Purpose To investigate the differential diagnosis of diffusion-weighted imaging(DWI),perfusion-weighted imaging(PWI)and DWI combined with PWI in supratentorial pilocytic astrocytoma(PA)and WHO grade 2 pleomorphic xanthoastrocytoma(PXA).Materials and Methods The conventional MRI,DWI and PWI data of 23 cases of supratentorial PA and 11 cases of PXA(WHO grade 2)in the First Affiliated Hospital of Fujian Medical University from January 2010 to February 2022 were retrospectively analyzed.Supratentorial PA was further divided into lobar PA and non-lobar PA based on the lesion location.The basic data(gender,age,cystic degeneration,homogeneous enhancement,lesion size and meningeal involvement),minimum apparent diffusion coefficient,relative apparent diffusion coefficient and relative maximum cerebral blood volume were compared and analyzed between the two groups.Results The probability of leptomeningeal involvement in PXA(WHO grade 2)(36.3%)was higher than that in supratentorial PA(4.3%,P=0.029).Compared with supratentorial PA and lobar PA,PXA(WHO grade 2)had lower minimum apparent diffusion coefficient,relative apparent diffusion coefficient and higher relative maximum cerebral blood volume(t=-4.398-5.828,all P<0.05).The threshold value of minimum apparent diffusion coefficient to discriminate between supratentorial PA and PXA(WHO grade 2)was 1.09×10-3 mm2/s,and its sensitivity,specificity and area under the curve were 90.91%,83.33%and 0.947,respectively.When the differential diagnosis threshold of relative maximum cerebral blood volume was 1.79,its sensitivity,specificity and area under the curve were 90.00%,100.00%and 0.950,respectively.The area under the curve of DWI combined with PWI was 0.993,which did not significantly improve the diagnostic performance compared with DWI and PWI respectively(Z=1.371,0.928,both P>0.05).In subgroup analysis,the area under the curve of DWI combined with PWI in lobar PA and PXA(WHO grade 2)was 0.988,which did not improve the diagnostic performance compared with DWI and PWI respectively(Z=1.322,0.882,both P>0.05).Conclusion DWI and PWI are helpful in the differential diagnosis of PXA(WHO grade 2)from supratentorial PA and lobar PA,but combining DWI and PWI does not significantly improve the efficacy of differential diagnosis.

tRNA is one of the RNA molecules with the most diverse post-transcriptional modifications.It not only functions as an adaptor molecule transporting amino acids during translation but also relies on its extensive post-transcriptional modifications to regulate gene expression,thereby influencing numerous bio-logical processes.These modifications are dynamically regulated by tRNA methyltransferases and demeth-ylases,which collaboratively maintain a balance-the former catalyze methyl group addition,while the latter remove methyl groups,ensuring reversible control.Mutations or dysregulation of these enzymes are closely associated with tumorigenesis and other diseases,constituting a major research focus.They pro-mote tumor progression through two distinct pathways:cytoplasmic tRNA(ctRNA)methylation enhances the translation of oncogenes,whereas mitochondrial tRNA(mtRNA)methylation optimizes mitochondrial protein synthesis to reprogram energy metabolism.From the dual dimensions of"enzyme supply"and"energy provision",tRNA methylation establishes a material foundation for tumor cell growth and directly contributes to cell cycle dysregulation.The cell cycle,an orderly process governing cell division,is tight-ly controlled by checkpoint proteins to guarantee accurate genetic information transmission.Notably,ab-errant cell cycle activation is not only a hallmark of cancer but also a pivotal therapeutic target.tRNA methyltransferases and demethylases exert multidimensional control over both cell cycle progression and metabolic adaptation.Elucidating the mechanisms underlying tRNA modification mediated cell cycle reg-ulation will not only accelerate the discovery of novel therapeutic targets but may also overcome the con-straints of conventional cell cycle targeted therapies.Within this context,we systematically review the molecular mechanisms by which tRNA methylation-modifying enzymes regulate the cell cycle,with an emphasis on their translational potential.

BACKGROUND:The highest incidence of spinal fracture is in the thoracolumbar segment,and its symptoms are back pain,posterior convexity deformity,activity limitation,or with spinal cord nerve injury causing lower limb pain,numbness,and even paraplegia and other complications.The finite element method is a digital computer modeling technique,which can simulate the physical model and carry out force analysis realistically.OBJECTIVE:To review the application of finite element method in thoracolumbar spine fractures.METHODS:We searched the Chinese and English literature databases PubMed,Web of Science,and CNKI for relevant literature on the application of the finite element analysis method in spinal thoracolumbar fracture published before March 2024.The search terms in Chinese and English were:finite element analysis methods,biomechanical phenomena,stress analysis,thoracolumbar fractures,spinal fractures.Finally,55 papers were included.RESULTS AND CONCLUSION:(1)The exploration of thoracolumbar fractures caused by different etiologies(osteoporotic,traumatic,and pathological)through the finite element method is conducive to a deeper understanding of the biomechanics of various types of thoracolumbar fractures,and to improve the individualized and fine-tuned treatment of thoracolumbar fractures.(2)The finite element analysis of a single sample or a small number of samples has the chance,and a larger number of samples are required for the future finite element analysis to reduce the chance caused by the sample.(3)The rigid structure of bones alone cannot meet the biomechanical working conditions of the integrity of the physical object,and future finite element models need to incorporate all the structures of the physical object(e.g.,soft tissues,such as muscles and ligaments)as far as possible.(4)The finite element method has been used in more studies on osteoporotic and traumatic thoracolumbar spine fractures,which will need to be more in-depth in the future,and less in the field of pathologic thoracolumbar fractures,which has a wider scope for future research.

