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.

ObjectiveTo investigate the association between perioperative troponin elevation and the occurrence of major adverse cardiac events （MACE） in elderly patients with colorectal cancer， and to provide evidence for optimizing perioperative management strategies. MethodsA total of 268 elderly patients aged 70 years and above who underwent colorectal cancer surgery were retrospectively enrolled. They were divided into a conventional management group （87 cases） and a standardized management group （181 cases） according to the perioperative management strategy. Binary logistic regression analysis was used to identify the independent influencing factors for the occurrence of major adverse cardiac events. P-value ≤ 0.05 was considered statistically significant. ResultsAmong the 268 patients， the overall incidence of perioperative major adverse cardiac events was 4.5% （12/268）. The total incidence of major adverse cardiac events in the conventional management group was 8.0% （7/87）， which was significantly higher than that in the standardized management group （2.8%， 5/181；P=0.05）. Specifically， the incidences of myocardial infarction， heart failure， and death in the conventional management group were markedly higher than those in the standardized management group （8.0% vs. 2.2%， 4.6% vs. 0.6%， 4.6% vs. 0.6%， all P＜0.05）， while no significant difference was observed in the incidence of cardiogenic shock between the two groups （1.1% vs. 1.1%， P＞0.05）. Postoperative troponin elevation was significantly associated with the occurrence of perioperative major adverse cardiac events except for cardiogenic shock （including total cardiovascular events， myocardial infarction， heart failure， and death） （all P＜0.05）， and it was identified as a strong independent risk factor for perioperative major adverse cardiac events in these patients. ConclusionCompared with conventional management， standardized perioperative troponin management can significantly reduce the risks of myocardial infarction， heart failure， and death， and also exhibits a potential protective trend against cardiogenic shock. Postoperative troponin elevation is a strong independent risk factor for the occurrence of perioperative major adverse cardiac events.

ObjectiveTo explore the effects of electroacupuncture at governor vessel or Jiaji acupoints on the activation of lumbar spinal cord neurons and the recovery of motor function in paralyzed hind limbs in rats with complete transection of spinal cord injury. MethodsTwenty adult female SD rats were selected. Among them， 15 rats underwent the complete transection of the 10th thoracic spinal cord and were randomly divided into the Control group， the electroacupuncture at governor vessel acupoints （GV） group and the electroacupuncture at Jiaji acupoints （JJ） group， with 5 rats in each group. The other 5 rats served as the Normal group. Electroacupuncture treatment was initiated 3 days after surgery in the GV and JJ groups and performed every other day. Basso-Beatti-Bresnahan （BBB） behavioral score was evaluated weekly. Eight weeks after the operation， cortical motor evoked potential （CMEP） detection was performed， followed by perfusion fixation， tissue harvest， frozen sectioning， and immunofluorescence staining experiments. Results① Both electroacupuncture treatments activated the expression of the excitatory marker c-Fos in L1 spinal cord neurons. The c-Fos⁺ activated neurons were mainly distributed in lamina Ⅳ， Ⅴ and Ⅶ of the L1 spinal cord， while no c-Fos⁺ neuron was observed in the Normal group and the Control group. The percentages of c-Fos⁺ neurons activated by electroacupuncture in the GV group and the JJ group were （10.23±0.15） % and （10.77±1.12） %， respectively， and there was no significant difference between the two electroacupuncture groups. ② vGluT1⁺ proprioceptive afferent nerve fibers were mainly distributed in the dorsal horn and lamina Ⅶ of intermediate zone of L1 spinal cord gray matter. In the dorsal horn of L1 spinal cord， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were greater than that in the Control group， and that in the JJ group was greater than that in the GV group. In the lamina Ⅶ in intermediate zone of L1 spinal cord， where the central pattern generator （CPG） for hindlimb rhythmic movement is located， the relative fluorescence intensity of vGluT1⁺ nerve fibers in the GV group and the JJ group were significantly higher than that in the Control group， and the JJ group was also higher than the GV group； The lamina Ⅶ neurons innervated by vGluT1⁺ axon terminals were activated to express the excitatory marker c-Fos in the GV group and the JJ group. ③ The immunofluorescence staining results of acetylcholinesterase （ChAT） in the ventral horn of L4 spinal cord of each group showed that the number of surviving ChAT⁺ motor neurons in the GV group （19.1±3.4， P=0.000 2） and JJ group （19.0±2.9， P=0.000 2） were higher than that in the Control group （9.9±1.9）. ④ The quantitative analysis of the vGluT2⁺ excitatory axonal terminals， vGAT⁺ inhibitory axonal terminals， and the ratio of vGluT2⁺/vGAT⁺ axonal terminals ［reflecting the excitation/inhibition （E/I） balance of motor neurons］ innervating ChAT⁺ motor neurons in the ventral horn of the L4 spinal cord revealed that all three indices were significantly higher in the GV and JJ groups than in the Control group. Moreover， the E/I ratio of motor neurons in the two electroacupuncture groups gradually reached the same level as normal and showed no statistical difference from the Normal group. ⑤ The electrophysiological and behavioral detection results showed that compared with the Control group， the latencies of CMEP in the GV group and the JJ group shortened， while their amplitudes increased. The BBB score of paralyzed hindlimbs showed that after 8 weeks of treatment， the scores of both the GV group （4.25±1.26， P=0.023 4） and the JJ group （4.75±0.96， P=0.000 2） were higher than those of the Control group （1.80±1.30）， but there was no statistical difference between the two electroacupuncture groups. ConclusionElectroacupuncture at GV or JJ acupoints may promote the afferent of vGluT1⁺ proprioceptive nerve fibers into the spinal cord， indicating the possibility to activate CPG neurons in lamina Ⅶ of L1 spinal cord； facilitate the survival of motor neurons in the L4 spinal cord and restore their excitatory/inhibitory balance， improving the motor function of the paralyzed hindlimbs in rats.

