Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-mo...Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-motor symptoms also constitute a major part of the overall phenotype.Clinically,this disease cannot be diagnosed reliably until a large part of the vulnerable dopaminergic neurons has been irretrievably lost,and the disease progresses inexorably.New biological criteria for PD have been proposed recently and might eventually improve early diagnosis,but they require further validation,and their use will initially be restricted to a research environment(Darweesh et al.,2024).展开更多
Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disab...Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disability globally.There were 64,000 TBI related deaths reported in the USA in 2020,with about US$76 billion in direct and indirect medical costs annually.展开更多
Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The ...Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.展开更多
Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained promine...Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency.Recently,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault diagnosis.However,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative model.This complexity results in high computational costs and limited industrial applicability.To tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault diagnosis.First,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration signals.Then,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global perspective.Finally,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and Transformer.This study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.展开更多
In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,hig...In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,highlighted a strong link between early diabetes onset and major eye conditions,such as cataracts,glaucoma,agerelated macular degeneration,and vision loss,independent of glycemic control and disease duration.This finding challenges the previous belief that diabetic eye disease primarily correlates with hyperglycemia.As lifestyles evolve and the age of diabetes diagnosis decreases,understanding this relationship may reveal the complex pathogenesis underlying diabetes-related complications.This editorial summarizes potential mechanisms connecting the age of diabetes onset with four types of ocular diseases,emphasizing the significance of early diagnosis.展开更多
Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the cas...Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the case of a 65-year-old man presenting with rectorrhagia and anal pain, initially diagnosed as hemorrhoidal disease. Subsequent proctological examination revealed an ulcerating-bourging tumor, confirmed histologically as an anorectal melanoma. After a normal extension workup, an abdominoperineal amputation was performed. Anorectal melanoma is a pathology with a poor prognosis, requiring early diagnosis to improve chances of survival.展开更多
Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective to...Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.展开更多
Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastro...Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastrojejunostomy. UGIB is one of the common diseases in the clinical work of gastroenterology. There are many causes that can lead to upper gastrointestinal bleeding, which are mainly divided into two categories: one is non-variceal upper gastrointestinal bleeding (NVUGIB), and the other is variceal upper gastrointestinal bleeding (VUGIB). This article reviews various causes of UGIB and the latest progress in treatment, aiming to improve the efficiency of diagnosis and treatment in future clinical work, and reduce the risk of rebleeding and mortality.展开更多
Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not w...Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not without consequences for the countries concerned. Benin, a country in the Gulf of Guinea, is no exception to this phenomenon because, due to its maritime history, it has a heritage of port structures. These structures, built on its coastline, cause a wide variety of environmental problems such as silting and erosion on either side of them. The general objective of this article is to contribute to the proper functionality of port facilities while minimizing environmental problems that may arise. It aims to provide managers with a tool allowing them to fully understand the state of their assets in order to rationalize maintenance actions. In order to achieve this objective, an assessment of the state of the structure, and then a structural diagnosis are necessary and recommendations can be established to restore the level of service of the latter. As a result, two examples were presented: the wharf of the Sèmè-Podji pipeline project and the maritime piles project of the Wasco de Gama bridge (control project), and recommendations adapted to this objective were established. The comparative analysis of the two examples, both maritime works, revealed an under-sizing at the level of the spans of the wharf bridge of the Sèmè-Podji pipeline project (spans of 7 m in length), while these spans vary on average by 45 m to 62 m for the Wasco da Gama bridge. Bringing the piles closer together at the Sèmè-Podji wharf reduces the energy of the current which promotes the accumulation of sediment. The structure no longer experiences a flow capable of setting in motion the sands accumulated since at least 2022. This element appears to be a fundamental characteristic explaining the erosion observed to the east of the structure.展开更多
Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a tr...Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a trained operator. This antenatal diagnosis can be used to decide whether or not to continue the pregnancy. Cases presentation: Based on the authors’ experience, five (05) cases of conjoined twins were collected over a period of six years (01 January 2018-01 January 2023) in the maternity wards of the Angre’s Teaching Hospital (study location), whose diagnosis was sometimes unexpected in the delivery room. Among the five cases, we described three (03) thoraco-omphalopages and two (02) parapages, with a female predominance of 4/5. None were candidates for separation because they were stillborn or died on the first day of life. Conclusion: This series of cases highlights the different characteristics of conjoined twins and the poor fetal prognosis due to diagnostic difficulties and therapeutic possibilities that are practically non-existent in the African environment.展开更多
Post-traumatic stress disorder is a mental disorder caused by exposure to severe traumatic life events.Currently,there are no validated biomarkers or laboratory tests that can distinguish between trauma survivors with...Post-traumatic stress disorder is a mental disorder caused by exposure to severe traumatic life events.Currently,there are no validated biomarkers or laboratory tests that can distinguish between trauma survivors with and without post-traumatic stress disorder.In addition,the heterogeneity of clinical presentations of post-traumatic stress disorder and the overlap of symptoms with other conditions can lead to misdiagnosis and inappropriate treatment.Evidence suggests that this condition is a multisystem disorder that affects many biological systems,raising the possibility that peripheral markers of disease may be used to diagnose post-traumatic stress disorder.We performed a PubMed search for microRNAs(miRNAs)in post-traumatic stress disorder(PTSD)that could serve as diagnostic biomarkers and found 18 original research articles on studies performed with human patients and published January 2012 to December 2023.These included four studies with whole blood,seven with peripheral blood mononuclear cells,four with plasma extracellular vesicles/exosomes,and one with serum exosomes.One of these studies had also used whole plasma.Two studies were excluded as they did not involve microRNA biomarkers.Most of the studies had collected samples from adult male Veterans who had returned from deployment and been exposed to combat,and only two were from recently traumatized adult subjects.In measuring miRNA expression levels,many of the studies had used microarray miRNA analysis,miRNA Seq analysis,or NanoString panels.Only six studies had used real time polymerase chain reaction assay to determine/validate miRNA expression in PTSD subjects compared to controls.The miRNAs that were found/validated in these studies may be considered as potential candidate biomarkers for PTSD and include miR-3130-5p in whole blood;miR-193a-5p,-7113-5p,-125a,-181c,and-671-5p in peripheral blood mononuclear cells;miR-10b-5p,-203a-3p,-4488,-502-3p,-874-3p,-5100,and-7641 in plasma extracellular vesicles/exosomes;and miR-18a-3p and-7-1-5p in blood plasma.Several important limitations identified in the studies need to be taken into account in future studies.Further studies are warranted with war veterans and recently traumatized children,adolescents,and adults having PTSD and use of animal models subjected to various stressors and the effects of suppressing or overexpressing specific microRNAs.展开更多
Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing m...Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing monitoring of patients with cancer.However,several challenges impede the effectiveness of cancer imaging analysis in clinical practice.One difficulty is that healthcare professionals’immense clinical workloads can result in time constraints and increase pressure,thereby hindering their ability to maintain high accuracy and thoroughness in image analysis.Additionally,subjective variability among radiologists can lead to inconsistent interpretations and diagnoses.Because this variability is often influenced by personal biases,standardized assessments are often difficult to achieve.Moreover,the inherent complexity of cancer imaging necessitates extensive clinical experience;this aspect can also be a limiting factor,particularly if expertise or resources are limited.The application of artificial intelligence(AI)can alleviate these problems by enhancing the accuracy,objectivity,and efficiency of cancer imaging analysis while assisting physicians.Therefore,the advancement of AI research is crucial for achieving progress in radiology.展开更多
Dear Editor,We are writing this letter to report a special missed diagnosis case of pediatric ocular trauma with intraorbital pencil core foreign body.When an eye trauma occurs,orbital foreign bodies are widespread.Th...Dear Editor,We are writing this letter to report a special missed diagnosis case of pediatric ocular trauma with intraorbital pencil core foreign body.When an eye trauma occurs,orbital foreign bodies are widespread.The most common types of foreign bodies are metal,followed by plant foreign bodies,while oil foreign bodies are rare.展开更多
