after operation between the two groups.Results:No statistically significant differences were ob-served in the operation time and bladder irrigation time between the two groups(P>0.05).More glandular tissues were removed but less intraoperative bleeding and fewer perioperative complications occurred in the US-TUERP group than in the control.Compared with the baseline,IPSS,postvoid residual urine volume(PVR),quality of life score(QOL)and maximum urinary flow rate(Qmax)were significantly improved in both groups at 1 and 3 months after surgery,even more significantly in the US-TUERP than in the control group(P<0.05).Conclusion:US-TUERP helps achieve complete resection of the hyperplastic prostatic tissue along the surgical capsule at the anatomical level,with a higher safety,fewer perioperative complications,and better therapeutic effects.

Objective:To evaluate the safety and efficiency of robotic visualization system(RVS)-assisted microsurgical re-construction of the reproductive tract in male rats and the satisfaction of the surgeons.Methods:We randomly divided 8 adult male SD rats into an experimental and a control group,the former treated by RVS-assisted microsurgical vasoepididymostomy(VE)or vaso-vasostomy(VV),and the latter by VE or VV under the standard operating microscope(SOM).We compared the operation time,me-chanical patency and anastomosis leakage immediately after surgery,and the surgeons'satisfaction between the two groups.Results:No statistically significant difference was observed the operation time between the experimental and the control groups,and no anasto-mosis leakage occurred after VV in either group.The rate of mechanical patency immediately after surgery was 100％in both groups,and that of anastomosis leakage after VE was 16.7％in the experimental group and 14.3％in the control.Compared with the control group,the experimental group achieved dramatically higher scores on visual comfort(3.00±0.76 vs 4.00±0.53,P＜0.05),neck/back comfort(2.75±1.16 vs 4.38±1.06,P＜0.01)and man-machine interaction(3.88±1.55 va 4.88±0.35,P＜0.05).There were no statistically significant differences in the scores on image definition and operating room suitability between the two groups.Conclusion:RVS can be used in microsurgical reconstruction of the reproductive tract in male rats and,with its advantages over SOM in ergonomic design and image definition,has a potential application value in male reproductive system micosurgery.

Objective:To evaluate the safety and efficiency of China-made Toumai Robot-assisted laparoscopic radical prosta-tectomy(LRP).Methods:This study included 40 cases of PCa treated from January 2023 to May 2023 by robot-assisted LRP with preservation of the bladder neck and maximal functional urethral length,15 cases with the assistance of Toumai Robot(the TMR group)and the other 25 with the assistance of da Vinci Robot as controls(the DVR group).We recorded the docking time,laparo-scopic surgery time,vesico-urethral anastomosis time,intraoperative blood loss and postoperative urinary continence,and compared them between the two groups.Results:Operations were successfully completed in all the cases.No statistically significant differ-ences were observed between the TMR and DVR groups in the docking time(6 min vs 5 min,P＞0.05)or intraoperative blood loss(200 ml vs 150 ml,P＞0.05).The TMR group,compared with the DVR group,showed a significantly longer median laparoscopic surgery time(146 min vs 130 min,P＜0.05)and median vesico-urethral anastomosis time(19 min vs 16 min,P＜0.05).There were no statistically significant differences between the TMR and DVR groups in the rates of urinary continence recovery immediately af-ter surgery(60.0％[9/15]vs 64.0％[16/25],P＞0.05)or at 1 month(80.0％[12/15])vs(76.0％[19/25],P＞0.05),3 months(93.3％[14/15])vs(92.0％[23/25],P＞0.05)and 6 months postoperatively(100％[15/15])vs(96％[24/25],P＞0.05).Conclusion:China-made Toumai? Robot surgical system is safe and reliable for laparoscopic radical prosta-tectomy,with satisfactory postoperative recovery of urinary continence.