ObjectiveTo analyze the clinical manifestations， diagnostic approaches， treatment strategies， and prognostic outcomes of uterine arteriovenous fistula （UAVF）. MethodsWe retrospectively analyzed 6 patients with confirmed UAVF admitted to the Department of Gynecology， the Eighth Affiliated Hospital of Sun Yat-sen University， between January 2010 and December 2023. We summarized the clinical data of the cohort， including age， gravidity， chief complaints， treatment regimens， and postoperative follow-up outcomes， and explored the clinical efficacy and safety of ultrasound-guided microwave ablation for UAVF in conjunction with a literature review. ResultsThe patients were aged 26-44 years， with a mean age of （34.33±6.12） years and a median age of 33.5 years. All patients were initially screened via color Doppler ultrasound and definitively diagnosed by imaging modalities including uterine arteriography， computed tomography， and magnetic resonance imaging. The median gravidity was 4（4，6）， with 5 patients having a history of ≥2 pregnancies. Five patients had a history of intrauterine instrumentation， among whom 4 had undergone ≥2 procedures. Regarding clinical presentations， 3 patients presented with abnormal vaginal bleeding （2 with massive hemorrhage）， 2 were asymptomatic with abnormalities detected only on imaging， and 1 reported lower abdominal pain. In terms of management， 1 patient with recurrence after uterine artery embolization （UAE） underwent ultrasound-guided microwave ablation； 1 received UAE alone； 2 patients with concomitant retained products of conception underwent hysteroscopic mechanical morcellation （1 developed massive hemorrhage 10 hours postoperatively， which was successfully controlled with uterine balloon tamponade）； 1 underwent focal lesion resection； and 1 underwent total hysterectomy. All 6 patients achieved favorable therapeutic outcomes. ConclusionAbnormal vaginal bleeding is the most typical clinical manifestation of UAVF， and digital subtraction angiography of the uterine arteries is recognized as the gold standard for definitive diagnosis. Emergency UAE is indicated for patients presenting with acute massive hemorrhage and hemodynamic instability. For patients with failed UAE or post-UAE recurrence who desire uterine and fertility preservation， ultrasound-guided microwave ablation represents a safe， effective， and novel minimally invasive therapeutic option.