Biliary strictures are caused by both benign and malignant pathologies.Although up to 30%of biliary strictures are identified as benign,the vast majority are malignant with two major malignancies,namely pancreatic ade...Biliary strictures are caused by both benign and malignant pathologies.Although up to 30%of biliary strictures are identified as benign,the vast majority are malignant with two major malignancies,namely pancreatic adenocarcinoma and cholangiocarcinoma(CC)[1].Accurate diagnosis and precise localization play a vital role in the prognosis and management of the disease[2].In this study we primarily focused on the diagnosis of CC.The highest incidence of CC is in northeastern Thailand,where the incidence is found to be 100/100000 in males and 50/100000 in females.In Western countries,it is approximately(0.5–2.0)/100000 individuals[3].CC is most often diagnosed between the ages of 70 and 80 years[4].The prognosis of biliary malignancies is dismal with overall five-year survival as low as 10%[5].展开更多
Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,...Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,is the gold stan-dard for GC diagnosis,its high cost,invasiveness,and specialized requirements hinder widespread use for screening.With the emergence of innovative techno-logies such as advanced imaging,liquid biopsy,and breath tests,the landscape of GC diagnosis is poised for radical transformation,becoming more accessible,less invasive,and more efficient.As the non-invasive diagnostic techniques continue to advance and undergo rigorous clinical validation,they hold the promise of sig-nificantly impacting patient outcomes,ultimately leading to better treatment results and improved quality of life for patients with GC.展开更多
BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma me...BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma methylation and circulating tumor cells were detected.METHODS Plasma samples were collected from Hubei Cancer Hospital(n=156).Plasma DNA was tested to detect SHOX2,HOXA9,SEPTIN9,and RASSF1A methylation using TaqMan PCR.Circulating tumor cells(CTCs)were detected in the peripheral blood of patients using the United States Food and Drug Administration-approved cell search system before and after clinical therapy.The CCA diagnostic value was estimated using the area under the curve.The independent prognosis risk factors for patients with CCA were estimated using Cox and logistic regression analyses.RESULTS The sensitivity and specificity of the four DNA plasma methylations exhibited 64.74%sensitivity and 93.88%specificity for detecting CCA.The receiver operating characteristic curve of the combined value for CCA diagnosis in plasma was 0.828±0.032.RASSF1A plasma methylation was related to the prognosis of patients with CCA.We determined the prognostic hazard ratio for CCA using CTC count,tumor stage,methylation,and carbohydrate antigen 19-9 levels as key factors.Our overall survival nomogram achieved a C-index of 0.705(0.605-0.805).CONCLUSION SHOX2,HOXA9,SEPTIN9,and RASSF1A plasma methylation demonstrated increased sensitivity for diagnosing CCA.RASSF1A plasma methylation and CTCs were valuable predictors to assess CCA prognosis and recurrence.展开更多
This editorial discusses Thompson et al's original article,which is published in the most recent edition of the World Journal of Clinical Oncology and sheds critical light on the intertwined issues of health anxie...This editorial discusses Thompson et al's original article,which is published in the most recent edition of the World Journal of Clinical Oncology and sheds critical light on the intertwined issues of health anxiety and work loss in individuals diagnosed with serrated polyposis syndrome(SPS).SPS is rare,characterized by the development of multiple serrated colorectal polyps.This editorial provides an overview of SPS,including its pathophysiology,clinical presentation,diagnostic criteria,management strategies,and the psychosocial impact.SPS is linked to molecular alterations,which drive carcinogenesis.Colonoscopy and histological analysis are used for diagnosis.Genetic testing is also considered where there is a family history.Quality of life can be greatly impacted by the psychosocial effects of SPS,especially health anxiety.Further understanding of the molecular mechanisms and creating individualized surveillance are required.展开更多
We performed a PubMed search for microRNAs in autism spectrum disorder that could serve as diagnostic biomarkers in patients and selected 17 articles published from January 2008 to December 2023,of which 4 studies wer...We performed a PubMed search for microRNAs in autism spectrum disorder that could serve as diagnostic biomarkers in patients and selected 17 articles published from January 2008 to December 2023,of which 4 studies were performed with whole blood,4 with blood plasma,5 with blood serum,1 with serum neural cell adhesion molecule L1-captured extracellular vesicles,1 with blood cells,and 2 with peripheral blood mononuclear cells.Most of the studies involved children and the study cohorts were largely males.Many of the studies had performed microRNA sequencing or quantitative polymerase chain reaction assays to measure microRNA expression.Only five studies had used real-time polymerase chain reaction assay to validate microRNA expression in autism spectrum disorder subjects compared to controls.The microRNAs that were validated in these studies may be considered as potential candidate biomarkers for autism spectrum disorder and include miR-500a-5p,-197-5p,-424-5p,-664a-3p,-365a-3p,-619-5p,-664a-3p,-3135a,-328-3p,and-500a-5p in blood plasma and miR-151a-3p,-181b-5p,-320a,-328,-433,-489,-572,-663a,-101-3p,-106b-5p,-19b-3p,-195-5p,and-130a-3p in blood serum of children,and miR-15b-5p and-6126 in whole blood of adults.Several important limitations were identified in the studies reviewed,and need to be taken into account in future studies.Further studies are warranted with children and adults having different levels of autism spectrum disorder severity and consideration should be given to using animal models of autism spectrum disorder to investigate the effects of suppressing or overexpressing specific microRNAs as a novel therapy.展开更多
