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.

Objective:To analyze the clinical effect of XinjiaHuanglong Decoction add and subtract combined with auricular point sticking on delirium after hip fracture in elderly patients.Methods:Select 80 elderly patients with postoperative delirium after hip fracture admitted to our hospital from January 2022 to June 2024,and divide them into a matched group and an observation group,with 40 cases in each group.The matched group was treated with olanzapine,and the observation group was treated with XinjiaHuanglong Decoction add and subtract combined with auricular point sticking.Inflammatory response indexes(IL-6,TNF-α,hs-CRP)and stress response indexes(dopamine(DA),5-hydroxytryptamine(5-HT)were detected before and Post-treatment in both groups.Compare the Delirium Rating Scale 98(DRS-R-98)scores,Mini Mental State Examination(MMSE)scores,and duration of delirium between two groups before and Post-treatment,comprehensively evaluate the efficacy,and record the occurrence of adverse reactions.Results:Post-treatment,the DRS-R-98 score in the observation group was lower than that in the matched group,and the MMSE score was higher than that in the matched group(P＜0.05);The duration of delirium in the observation group was shorter than that in the matched group,and the overall effective rate was higher than that in the matched group(P＜0.05).The levels of inflammatory response indicators in the observation group were lower than those in the matched group Post-treatment(P＜0.05);The level of stress response indicators in the observation group was lower than that in the matched group Post-treatment(P＜0.05);There was no difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:XinjiaHuanglong Decoction add and subtract combined with auricular point sticking has a certain effect on improving delirium after hip fracture in the elderly,and can shorten the duration of delirium,which may be related to reducing inflammation and stress response,and it is safe and worthy of clinical application.

Objective:To analyze the clinical effect of XinjiaHuanglong Decoction add and subtract combined with auricular point sticking on delirium after hip fracture in elderly patients.Methods:Select 80 elderly patients with postoperative delirium after hip fracture admitted to our hospital from January 2022 to June 2024,and divide them into a matched group and an observation group,with 40 cases in each group.The matched group was treated with olanzapine,and the observation group was treated with XinjiaHuanglong Decoction add and subtract combined with auricular point sticking.Inflammatory response indexes(IL-6,TNF-α,hs-CRP)and stress response indexes(dopamine(DA),5-hydroxytryptamine(5-HT)were detected before and Post-treatment in both groups.Compare the Delirium Rating Scale 98(DRS-R-98)scores,Mini Mental State Examination(MMSE)scores,and duration of delirium between two groups before and Post-treatment,comprehensively evaluate the efficacy,and record the occurrence of adverse reactions.Results:Post-treatment,the DRS-R-98 score in the observation group was lower than that in the matched group,and the MMSE score was higher than that in the matched group(P＜0.05);The duration of delirium in the observation group was shorter than that in the matched group,and the overall effective rate was higher than that in the matched group(P＜0.05).The levels of inflammatory response indicators in the observation group were lower than those in the matched group Post-treatment(P＜0.05);The level of stress response indicators in the observation group was lower than that in the matched group Post-treatment(P＜0.05);There was no difference in the incidence of adverse reactions between the two groups(P＞0.05).Conclusion:XinjiaHuanglong Decoction add and subtract combined with auricular point sticking has a certain effect on improving delirium after hip fracture in the elderly,and can shorten the duration of delirium,which may be related to reducing inflammation and stress response,and it is safe and worthy of clinical application.