Objective:To explore the application of modified scrotoscopic surgery(MSS)in the treatment of testicular hydro-cele.Methods:We selected 45 cases of testicular hydrocele for this study,22 treated by traditional scrotoscopic surgery(TSS)and the other 23 by MSS,which was performed with a pin-shaped electrode bent inward at an angle of 60° instead of a circular electrode used in TSS.We recorded the general clinical data,operation time,incision length,intraoperative injury,incision infection,scrotal e-dema,postoperative hospital stay and postoperative Visual Analogue Scale(VAS)scores of the patients and compared them between the two groups.Results:There was no statistically significant difference in the general clinical data between the two groups(P＞0.05).Compared with the patients of the TSS group,those of the MSS group showed significantly shorter operative time([32.86±3.80]vs[26.13±2.81]min,P＜0.05),incision length([14.09±2.23]vs[8.73±1.48]mm,P＜0.05)and postopera-tive hospital stay([4.36±1.05]vs[2.00±0.90]d,P＜0.05),and achieved remarkably lower VAS scores on postoperative days 1(4.41±1.05 vs 3.09±0.79,P＜0.05),2(3.36±1.05 vs 2.78±1.13,P＜0.05),3(2.65±0.72 vs 1.74±0.86,P＜0.05)and 7(1.91±0.81 vs 1.04±0.82,P＜0.05).At 3 and 7 days after surgery,scrotal edema was markedly mil-der in the MSS than in the TSS group(P＜0.05).No testicular or epididymal damage,or wound infection occurred in either of the two groups.Conclusion:MSS is safe and effective in the treatment of testicular hydrocele,superior to TSS for its advantages of shorter operation time,smaller surgical incision,less postoperative pain and milder scrotal edema.

Hashimoto's thyroiditis(HT)is a common endocrine disease,which can be classified into the category of goiter disease in traditional Chinese medicine.Professor LIU Min believes that the pathogenesis of HT is closely related to the heart and gallbladder,and its pathogenesis is due to the gallbladder constraint failing to descend and the disturbance of pivot,together with insufficient heart-qi and the disharmony between the nutritive qi and the defensive qi.For the treatment of HT,the modified Chaihu Guizhi Decoction is often used,which is mainly composed of Bupleuri Radix,Cinnamomi Ramulus,Scutellariae Radix,Pinelliae Rhizoma Praeparatum,Ginseng Radix et Rhizoma Rubra,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Jujubae Fructus,Paeoniae Radix Alba,Os Draconis,Ostreae Concha,and Zingiberis Rhizoma Recens.Chaihu Guizhi Decoction has the actions of soothing gallbladder and relieving depression,restoring the function of shaoyang pivot,regulating nutritive qi and the defensive qi,and benefiting heart spirit,which exactly accords with the HT's pathogenesis of gallbladder constraint failing to descend and insufficient heart-qi.In the clinical treatment of HT,the modification of the drugs should be performed according to the concurrent syndromes of the patients,and the dosage of the drugs should also be adjusted.In addition to drug treatment,the attention should also be addressed to the adjustment of patients'lifestyle and dietary habits and to the emotional counseling,thus to achieve significant effect.

