Advances In Diagnostic Technology Research Articles

Current genetic models for studying congenital heart diseases: Advantages and disadvantages.

Congenital heart disease (CHD) encompasses a diverse range of structural and functional anomalies that affect the heart and the major blood vessels. Epidemiological studies have documented a global increase in CHD prevalence, which can be attributed to advancements in diagnostic technologies. Extensive research has identified a plethora of CHD-related genes, providing insights into the biochemical pathways and molecular mechanisms underlying this pathological state. In this review, we discuss the advantages and challenges of various In vitro and in vivo CHD models, including primates, canines, Xenopus frogs, rabbits, chicks, mice, Drosophila, zebrafish, and induced pluripotent stem cells (iPSCs). Primates are closely related to humans but are rare and expensive. Canine models are costly but structurally comparable to humans. Xenopus frogs are advantageous because of their generation of many embryos, ease of genetic modification, and cardiac similarity. Rabbits mimic human physiology but are challenging to genetically control. Chicks are inexpensive and simple to handle; however, cardiac events can vary among humans. Mice differ physiologically, while being evolutionarily close and well-resourced. Drosophila has genes similar to those of humans but different heart structures. Zebrafish have several advantages, including high gene conservation in humans and physiological cardiac similarities but limitations in cross-reactivity with mammalian antibodies, gene duplication, and limited embryonic stem cells for reverse genetic methods. iPSCs have the potential for gene editing, but face challenges in terms of 2D structure and genomic stability. CRISPR-Cas9 allows for genetic correction but requires high technical skills and resources. These models have provided valuable knowledge regarding cardiac development, disease simulation, and the verification of genetic factors. This review highlights the distinct features of various models with respect to their biological characteristics, vulnerability to developing specific heart diseases, approaches employed to induce particular conditions, and the comparability of these species to humans. Therefore, the selection of appropriate models is based on research objectives, ultimately leading to an enhanced comprehension of disease pathology and therapy.

Advances in Cancer Research: Current and Future Diagnostic and Therapeutic Strategies.

Cancers of unknown primary (CUP) exhibit significant cellular heterogeneity and malignancy, which poses significant challenges for diagnosis and treatment. Recent years have seen deeper insights into the imaging, pathology, and genetic characteristics of CUP, driven by interdisciplinary collaboration and the evolution of diagnostic and therapeutic strategies. However, due to their insidious onset, lack of evidence-based medicine, and limited clinical understanding, diagnosing and treating CUP remain a significant challenge. To inspire more creative and fantastic research, herein, we report and highlight recent advances in the diagnosis and therapeutic strategies of CUP. Specifically, we discuss advanced diagnostic technologies, including 12-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) or 68Ga-FAPI (fibroblast activation protein inhibitor) PET/CT, liquid biopsy, molecular diagnostics, self-assembling nanotechnology, and artificial intelligence (AI). In particular, the discussion will extend to the effective treatment techniques currently available, such as targeted therapies, immunotherapies, and bio-nanotechnology-based therapeutics. Finally, a novel perspective on the challenges and directions for future CUP diagnostic and therapeutic strategies is discussed.

Cross-institutional provision of medical care to social emergency casualties

Introduction. Current advances in war-waging strategies have imposed new demands on public medical care and civil defense forces amid social emergency settings. Elimination of medical and sanitary consequences of emergencies compels to explore new horizons in order to develop advanced approaches and strategies of medical care provided to victims at all stages of medical evacuation among affected population, emergency rescue personnel of various departmental affiliations, including military personnel of military rescue formations.The objective is to share the experience of cross-departmental medical forces providing medical care to victims amid disrupted and non-functional healthcare services due to biological and social emergency of regional scale.Results and analysis. The paper describes experience of medical aid efforts in the newly incorporated regions of Russia, suggesting a cross-institutional strategy of dedicated medical care provision to the population and military rescue personnel amid social emergency settings.Conclusion. Deployment of cross-institutional medical forces allows to reinforce the capacities of regular medical organizations in emergency areas, whereas advanced diagnostic, treatment and medical evacuation technologies allow to stabilize the condition of victims to carry out evacuation “as intended” within most optimal timeframes.

Programmable Photoswitchable Microcapsules Enable Precise and Tailored Drug Delivery from Microfluidics.