A method for determination and targeted screening of diflorasone components in health products using ultra performance liquid chromatography-quadrupole time of flight mass spectrometry(UPLC-Q-TOF/MS)was established.Four representative diflorasone and esters(diflorasone,diflorasone diacetate,diflorasone-17-propionate,and diflorasone-21-propionate)were selected to optimize the pretreatment conditions,and 10 mL of extraction solvent dosage,15 min of extraction time and 5 g of salting-out agent as the optimal conditions were selected by response surface methodology.The results showed that the four analytes exhibited good linearity within the concentration range of 2.0?100 μg/L with the chromatographic peak area,and the correlation coefficients(R2)were all greater than 0.9990,while the results of recovery and relative standard deviation could satisfy the requirements of determination.The common characteristic ions of diflorasone and esters werem/z121 andm/z335,and their specific structures were obtained by analyzing the cleavage pathway based on the optimized determination conditions.A targeted screening method for other esters of diflorasone based on characteristic ions guidance strategy was established.This method had many advantages such as high efficiency,high sensitivity and good reproducibility,and could be used for targeted screening of diflorasone and esters in health products.The developed characteristic ion guided strategy could be employed to construct mass spectral databases for various glucocorticoids,enabling comprehensive targeted screening across a broad range of compounds.

Organ transplantation is the preferred treatment for end-stage organ failure, However, the allogenic origin of donor tissues frequently provokes rejection by the recipient's immune system. Inducing a state of immune hyporesponsiveness specific to the transplanted cells and organs, referred to as near-immunotolerance, is the ideal approach to managing transplant rejection. Currently, various strategies have been explored to achieve immune hyporesponsiveness, including cell-based immune induction, chimerism induction, co-stimulatory pathway blockade, apoptosis induction, targeted clearance of memory T cells, and the use of exosomes or nanoparticles for drug delivery to induce tolerance. This review highlights the importance of achieving immune tolerance in clinical medicine to ensure the survival of both allografts and recipients. It provides an overview of the current status and advancements in tolerance-inducing strategies in allogeneic transplantation. Additionally, the review critically examines the limitations of these approaches and discusses future directions for research in this field.

Organ transplantation is the preferred treatment for end-stage organ failure, However, the allogenic origin of donor tissues frequently provokes rejection by the recipient's immune system. Inducing a state of immune hyporesponsiveness specific to the transplanted cells and organs, referred to as near-immunotolerance, is the ideal approach to managing transplant rejection. Currently, various strategies have been explored to achieve immune hyporesponsiveness, including cell-based immune induction, chimerism induction, co-stimulatory pathway blockade, apoptosis induction, targeted clearance of memory T cells, and the use of exosomes or nanoparticles for drug delivery to induce tolerance. This review highlights the importance of achieving immune tolerance in clinical medicine to ensure the survival of both allografts and recipients. It provides an overview of the current status and advancements in tolerance-inducing strategies in allogeneic transplantation. Additionally, the review critically examines the limitations of these approaches and discusses future directions for research in this field.