Objective To clarify the effect of preoperative oral carbohydrate on overweight or obese patients undergoing laparoscopic hysterectomy in Trendelenburg position.Methods A total of 72 overweight or obese patients who underwent laparoscopic hysterectomy in Trendelenburg position at Yancheng Third People's Hospital from September 2022 to August 2024 were selected,and randomly divided into the control group and the observation group,with 36 cases in each group.The control group received routine restriction of fasting and fluid starting from 22:00 on the day before surgery,while the observation group was given an additional 300 mL of carbohydrate orally 2 hours before anesthesia on the basis of the control group.The preoperative ultrasound results of gastric antrum,Perlas classification,full stomach status,visual analogue scale(VAS)scores for thirst and hunger,awakening time,tracheal extubation time,intraoperative hypothermia,gastro-intestinal function recovery time,and adverse reactions were compared between the two groups.Results Before anesthesia,there was no statistically significant difference in the cross-sectional area of the gastric antrum(CSA)in the right lateral position,gastric volume(GV),or the ratio of gastric volume to body weight(GV/W)between the two groups(P>0.05).There was also no statistically significant difference in the Perlas classification of gastric antrum ultrasound or the incidence of full stomach between the two groups(P>0.05).Immediately before anesthesia,the VAS scores for thirst and hunger in the observation group were significantly lower than those in the control group(P<0.05).The awakening time,tracheal extubation time,and incidence of intraoperative hypothermia in the observation group were significantly shorter/lower than those in the control group(P<0.05).The observation group had significantly shorter time of first exhaust and defecation after surgery,as well as lower incidence of postoperative bloating,compared with the control group(P<0.05).Conclusion For overweight or obese patients undergoing laparoscopic hysterectomy in the Trendelenburg position,oral intake of 300 mL carbohydrate 2 hours before anesthesia does not increase the risk of regurgitation or aspiration,with safety and reliability.It not only can improve comfort of patients and promote post-anesthesia awakening,but also can reduce the incidences of intraoperative hypothermia and gastrointestinal adverse reactions,which is conducive to accelerating postoperative recovery.

Objective To clarify the effect of preoperative oral carbohydrate on overweight or obese patients undergoing laparoscopic hysterectomy in Trendelenburg position.Methods A total of 72 overweight or obese patients who underwent laparoscopic hysterectomy in Trendelenburg position at Yancheng Third People's Hospital from September 2022 to August 2024 were selected,and randomly divided into the control group and the observation group,with 36 cases in each group.The control group received routine restriction of fasting and fluid starting from 22:00 on the day before surgery,while the observation group was given an additional 300 mL of carbohydrate orally 2 hours before anesthesia on the basis of the control group.The preoperative ultrasound results of gastric antrum,Perlas classification,full stomach status,visual analogue scale(VAS)scores for thirst and hunger,awakening time,tracheal extubation time,intraoperative hypothermia,gastro-intestinal function recovery time,and adverse reactions were compared between the two groups.Results Before anesthesia,there was no statistically significant difference in the cross-sectional area of the gastric antrum(CSA)in the right lateral position,gastric volume(GV),or the ratio of gastric volume to body weight(GV/W)between the two groups(P>0.05).There was also no statistically significant difference in the Perlas classification of gastric antrum ultrasound or the incidence of full stomach between the two groups(P>0.05).Immediately before anesthesia,the VAS scores for thirst and hunger in the observation group were significantly lower than those in the control group(P<0.05).The awakening time,tracheal extubation time,and incidence of intraoperative hypothermia in the observation group were significantly shorter/lower than those in the control group(P<0.05).The observation group had significantly shorter time of first exhaust and defecation after surgery,as well as lower incidence of postoperative bloating,compared with the control group(P<0.05).Conclusion For overweight or obese patients undergoing laparoscopic hysterectomy in the Trendelenburg position,oral intake of 300 mL carbohydrate 2 hours before anesthesia does not increase the risk of regurgitation or aspiration,with safety and reliability.It not only can improve comfort of patients and promote post-anesthesia awakening,but also can reduce the incidences of intraoperative hypothermia and gastrointestinal adverse reactions,which is conducive to accelerating postoperative recovery.

Objective:To investigate the effects of traditional Chinese curve-correcting and rotation-reducing spinal manipulation on biomechanical parameters and factors influencing herniated disc resorption in lumbar disc herniation(LDH).Methods:A retrospective analysis of 51 LDH patients treated between January 2022 and May 2024 was conducted.Lumbosacral parameters(vertebral rotation angle[α],disc angle[β],sacral slope[SS],lumbar lordosis[LL])were measured via MRI before treatment and at final follow-up.Disc resorption was assessed using Michigan State University(MSU)classification.Multivariate logistic regression identified factors associated with resorption.Results:Post-treatment α angle significantly decreased(3.02°→1.86°,P=0.002),while SS(28.4°→30.0°,P＜0.001)and LL angles(31.0°→35.12°,P＜0.001)increased;Disc resorption occurred in 56.86％(29/51)of patients.Longer disease course(OR=0.79,95％CI:0.69-0.91)and disc calcification(OR=0.03,95％CI:0.00-0.25)were independent inhibitors of resorption(P＜0.001).Conclusion:Spinal manipulation restores lumbosacral biomechanics by reducing vertebral rotation and increasing lumbar curvature,with higher resorption rates in patients with short duration(≤6 months),non-calcified discs,and MSU type 2-3 herniations.