The development of precision personalized medicine poses a significant need for the next generation of advanced diagnostic and therapeutic technologies, and one of the key challenges is the development of highly time-, space-, and dose-controllable drug delivery systems that respond to the complex physiopathology of patient populations. In response to this challenge, an increasing number of stimuli-responsive smart materials are integrated into biomaterial systems for precise targeted drug delivery. Among them, responsive microcapsules prepared by droplet microfluidics have received much attention. In this study, we present a UV-visible light cycling mediated photoswitchable microcapsule (PMC) with dynamic permeability-switching capability for precise and tailored drug release. The PMCs were fabricated using a programmable pulsed aerodynamic printing (PPAP) technique, encapsulating an aqueous core containing magnetic nanoparticles and the drug doxorubicin (DOX) within a poly(lactic-co-glycolic acid) (PLGA) composite shell modified by PEG-b-PSPA. Selective irradiation of PMCs with ultraviolet (UV) or visible light (Vis) allows for high-precision time-, space-, and dose-controlled release of the therapeutic agent. An experimentally validated theoretical model was developed to describe the drug release pattern, holding promise for future customized programmable drug release applications. The therapeutic efficacy and value of patternable cancer cell treatment activated by UV radiation is demonstrated by our experimental results. After in vitro transcatheter arterial chemoembolization (TACE), PMCs can be removed by external magnetic fields to mitigate potential side effects. Our findings demonstrate that PMCs have the potential to integrate embolization, on-demand drug delivery, magnetic actuation, and imaging properties, highlighting their immense potential for tailored drug delivery and embolic therapy.

Clinical pathway in Chinese county for lung cancer diagnosis and treatment (2023 edition)

Lung cancer (LC) is the leading cause of death among patients with cancer both in worldwide and China. China accounts for 11.4% of the total number of cancer cases and 18.0% of the total number of cancer deaths in the world. Standardizing the diagnosis and treatment of LC is a key measure to improve the survival rate of LC patients and reduce the mortality rate. However, county hospitals generally face the problem of inaccessibility to advanced diagnostic and treatment technologies. Therefore, when developing quality control standards and clinical diagnosis and treatment specifications, it is necessary to combine the actual situation of county hospitals and formulate specific recommendations. The recommendations of treatment measures also need to consider the approval status of indications and whether it is included in the National Reimbursement Drug List (NRDL), to ensure the access to medicines. In order to solve the above problems, based on existing guidelines at home and abroad and the clinical work characteristics of county hospitals, the first clinical pathway in Chinese county for LC diagnosis and treatment (2023 edition) was compiled. This pathway elaborated on the imaging diagnosis, pathological diagnosis, molecular testing, and precision medicine based on histological-pathological types, tumor-node-metastasis (TNM) classification, and molecular classification, developed different diagnosis and treatment processes for different types of LC patients. Simultaneously, according to the actual work situation of county hospitals, the diagnosis and treatment recommendations in clinical scenarios are divided into basic strategies and optional strategies for elaboration. The basic strategies are the standards that county hospitals must meet, while the optional strategies provide more choices for hospitals, which are convenient for county doctors to put into clinical practice. All the recommended diagnostic and treatment plans strictly refer to existing guidelines and consensus, ensuring the scientificity.

Are We Losing the Final Fight against Cancer?

Despite our increasing understanding of the biology and evolution of the cancer process, it is indisputable that the natural process of cancer creation has become increasingly difficult to cure, as more mutations are found with age. It is significantly more difficult to challenge the curative method when there is heterogeneity within the tumor, as it hampers clinical and genetic categorization. With advances in diagnostic technologies and screening leading to progressive tumor shrinkage, it becomes more difficult over time to evaluate the effects of treatment on overall survival. New treatments are often authorized based on early evidence, such as tumor response; disease-free, progression-free, meta-static-free, and event-free survival; and, less frequently, based on clinical endpoints, such as overall survival or quality of life, when standard guidelines are not available to approve pharmaceuticals. These clearances usually happen quite rapidly. Although approval takes longer, relative survival demonstrates the genuine worth of a novel medication. Pressure is being applied by pharmaceutical companies and patient groups to approve "new" treatments based on one of the above-listed measures, with results that are frequently insignificantly beneficial and frequently have no impact on quality of life.

Chronic thromboembolic pulmonary hypertension: the diagnostic assessment.

