Objective To analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

To investigate the association between sleep-related phenotypes and the risk of malignancy in pulmonary nodules, and to provide complementary evidence from a general population cohort and genetic analyses.

BACKGROUND:Wogonin is a flavonoid extracted from the root of Scutellaria baicalensis.Previous studies have shown that baicalein has protective effects against cerebral ischemia-reperfusion injury,and can also reduce blood sugar and complications in diabetic mice,but its role and mechanism in diabetic cerebral infarction remain unclear. OBJECTIVE:To explore the effect of wogonin on nerve injury in rats with diabetic cerebral infarction and its mechanism. METHODS:Sprague-Dawley rats were randomly divided into six groups:control group,model group,low-dose wogonin group,medium-dose wogonin group,high-dose wogonin group,and high-dose wogonin+Ras homolog gene family member A(RhoA)activator group.Except for the control group,the other rats were established with diabetes and cerebral ischemia models using intraperitoneal injection of streptozotocin and middle cerebral artery occlusion.Low,medium-and high-dose wogonin groups were intragastrically given 10,20,40 mg/kg wogonin,respectively;high-dose wogonin+RhoA activator group was intragastrically given 40 mg/kg wogonin and intraperitoneally injected 10 mg/kg lysophosphatidic acid;control group and model group were given the same amount of normal saline once a day for 7 consecutive days.Rats in each group were evaluated for neurological deficits and their blood glucose levels were measured after the last dose.TTC staining was applied to detect the volume of cerebral infarction.Hematoxylin-eosin staining was applied to observe pathological changes in brain tissue.ELISA kit was applied to detect tumor necrosis factor-α,interleukin-6,malondialdehyde,and superoxide dismutase levels in brain tissue.Western blot was applied to detect the protein expression of RhoA and Rho-associated protein kinase(ROCK)2 in brain tissue. RESULTS AND CONCLUSION:Compared with the control group,the neuronal structure of rats in the model group was severely damaged,with cell necrosis and degeneration,the neurological deficit score,blood glucose level,and infarct volume were significantly elevated(P<0.05),the levels of tumor necrosis factor-α,interleukin-6,and malondialdehyde,and the protein expression of RhoA and ROCK2 in brain tissue were significantly increased(P<0.05),and the superoxide dismutase level was decreased(P<0.05).Compared with the model group,the low-,medium-,and high-dose wogonin groups showed improved neuronal damage,reduced cell degeneration and necrosis,a significant reduction in neurological deficit score,blood glucose level,infarct volume,and the levels of tumor necrosis factor-α,interleukin-6,and malondialdehyde,and the protein expression of RhoA and ROCK2 in brain tissue,and an increase in the superoxide dismutase level(P<0.05).Compared with the high-dose wogonin group,the high-dose wogonin+RhoA activator group significantly weakened the improvement in the above indexes of rats with diabetic cerebral infarction(P<0.05).To conclude,wogonin can improve the blood glucose level in rats with diabetic cerebral infarction,reduce cerebral infarction and nerve injury,and its mechanism may be related to the inhibition of RhoA/ROCK signaling pathway.

