With the advancement of the times and technology, the proportion of early gastric cancer has been increasing year by year, and its treatment methods have shifted towards more minimally invasive approaches, with better function-preserving and postoperative quality of life. Function-preserving surgery has gradually become the mainstream surgical option for early gastric cancer. Function-preserving surgeries mainly include segmental gastrectomy, pylorus-preserving gastrectomy, local gastrectomy, and sentinel lymph node navigation surgery. Although significant progress has been made in various function-preserving surgeries in recent years, there are still controversies regarding the selection of surgical indications, assessment of tumor radicality, surgical safety, and postoperative gastric function evaluation. Further high-quality evidence-based research is still needed to confirm the safety and effectiveness of function-preserving surgery for early gastric cancer.

With the advancement of the times and technology, the proportion of early gastric cancer has been increasing year by year, and its treatment methods have shifted towards more minimally invasive approaches, with better function-preserving and postoperative quality of life. Function-preserving surgery has gradually become the mainstream surgical option for early gastric cancer. Function-preserving surgeries mainly include segmental gastrectomy, pylorus-preserving gastrectomy, local gastrectomy, and sentinel lymph node navigation surgery. Although significant progress has been made in various function-preserving surgeries in recent years, there are still controversies regarding the selection of surgical indications, assessment of tumor radicality, surgical safety, and postoperative gastric function evaluation. Further high-quality evidence-based research is still needed to confirm the safety and effectiveness of function-preserving surgery for early gastric cancer.

A 20-year-old male patient presented to the Department of Dermatology of Peking Union Medical College Hospital with complaints of an 8-year history of facial scarring, swelling of the lower limbs, and a 4-year history of scalp thickening. Physical examination showed thickening furrowing wrinkling of the skin on the face and behind the ears, ciliary body hirsutism, blepharoptosis, and cutis verticis gyrate. Both lower limbs were swollen, especially the knees and ankles. The skin of the palms and soles of the feet was keratinized and thickened. Laboratory examination using bone and joint X-ray showed periostosis of the proximal middle phalanges and metacarpals of both hands, distal ulna and radius, tibia and fibula, distal femurs, and metatarsals.Genetic testing revealed two variants in SLCO2A1, c.1658T > A and c.96+4A > C.Through multidisciplinary consultation, we confirmed the diagnosis of pachydermoperiostosis.

A VLi-net based cell nucleus segmentation method integrating convolutional neural networks(CNN)and Vision Transformer(ViT)is proposed to address the limitation that the U-Net with CNN as its backbone is only proficient in capturing local features and has a restricted receptive field.Firstly,to mitigate challenges such as high cost of data annotation and insufficient annotated data,text annotations are introduced to enhance the network's understanding of image information.Secondly,to improve the segmentation performance of VLi-net,ViT and CNN are combined to fully extract global and local features,with multi-receptive field convolution features incorporating into the ViT structure for effectively mitigating the issues of limited local information interaction and single feature representation in ViT.Finally,an interactive fusion module(ViFusion)is used to efficiently fuse the multi-level features from the CNN and ViT branches.Experimental results show that VLi-net achieves a Dice coefficient of 80.85%and a mean intersection over union(MIoU)of 66.83%on the MoNuSeg dataset,obtains a Dice coefficient of 80.53%and a MIoU of 67.54%on the DSB-2018 dataset,and has a Dice coefficient of 86.87%and a MIoU of 77.44%on the TNBC dataset.These findings confirm that VLi-net outperforms other methods across multiple experimental metrics.

