ObjectiveStroke poses a heavy burden due to its high mortality and morbidity rates. Accurate and real-time detection of lesions is pivotal for prompt clinical intervention and favorable prognosis. Electrical impedance tomography (EIT) and microwave tomography (MWT) have emerged as compelling alternatives for stroke screening, owing to their non-ionizing, non-invasive and portable nature. EIT provides information on tissue conductivity, and MWT offers high sensitivity to changes in dielectric properties. However, single-modality imaging is inherently limited, EIT suffers from low sensitivity to deep-seated tissues and severe ill-posedness of inverse problems, whereas MWT is challenged by strong nonlinearity in inverse scattering and susceptibility to modeling errors. Consequently, the clinical utility of standalone EIT or MWT for stroke diagnosis remains constrained by poor spatial resolution and imaging artifacts. To improve the accuracy and robustness of stroke imaging, a dual-modality fusion conditional denoising diffusion probabilistic model (DM-DDPM) was proposed for high-precision dual-modality image reconstruction. MethodsA dual-encoder network with a symmetric architecture and independently trained parameters was constructed to extract heterogeneous features separately from EIT boundary voltage measurements and MWT scattered field signals. Attentional feature fusion (AFF) is employed to integrate complementary information from the two modalities adaptively, generating robust fused priors that suppress redundant noise while preserving key physical characteristics. Subsequently, the fused priors are embedded into a Transformer-based diffusion model via a cross attention mechanism to guide the reverse denoising process. This approach effectively reduces artifacts and enhances the stability of conductivity distribution reconstruction. Time step embedding is introduced to enable the network to perceive the diffusion stage and further improve the accuracy of noise prediction. ResultsSimulated experiments demonstrated that DM-DDPM significantly outperforms single-modality and multi-modality networks under various noise levels. A head model simulation dataset was constructed based on COMSOL Multiphysics, and tests were carried out under 50 dB, 40 dB and 30 dB signal-to-noise ratio levels. At 30 dB, the average relative error (RE) was below 0.20, while the structural similarity index measure (SSIM) and correlation coefficient (CC) remained above 0.90 and 0.89, respectively. Compared with single-modality and multi-modality networks, artifacts were significantly reduced, lesion edges were clearer, and localization was more accurate. The model maintains high reconstruction quality and strong robustness for single, double, and triple lesions simultaneously. Furthermore, physical experiments were conducted using a 16-electrode EIT system and a 16-antenna MWT system with asynchronous data acquisition. These experiments confirmed the feasibility of the method in real-world scenarios and demonstrated that it can robustly reconstruct simulated lesions despite environmental interference and measurement noise, validating its reliability for practical clinical applications. ConclusionThe proposed method effectively combines complementary dual-modality information with a conditional diffusion model. Low accuracy and poor noise resistance in single-modality imaging were effectively addressed, while the noise amplification issue caused by direct multimodal data fusion was avoided. The proposed algorithm exhibits strong anti-noise interference ability and high imaging stability in both simulation and physical experiments. Precise localization of stroke lesions with different quantities was achieved, providing a high-precision, and practical technical support for clinical stroke detection.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

The collateral disease theory stands as one of the most instructive frameworks for elucidating the pathology of Mycoplasma pneumoniae pneumonia （MPP）. Its characteristic pathological features—toxin damaging collaterals， dysfunction of Qi collaterals， and protracted illness involving collaterals—closely align with the manifestations of cytokine storms， immune dysregulation， and chronic damage induced by M. pneumoniae （MP）. Drug-resistant MP further exacerbates these manifestations and poses challenges in clinical treatment， making it essential to clarify the intrinsic relationship between the collateral disease theory and MPP. However， existing studies still lack relevant elaboration， resulting in a gap in guidance by traditional Chinese medicine （TCM） theory in clinical practice. Considering the instructive， scientific， and necessary role of the collateral disease theory in MPP， this paper thoroughly elucidates the pathological manifestations of MPP and the core evolutionary characteristics of collateral damage， and further provides a scientific interpretation from the perspective of collateral disease on the clinical efficacy and mechanism of TCM treatment of MPP over the past five years. This review aims to reveal the intrinsic relationship between the collateral disease theory and MPP， enrich the scientific connotation of TCM theory， and bridge the gap in TCM theoretical guidance， thereby providing scientific research clues for TCM treatment of MPP.

Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective To construct a symptom network in patients with acute type A aortic dissection(ATAAD),so as to provide theoretical basis for the screening of dissection ATAAD during emergency pre-screening triage.Methods There were 433 patients diagnosed with ATAAD during 2019 to 2023 in an emergency department of a tertiary hospital in Wuhan.Their basic information and medical records were reviewed by self-designed data questionnaire.UCINET6.0 software was used to construct a symptom network,analyze the centrality index and determine the core symptoms.Symptom distribution of patients with positive and negative blood pressure in extremities was analyzed in the further.Results The most common symptoms in patients with type A aortic dissection were chest pain(77.37％),back pain(42.96％),and sweating(29.79％).In the symptom network,chest pain had the highest degree(rs=659).The closeness of chest pain,chest tightness,shortness of breath,back pain,nausea and vomiting,limb numbness and fatigue were same(rc=93.33).Fatigue has the highest betweenness(rb=13.69).Patients with positive limbs blood pressure mainly reported chest pain(70.17％),back pain(44.96％),and nausea and vomiting(19.33％),while those with negative limb blood pressure mainly reported chest pain(63.64％),back pain(63.64％),and orosphyalgia(39.40％).Orosphyalgia had the highest degree(rs=20).Conclusion The symptoms of ATAAD are complex and varied in patients.During triage,nurses should measure the limb blood pressure when patients complained chest pain alone or when combined with other hypoperfusion symptoms,such as back pain,chest tightness,sweating,near-death sensation,and shortness of breath.Aortic dissection cannot be ruled out in patients with negative blood pressure when they had chest pain,back pain or orosphyalgia.

Objective:To compare the lung shunt fraction (LSF) of 90Y imaging after 90Y-selective internal radiation therapy (SIRT) and preoperative 99Tc m-macroaggregated albumin (MAA) imaging in patients with liver malignant tumors, and compare the volume and visual score of intrahepatic distribution of both nucleins on SPECT/CT images. Methods:A total of 91 patients with liver malignant tumors (78 males, 13 females; age (56.7±13.7)years; 99 cases) who underwent 90Y-SIRT in the Second Affiliated Hospital of Guangzhou Medical University from November 2022 to June 2024 were retrospectively collected. All patients underwent preoperative 99Tc m-MAA simulation and postoperative 90Y distribution verification by whole-body planar scintigraphy and hepatic SPECT/CT imaging. ROIs of the liver and lungs under the anterior-posterior position were delineated on the planar scintigraphy and LSF of 99Tc m-MAA and 90Y were calculated. The volume of interest (VOI) was drawn on the SPECT/CT images to calculate the nuclide distribution volume of both 99Tc m-MAA and 90Y within the liver. Wilcoxon signed rank test was used to compare the difference between two groups. In addition, the liver was divided into five lobes, namely left lateral lobe, left medial lobe, caudate lobe, right anterior lobe and right posterior lobe. Visual assessment of 90Y and 99Tc m-MAA radioactive distribution was performed ( 90Y and 99Tc m-MAA uptakes were graded on a scale of 0-3, where 0 indicated no nuclide accumulation and 3 indicated heavy accumulation). Kappa consistency test was used to analyze the scores of the corresponding lobes between two groups. Results:LSF for 99Tc m-MAA was 11.60%(4.27%, 15.03%), and LSF for 90Y was 11.80%(9.70%, 13.30%), without significant difference ( Z=-1.50, P=0.134). The distribution volume of 99Tc m-MAA within the liver was 542.63(204.00, 818.00)ml, which was significantly different from that of 90Y (688.69(287.00, 954.00)ml; Z=-7.37, P<0.001). Kappa values of the score of each lobe between 99Tc m-MAA imaging and 90Y imaging were 0.469-0.740 (all P<0.001). Conclusions:99Tc m-MAA simulation is reliable for assessing LSF for 90Y-SIRT. The distribution volume of 99Tc m-MAA is generally smaller than that of 90Y, but the consistency of the visual score of radioactive distribution is high. Overall, 99Tc m-MAA may well simulate the distribution pattern of 90Y-SIRT.

Post-stroke aphasia(PSA)is one of the common complications of stroke,which seriously affects the compliance of rehabilitation training and daily life of patients.Repetitive transcranial magnetic stimulation(rTMS)is a common method for the treatment of PSA in recent years,which can accurately regulate the speech center,and stimulate or inhibit the corresponding targets,to achieve the purpose of neural function remodeling.This article analyzes and summarizes the research on the application of rTMS in PSA at home and abroad,as well as related evaluation indicators,to provide the theoretical basis for the scientific application of rTMS in PSA in the future.

Objective Taking into account the physical and mental characteristics of patients with COPD,we develop and implement a lung rehabilitation education game software,aiming to explore more effective health education practices for COPD.Methods Drawing on the Health Belief Model theory,the game content was developed by semi-structured interviews,brainstorming sessions,and expert consultations,and it was implemented via a WeChat mini program.Patients with COPD from the respiratory department of a tertiary general hospital of Luzhou city between March and October 2023 were conveniently selected as the study subjects.Among them,40 patients from July to October 2023 were designated as an experimental group,and another 40 from March to June 2023 constituted a control group.The experimental group was provided with routine health education combined with pulmonary rehabilitation games,whereas the control group received standard health education.After the intervention,the researchers compared the COPD knowledge questionnaire scores and pulmonary rehabilitation adherence between the 2 groups,and assessed the satisfaction of both patients and nurses with the software.Results No sample detachment.The score of the COPD knowledge questionnaire in the experimental group was higher than that in the control group,and the difference was statistically significant(Z=5.361,P＜0.001).The proportion of patients in the experimental group with good adherence to pulmonary rehabilitation(85％)was significantly higher than it in the control group(25％),(x2=29.091,P＜0.001).The patients'overall satisfaction rate with the game was 95％,with operational effectiveness receiving the highest satisfaction rating at 97％.Conclusion The pulmonary rehabilitation education game for patients with COPD can improve their knowledge of COPD,enhance their compliance with pulmonary rehabilitation.Patients have high satisfaction with the software.The software enriches the clinical health education methods,which can be used in clinical practice.

Objective:To investigate the efficacy and safety of metallic stent implantation for the treatment of central airway malacia following lung transplantation.Methods:Clinical data of 14 recipients who underwent metallic stent implantation for central airway malacia after lung transplantation at Wuxi People's Hospital Affiliated to Nanjing Medical University from January 2023 to June 2024 were retrospectively analyzed. Clinical symptoms, modified Medical Research Council (mMRC) dyspnea scale scores, Karnofsky Performance Status (KPS) scores, and pulmonary function were evaluated before and 2 weeks after stent implantation. The incidence of post-implantation complications was recorded during follow-up.Results:Among the 14 recipients, 13 were male and 1 was female, with a mean age of (57.29±10.93) years (range: 27-71 years). All patients successfully underwent metallic stent placement in a single attempt, with no serious intraoperative complications. Clinical symptoms such as dyspnea improved significantly after stent implantation. Compared with pre-treatment values, mMRC scores decreased [3.00 (2.00, 4.00) vs 1.00 (1.00, 2.00), P<0.001], KPS scores increased [30.00 (10.00, 32.50) vs 80.00 (60.00, 90.00), P=0.001], and forced expiratory volume in one second (FEV 1) improved [(1.25±0.42) L vs (1.74±0.38) L, P=0.006]. Postoperative complications included granulation tissue formation (7 cases), epithelialization within the stent (3 cases), and mucus plugging (4 cases). As of the last follow-up in September 2024, eight patients had their stents successfully removed, and one patient had died due to cytomegalovirus infection. Conclusions:Metallic stent implantation can significantly relieve clinical symptoms of central airway malacia after lung transplantation, improve quality of life, and shows a favorable safety profile.