Chronic Thromboembolic Pulmonary Hypertension (CTEPH) presents a significant diagnostic challenge due to its complex and often nonspecific clinical manifestations. This review outlines a comprehensive approach to the diagnostic assessment of CTEPH, emphasizing the importance of a high index of suspicion in patients with unexplained dyspnea or persistent symptoms post-acute pulmonary embolism. We discuss the pivotal role of multimodal imaging, including echocardiography, ventilation/perfusion scans, CT pulmonary angiography, and magnetic resonance imaging, in the identification and confirmation of CTEPH. Furthermore, the review highlights the essential function of right heart catheterization in validating the hemodynamic parameters indicative of CTEPH, establishing its definitive diagnosis. Advances in diagnostic technologies and the integration of a multidisciplinary approach are critical for the timely and accurate diagnosis of CTEPH, facilitating early therapeutic intervention and improving patient outcomes. This manuscript aims to equip clinicians with the knowledge and tools necessary for the efficient diagnostic workflow of CTEPH, promoting awareness and understanding of this potentially treatable cause of pulmonary hypertension.

Prevalence of Atrial Fibrillation in Semiurban Nepal: Result From a Community-Based Cross-Sectional Screening.

Background: Atrial fibrillation (AF) is a common morbid arrhythmia that can cause thromboembolic events such as stroke. Despite advancements in diagnostic technologies, a significant number of AF patients may remain undetected and undiagnosed, and these asymptomatic patients possess sufficient risk of cardioembolic stroke. Identifying such patients through appropriate screening techniques and timely initiation of systemic anticoagulation therapy is essential to prevent such life-threatening complications. Objectives: The objectives of this study encompass screening of AF among residents of the Dhulikhel Municipality and identifying its prevalence, along with evaluation of stroke risk and use of antithrombotic therapy in patients confirmed with AF. Methods: All residents of four wards of Dhulikhel Municipality, aged 50 years and above (n = 2048), underwent one-time electrocardiogram (ECG) screening using a portable 12-lead ECG machine. The cardiologist checked the cardiogram, and suspected AF cases were referred to the hospital for further evaluation and appropriate management. They were followed up to find out information on disease confirmation and management. Results: Out of 2048 participants, AF was detected in 16 participants, resulting in an overall prevalence of 0.78% (CI 0.4%-1.3%). The prevalence of AF was highest (2.98%) in population aged 80 years and above. Among individuals with AF, the median age was 71.5 (66.3-79.5) years, 50.0% were male and 75.0% had high stroke risk as indicated by a CHA2DS2-VASc score ≥ 2. Among these patients, only 41.66% were treated with oral anticoagulants (OACs), while 58.34% were treated either with single or dual antiplatelet therapy (DAPT). Conclusion: This study provided important insight into the prevalence of AF at the community level. Many AF patients were at high risk of stroke, but the OAC use was less than 50%. Screening of AF needs to be carried out on a larger scale in Nepal for early detection and timely management of the disease.

Recent advances and challenges in plant viral diagnostics.

Accurate and timely diagnosis of plant viral infections plays a key role in effective disease control and maintaining agricultural productivity. Recent advances in the diagnosis of plant viruses have significantly expanded our ability to detect and monitor viral pathogens in agricultural crops. This review discusses the latest advances in diagnostic technologies, including both traditional methods and the latest innovations. Conventional methods such as enzyme-linked immunosorbent assay and DNA amplification-based assays remain widely used due to their reliability and accuracy. However, diagnostics such as next-generation sequencing and CRISPR-based detection offer faster, more sensitive and specific virus detection. The review highlights the main advantages and limitations of detection systems used in plant viral diagnostics including conventional methods, biosensor technologies and advanced sequence-based techniques. In addition, it also discusses the effectiveness of commercially available diagnostic tools and challenges facing modern diagnostic techniques as well as future directions for improving informed disease management strategies. Understanding the main features of available diagnostic methodologies would enable stakeholders to choose optimal management strategies against viral threats and ensure global food security.