Objective To establish the phylogenic relationships among genus Botrychium,and to develop better molecular markers,along with to gain better understanding of cytonuclear coordination patterns of RuBisCO enzyme,the current article sampled two species(e.g.Botrychium ternatum(Thunb.)Sw.and Botrychium virginianum(L.)Sw.),and applied sequencing approaches for the data mining.Methods The assembly results of chloroplast(cp)genomes from B.ternatum and B.virginianum were determined via de novo hybrid assemble approach with the help of short reads(Illumina)and long reads(PacBio and Nanopore).Then the phylogenic relationships of 18 fern species were reconstructed based on the protein coding sequences from the cp genome and the rbcS gene,which were fished out of the RNA-seq data from SRA database,respectively.Then the adaptive selection and co-evolutionary analysis were employed to investigate the evolutionary trajectories of rbcL(cp genome)and rbcS(nuclear genome)genes.Results The full length of cp genome in the two genus Botrychium species were determined as 139 063 bp(NC_060644)and 139 372 bp(OR609363).Then 92 SSR sites and 78 SSR sites were identified in the current two cp genomes,respectively.The collinearity analysis showed high relevant relationship between the current two species,and significant relationship within both species among the inverted repeats regions.The adaptation and coevolution investigations illustrated the following results:①Coevolution network exists between RBCL and RBCS subunits from the fern RuBisCO enzyme.②Positively selected sites were significantly detected among both rbcL and rbcS genes.③Two coevolutionary pair sites from the two genes(e.g.site 11 in RBCL and site 106 in RBCS)were significantly positively selected,which may demonstrate a molecular pattern for the fern species fine-tuning the RuBisCO enzyme during the long earth history via the cytonuclear coordination.Conclusion Our current research shed a new light on the phylogenetic relationship of the genus Botrychium among the fern backbone-tree and provided amount of cpSSR sites with the potential as molecular markers for further population study on B.ternatum and B.virginianum.Moreover,our adaptation and coevolution investigations on rbcL and rbcS genes might indicate that the underlying cytonuclear coordination between the organelle and nuclear in cell of fern species for fine-tuning the key photosynthesis enzyme RuBisCO to gain better fitness according to the changing environment of earth during the geologic time-scale.

Objective Five chloroplast(cp)genomes from members of genus Polygonatum were assembled by hybrid assembly technique,and their intraspecic and interspecific differences were analyzed by comparative genomic method.Codon usage patterns and influencing factors were determined,and the cp genome data were applied to understand the phylogenomic relationships in the entire genus Polygonatum along with the available data.Methods In this study,the chloroplast genomes of 5 species of genus Polygonatum were assembled using Unicycler software.Sequence alignment,collinearity analysis,boundary analysis and other methods were used to evaluate the interspecific differences of these five species.Nucleotide polymorphism analysis was used to discover the high-variation sites of the five species and their related species,predict the distribution of different long repeat sequences and SSRs,and then analyze the use bias of Polygonatum code.Finally,phylogenetic tree was constructed with the coding sequences of other 47 genus Polygonatum and their closely related species to explore their phylogenetic relationships in this study.Results ①Chloroplast genomes of 155 408-155 623 bp were assembled from five species of Polygonatum.A total of 132-133 genes were annotated,and 369 long repeats and 1553 simple repeats were detected.②The contraction and expansion of chloroplast genomes in 8 species were not obvious at the IRs boundary,and the size and distribution of individual genes at the LSC-IRs-SSC boundary,such as ndhF gene and ycf1 gene,were slightly different.No interspecific or intraspecific rearrangement was observed in 8 species.③ The high-variation regions of the 8 chloroplast genomes are mainly located in two single-copy regions,the duplicate copy region is relatively conserved,and the coding region is more conserved than the non-coding region.High nucleotide polymorphic loci rps16-trnQ,trnS-trnG,trnTUGU-trnL,ndhF-rpl32 and rpl32-trnL are located in the single copy region and most of them are gene spacer regions.④ The codon preference results showed that the codon preference of the five species was similar and mainly affected by selection pressure,and the third base of the codon played A dominant role and mainly ended in A/U.RSCU clustering heat map shows that PK and PZ,PCB and PS have close relationship.⑤ Phylogenetic trees divided 52 species into five branches:Ⅰ,Ⅱ,Ⅲ,ⅣandⅤ.PS,PK,PCB,PCZ and PZ were divided into ⅣandⅤbranches,among which PK and PZ were most closely related,while PCZ was more distant than the other four,was divided into the Ⅴbranch alone.Conclusion This study provided a reference for the phylogenetic research and molecular marker development of the medicinal plants of the Polygonum genus.