Objective To establish a UV method for the determination of the functional compositions(cinnamic acid derivatives,total flavonoids)in Ligustrum robustum,to predict the contents of trans-p-hydroxycinnamic acid,trans-p-hydroxycinnamic acid esters,and rhoifolin based on UV/HPLC,and to optimize the technological conditions of ultrasonic-assistant extraction of L.robustum.Methods ①In the determination of the functional compositions in L.robustum,total cinnamic acid derivatives were determined by dual-wavelength isobestic point UV method(detection wavelength 316 nm,reference wavelength 268 nm),and total flavonoids were determined by single-wavelength UV method(detection wavelength 268 nm),while rhoifolin was determined by HPLC(C 18 column,eluting with methanol-0.1％acetic acid=40∶60,detection wavelength 310 nm).②The conversion factors were used to establish a UV/HPLC-based prediction model,and the precision of the predicted results was evaluated with other 3 test samples.③ The technological conditions of ultrasonic-assisted extraction were optimized by an orthogonal test.Results ① The linear ranges of total cinnamic acid derivatives,total flavonoids,and rhoifolin were 4.64-20.88,8.24-28.84,5.15-51.50 μg·mL-1(r≥0.999 5),respectively.RSDs of the precision,stability,and reproducibility tests were no more than 1.4％.The recoveries were 97.9％-100.5％(RSD≤ 1.2％,n=6).②The relative errors of the values predicted by UV/HPLC from the results measured by HPLC were from-5.3％to 1.7％.There was no significant difference between the UV/HPLC predicted values and the HPLC determined results(P＞0.05)for the contents of trans-p-hydroxycinnamic acid and rhoifolin.③The optimal technological conditions of ultrasonic-assistant extraction of L.robustum were as follows:ethanol concentration 80％,temperature 50 ℃,liquid-solid ratio 20 mL·g 1,extraction frequency 2 times,extraction time 20 min.The total yield of functional compositions under above conditions was 42.0％.Conclusion The above determination methods are accurate and rapid,and the above extraction technology is effective,energy-saving and rapid,which provide an experimental base for the quality control and application of L.robustum.

Toxoplasma gondii is an intracellular protozoan pathogen with a global distribution,and dogs are considered a potential risk factor for human toxoplasmosis.This study was aimed at systematically analyzing the epidemiological characteris-tics of canine T.gondii infection in China from 1987 to 2023,to provide a scientific basis for the prevention and control of T.gondii in the country.Epidemiological data on canine T.gondii infections in China from 1987 to 2023 were retrieved from PubMed,China National Knowledge Infrastructure(CNKI),Wanfang Database,and Baidu Scholar.A database was established with Excel,and the data were visualized with ArcGIS 10.2 software.Statistical analysis was performed in SPSS 26.0 software,and group differences were analyzed with the X2 test.A P-value of＜0.05 was considered statistically significant.From 1987 to 2023,the overall seroprevalence of T.gondii antibodies in dogs in China remained stable,and the overall sero-prevalence rate was 13.97％.Yunnan Province had the highest seroprevalence,at 27.65％,whereas Shaanxi Province had the lowest seroprevalence,at 0.56％.Significant differences were observed among provinces(P＜0.05).Epidemiological data on canine T.gondii infections were not available for some regions.The seroprevalence in southwestern China was significantly higher than that in other regions(P＜0.05).A comparison of the seroprevalence between 1987-2004 and 2005-2023 revealed significant differences(P＜0.05).Canine T.gondii infection is widespread in China and shows a stable epidemic cycle.Appro-priate prevention and control measures should be implemented,along with strengthened surveillance of T.gondii outbreaks.Public education on the prevention and control of toxoplasmosis should be enhanced to decrease transmission risk and safeguard public health.

Objective:To observe the therapeutic efficacy of point catgut-embedding therapy combined with cupping therapy in treating simple obesity due to stomach heat and dampness obstruction,as well as its effects on Chinese medicine symptoms,obesity indicators,and blood lipid parameters.Methods:A total of 135 cases with simple obesity due to stomach heat and dampness obstruction were allocated into an embedding group,a cupping group,and a combined group using the random number table method,with 45 cases in each group.The embedding group received point catgut-embedding therapy alone,the cupping group was treated with cupping therapy alone,while the combined group underwent both embedding therapy and cupping therapy.The same points were used in the three groups.The treatment was performed once daily,and consecutive 28-day treatment was taken as 1 treatment course.The therapeutic efficacy was evaluated,and the changes in the traditional Chinese medicine(TCM)symptom score,obesity indicators[body mass(BM),body mass index(BMI),body fat percentage(BFP),waist circumference,and waist-to-hip ratio],and blood lipid parameters[triglyceride(TG)and total cholesterol(TC)]were observed after 3 consecutive courses.Results:After 3-course treatment,the total effective rate in the combined group was 93.3%,higher than 82.2%in the embedding group and 73.3%in the cupping group(P<0.05),and the total effective rate of the embedding group was higher than that of the cupping group(P<0.05).Compared to those before treatment,the TCM symptom score,obesity indicators,and blood lipid parameters reduced significantly in the three groups(P<0.05 or P<0.01),and indicators in the combined group were lower than those in the other two groups(P<0.05).Conclusion:The synergistic application of point catgut-embedding therapy and cupping therapy can improve TCM symptoms,obesity-related indicators,and blood lipid parameters of patients with simple obesity due to stomach heat and dampness obstruction;compared to the use of either point catgut-embedding therapy or cupping therapy alone,the combined application of the two therapies shows a more significant therapeutic effect.

