Objective To observe the value of self-supervised deep learning artificial intelligence(AI)noise reduction technology based on the nearest adjacent layer applicated in ultra-low dose CT(ULDCT)for urinary calculi.Methods Eighty-eight urinary calculi patients were prospectively enrolled.Low dose CT(LDCT)and ULDCT scanning were performed,and the effective dose(ED)of each scanning protocol were calculated.The patients were then randomly divided into training set(n=75)and test set(n=13),and a self-supervised deep learning AI noise reduction system based on the nearest adjacent layer constructed with ULDCT images in training set was used for reducing noise of ULDCT images in test set.In test set,the quality of ULDCT images before and after AI noise reduction were compared with LDCT images,i.e.Blind/Referenceless Image Spatial Quality Evaluator(BRISQUE)scores,image noise(SDROI)and signal-to-noise ratio(SNR).Results The tube current,the volume CT dose index and the dose length product of abdominal ULDCT scanning protocol were all lower compared with those of LDCT scanning protocol(all P＜0.05),with a decrease of ED for approximately 82.66％.For 13 patients with urinary calculi in test set,BRISQUE score showed that the quality level of ULDCT images before AI noise reduction reached 54.42％level but raised to 95.76％level of LDCT images after AI noise reduction.Both ULDCT images after AI noise reduction and LDCT images had lower SDROI and higher SNR than ULDCT images before AI noise reduction(all adjusted P＜0.05),whereas no significant difference was found between the former two(both adjusted P＞0.05).Conclusion Self-supervised learning AI noise reduction technology based on the nearest adjacent layer could effectively reduce noise and improve image quality of urinary calculi ULDCT images,being conducive for clinical application of ULDCT.

Objective:To review and analyze the clinical diagnosis and treatment of renal Ewing's sar-coma with venous tumor embolus,to follow up the survival and prognosis of the patients,and to provide help for the diagnosis and treatment of the disease.Methods:Clinical data(including general data,sur-gical data and postoperative pathological data)of patients diagnosed with renal Ewing's sarcoma with ve-nous tumor embolus in Peking University Third Hospital from June 2016 to June 2022 were collected,and the prognosis of the patients was followed up to analyze the influence of diagnosis and treatment process on the prognosis of the disease.Results:There were 6 patients,including 1 male and 5 females.There were 4 cases of left renal tumor and 2 cases of right renal tumor.The median age at diagnosis was 28 years(16-52 years).The imaging findings were all exogenous tumors with internal necrotic tissue and hemorrhage.The mean maximum tumor diameter was 12.6 cm,and the mean tumor thrombus length was 7.8 cm.Four patients underwent open surgery and 2 patients underwent laparoscopic surgery.The post-operative pathological results were renal Ewing sarcoma.Immunohistochemical results showed 3 cases of CD99(+),2 cases of FLI-1(+),and 1 case of CD99,FLI-1(-).3 patients received chemothera-py(cyclophosphamide,doxorubicin,vincristine/ifosfamide,etoposide),1 case received chemotherapy combined with radiotherapy,and 2 cases received no adjuvant therapy.The mean overall survival(OS)of the 6 patients was 37 months,and the mean OS of the 4 patients(47 months)who received chemo-therapy was significantly higher than that of the 2 patients(16 months)who did not receive chemotherapy(P=0.031).Conclusion:Renal Ewing's sarcoma with venous tumor embolus is rare in clinic,and it is common in young female patients.The operation is difficult and the prognosis is poor.Surgical resection,adjuvant radiotherapy and chemotherapy can improve the overall survival rate of the patients.

Recently,inductively coupled plasma mass spectrometry(ICP-MS)has shown great potential in the quantitative analysis of biomolecules due to its high sensitivity,high accuracy,anti-interference ability and multi-element detection capability.Elemental tags enable specific labeling of target biomolecules with element-reporter groups,playing a critical role in the performance of bioanalysis using ICP-MS.Antibodies are highly specific to antigens on cell surfaces and are one of the most commonly used targeted delivery vehicles.Traditional random chemical coupling methods are difficult to control the coupling sites and loading numbers of element reporters,which lead to heterogeneity of antibody conjugates,affecting the specific recognition and binding ability of antibodies and antigens,and thus reducing the targeting ability and quantitative accuracy.To solve these issues,site-specific coupling of antibodies with element reporter was studied in this work.By using peptide-mediated affinity labeling technology,a short chain DNA was specifically labeled to immunoglobulin G(IgG)antibody K248,and then DNA base complementary pairing was used to realize accurate assembly of monoclonal antibodies and Eu-modified phage MS2 capsid,resulting in the preparation of highly sensitive and selective element tags.This method overcame the heterogeneity problem of element tags caused by random coupling,and ensured the targeting specificity,affinity and signal amplification ability of element tags.The element tag prepared here showed a specificity to bind/label with epidermal growth factor receptor(EGFR)biomarker on the surface of cancer cells,realizing single cancer cell analysis using ICP-MS.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.