Cytomorphological Patterns of AFB Positive Tubercular Lymphadenitis: A Cross-sectional Study

Introduction: Tuberculosis (TB) remains a global threat despite advancements in diagnostic technologies and treatment options. Tubercular lymphadenitis is the most common presentation of Extra Pulmonary Tuberculosis (EPTB) in developing countries, accounting for approximately 30-52% of cases. Fine Needle Aspiration Cytology (FNAC) plays a crucial role in the cost- effective and efficient outpatient diagnosis of tubercular lymphadenitis. Understanding the different cytomorphological patterns and Acid Fast Bacilli (AFB) density in tubercular lymphadenitis aids in early diagnosis, management, and reducing morbidity and mortality. Aim: To analyse the various cytomorphological patterns observed in tubercular lymphadenitis, along with AFB density. Materials and Methods: The present cross-sectional cytomorphological study study was conducted between September and October 2021. Data from September 2020 to August 2021 were collected from the records of Shanthabai Devarao Shivaram(SDS) Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, a tertiary care hospital in Bengaluru, Karnataka, India. Out of a total of 128 patients with lymphadenopathy who underwent FNAC, four cases were excluded due to failed aspiration. The remaining 124 cases were available for analysis. Smears that exhibited features suggestive of tuberculosis were selected and categorised based on cytomorphological patterns into the following groups: Pattern-1 (Exudative), Pattern-2 (Epithelioid granuloma without necrosis), Pattern-3 (Epithelioid granuloma with necrosis), and Pattern-4 (Predominantly Necrosis without epithelioid granuloma). Ziehl-Neelsen (ZN) stained AFB positive smears were further categorised into four groups based on mycobacterial load. The categories included scant (1-9 AFB in 100 fields), 1+ (10-99 AFB in 100 fields), 2+ (1-10 AFB per field), and 3+ (>10 AFB per field). Higher numbers indicated greater infectivity. Statistical analysis was performed using the Chi-square test. A probability level of less than 0.05 (p<0.05) was considered statistically significant. Results: Out of the 124 cases studied, 81 (65.32%) were females and 43 (34.68%) were males, with a female preponderance (1.9:1). The overall prevalence of tubercular lymphadenopathy was 89 cases (71.77%), with Pattern 4 (Acellular necrosis without granuloma) being the most common cytomorphological pattern 25 cases (28.09%) followed closely by Pattern-2 (Epithelioid cell granuloma without necrosis) 23 cases (25.84%). AFB positivity was observed in 57 cases (64.04%). Pattern-1 (Exudative pattern) showed 100% AFB positivity (21 out of 21 cases), while Pattern 4 (Predominantly necrosis without epithelioid granuloma) demonstrated 92% AFB positivity (23 out of 25 cases). Conclusion: Understanding the various cytomorphological patterns in tubercular lymphadenitis is crucial for its diagnosis. Additionally, identifying AFB positivity, acid-fast bacilli distribution, and Bacterial Index (BI) in various patterns aids in planning early treatment and ensuring a favourable prognosis. FNAC serves as an easy, inexpensive, and quick procedure that can help avoid unnecessary surgical intervention or biopsy in the diagnosis of tubercular lymphadenitis.

Problems in Veterinary Pathology: A Focus on Diagnosis

Veterinary pathology is a critical field in veterinary medicine, necessary for the diagnosis of diseases in animals. However, it is faced with numerous challenges that impact the accuracy and efficiency of diagnoses. This manuscript explores into the multifaceted issues within this field, and emphasised on diagnostic challenges. Key areas of concern include the complexity of differentiating between similar pathological conditions, the limitations of current diagnostic tools and techniques, and the variability in the manifestation of diseases across different species. Furthermore, the manuscript highlights the shortage of specialised pathologists, which exacerbates diagnostic delays and errors. Advanced diagnostic technologies, such as molecular pathology and digital imaging, are explored for their potential to enhance diagnostic precision, yet their high cost and limited accessibility present significant barriers. The integration of artificial intelligence and machine learning in veterinary diagnostics is also discussed as a promising avenue to overcome some of these obstacles. Case studies illustrating common diagnostic pitfalls and their consequences on animal health are provided, underscoring the need for continuous education and training in this rapidly evolving field. In conclusion, there is need for a concerted effort to standardise diagnostic procedures and improve collaboration among veterinary pathologists, clinicians, and researchers. By addressing these challenges, the veterinary pathology community can improve diagnostic accuracy, ultimately enhancing animal health outcomes.

Solving an Unmet Need: Effective, Inexpensive Diagnostics for Resource-Limited Settings.

The Most Advanced diagnostic technologies may be amazing, but they often do not make it to resource-limited settings, including those places where particularly dangerous pathogens are more prevalent, crowded conditions make outbreaks more likely, or medical facilities are less available.