Current diagnosis of autoimmune pancreatitis(AIP)is challenging and often requires combining multiple dimensions.There is a need to explore new methods for diagnosing AIP.The development of artificial intelligence(AI)...Current diagnosis of autoimmune pancreatitis(AIP)is challenging and often requires combining multiple dimensions.There is a need to explore new methods for diagnosing AIP.The development of artificial intelligence(AI)is evident,and it is believed to have potential in the clinical diagnosis of AIP.This article aims to list the current diagnostic difficulties of AIP,describe existing AI applications,and suggest directions for future AI usages in AIP diagnosis.展开更多
BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose ...BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose conditions more quickly and effectively,ultimately benefiting patients.AIM To explore the current status and key highlights of AI-related articles in diagnosing of neurological disorders.METHODS A systematic literature review was conducted in the Web of Science Core Collection database using the following strategy:TS=("Artificial Intelligence"OR"Computational Intelligence"OR"Machine Learning"OR"AI")AND TS=("Neurological disorders"OR"CNS disorder"AND"diagnosis").The search was limited to articles and reviews.Microsoft Excel 2019 and VOSviewer were utilized to identify major contributors,including authors,institutions,countries,and journals.Additionally,VOSviewer was employed to analyze and visualize current trends and hot topics through network visualization maps.RESULTS A total of 276 publications from 2000 to 2024 were retrieved.The United States,India,and China emerged as the top contributors in this field.Major institutions included Johns Hopkins University,King's College London,and Harvard Medical School.The most prolific author was U.Rajendra Acharya from the University of Southern Queensland(Australia).Among journals,IEEE Access,Scientific Reports,and Sensors were the most productive,while Frontiers in Neuroscience led in total citations.Central topics in AI-related articles on neurological disorders diagnosis included Alzheimer's disease,Parkinson's disease,dementia,epilepsy,autism,attention deficit hyperactivity disorder,and their intersections with deep learning and AI.CONCLUSION Research on AI's role in diagnosing neurological disorders is becoming widely recognized for its growing importance.AI shows promise in diagnosing various neurological disorders,yet requires further improvement and extensive future research.展开更多
文摘Challenges in the diagnosis and treatment of Parkinson’s disease:Parkinson’s disease(PD)is an increasingly prevalent neurodegenerative disease,at first sight primarily characterized by motor symptoms,although non-motor symptoms also constitute a major part of the overall phenotype.Clinically,this disease cannot be diagnosed reliably until a large part of the vulnerable dopaminergic neurons has been irretrievably lost,and the disease progresses inexorably.New biological criteria for PD have been proposed recently and might eventually improve early diagnosis,but they require further validation,and their use will initially be restricted to a research environment(Darweesh et al.,2024).
文摘Traumatic brain injury (TBI) is defined as damage to the brain resulting from an external sudden physical force or shock to the head.It is considered a silent public health epidemic causing significant death and disability globally.There were 64,000 TBI related deaths reported in the USA in 2020,with about US$76 billion in direct and indirect medical costs annually.
基金supported by the National Natural Science Foundation of China,No.32130060(to XG).
文摘Epilepsy is a severe,relapsing,and multifactorial neurological disorder.Studies regarding the accurate diagnosis,prognosis,and in-depth pathogenesis are crucial for the precise and effective treatment of epilepsy.The pathogenesis of epilepsy is complex and involves alterations in variables such as gene expression,protein expression,ion channel activity,energy metabolites,and gut microbiota composition.Satisfactory results are lacking for conventional treatments for epilepsy.Surgical resection of lesions,drug therapy,and non-drug interventions are mainly used in clinical practice to treat pain associated with epilepsy.Non-pharmacological treatments,such as a ketogenic diet,gene therapy for nerve regeneration,and neural regulation,are currently areas of research focus.This review provides a comprehensive overview of the pathogenesis,diagnostic methods,and treatments of epilepsy.It also elaborates on the theoretical basis,treatment modes,and effects of invasive nerve stimulation in neurotherapy,including percutaneous vagus nerve stimulation,deep brain electrical stimulation,repetitive nerve electrical stimulation,in addition to non-invasive transcranial magnetic stimulation and transcranial direct current stimulation.Numerous studies have shown that electromagnetic stimulation-mediated neuromodulation therapy can markedly improve neurological function and reduce the frequency of epileptic seizures.Additionally,many new technologies for the diagnosis and treatment of epilepsy are being explored.However,current research is mainly focused on analyzing patients’clinical manifestations and exploring relevant diagnostic and treatment methods to study the pathogenesis at a molecular level,which has led to a lack of consensus regarding the mechanisms related to the disease.
