Objective To explore the value of ECG-less technology and deep learning image reconstruction(DLIR)algorithm for coronary CT angiography(CCTA).Methods Seventy-one patients with suspected coronary artery disease(CAD)were prospectively enrolled and randomly divided into group A(n=35,underwent CCTA using ECG-less technology)and B(n=36,underwent CCTA using physical electrocardiographic gating).CCTA images of group A were reconstructed using filtered back projection(FBP),adaptive statistical iterative reconstruction V(ASiR-V)(50％blending)and high-strength DLIR(DLIR-H),respectively,while those of group B were reconstructed using conventional ASiR-V(50％blending).The radiatio n doses and examination durations of CCTA were compared between groups.Then subjective and objective evaluation of imaging quality were compared between groups and within group A among 3 reconstruction algorithms.Results No significant difference of radiation dose of CCTA was found between groups(P＞0.05).The examination duration in group A was reduced by approximately 29.37％compared to group B(P＜0.05).No significant difference of subjective image quality scores nor objective evaluation of ASiR-V reconstructed CCTA was detected between groups(all P＞0.05).In group A,compared to FBP algorithm,subjective image quality scores of DLIR-H and ASiR-V upgraded,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)increased and standard deviation(SD)values decreased(all P＜0.05),but no significant difference of CT values was found(all P＞0.05).Conclusion ECG-less technology could significantly shorten CCTA examination duration,while DLIR could reduce image noise and improve image quality of CCTA.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective:To analyze and summarize the clinical features and short-medium term follow-up results of children with multisystem inflammatory syndrome（MIS-C）following coronavirus infection.Methods:The data of six children with MIS-C admitted to the Intensive Care Unit of Shanghai Children's Medical Center from January to March 2023 were retrospectively analyzed.Results:All six cases were in shock，requiring vasoactive drugs，and one case required invasive mechanical ventilation.All the six patients had multiple organ function injury and increased inflammation indicators.After admission，they received organ support，glucocorticoids and gamma globulin treatment.Two patients were treated with biological agents.Both organ function and inflammation indicators showed significantly improvement after therapy.Six patients had mild coronary artery widening.All patients had good prognosis following short-medium term follow-up.Conclusion:Children with severe MIS-C may suffer life-threatening hemodynamic instability.Timely assessment，active anti-inflammatory and organ support therapy can obtain favorable prognosis.

Objective To explore the value of ECG-less technology and deep learning image reconstruction(DLIR)algorithm for coronary CT angiography(CCTA).Methods Seventy-one patients with suspected coronary artery disease(CAD)were prospectively enrolled and randomly divided into group A(n=35,underwent CCTA using ECG-less technology)and B(n=36,underwent CCTA using physical electrocardiographic gating).CCTA images of group A were reconstructed using filtered back projection(FBP),adaptive statistical iterative reconstruction V(ASiR-V)(50％blending)and high-strength DLIR(DLIR-H),respectively,while those of group B were reconstructed using conventional ASiR-V(50％blending).The radiatio n doses and examination durations of CCTA were compared between groups.Then subjective and objective evaluation of imaging quality were compared between groups and within group A among 3 reconstruction algorithms.Results No significant difference of radiation dose of CCTA was found between groups(P＞0.05).The examination duration in group A was reduced by approximately 29.37％compared to group B(P＜0.05).No significant difference of subjective image quality scores nor objective evaluation of ASiR-V reconstructed CCTA was detected between groups(all P＞0.05).In group A,compared to FBP algorithm,subjective image quality scores of DLIR-H and ASiR-V upgraded,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)increased and standard deviation(SD)values decreased(all P＜0.05),but no significant difference of CT values was found(all P＞0.05).Conclusion ECG-less technology could significantly shorten CCTA examination duration,while DLIR could reduce image noise and improve image quality of CCTA.

Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca²⁺ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a^-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a^-/- OPCs in vitro and myelination in Tmem63a^-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca²⁺ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals ; Cell Differentiation/physiology* ; Oligodendroglia/metabolism* ; Mice, Knockout ; Mice ; Male ; Myelin Sheath/metabolism* ; Humans ; Child ; Cells, Cultured ; Oligodendrocyte Precursor Cells/metabolism*

