Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Background and Aims:Acute inferior vena cava thrombosis(IVCT)commonly occurs secondary to inferior vena cava filter(VCF)implantation.If not promptly treated,it may lead to serious complications such as bilateral lower limb swelling and pulmonary embolism and can also reduce the likelihood of successful filter retrieval.Percutaneous mechanical thrombectomy(PMT)and catheter-directed thrombolysis(CDT)are currently the main interventional treatments for IVCT,but comparative studies evaluating their efficacy and safety remain limited.This study was to conduct a prospective randomized controlled trial to compare the clinical efficacy and safety of AngioJet mechanical thrombectomy versus conventional CDT in the treatment of acute IVCT and to explore factors influencing filter retrieval rates,thereby providing evidence-based guidance for clinical decision-making.Methods:From January 2022 to December 2024,patients diagnosed with acute IVCT following VCF implantation were prospectively enrolled at the Department of Vascular Surgery,Beijing Jishuitan Hospital,Capital Medical University.Patients were randomly assigned to either the CDT group(n=46)or the PMT group(n=48)according to the interventional procedure used.The two groups were compared in terms of filter retrieval rates,thrombus clearance outcomes,operative time,thrombolytic drug dosage,and incidence of complications.Logistic regression analysis was used to identify factors associated with primary filter retrieval.Results:A total of 94 patients were enrolled,with 46 in the CDT group and 48 in the PMT group.Compared to the CDT group,the PMT group demonstrated a significantly higher primary filter retrieval rate(77.1%vs.43.5%),grade Ⅲ thrombus clearance rate(70.8%vs.37.0%),and better postoperative thrombus scores.Additionally,the PMT group required lower urokinase doses and shorter thrombolysis duration(all P<0.05).The overall filter retrieval rate and 3-month IVC patency were similar between groups,both exceeding 93%.Regarding safety,the CDT group had a higher incidence of catheter-related infections and medical adhesive-related skin injury,while vagal reflex symptoms were more frequent in the PMT group.Logistic regression analysis identified thrombus clearance rate as an independent factor significantly associated with primary filter retrieval in the PMT group(OR=190.773,P<0.05).Conclusion:Compared to CDT,AngioJet mechanical thrombectomy combined with manual aspiration achieves higher thrombus clearance and primary filter retrieval rates in the treatment of acute IVCT while also reducing thrombolysis duration and drug dosage.However,attention should be paid to the increased risk of vagal reflex symptoms.There was no significant difference between the two groups in secondary filter retrieval rates or long-term IVC patency.The choice of intervention should be based on the patient's condition,timing of filter retrieval,and individualized clinical considerations.

Background and Aims:Acute inferior vena cava thrombosis(IVCT)commonly occurs secondary to inferior vena cava filter(VCF)implantation.If not promptly treated,it may lead to serious complications such as bilateral lower limb swelling and pulmonary embolism and can also reduce the likelihood of successful filter retrieval.Percutaneous mechanical thrombectomy(PMT)and catheter-directed thrombolysis(CDT)are currently the main interventional treatments for IVCT,but comparative studies evaluating their efficacy and safety remain limited.This study was to conduct a prospective randomized controlled trial to compare the clinical efficacy and safety of AngioJet mechanical thrombectomy versus conventional CDT in the treatment of acute IVCT and to explore factors influencing filter retrieval rates,thereby providing evidence-based guidance for clinical decision-making.Methods:From January 2022 to December 2024,patients diagnosed with acute IVCT following VCF implantation were prospectively enrolled at the Department of Vascular Surgery,Beijing Jishuitan Hospital,Capital Medical University.Patients were randomly assigned to either the CDT group(n=46)or the PMT group(n=48)according to the interventional procedure used.The two groups were compared in terms of filter retrieval rates,thrombus clearance outcomes,operative time,thrombolytic drug dosage,and incidence of complications.Logistic regression analysis was used to identify factors associated with primary filter retrieval.Results:A total of 94 patients were enrolled,with 46 in the CDT group and 48 in the PMT group.Compared to the CDT group,the PMT group demonstrated a significantly higher primary filter retrieval rate(77.1%vs.43.5%),grade Ⅲ thrombus clearance rate(70.8%vs.37.0%),and better postoperative thrombus scores.Additionally,the PMT group required lower urokinase doses and shorter thrombolysis duration(all P<0.05).The overall filter retrieval rate and 3-month IVC patency were similar between groups,both exceeding 93%.Regarding safety,the CDT group had a higher incidence of catheter-related infections and medical adhesive-related skin injury,while vagal reflex symptoms were more frequent in the PMT group.Logistic regression analysis identified thrombus clearance rate as an independent factor significantly associated with primary filter retrieval in the PMT group(OR=190.773,P<0.05).Conclusion:Compared to CDT,AngioJet mechanical thrombectomy combined with manual aspiration achieves higher thrombus clearance and primary filter retrieval rates in the treatment of acute IVCT while also reducing thrombolysis duration and drug dosage.However,attention should be paid to the increased risk of vagal reflex symptoms.There was no significant difference between the two groups in secondary filter retrieval rates or long-term IVC patency.The choice of intervention should be based on the patient's condition,timing of filter retrieval,and individualized clinical considerations.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Objective To investigate the differences in blood pressure phenotypes,renal pathological changes,and related pathogenic pathways in genetically diverse hypertensive mice obtained from 13 strains.Methods The genotypes of Cckbr+/+,Cckbr+/-and Cckbr-/-were obtained by hybridization of 13 strains of genetically diverse mice with Cckbr-/-mice.Blood pressure was measured with a noninvasive blood pressure analysis system(BP-2000).The expression of CCKBR protein in mouse kidney tissue was detected by Western Blot,and the pathological changes in mouse kidney tissue were detected by hematoxylin-eosin(HE)staining and immunohistochemistry(IHC).The pathogenic pathways related to essential hypertension were screened by RNA sequencing.Results In three specific mouse strains(A/J,LOT,and FIM),the systolic blood pressure(SBP)was significantly different between the Cckbr-/-and Cckbr+/+groups.HE staining and IHC showed that hypertension caused a certain degree of renal injury in the mice.Gene Ontology(GO)and pathway enrichment analysis showed that differentially expressed genes were enriched in metabolic processes and circadian rhythm regulation.Conclusions Genetically diverse mice can effectively simulate the genetic background of the population and provide a new resource for studying the pathogenic genes related to essential hypertension.