基金supported by the National Natural Science Foundation of China(No.52277055).
文摘Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency.Recently,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault diagnosis.However,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative model.This complexity results in high computational costs and limited industrial applicability.To tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault diagnosis.First,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration signals.Then,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global perspective.Finally,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and Transformer.This study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.
文摘In this article,we discuss Ye et al's recent article on the association between age at diabetes diagnosis and subsequent risk of age-related ocular diseases.The study,which utilized United Kingdom Biobank data,highlighted a strong link between early diabetes onset and major eye conditions,such as cataracts,glaucoma,agerelated macular degeneration,and vision loss,independent of glycemic control and disease duration.This finding challenges the previous belief that diabetic eye disease primarily correlates with hyperglycemia.As lifestyles evolve and the age of diabetes diagnosis decreases,understanding this relationship may reveal the complex pathogenesis underlying diabetes-related complications.This editorial summarizes potential mechanisms connecting the age of diabetes onset with four types of ocular diseases,emphasizing the significance of early diagnosis.
文摘Anorectal melanoma is a rare tumor representing less than 1% of anorectal cancers and around 0.3% of malignant melanomas. Its prognosis is particularly poor due to the early occurrence of metastases. We report the case of a 65-year-old man presenting with rectorrhagia and anal pain, initially diagnosed as hemorrhoidal disease. Subsequent proctological examination revealed an ulcerating-bourging tumor, confirmed histologically as an anorectal melanoma. After a normal extension workup, an abdominoperineal amputation was performed. Anorectal melanoma is a pathology with a poor prognosis, requiring early diagnosis to improve chances of survival.
文摘Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.
文摘Upper gastrointestinal bleeding (UGIB) refers to the bleeding caused by the digestive tract above the flexor ligament, including esophageal, gastric, duodenal, pancreatic and biliary diseases, and lesions after gastrojejunostomy. UGIB is one of the common diseases in the clinical work of gastroenterology. There are many causes that can lead to upper gastrointestinal bleeding, which are mainly divided into two categories: one is non-variceal upper gastrointestinal bleeding (NVUGIB), and the other is variceal upper gastrointestinal bleeding (VUGIB). This article reviews various causes of UGIB and the latest progress in treatment, aiming to improve the efficiency of diagnosis and treatment in future clinical work, and reduce the risk of rebleeding and mortality.
文摘Port structures constitute the main link in the maritime transport chain of coastal countries and therefore contribute to their economic development. But it should be noted that the installation of said works is not without consequences for the countries concerned. Benin, a country in the Gulf of Guinea, is no exception to this phenomenon because, due to its maritime history, it has a heritage of port structures. These structures, built on its coastline, cause a wide variety of environmental problems such as silting and erosion on either side of them. The general objective of this article is to contribute to the proper functionality of port facilities while minimizing environmental problems that may arise. It aims to provide managers with a tool allowing them to fully understand the state of their assets in order to rationalize maintenance actions. In order to achieve this objective, an assessment of the state of the structure, and then a structural diagnosis are necessary and recommendations can be established to restore the level of service of the latter. As a result, two examples were presented: the wharf of the Sèmè-Podji pipeline project and the maritime piles project of the Wasco de Gama bridge (control project), and recommendations adapted to this objective were established. The comparative analysis of the two examples, both maritime works, revealed an under-sizing at the level of the spans of the wharf bridge of the Sèmè-Podji pipeline project (spans of 7 m in length), while these spans vary on average by 45 m to 62 m for the Wasco da Gama bridge. Bringing the piles closer together at the Sèmè-Podji wharf reduces the energy of the current which promotes the accumulation of sediment. The structure no longer experiences a flow capable of setting in motion the sands accumulated since at least 2022. This element appears to be a fundamental characteristic explaining the erosion observed to the east of the structure.