Objective To investigate the effects of remimazolam(REM)on cerebral ischemia-reperfusion injury(CIRI)rats and the AMP-activated protein kinase(AMPK)/NOD-like receptor protein 3(NLRP3)signaling pathway.Methods One hundred rats were selected to construct the CIRI rat model(Mod)and stochastically separated into a Mod group,low,medium,and high dose remifentanil groups(REM-L,REM-M,REM-H),and high dose remifentanil+pathway inhibitor Compound C group(REM-H+Compound C),with 20 rats in each group.Another 20 healthy rats were included as the control(Ctrl)group.All rats were subjected to neurobehavioral scoring.The water content,infarct area,and oxidative stress indicators of brain tissue were detected.The morphology and apoptosis of brain tissue were observed by HE and TUNEL staining.Western blotting was applied to detect protein expression related to the AMPK/NLRP3 signaling pathway.Results Compared with the Mod group,with the increase of REM dose,the movement disorders in rats were alleviated,the overall structure of brain tissue gradually recovered,pathological damage was reduced,the area of cerebral infarction,brain water content,and apoptosis rate of brain tissue cells decreased,reactive oxygen species(ROS)level,malondialdehyde(MDA)content,and NLRP3 and Caspase-1 protein expression levels decreased,superoxide dismutase the(SOD)content and AMPK protein expression level increased(P＜0.05).Compared with the REM-H group,the REM-H+Compound C group showed aggravated motor disorders,and more severe pathological damage to brain tissue,the area of cerebral infarction,cerebral water content and apoptosis rate of brain tissue cells increased,the ROS level,MDA content and the protein expression of NLRP3 and Caspase-1 increased,while the content of SOD and the protein expression decreased(P＜0.05).Conclusion Remimazolam can enhance the antioxidant function of the body,reduce brain cell apoptosis,alleviate brain tissue injury,and thus have a certain protective effect on ischemia-reperfusion brain injury in rats,the mechanism of which may be related to the activation of the AMPK/NLRP3 signaling pathway.

Objective:To analyze and summarize the clinical features and short-medium term follow-up results of children with multisystem inflammatory syndrome（MIS-C）following coronavirus infection.Methods:The data of six children with MIS-C admitted to the Intensive Care Unit of Shanghai Children's Medical Center from January to March 2023 were retrospectively analyzed.Results:All six cases were in shock，requiring vasoactive drugs，and one case required invasive mechanical ventilation.All the six patients had multiple organ function injury and increased inflammation indicators.After admission，they received organ support，glucocorticoids and gamma globulin treatment.Two patients were treated with biological agents.Both organ function and inflammation indicators showed significantly improvement after therapy.Six patients had mild coronary artery widening.All patients had good prognosis following short-medium term follow-up.Conclusion:Children with severe MIS-C may suffer life-threatening hemodynamic instability.Timely assessment，active anti-inflammatory and organ support therapy can obtain favorable prognosis.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To explore the prognostic value of a combined model of baseline 18F-FDG PET/CT tumor metabolic parameters and clinical factors for predicting progression-free survival (PFS) in Hodgkin′s lymphoma (HL). Methods:From January 2014 to May 2023, 171 HL patients (102 males, 69 females; median age 40 years) who underwent 18F-FDG PET/CT before treatment at the First Affiliated Hospital of Nanjing Medical University and Nanjing Drum Tower Hospital were retrospectively collected. HL patients from the First Affiliated Hospital of Nanjing Medical University were classified as the training set (101 patients) and HL patients from Nanjing Drum Tower Hospital were classified as the validation set (70 patients). Clinical factors and tumor metabolic parameters associated with PFS were determined by multivariate Cox regression analysis, and then the combined model and the independent model of each factor were constructed respectively. The consistency index (C-index) and AUC were used to evaluate the predictive efficacy of models, and nomogram was constructed based on the optimal model, and calibration curves were used to assess the goodness of fit of the models. The differences in Kaplan-Meier survival curves of the high-risk and low-risk groups were compared using log-rank test. Results:The multivariate Cox regression analysis indicated that the independent prognostic factors associated with PFS were the Lugano staging (hazard ratio ( HR)=3.10, 95% CI: 1.17-8.23, P=0.023), total metabolic tumor volume (TMTV) ( HR=2.65, 95% CI: 1.23-5.74, P=0.014), and maximum distance between tumors ( Dmax) ( HR=2.23, 95% CI: 1.02-4.85, P=0.044). These factors were used to construct the combined model, with the highest prognostic efficacy of the C-index for the training and validation sets of 0.692 and 0.653, and the AUC of 0.732 and 0.697, respectively. The calibration curves demonstrated that the predictions made by the combined model were in high agreement with the actual results in both the training and validation sets. The Kaplan-Meier analysis revealed a significantly lower PFS rate in the high-risk group compared to the low-risk group both in training and validation sets ( χ2 values: 5.88 and 4.52, P values: 0.015 and 0.033). Conclusion:The combined model incorporating tumor metabolic parameters and clinical factors improves prognostic efficacy in predicting PFS in HL patients.