The application of sensors to the monitoring of spinal morphology and motion was reviewed in terms of the research object and monitoring index.The present situation of the application of sensors was introduced,such as inertial sensor,stretchable strain sensor and electromagnetic sensor.The deficiencies of sensors applied to the monitoring of spinal morphology and motion were analyzed,and the future directions of the application were pointed out.[Chinese Medical Equipment Journal,2025,46(6):105-110]

Objective To investigate the role of Insulin like growth factor 2 mRNA binding protein 1(IGF2BP1)and long non-coding RNA LINC00160(LINC00160)in gastric cancer,and its potential mechanism of regulating the proliferation and invasion of gastric cancer cells.Methods Quantitative real time polymerase chain reaction(qRT-PCR)was used to detect the expression level of LINC00160 in gastric cancer tissues and cells.Bioinformatics prediction,RNA-binding protein immunoprecipitation(RIP)and methylated RNA immunoprecipitation(MeRIP)were used to verify the binding effect of LINC00160 and IGF2BP1.The correlation between the expression of LINC00160 and IGF2BP1 in gastric cancer tissues was analyzed by Pearson assay.CCK-8 assay and Transwell assay were used to detect cell proliferation and invasion.The changes of aerobic glycolysis index[glucose intake,lactate production,and Adenosine-triphosphate(ATP),extracellular acidification rate(ECAR)and oxygen consumption rate(OCR)]were detected and analyzed.Results Compared with normal tissues,the expression of LINC00160 in gastric cancer tissues(5.13±0.62 vs 1.02±0.03)was significantly up-regulated,and the difference was statistically significant(t=-36.266,P<0.001).The expression level of LINC00160 in gastric cancer cells was higher than that of human normal gastric epithelial cell line GES-1,and the difference was statistically significant(F=24.595,P<0.001).Compared with the control group,silenting LINC00160 significantly inhibited the proliferation(0.42±0.03 vs 1.03±0.04)and invasion(22.13%±1.97%vs 42.15%±2.67%)of AGS cells,decreased glucose uptake(2.11±0.26mmol/L vs 4.22±0.37mmol/L)and lactate production(6.84±1.25mmol/L vs 11.68±1.55mmol/L),decreased ECAR,and increased ATP(3.34±0.29mmol/L vs 1.87±0.24mmol/L)levels and OCR,and the differences were statistically significant(t=4.188～24.423,all P<0.01).The expression of IGF2BP1 protein in gastric cancer tissues(4.07±0.36)was significantly higher than that in adjacent tissues(1.01±0.03),and the difference was statistically significant(t=-46.396,P<0.01),and was positively correlated with the expression of LINC00160(r2=0.774 5,P<0.01).Mechanistic studies revealed that IGF2BP1 upregulated LINC00160 expression by binding m6A modified LINC00160 to promote its stability.Silencing IGF2BP1 significantly inhibited the expression of LINC00160 and the proliferation,invasion and aerobic glycolysis of gastric cancer cells,and the differences were statistically significant(t=4.386～11.989,all P<0.01).Overexpression of LINC00160 reversed the effect of IGF2BP1 silencing on AGS cells.Conclusion LINC00160 is significantly up-regulated in gastric cancer,and IGF2BP1 may stably regulate the expression of LINC00160 through m6A modification,promote the aerobic glycolysis of tumor cells,and participate in the occurrence and development of gastric cancer.