文摘Context: The presence of conjoined twins is a rare occurrence during pregnancy. Today, early diagnosis is possible thanks to advances in imaging, particularly three-dimensional ultrasound, and the intervention of a trained operator. This antenatal diagnosis can be used to decide whether or not to continue the pregnancy. Cases presentation: Based on the authors’ experience, five (05) cases of conjoined twins were collected over a period of six years (01 January 2018-01 January 2023) in the maternity wards of the Angre’s Teaching Hospital (study location), whose diagnosis was sometimes unexpected in the delivery room. Among the five cases, we described three (03) thoraco-omphalopages and two (02) parapages, with a female predominance of 4/5. None were candidates for separation because they were stillborn or died on the first day of life. Conclusion: This series of cases highlights the different characteristics of conjoined twins and the poor fetal prognosis due to diagnostic difficulties and therapeutic possibilities that are practically non-existent in the African environment.
文摘Post-traumatic stress disorder is a mental disorder caused by exposure to severe traumatic life events.Currently,there are no validated biomarkers or laboratory tests that can distinguish between trauma survivors with and without post-traumatic stress disorder.In addition,the heterogeneity of clinical presentations of post-traumatic stress disorder and the overlap of symptoms with other conditions can lead to misdiagnosis and inappropriate treatment.Evidence suggests that this condition is a multisystem disorder that affects many biological systems,raising the possibility that peripheral markers of disease may be used to diagnose post-traumatic stress disorder.We performed a PubMed search for microRNAs(miRNAs)in post-traumatic stress disorder(PTSD)that could serve as diagnostic biomarkers and found 18 original research articles on studies performed with human patients and published January 2012 to December 2023.These included four studies with whole blood,seven with peripheral blood mononuclear cells,four with plasma extracellular vesicles/exosomes,and one with serum exosomes.One of these studies had also used whole plasma.Two studies were excluded as they did not involve microRNA biomarkers.Most of the studies had collected samples from adult male Veterans who had returned from deployment and been exposed to combat,and only two were from recently traumatized adult subjects.In measuring miRNA expression levels,many of the studies had used microarray miRNA analysis,miRNA Seq analysis,or NanoString panels.Only six studies had used real time polymerase chain reaction assay to determine/validate miRNA expression in PTSD subjects compared to controls.The miRNAs that were found/validated in these studies may be considered as potential candidate biomarkers for PTSD and include miR-3130-5p in whole blood;miR-193a-5p,-7113-5p,-125a,-181c,and-671-5p in peripheral blood mononuclear cells;miR-10b-5p,-203a-3p,-4488,-502-3p,-874-3p,-5100,and-7641 in plasma extracellular vesicles/exosomes;and miR-18a-3p and-7-1-5p in blood plasma.Several important limitations identified in the studies need to be taken into account in future studies.Further studies are warranted with war veterans and recently traumatized children,adolescents,and adults having PTSD and use of animal models subjected to various stressors and the effects of suppressing or overexpressing specific microRNAs.
基金funded by grants from the National Natural Science Foundation of China(Grant Nos.82171932 and 82302180)the Ministry of Science and Technology of China(Grant No.2024ZD0520002)+3 种基金the Chinese National Key Research and Development Project(Grant Nos.2021YFC2500402 and 2021YFC2500400)the National Health Commission Capacity Building and Continuing Education Center(Grant No.YXFSC2022JJSJ011)the Tianjin Key Medical Discipline(Specialty)Construction Project(Grant No.TJYXZDXK-010A)the Scientific Developing Foundation of Tianjin Education Commission(Grant No.2024KJ182).
文摘Cancer poses a serious threat to human health worldwide and is a leading cause of death1.The analysis of radiological imaging is crucial in early detection,accurate diagnosis,effective treatment planning,and ongoing monitoring of patients with cancer.However,several challenges impede the effectiveness of cancer imaging analysis in clinical practice.One difficulty is that healthcare professionals’immense clinical workloads can result in time constraints and increase pressure,thereby hindering their ability to maintain high accuracy and thoroughness in image analysis.Additionally,subjective variability among radiologists can lead to inconsistent interpretations and diagnoses.Because this variability is often influenced by personal biases,standardized assessments are often difficult to achieve.Moreover,the inherent complexity of cancer imaging necessitates extensive clinical experience;this aspect can also be a limiting factor,particularly if expertise or resources are limited.The application of artificial intelligence(AI)can alleviate these problems by enhancing the accuracy,objectivity,and efficiency of cancer imaging analysis while assisting physicians.Therefore,the advancement of AI research is crucial for achieving progress in radiology.