Objective To explore the relevant factors affecting the efficacy of traditional Chinese medicine in treating MG,and to develop and validate a nomogram model,in order to personalize the prediction of the probability of benefits for MG patients after traditional Chinese medicine treatment,further guide clinical physicians in targeted medication,and provide guidance for the traditional Chinese medicine treatment of MG.Method Retrospective analysis of MG patients who visited the Affiliated Hospital of Changchun University of Traditional Chinese Medicine from March 2018 to June 2022,13 clinical factors were selected to evaluate the results.To acquire independent factors,univariate and multivariate Logistic analyses were performed.The area under the receiver operating characteristic curve,Harrell's concordance index,calibration curve,and decision curve analyses were used to evaluate the predictive ability,accuracy,and clinical practicability of the prediction model.Results A total of 204 cases were included,divided into derivation cohort 139 cases and temporal validation cohort 65 cases.Multivariate Logistic regression showed 4 independent predictors affecting effectiveness of traditional Chinese medicine in treating MG,including age at onset,repetitive nerve stimulation positive,oral immunosuppressant and anxiety/depression.AUC values for the model group and validation group were 0.76(95%CI:0.68-0.84)and 0.83(95%CI:0.71-0.95),respectively,and based on calibration curve and decision curve analysis,we concluded that the nomogram showed excellent performance.Conclusion MG patients may experience a decrease in short-term efficacy with age,positive RNS,concomitant emotional abnormalities,or recent history of immunosuppressive therapy.This nomogram effectively predicts the possibility of short-term effective traditional Chinese medicine treatment in MG patients.

Objective To investigate the influence of body mass index(BMI)on individualized analgesic effect,inflammatory factors and safety of sufentanil in elderly patients after proximal femoral nail anti-rotation(PFNA)surgery.Methods A total of 161 elderly patients who received PFNA surgery in Nanjing Drum Tower Hospital Group Suqian Hospital from January 2022 to December 2023 were selected as study subjects.Patients with BMI<18.5 kg/m2 were set as Group A,patients with BMI ranging from 18.5 kg/m2 to 23.9 kg/m2 were set as Group B,patients with BMI ranging from 24.0 kg/m2 to 35.0 kg/m2 were set as Group C.After operation,individualized analgesia was performed with an intravenous patient-controlled analgesia pump of 2 μg/kg sufentanil based on body weight,and the postoperative pain degree,inflammatory factors,analgesia condition and adverse reactions of patients in the three groups were compared.Results At 8 hours,12 hours,24 hours and 48 hours after surgery,the pain visual analogue scale(VAS)scores of patietns in group B and group C were significantly lower than those in group A(P<0.05).At 12 hours,24 hours and 48 hours after surgery,the pain VAS scores of patients in group C were significantly lower than those in group B(P<0.05).The levels of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),and interleukin-6(IL-6)1 day after surgery of patients in group B and group C were significantly lower than those in group A(P<0.05).The pressing times of analgesia pump and the duration of obvious pain within 48 hours after surgery of patients in group A were significantly more/longer than those in group B and group C(P<0.05),and the analgesic satisfaction score was significantly lower than those in group B and group C(P<0.05).The total incidence of analgesic adverse reactions in group C was significantly higher than those in group A and group B(P<0.05).Conclusion BMI may affect the individualized analgesic effect,inflammatory factors and safety of sufentanil in elderly patients undergoing PFNA surgery.Underweight patients may have insufficient analgesia,while overweight or obese patients may have excessive analgesia,which may affect the analgesic safety.

Objective To propose a classification model based on a pseudo-bag strategy and feature adjustment for whole slide imaging in pathology.Methods A pseudo-bag generator was constructed to divide a parent bag into 3 pseudo-bags for increasing the number of training bags.Then,a pseudo-bag learning method based on Nystr?m-based algorithm for approximating self-attention and a selective feature fusion method were employed to process the pseudo-bags.Specifically,the pseudo-bag learning method based on Nystr?m-based algorithm for approximating self-attention reduced computational complexity through an improved multi-head self-attention mechanism while deeply extracting instance features to obtain pseudo-bag classification predictions,thereby enhancing pseudo-bag classification accuracy;and the selective feature fusion method refined pseudo-bag features by filtering and extracting relevant instances.Finally,the model adjusted bag features by extracting confounding factors to avoid interference from irrelevant information and further improve classification accuracy.Results The proposed model was evaluated on two datasets(CAMELYON-16 and TCGA-NSCLC)and compared with 10 other methods,and the results demonstrated that the proposed model achieved the best performance.The proposed method reached an accuracy of 0.943 on the CAMELYON-16 dataset and 0.906 on the TCGA-NSCLC dataset.Conclusion The proposed model can significantly improve the accuracy of whole-slide pathological image classification by effectively mitigating the overfitting and avoiding interference from irrelevant information.