Objective To compare the efficacy and safety between hypofractionated radiotherapy(HyRt)and conventional radiotherapy after breast-conserving surgery.Methods This study was a single-center,prospective,randomized controlled study.Eighty-three patients with pTis-T2N0M0 breast cancer admitted to Tangshan People's Hospital from May 2017 to May 2019 were included.The patients received breast-conserving surgery+sentinel lymph node biopsy(SLNB).After surgery,they were treated with intensity modulated radiation therapy(IMRT).According to random table method,patients were divided into HyRt group(n=41)and conventional radiotherapy group(n=42).The dose of organs at risk,treatment efficacy,treatment failure modes,and radiotherapy related adverse reactions were analyzed in the two groups.The radiotherapy-related adverse reactions were evaluated according to NCI CTC AE Version 3.0,including radiation dermatitis,radiation pneumonia,breast/skin fibrosis,pulmonary fibrosis,etc.Results Eighty-three patients with breast cancer were included,with a median age of 44(26-67)years.There was no statistically significant difference in clinical parameters such as age(P=0.443),TNM stage(P=0.335),molecular typing(P=0.333),degree of differentiation(P=0.617),and pathological type(P=0.127)between the two groups of patients.Compared with conventional radiotherapy group,the V5(25.6％vs.33.8％,P=0.015),V20(13.3％vs.17.2％,P=0.042),and the mean radiation dose(MLD;7.4 Gy vs.10.4 Gy,P=0.020)of the affected lung of HyRt group significantly decreased.Only 3 patients in this study experienced distant metastasis,and no regional lymph node metastasis or local recurrence was observed.There was no significant difference in PFS rate at 2 years between HyRt group and conventional radiotherapy group(94.4％vs.85.2％,P=0.818).Compared with conventional radiotherapy group,the incidence of≥grade Ⅱ irradiation dermatitis in HyRt group was significantly reduced(2.4％vs.21.4％,P=0.015).There was no difference in the incidence of grade Ⅰ breast/skin fibrosis(19.5％vs.14.3％,P=0.570)between the two groups,and no grade Ⅲ radiotherapy-related side effects were observed in the two groups.Conclusions Compared with conventional radiotherapy with simultaneously integrated boosting-intensity modulated radiotherapy,the patients who received HyRt after breast-conserving surgery for early-stage breast cancer have good tolerance and low incidence of adverse reactions.HyRt can be used as the first option of radiation therapy.

Purpose::Ischemia and hypoxia are the main factors limiting limb replantation and transplantation. Static cold storage (SCS), a common preservation method for tissues and organs, can only prolong limb ischemia time to 4 - 6 h. The normothermic machine perfusion (NMP) is a promising method for the preservation of tissues and organs, which can extend the preservation time in vitro by providing continuous oxygen and nutrients. This study aimed to evaluate the difference in the efficacy of the 2 limb preservation methods. Methods::The 6 forelimbs from beagle dogs were divided into 2 groups. In the SCS group ( n = 3), the limbs were preserved in a sterile refrigerator at 4 °C for 24 h, and in the NMP group ( n = 3), the perfusate prepared with autologous blood was used for the oxygenated machine perfusion at physiological temperature for 24 h, and the solution was changed every 6 h. The effects of limb storage were evaluated by weight gain, perfusate biochemical analysis, enzyme-linked immunosorbent assay, and histological analysis. All statistical analyses and graphs were performed using GraphPad Prism 9.0 one-way or two-way analysis of variance. The p value of less than 0.05 was considered to indicate statistical significance. Results::In the NMP group, the weight gained percentage was 11.72% ± 4.06%; the hypoxia-inducible factor-1α contents showed no significant changes; the shape of muscle fibers was normal; the gap between muscle fibers slightly increased, showing the intercellular distance of (30.19 ± 2.83) μm; and the vascular α-smooth muscle actin (α-SMA) contents were lower than those in the normal blood vessels. The creatine kinase level in the perfusate of the NMP group increased from the beginning of perfusion, decreased after each perfusate change, and remained stable at the end of perfusion showing a peak level of 4097.6 U/L. The lactate dehydrogenase level of the NMP group increased near the end of perfusion and reached the peak level of 374.4 U/L. In the SCS group, the percentage of weight gain was 0.18% ± 0.10%, and the contents of hypoxia-inducible factor-1α increased gradually and reached the maximum level of (164.85 ± 20.75) pg/mL at the end of the experiment. The muscle fibers lost their normal shape and the gap between muscle fibers increased, showing an intercellular distance of (41.66 ± 5.38) μm. The contents of vascular α-SMA were much lower in the SCS group as compared to normal blood vessels.Conclusions::NMP caused lesser muscle damage and contained more vascular α-SMA as compared to SCS. This study demonstrated that NMP of the amputated limb with perfusate solution based on autologous blood could maintain the physiological activities of the limb for at least 24 h.

Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.