文摘Dear Editor,We are writing this letter to report a special missed diagnosis case of pediatric ocular trauma with intraorbital pencil core foreign body.When an eye trauma occurs,orbital foreign bodies are widespread.The most common types of foreign bodies are metal,followed by plant foreign bodies,while oil foreign bodies are rare.
基金supported by a grant from MH CZ–DRO(FNOl,00098892)。
文摘Biliary strictures are caused by both benign and malignant pathologies.Although up to 30%of biliary strictures are identified as benign,the vast majority are malignant with two major malignancies,namely pancreatic adenocarcinoma and cholangiocarcinoma(CC)[1].Accurate diagnosis and precise localization play a vital role in the prognosis and management of the disease[2].In this study we primarily focused on the diagnosis of CC.The highest incidence of CC is in northeastern Thailand,where the incidence is found to be 100/100000 in males and 50/100000 in females.In Western countries,it is approximately(0.5–2.0)/100000 individuals[3].CC is most often diagnosed between the ages of 70 and 80 years[4].The prognosis of biliary malignancies is dismal with overall five-year survival as low as 10%[5].
基金Supported by National Natural Science Foundation of China,No.82300451Research Foundation of Wuhan Union Hospital,No.2022xhyn050.
文摘Gastric cancer(GC),a multifaceted and highly aggressive malignancy,represents challenging healthcare burdens globally,with a high incidence and mortality rate.Although endoscopy,combined with histological examination,is the gold stan-dard for GC diagnosis,its high cost,invasiveness,and specialized requirements hinder widespread use for screening.With the emergence of innovative techno-logies such as advanced imaging,liquid biopsy,and breath tests,the landscape of GC diagnosis is poised for radical transformation,becoming more accessible,less invasive,and more efficient.As the non-invasive diagnostic techniques continue to advance and undergo rigorous clinical validation,they hold the promise of sig-nificantly impacting patient outcomes,ultimately leading to better treatment results and improved quality of life for patients with GC.
基金Supported by the Medical Talents of Wuhan Health and Family Planning Commission,No.2017[51](to Yu J)the Medical Talents of Wuhan Hospital of Traditional Chinese and Western Medicine(to Yu J)+1 种基金the Hubei Natural Science Foundation,No.2023AFB1091Wuhan Medical Research Project,No.WX23A36(to Yu J).
文摘BACKGROUND Cholangiocarcinoma(CCA),also known as bile duct cancer,is a devastating malignancy primarily affecting the biliary tract.AIM To assess their performance in clinical diagnosis and monitoring of CCA,plasma methylation and circulating tumor cells were detected.METHODS Plasma samples were collected from Hubei Cancer Hospital(n=156).Plasma DNA was tested to detect SHOX2,HOXA9,SEPTIN9,and RASSF1A methylation using TaqMan PCR.Circulating tumor cells(CTCs)were detected in the peripheral blood of patients using the United States Food and Drug Administration-approved cell search system before and after clinical therapy.The CCA diagnostic value was estimated using the area under the curve.The independent prognosis risk factors for patients with CCA were estimated using Cox and logistic regression analyses.RESULTS The sensitivity and specificity of the four DNA plasma methylations exhibited 64.74%sensitivity and 93.88%specificity for detecting CCA.The receiver operating characteristic curve of the combined value for CCA diagnosis in plasma was 0.828±0.032.RASSF1A plasma methylation was related to the prognosis of patients with CCA.We determined the prognostic hazard ratio for CCA using CTC count,tumor stage,methylation,and carbohydrate antigen 19-9 levels as key factors.Our overall survival nomogram achieved a C-index of 0.705(0.605-0.805).CONCLUSION SHOX2,HOXA9,SEPTIN9,and RASSF1A plasma methylation demonstrated increased sensitivity for diagnosing CCA.RASSF1A plasma methylation and CTCs were valuable predictors to assess CCA prognosis and recurrence.
文摘This editorial discusses Thompson et al's original article,which is published in the most recent edition of the World Journal of Clinical Oncology and sheds critical light on the intertwined issues of health anxiety and work loss in individuals diagnosed with serrated polyposis syndrome(SPS).SPS is rare,characterized by the development of multiple serrated colorectal polyps.This editorial provides an overview of SPS,including its pathophysiology,clinical presentation,diagnostic criteria,management strategies,and the psychosocial impact.SPS is linked to molecular alterations,which drive carcinogenesis.Colonoscopy and histological analysis are used for diagnosis.Genetic testing is also considered where there is a family history.Quality of life can be greatly impacted by the psychosocial effects of SPS,especially health anxiety.Further understanding of the molecular mechanisms and creating individualized surveillance are required.