Aim To evaluate the ameliorative effects of different ratios of Renshen-Huangjing(RH) on SPS-induced PTSD-like behaviors in mice,and to investi-gate the action mechanism using bioinformatics analysis and experimental studies.Methods The aqueous ex-tract was extracted in four ratios of RH in a total weight of 60 g,i.e.1∶0(RH1),2∶1(RH2),1∶2(RH3),and 0∶1(RH4).The extraction rates of Rg1,Rb1,and polysaccharides from different ratios of RH were then detected using UPLC-UV method.The SPS model was established,and RH1,RH2,RH3 and RH4(400 mg·kg-1)were administered by intragas-tric gavage for 14 day,followed by behavioral tests to e-valuate the PTSD-like behaviors.The serum CORT,IL-1β and IL-10 were determined by ELISA.The possible targets of action were analyzed using bioinformatics.The expression levels of Calpain-1,PSD95,BDNF and GluN2B in the hippocampus were detected by Western blot.Results The SPS model induced PTSD-like be-haviors in mice.Serum levels of CORT and IL-1β in-creased and level of IL-10 decreased in SPS model.After treatment with different ratios of RHs,RH2 showed the best therapeutic effect,which was manifes-ted in the suppression of PTSD-like behaviors,the re-duction of CORT and IL-1β levels,and the promotion of IL-10 levels;160 overlapping targets might explain the therapeutic effects of RH on PTSD,and these tar-gets were enriched in inhibiting synaptic damage,exer-ting antioxidant properties and suppressing neuroin-flammation,respectively.RH2 prevented the SPS-in-duced decrease in the expression of Calpain-1,PSD95,BDNF and the elevation of GluN2B.Molecular docking showed strong binding of Rg1 and Rb1 to Calpain-1,PSD95,and BDNF,respectively.Conclusions The a-queous extract of RH in a 2∶1 ratio can more effec-tively prevent SPS-induced PTSD-like behaviors,and its effect may be related to targets such as Calpain-1,PSD95,BDNF and GluN2B.

A VLi-net based cell nucleus segmentation method integrating convolutional neural networks(CNN)and Vision Transformer(ViT)is proposed to address the limitation that the U-Net with CNN as its backbone is only proficient in capturing local features and has a restricted receptive field.Firstly,to mitigate challenges such as high cost of data annotation and insufficient annotated data,text annotations are introduced to enhance the network's understanding of image information.Secondly,to improve the segmentation performance of VLi-net,ViT and CNN are combined to fully extract global and local features,with multi-receptive field convolution features incorporating into the ViT structure for effectively mitigating the issues of limited local information interaction and single feature representation in ViT.Finally,an interactive fusion module(ViFusion)is used to efficiently fuse the multi-level features from the CNN and ViT branches.Experimental results show that VLi-net achieves a Dice coefficient of 80.85%and a mean intersection over union(MIoU)of 66.83%on the MoNuSeg dataset,obtains a Dice coefficient of 80.53%and a MIoU of 67.54%on the DSB-2018 dataset,and has a Dice coefficient of 86.87%and a MIoU of 77.44%on the TNBC dataset.These findings confirm that VLi-net outperforms other methods across multiple experimental metrics.

Objective To develop a new type of rapid detection kit of infectious diseases for quick screening,testing and identification of several infectious pathogens.Methods The rapid detection kit for infectious diseases were composed of two trolley boxes for sample processing and rapid detection.The sample processing box had a pipette gun embedded into its upper cover and an automated nucleic acid extractor,a vortex mixer,a centrifuge,a deep-well plate,a reagent kit for nucleic acid rapid extraction inserted into its lower part;the rapid detection box had a portable computer,a data line and a power cord at its upper cover and a fluorescence quantitative PCR instrument,a mixing instrument and a multi-pathogen detection reagent kit.Results The rapid detection kit could meet the testing needs of 16 persons at a time and took about 60 min for one-time nucleic acid extraction and detection,which realized rapid detection of five types of pathogenic microorganisms for respiratory,intestinal,insect-borne,blood-borne and mucous membrane-borne infectious diseases and common biological agents.Conclusion The rapid detection kit gains advantages in multi testing items,easy operation,high safety,precision and efficiency,and facilitates rapid on-site screening and detection of infectious diseases.[Chinese Medical Equipment Journal,2025,46(5):109-111]