A Rare Case of Radicular Cyst in the Maxillary Sinus Masquerading as Mucous Retention Cyst

Abstract Cysts are pathological cavities lined by the epithelium that contains fluid or semifluid material. The term “odontogenic cyst” refers to the cyst related to the teeth. One of the most common odontogenic cysts, the periapical cyst, also known as the radicular cyst, is linked to a dead or nonvital tooth. Most often, the apices of the affected nonvital teeth serve as the epicenter of these cysts, although they can also be discovered on the lateral aspects of the roots in connection with lateral accessory root canals. There is something provocative about them. Most radicular cysts are small, but on rare occasions, they may enlarge to the point where they press against the maxillary sinus. In this instance, you can distinguish between pathology coming from the maxillary sinus itself and pathology with an odontogenic origin that is causing the sinus to be displaced by performing a comprehensive examination in conjunction with computed tomography (CT) imaging. This article highlights the use of advanced 3D diagnostic technologies like CT that details the care of a rare case of a huge radicular cyst involving the maxillary sinus in a 50-year-old female requiring surgical intervention.

Emerging Additive Manufacturing Methods for Wearable Sensors: Opportunities to Expand Access to Personalized Health Monitoring

AbstractPersistent disparities exist in access to state‐of‐the‐art healthcare disproportionately affecting underserved and vulnerable populations. Advances in wearable sensors enabled by additive manufacturing (AM) offer new opportunities to address such disparities and enhance equitable access advanced diagnostic technologies. Additive manufacturing provides a pathway to rapidly prototype bespoke, multifunctional wearable sensors thereby circumventing existing barriers to innovation for resource‐limited settings imposed by the need for specialized facilities, technical expertise, and capital‐intensive processes. This review examines recent progress in the additive manufacture of wearable platforms for physiological health monitoring. Supported by an initial overview of relevant techniques, representative examples of 3D printed wearable sensors highlight the potential for measuring clinically‐relevant biophysical and biochemical signals of interest. The review concludes with a discussion of the promise and utility of additive manufacturing for wearable sensors, emphasizing opportunities for expanding access to vital healthcare technology and addressing critical health disparities.

Hybrid use of Raman spectroscopy and artificial neural networks to discriminate Mycobacterium bovis BCG and other Mycobacteriales

Even in the face of the COVID-19 pandemic, Tuberculosis (TB) continues to be a major public health problem and the 2nd biggest infectious cause of death worldwide. There is, therefore, an urgent need to develop effective TB diagnostic methods, which are cheap, portable, sensitive and specific. Raman spectroscopy is a potential spectroscopic technique for this purpose, however, so far, research efforts have focused primarily on the characterisation of Mycobacterium tuberculosis and other Mycobacteria, neglecting bacteria within the microbiome and thus, failing to consider the bigger picture. It is paramount to characterise relevant Mycobacteriales and develop suitable analytical tools to discriminate them from each other. Herein, through the combined use of Raman spectroscopy and the self-optimising Kohonen index network and further multivariate tools, we have successfully undertaken the spectral analysis of Mycobacterium bovis BCG, Corynebacterium glutamicum and Rhodoccocus erythropolis. This has led to development of a useful tool set, which can readily discern spectral differences between these three closely related bacteria as well as generate a unique spectral barcode for each species. Further optimisation and refinement of the developed method will enable its application to other bacteria inhabiting the microbiome and ultimately lead to advanced diagnostic technologies, which can save many lives.

A Case Study on the Implementation of Advanced Diagnostic Technologies in Healthcare Facilities Across Sub-Saharan Africa

This research explores the impact of advanced diagnostic technologies on healthcare delivery in Sub-Saharan Africa. Through case studies and evaluations, the study examines successful initiatives in promoting technologies such as telemedicine and point-of-care testing. The research concludes that these technologies have improved accessibility, enhanced the quality of care, and positively impacted patient outcomes. Recommendations for future initiatives include strategic partnerships, capacity building, infrastructure development, patient education, regulatory frameworks, research and development, financial support, and continuous monitoring and evaluation.