Objective:To investigate the effects of traditional Chinese curve-correcting and rotation-reducing spinal manipulation on biomechanical parameters and factors influencing herniated disc resorption in lumbar disc herniation(LDH).Methods:A retrospective analysis of 51 LDH patients treated between January 2022 and May 2024 was conducted.Lumbosacral parameters(vertebral rotation angle[α],disc angle[β],sacral slope[SS],lumbar lordosis[LL])were measured via MRI before treatment and at final follow-up.Disc resorption was assessed using Michigan State University(MSU)classification.Multivariate logistic regression identified factors associated with resorption.Results:Post-treatment α angle significantly decreased(3.02°→1.86°,P=0.002),while SS(28.4°→30.0°,P＜0.001)and LL angles(31.0°→35.12°,P＜0.001)increased;Disc resorption occurred in 56.86％(29/51)of patients.Longer disease course(OR=0.79,95％CI:0.69-0.91)and disc calcification(OR=0.03,95％CI:0.00-0.25)were independent inhibitors of resorption(P＜0.001).Conclusion:Spinal manipulation restores lumbosacral biomechanics by reducing vertebral rotation and increasing lumbar curvature,with higher resorption rates in patients with short duration(≤6 months),non-calcified discs,and MSU type 2-3 herniations.

Objective:To investigate the nutritional risk status of children in PICU and analyze its influencing factors.Methods:From July 2021 to February 2023,all children aged 1 to 18 years admitted to PICU of Beijing Children's Hospital were investigated by using the pediatric Yorkhill Malnutrition Scoring tool(PYMS)and the clinical data questionnaire.Results:A total of 492 children in PICU were enrolled.The first nutritional risk screening results showed that there were 32 cases of no/low nutritional risk(6.5%),76 cases of medium risk(15.4%),and 384 cases of high risk(78.1%).The incidence of medium/high nutritional risk was as high as 93.5%.The PYMS score of nutritional risk in PICU was(2.61±1.42).The results of multiple linear regression analysis showed that weight,fever time before admission,white blood cells,body mass index,primary diagnosis,father's education,and diet before illness were the main influencing factors of nutritional risk of children in PICU(P<0.05).Conclusion:Children in PICU are in a state of high nutritional risk.It is suggested that children in PICU should carry out nutritional screening in a standardized manner,identify children with high nutritional risk and its influencing factors early.To actively conduct nutritional assessment and nutritional intervention could improve the clinical outcome of children in PICU.

Objective To explore the integration value of mobile virtual reality devices in the classroom teaching of human anatomy,and to evaluate their potential impact on the in-depth construction of human anatomy knowledge,the cultivation of spatial cognitive ability,and the transformation of teaching paradigms from the perspectives of cognitive load theory and situated learning.Methods The undergraduate students majoring in clinical medicine in Peking University were selected as the research objects.Among them,students in grade 2019 were the control group,and students in grade 2022 were the experimental group,introducing movable virtual anatomy equipment and other teaching auxiliary method in theory and practice courses.The final exam scores of the two groups of students were compared,and a questionnaire survey was conducted for the experimental group after the course,and the survey result were statistically analyzed.Results The final examination result showed that the average score of the experimental group was 82.47±10.19,and the average score of the control group was 74.82±16.56,which was significantly higher in the experimental group than in the control group,with statistical significance(P＜0.05).The questionnaire survey result showed that compared with traditional classroom teaching,94.62％of students preferred the new auxiliary teaching mode such as VR,96.77％of students believed that VR assisted teaching could achieve the traditional teaching effect or better,95.7％of them think that it improved students' interest in learning human anatomy,and 98.92％thought that it improved students' knowledge of anatomy.Conclusion The application of mobile virtual reality devices in anatomy classroom teaching provides immersive and interactive 3D visualization teaching scenarios,effectively reducing students' cognitive load on abstract and complex anatomical structures,promoting spatial understanding and knowledge internalization,significantly improving teaching effectiveness and self-learning ability,thus changing the traditional anatomy teaching mode and laying a solid foundation for the development of future medical education and the cultivation of medical talents.