Objective: To investigate the misdiagnosis of area postrema syndrome (APS) manifesting as intractable nausea, vomiting and hiccups in neuromyelitis optic spectrum disease (NMOSD) and reduce the risk of misdiagnosis. Methods: We retrospectively analyzed data from NMOSD patients attending the Department of Neurology at the First Medical Center of PLA General Hospital between January 2019 and July 2021. SPSS25.0 was then used to analyze the manifestations, misdiagnosis, and mistreatment of APS. Results: A total of 207 patients with NMOSD were included, including 21 males and 186 females. The mean age of onset was 39±15 years (range: 5-72 years). The proportion of patients who were positive for serum aquaporin 4 antibody was 82.6% (171/207). In total, 35.7% (74/207) of the NMOSD patients experienced APS during the disease course; of these patients, 70.3% (52/74) had APS as the first symptom and 29.7% (22/74) had APS as a secondary symptom. The misdiagnosis rates for these conditions were 90.4% (47/52) and 50.0% (11/22), respectively. As the first symptom, 19.2% (10/52) of patients during APS presented only with intractable nausea, vomiting and hiccups; 80.8% (42/52) of patients experienced other neurological symptoms. The Departments of Gastroenterology and General Medicine were the departments that most frequently made the first diagnosis of APS, accounting for 54.1% and 17.6% of patients, respectively. The most common misdiagnoses related to diseases of the digestive system and the median duration of misdiagnosis was 37 days. Conclusions: APS is a common symptom of NMOSD and is associated with a high rate of misdiagnosis. Other concomitant symptoms often occur with APS. Gaining an increased awareness of this disease/syndrome, obtaining a detailed patient history, and performing physical examinations are essential if we are to reduce and avoid misdiagnosis.
Male ; Female ; Humans ; Child, Preschool ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Neuromyelitis Optica/diagnosis* ; Area Postrema ; Retrospective Studies ; Hiccup/complications* ; Vomiting/etiology* ; Nausea/etiology* ; Inflammation ; Syndrome ; Autoantibodies ; Diagnostic Errors ; Aquaporin 4

Blau syndrome is a rare genetic disorder characterized by the a mix of granulomatous arthritis, uveitis, and dermatitis. Patients typically manifest multisystem involvement, including ocular, skin, and skeletal abnormalities. Blau syndrome is extremely rare, with a global incidence of less than one in a million among children. In this multidisciplinary consultation, we present a case of a 21-year-old young female patient having multisystemic involvement since early childhood. She was presented with multiple joint swelling, skin lesions, increased eye discharge, and accompanied by hypertension and arterial abnormalities, and received a diagnosis of uveitis. The patient had been receiving steroid treatment since the age of 6 and has tried various medications, with some improvement in joint swelling and ocular symptoms. Through this rare disease multidisciplinary consultation, we aim to provide guidance in the molecular diagnosis of the patient, multisystem assessment, and the selection and formulation of treatment plans. Additionally, we hope that by reporting this case, clinical physicians can gain a better understanding of the diagnosis and comprehensive treatment strategies for Blau syndrome, thereby improving the management and treatment of rare diseases.

Objective: To characterize the prevalence and genomic epidemiology of Vibrio parahaemolyticus from acute diarrheal patients in Shenzhen City from 2013 to 2021. Methods: Based on the Shenzhen Infectious Diarrhea Surveillance System, acute diarrheal patients were actively monitored in sentinel hospitals from 2013 to 2021. Whole-genome sequencing (WGS) of Vibrio parahaemolyticus isolates was performed, and the genomic population structure, serotypes, virulence genes and multilocus sequence typing were analyzed. Outbreak clusters from 2019 to 2021 were explored based on single-nucleotide polymorphism analysis. Results: A total of 48 623 acute diarrhea cases were monitored in 15 sentinel hospitals from 2013 to 2021, and 1 135 Vibrio parahaemolyticus strains were isolated, with a positive isolation rate of 2.3%. Qualified whole-genome sequencing data of 852 isolates were obtained. Eighty-nine serotypes, 21 known ST types and 5 new ST types were identified by sequence analysis, and 93.2% of strains were detected with toxin profile of tdh+trh-. 8 clonal groups (CGs) were captured, with CG3 as the absolute predominance, followed by CG189. The CG3 group was dominated by O3:K6 serotype and ST3 sequence type, while CG189 group was mainly O4:KUT, O4:K8 serotypes and ST189a and ST189 type. A total of 13 clusters were identified, containing 154 cases. About 30 outbreak clusters with 29 outbreak clusters caused by CG3 strains from 2019 to 2021. Conclusion: Vibrio parahaemolyticus is a major pathogen of acute infectious diarrhea in Shenzhen City, with diverse population structures. CG3 and CG189 have been prevalent and predominant in Shenzhen City for a long time. Scattered outbreaks and persistent sources of contamination ignored by traditional methods could be captured by WGS analysis. Tracing the source of epidemic clone groups and taking precise prevention and control measures are expected to significantly reduce the burden of diarrhea diseases caused by Vibrio parahaemolyticus infection in Shenzhen City.
Humans ; Vibrio parahaemolyticus/genetics* ; Diarrhea/epidemiology* ; Foodborne Diseases/epidemiology* ; Serogroup ; Genomics ; Dysentery ; Vibrio Infections/epidemiology* ; Serotyping

Allergen component-resolved diagnosis (CRD) is an emerging molecular diagnostic technology, which can further clarify the protein profile of allergen components in allergic patients, achieve accurate detection of allergens, and have great significance and value for the precise prevention and treatment of allergic diseases. In this article, the CRD technology and its research progress in respiratory allergic diseases are introduced, and the importance of CRD in the evaluation, prevention and treatment of respiratory allergic diseases are discussed.
Humans ; Allergens ; Hypersensitivity ; Respiratory Tract Diseases

Allergen component-resolved diagnosis (CRD) is an emerging molecular diagnostic technology, which can further clarify the protein profile of allergen components in allergic patients, achieve accurate detection of allergens, and have great significance and value for the precise prevention and treatment of allergic diseases. In this article, the CRD technology and its research progress in respiratory allergic diseases are introduced, and the importance of CRD in the evaluation, prevention and treatment of respiratory allergic diseases are discussed.
Humans ; Allergens ; Hypersensitivity ; Respiratory Tract Diseases