文摘We performed a PubMed search for microRNAs in autism spectrum disorder that could serve as diagnostic biomarkers in patients and selected 17 articles published from January 2008 to December 2023,of which 4 studies were performed with whole blood,4 with blood plasma,5 with blood serum,1 with serum neural cell adhesion molecule L1-captured extracellular vesicles,1 with blood cells,and 2 with peripheral blood mononuclear cells.Most of the studies involved children and the study cohorts were largely males.Many of the studies had performed microRNA sequencing or quantitative polymerase chain reaction assays to measure microRNA expression.Only five studies had used real-time polymerase chain reaction assay to validate microRNA expression in autism spectrum disorder subjects compared to controls.The microRNAs that were validated in these studies may be considered as potential candidate biomarkers for autism spectrum disorder and include miR-500a-5p,-197-5p,-424-5p,-664a-3p,-365a-3p,-619-5p,-664a-3p,-3135a,-328-3p,and-500a-5p in blood plasma and miR-151a-3p,-181b-5p,-320a,-328,-433,-489,-572,-663a,-101-3p,-106b-5p,-19b-3p,-195-5p,and-130a-3p in blood serum of children,and miR-15b-5p and-6126 in whole blood of adults.Several important limitations were identified in the studies reviewed,and need to be taken into account in future studies.Further studies are warranted with children and adults having different levels of autism spectrum disorder severity and consideration should be given to using animal models of autism spectrum disorder to investigate the effects of suppressing or overexpressing specific microRNAs as a novel therapy.
基金Supported by Youth Start-up Fund of the Naval Medical University,No.2023QN052Basic Medical Research Project of the First Affiliated Hospital of Naval Medical University,No.2023QD16+2 种基金Simulated RCT Research Project of Shanghai Hospital Deveopment Center,No.SHDC2024CRI048Changhai Hospital Changfeng Talent PlanShanghai Public Health Key Discipline Project,No.GWVI-11.1-21.
文摘Current diagnosis of autoimmune pancreatitis(AIP)is challenging and often requires combining multiple dimensions.There is a need to explore new methods for diagnosing AIP.The development of artificial intelligence(AI)is evident,and it is believed to have potential in the clinical diagnosis of AIP.This article aims to list the current diagnostic difficulties of AIP,describe existing AI applications,and suggest directions for future AI usages in AIP diagnosis.
文摘BACKGROUND Artificial intelligence(AI)has become significantly integrated into healthcare,particularly in the diag-nosing of neurological disorders.This advancement has enabled neurologists and physicians to diagnose conditions more quickly and effectively,ultimately benefiting patients.AIM To explore the current status and key highlights of AI-related articles in diagnosing of neurological disorders.METHODS A systematic literature review was conducted in the Web of Science Core Collection database using the following strategy:TS=("Artificial Intelligence"OR"Computational Intelligence"OR"Machine Learning"OR"AI")AND TS=("Neurological disorders"OR"CNS disorder"AND"diagnosis").The search was limited to articles and reviews.Microsoft Excel 2019 and VOSviewer were utilized to identify major contributors,including authors,institutions,countries,and journals.Additionally,VOSviewer was employed to analyze and visualize current trends and hot topics through network visualization maps.RESULTS A total of 276 publications from 2000 to 2024 were retrieved.The United States,India,and China emerged as the top contributors in this field.Major institutions included Johns Hopkins University,King's College London,and Harvard Medical School.The most prolific author was U.Rajendra Acharya from the University of Southern Queensland(Australia).Among journals,IEEE Access,Scientific Reports,and Sensors were the most productive,while Frontiers in Neuroscience led in total citations.Central topics in AI-related articles on neurological disorders diagnosis included Alzheimer's disease,Parkinson's disease,dementia,epilepsy,autism,attention deficit hyperactivity disorder,and their intersections with deep learning and AI.CONCLUSION Research on AI's role in diagnosing neurological disorders is becoming widely recognized for its growing importance.AI shows promise in diagnosing various neurological disorders,yet requires further improvement and extensive future research.