From Bedside to Diagnosis: The Role of Ocular Fundus in Systemic Infections

In this comprehensive review, we delve into the significance of the ocular fundus examination in diagnosing and managing systemic infections at the bedside. While the utilization of advanced ophthalmological diagnostic technologies can present challenges in bedside care, especially for hospitalized patients confined to their beds or during infection outbreaks, the ocular fundus examination often emerges as an essential, and sometimes the only practical, diagnostic tool. Recent discussions have highlighted that the role of an ocular fundus examination might not always be advocated as a routine diagnostic procedure. With this context, we introduce a decision tree tailored for assessing the ocular fundus in inpatients with systemic infections. We also present an overview of systemic infections that impact the eye and elucidate key signs detectable through a bedside ocular fundus examination. Targeted primarily at non-ophthalmology clinicians, this review seeks to offer a comprehensive insight into a multifaceted approach and the enhancement of patient clinical outcomes.

Survey based Study on Levels of Radiation Safety Awareness among Non-Radiology Staff

Abstract: Background: The recent years have witnessed a notable surge in the utilization of Ionizing Radiation, primarily driven by advancements in diagnostic technology within the Radiology field. However, it's crucial to acknowledge that exposure to such radiation poses significant risks to both healthcare professionals and patients. Ionizing radiation comes with various disadvantages and potential harmful effects, the severity of which depends on the dose and duration of exposure. Recent reports have underscored the imperative need to enhance our understanding of ionizing radiation and its associated risks. Methods: A cross-sectional questionnaire survey was carried out within the Swami Vivekanand Group of Institutes. A total of 101 participants, excluding those from the Radiology and Operation Theatre departments, completed a questionnaire consisting of 15 multiple-choice questions. There were no age restrictions for participation, and the identities of the participants remained anonymous. The only eligibility criterion was that participants should not be affiliated with the Radiology and Operation Theatre departments. Each participant was provided with a self-administered questionnaire, and over a span of 45 days, their knowledge about radiation safety.

The diagnosis of tuberculous meningitis: advancements in new technologies and machine learning algorithms.

Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting vulnerable populations such as infants and those with untreated HIV. Given the diagnostic intricacies of TBM, there's a pressing need for rapid and reliable diagnostic tools. This review scrutinizes the efficacy of up-and-coming technologies like machine learning in transforming TBM diagnostics and management. Advanced diagnostic technologies like targeted gene sequencing, real-time polymerase chain reaction (RT-PCR), miRNA assays, and metagenomic next-generation sequencing (mNGS) offer promising avenues for early TBM detection. The capabilities of these technologies are further augmented when paired with mass spectrometry, metabolomics, and proteomics, enriching the pool of disease-specific biomarkers. Machine learning algorithms, adept at sifting through voluminous datasets like medical imaging, genomic profiles, and patient histories, are increasingly revealing nuanced disease pathways, thereby elevating diagnostic accuracy and guiding treatment strategies. While these burgeoning technologies offer hope for more precise TBM diagnosis, hurdles remain in terms of their clinical implementation. Future endeavors should zero in on the validation of these tools through prospective studies, critically evaluating their limitations, and outlining protocols for seamless incorporation into established healthcare frameworks. Through this review, we aim to present an exhaustive snapshot of emerging diagnostic modalities in TBM, the current standing of machine learning in meningitis diagnostics, and the challenges and future prospects of converging these domains.

Prevalence of hepatolenticular degeneration in different countries

Introduction. Despite modern advances in diagnostic technologies, the problem of Wilson (WD) disease prevalence remains relevant in the world; clinical and scientific interest in epidemiological studies varies in the Russian Federation and in different countries.The aim. To study the prevalence of WD in the population of the Russian Federation and foreign countries at the present stage.Materials and methods. The paper presents an analysis of the results of domestic and foreign epidemiological studies of WD published in the eLibrary, Google Scholar, PubMed, Springer, Scopus, Elsevier, Oxford Press, Clinical Case, Cochrane, Science Direct databases from January 01, 2018 to June 01, 2023 year.Results. In total, 14 epidemiological studies were analyzed. In the countries of North and South America, the prevalence of WD is from 4.1 per 100,000, up to 6.4 per 100,000 and in European countries from 1.44 per 100,000 to 9.0 per 100,000, in Asian countries – from 1.793 per 100,000 to 4.81 per 100,000.Conclusion. Results of epidemiological studies prevalence of WD depended on design and methodology: with using the method of genetic screening of the population for WD, the prevalence rates were much higher and reached 40 per 100,000 in Europe, 19.6 in Asia due to detection of early stages of disease development (asymptomatic forms).