Objective:To elucidate the cytopathological characteristics,molecular subtypes,and clinical prognoses of metastatic breast car-cinoma with serosal effusions.Methods:Seventeen cases that included effusion cytology and clinical data were retrospectively analyzed.Two patients were diagnosed between April 2016 and September 2023 at the Suzhou Ninth Hospital Affiliated to Soochow University,and 15 patients were diagnosed at The First Affiliated Hospital of Soochow University.Cytopathological characteristics,molecular subtypes,and prognoses were analyzed.Results:The cytopathological features of metastatic breast carcinoma in serosal effusions were as follows:1)In-vasive ductal carcinoma:one cell type was relatively densely arranged in nests or colored spheres,which displayed an elevated nuclear/cyto-plasmic ratio,irregular nuclear membrane,and cytoplasmic mucin vacuoles.The other cell type was tiled,single scattered,and varied in size and shape,with enlarged nuclei and elevated nuclear/cytoplasmic ratio.2)Invasive lobular carcinoma:cells were scattered and uniform in size and shape.The nuclei had a relatively regular shape,but displayed an elevated nuclear-to-cytoplasmic ratio.Among the 17 breast can-cer cases,6 had transitioned in molecular subtyping,including 1 case from Luminal A to triple-negative type,1 case from Luminal B to hu-man epidermal growth factor receptor 2(HER-2)-overexpressing type,and 4 cases from Luminal B to triple-negative type.Conclusions:The cytopathological characteristics of serous effusion cells combined with immunocytochemical staining and fluorescence in situ hybridization(FISH)suggest that it is important to determine the origin and molecular typing of tumor cells.This provides an important basis for precise clinical treatment and prognosis.

Objective To explore the effect of repetitive transcranial direct current stimulation(tDCS)on anti-fatigue capacity,power output,and muscle activation during continuous vertical jumps of aver-age undergraduates.Methods Thirty healthy male college students were randomly assigned to an anodal tDCS(a-tDCS)group and a sham tDCS(sham-tDCS)group,receiving a total of 10 repeated anodal tDCS and sham tDCS for 5 consecutive days on the primary motor cortex respectively.Before and right after the intervention,as well as one month after the intervention,all students underwent the continuous vertical jump test.The two-factor repeated measure ANOVA(stimulation condition×time)was employed to evaluate alterations in fatigue index,total jump height,lower limb stiffness and mus-cle activation characteristics.Results The fatigue index of the a-tDCS group was significantly lower than the sham-tDCS group(P<0.05).After a-tDCS,the total jump height was significantly higher than before(P<0.05).In the sham-tDCS group,the touchdown time during continuous vertical jumps in-creased more significantly right and a month after the intervention(P<0.05 for both).Moreover,lower limb stiffness of the a-tDCS group at the last moment of the continuous vertical jumps was significant-ly higher than the sham-tDCS group(P<0.05).After a-tDCS,the activation of the rectus femoris mus-cle increased significantly in the eccentric phase of the end of the test(P<0.05).However,no signifi-cant differences were found in the mean power and post-test rating of perceived exertion after the stim-ulation.Conclusion Ten sessions of tDCS conducted over five consecutive days demonstrates an en-hancement in neuromuscular activation during high-intensity jumping exercise.This observed augmenta-tion contributes to attenuating the decline in exercise capacity associated with fatigue.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.