tRNA is one of the RNA molecules with the most diverse post-transcriptional modifications.It not only functions as an adaptor molecule transporting amino acids during translation but also relies on its extensive post-transcriptional modifications to regulate gene expression,thereby influencing numerous bio-logical processes.These modifications are dynamically regulated by tRNA methyltransferases and demeth-ylases,which collaboratively maintain a balance-the former catalyze methyl group addition,while the latter remove methyl groups,ensuring reversible control.Mutations or dysregulation of these enzymes are closely associated with tumorigenesis and other diseases,constituting a major research focus.They pro-mote tumor progression through two distinct pathways:cytoplasmic tRNA(ctRNA)methylation enhances the translation of oncogenes,whereas mitochondrial tRNA(mtRNA)methylation optimizes mitochondrial protein synthesis to reprogram energy metabolism.From the dual dimensions of"enzyme supply"and"energy provision",tRNA methylation establishes a material foundation for tumor cell growth and directly contributes to cell cycle dysregulation.The cell cycle,an orderly process governing cell division,is tight-ly controlled by checkpoint proteins to guarantee accurate genetic information transmission.Notably,ab-errant cell cycle activation is not only a hallmark of cancer but also a pivotal therapeutic target.tRNA methyltransferases and demethylases exert multidimensional control over both cell cycle progression and metabolic adaptation.Elucidating the mechanisms underlying tRNA modification mediated cell cycle reg-ulation will not only accelerate the discovery of novel therapeutic targets but may also overcome the con-straints of conventional cell cycle targeted therapies.Within this context,we systematically review the molecular mechanisms by which tRNA methylation-modifying enzymes regulate the cell cycle,with an emphasis on their translational potential.

Purpose To investigate the differential diagnosis of diffusion-weighted imaging(DWI),perfusion-weighted imaging(PWI)and DWI combined with PWI in supratentorial pilocytic astrocytoma(PA)and WHO grade 2 pleomorphic xanthoastrocytoma(PXA).Materials and Methods The conventional MRI,DWI and PWI data of 23 cases of supratentorial PA and 11 cases of PXA(WHO grade 2)in the First Affiliated Hospital of Fujian Medical University from January 2010 to February 2022 were retrospectively analyzed.Supratentorial PA was further divided into lobar PA and non-lobar PA based on the lesion location.The basic data(gender,age,cystic degeneration,homogeneous enhancement,lesion size and meningeal involvement),minimum apparent diffusion coefficient,relative apparent diffusion coefficient and relative maximum cerebral blood volume were compared and analyzed between the two groups.Results The probability of leptomeningeal involvement in PXA(WHO grade 2)(36.3%)was higher than that in supratentorial PA(4.3%,P=0.029).Compared with supratentorial PA and lobar PA,PXA(WHO grade 2)had lower minimum apparent diffusion coefficient,relative apparent diffusion coefficient and higher relative maximum cerebral blood volume(t=-4.398-5.828,all P<0.05).The threshold value of minimum apparent diffusion coefficient to discriminate between supratentorial PA and PXA(WHO grade 2)was 1.09×10-3 mm2/s,and its sensitivity,specificity and area under the curve were 90.91%,83.33%and 0.947,respectively.When the differential diagnosis threshold of relative maximum cerebral blood volume was 1.79,its sensitivity,specificity and area under the curve were 90.00%,100.00%and 0.950,respectively.The area under the curve of DWI combined with PWI was 0.993,which did not significantly improve the diagnostic performance compared with DWI and PWI respectively(Z=1.371,0.928,both P>0.05).In subgroup analysis,the area under the curve of DWI combined with PWI in lobar PA and PXA(WHO grade 2)was 0.988,which did not improve the diagnostic performance compared with DWI and PWI respectively(Z=1.322,0.882,both P>0.05).Conclusion DWI and PWI are helpful in the differential diagnosis of PXA(WHO grade 2)from supratentorial PA and lobar PA,but combining DWI and PWI does not significantly improve the efficacy of differential diagnosis.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

BACKGROUND:The highest incidence of spinal fracture is in the thoracolumbar segment,and its symptoms are back pain,posterior convexity deformity,activity limitation,or with spinal cord nerve injury causing lower limb pain,numbness,and even paraplegia and other complications.The finite element method is a digital computer modeling technique,which can simulate the physical model and carry out force analysis realistically.OBJECTIVE:To review the application of finite element method in thoracolumbar spine fractures.METHODS:We searched the Chinese and English literature databases PubMed,Web of Science,and CNKI for relevant literature on the application of the finite element analysis method in spinal thoracolumbar fracture published before March 2024.The search terms in Chinese and English were:finite element analysis methods,biomechanical phenomena,stress analysis,thoracolumbar fractures,spinal fractures.Finally,55 papers were included.RESULTS AND CONCLUSION:(1)The exploration of thoracolumbar fractures caused by different etiologies(osteoporotic,traumatic,and pathological)through the finite element method is conducive to a deeper understanding of the biomechanics of various types of thoracolumbar fractures,and to improve the individualized and fine-tuned treatment of thoracolumbar fractures.(2)The finite element analysis of a single sample or a small number of samples has the chance,and a larger number of samples are required for the future finite element analysis to reduce the chance caused by the sample.(3)The rigid structure of bones alone cannot meet the biomechanical working conditions of the integrity of the physical object,and future finite element models need to incorporate all the structures of the physical object(e.g.,soft tissues,such as muscles and ligaments)as far as possible.(4)The finite element method has been used in more studies on osteoporotic and traumatic thoracolumbar spine fractures,which will need to be more in-depth in the future,and less in the field of pathologic thoracolumbar fractures,which has a wider scope for future research.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny