EN · Year 2024 · Issue 4
NEW BIOMARKERS FOR DIAGNOSTICS OF ORAL DISEASES: LITERATURE REVIEW
B.Zh. NYSANOVA, R.I. KULMANBETOV, A.B. KAMETOVA, T.B. RUZUDDINOV, A.D. UTEPBERGENOV, K.O. KARKABAEVA, M.B. TLESHEV, N. TAUPYK, M.G. NOGAEVA, T.M. SALIEV
Views: 133
Show full abstract
Oral diseases such as periodontal disease, dental caries, and oral cancer are significant public health problems that affect not only oral health but also the entire body. Traditional diagnostic methods often detect these diseases only at late stages, which limits treatment options and outcomes. The advent of biomarkers, biological molecules found in biological fluids such as saliva and gingival crevicular fluid (GCF), offers promising opportunities for early non- invasive diagnosis, prognosis, and personalized treatment. This review examines the role of biomarkers in the diagnosis of oral diseases, focusing on their ability to detect pathologies at early stages. Salivary biomarkers such as proline-rich proteins (PRPs) and microRNAs (miRNAs) have already shown promise in identifying the risk of dental caries and early oral squamous cell carcinoma (OSCC). GCF biomarkers such as RANKL/OPG ratio and cytokines enable clinicians to monitor periodontal disease progression and customize treatment plans. The integration of high-throughput technologies and artificial intelligence in biomarker research further enhances diagnostic accuracy and personalized care. The aim of this review is to analyse and discuss in detail the use of modern biomarkers of oral diseases. Particular attention is paid to salivary and gingival crevicular fluid (GCF) biomarkers, which are promising tools for the diagnosis of various pathologies, including cancer. These biomarkers have high potential for early detection, monitoring of disease progression, and evaluation of the effectiveness of therapeutic interventions.
biomarkerssalivaoral cancercariesmicroRNA
Details
EN · Year 2024 · Issue 4
USE OF NEURONAVIGATION SYSTEM AND INTROOPERATIVE COMPUTER TOMOGRAPH IN CORRECTION OF SCOLIOSIS
D.Zh. YESTAY, S.S. ABDALIEV, D.A. SAGINOVA, T.A. NASIMOV, K.M. YELDASHBAEVA, D.T. BAITOV
Views: 132
Show full abstract
Abstract Introduction. Idiopathic scoliosis is a common form of spinal deformity, the cause of which is unknown. Despite widespread use, there is no systematic method of treatment accepted by doctors. The aim. Demonstration of the results of using the navigation system in combination with intraoperative computer tomography, used in surgical correction of deformities in patients with 3-4 degrees of scoliosis of the thoracic and lumbar spine. Materials and methods. During the study, medical documents were analyzed, including the protocol of operations and the results of diagnostic measures. The obtained data were presented using descriptive statistical methods. Patients with 3-4 degrees of scoliosis or kyphoscoliosis of the spine according to the Cobb classification took part in the study. When selecting patients, only patients with idiopathic deformation of the spine were included, and patients with other deformations were excluded from the study. Written informed consent was obtained from all patients (their parents or legal guardians). Results and discussion. An analysis of the results of operations performed on 37 people aged 11 to 20 years with scoliosis of the spine was carried out. According to the location of the scoliosis arch of the spine, thoracic deformity was detected in 21 patients, thoracic-lumbar in 10, and lumbar in 6. The average age of patients was 16.3±2.3 years. 456 transpedicular screws were installed. Conclusion. The use of navigation systems integrated into intraoperative computer tomography during the installation of transpedicular screws in the correction of scoliosis (kyphoscoliosis) deformation of the spine has a great future and potential. However, due to the high cost of the method, it is impossible to implement it throughout the country.
scoliosiscorrection of spinal deformitiesneuronavigation.
Details
EN · Year 2024 · Issue 4
FEATURES OF FRACTURES OF THE FOOT BONES IN CHILDREN AND ADOLESCENTS DURING X-RAY EXAMINATION
Zh.K. ZHAKENOVA, E.L. LI, A.N. ZHUMABAYEVA, Zh.B. MAULENOV, M.P. ABUBAKIROVA, A.A. ALZHAN
Views: 167
Show full abstract
Introduction. Fractures of the foot bones account for about 10% of all skeletal bone fractures in pediatric practice. Radiography remains the main method of diagnosing foot fractures in children, however, for an accurate interpretation of the X-ray picture, it is necessary to take into account the peculiarities of skeletal development in order to minimize the risk of diagnostic errors and timely identify possible complications. The aim of the study is to study the features of fractures of the foot bones in children and adolescents according to X-ray examination. Methods. The results of X-ray examinations and medical documents of 1159 patients admitted to the emergency of Children's City Clinical Hospital No. 2 in Almaty with an acute foot injury in the period from 01.09.2023 to 31.12.2023 were studied. The criteria for inclusion in the study were the age of patients from 1 to 18 years; history of acute foot injury. Results. Of the studied results of radiological data, fractures of the foot bones were revealed in 471 (40.6%), contusion of the soft tissues of the foot in 674 (58.2%), open laceration of the soft tissues of the foot in 12 (1.0%), post-traumatic infiltration of soft tissues feet – in 2 (0.2%) cases. It was found that the main causes of foot fractures were household, sports, and traffic accidents. By location, fractures of the bones of the foot before the age of 18 were most often visualized in 462 (98%) cases of the forefoot, in the middle section (7 - 1.6%) and 2 (0.4%) cases in the hindfoot. The most frequently visualized fractures on radiographs of the feet were oblique fractures (42.7%), “green stick” fractures (32.7%) and epiphysiolysis (11.5%). An analysis of complications of fractures of the foot bones revealed that an intra- articular fracture (172 - 36.5%) was often observed in acute foot trauma, in contrast to displacement of fragments in 17 (3.6%) cases. Conclusions. These studies show that the majority of fractures of the foot bones in children occur in the age period from 7 years to 14 years, among them there is a significantly higher risk of fractures in boys compared to girls. Also, according to the results of the study, the anterior part of the foot is the most vulnerable localization in fractures of the foot. The findings highlight the importance of radiography for the correct diagnosis and treatment of foot fractures in children, as well as the need for preventive measures to reduce injuries in this age group.
foot fracture in childrenradiographyacute foot injury
Details
EN · Year 2024 · Issue 4
APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN BREAST CANCER DIAGNOSIS: A SYSTEMATIC REVIEW AND META-ANALYSIS
A.B. SHERTAEVA, D.A. OSPANOVA, I.A. LYALKOVA, S.D. UALIYEV, P.A. ELYASIN, A.ZH. ABDRAKHMANOVA, A.M. KONDYBAYEVA, B.D. TANABAYEV
Views: 11
Show full abstract
Introduction. Breast cancer is one of the leading causes of mortality among women worldwide, and its early diagnosis plays a crucial role in improving clinical outcomes and reducing mortality. We aimed to assess the effectiveness of artificial intelligence (AI) methods in breast cancer diagnosis and conduct a meta-analysis of diagnostic accuracy based on data from multiple studies published from 2010 to 2023. Methods. A systematic review was conducted in accordance with PRISMA guidelines. Literature searches were performed in PubMed, Scopus, and Web of Science databases using combinations of keywords and MeSH terms covering the topics "breast cancer," "artificial intelligence," "machine learning," and "deep learning." A total of 24 studies evaluating the diagnostic accuracy of AI methods using sensitivity, specificity, and area under the ROC curve (AUC) metrics were included in the meta-analysis. Statistical analysis was performed using a random-effects model, and the quality of studies was assessed using the QUADAS-2 tool. Results. The range of AUC values for AI methods was from 0.80 to 0.96, indicating high diagnostic accuracy. The highest scores were demonstrated in studies by McKinney et al. (2020) (AUC = 0.95, 95% CI: 0.92–0.98) and Ribli et al. (2018) (AUC = 0.95, 95% CI: 0.93– 0.98). Convolutional neural networks (CNN) showed the highest accuracy among all methods. There was significant heterogeneity between studies, necessitating sensitivity analysis and meta-regression analysis to identify sources of heterogeneity. Conclusion. AI methods have significant potential in breast cancer diagnosis, demonstrating high sensitivity and specificity. However, further research should focus on improving reproducibility of results, standardizing approaches, and increasing the transparency of algorithms for their safe and effective application in medical practice.
breast cancerartificial intelligencedeep learningconvolutional neural networksdiagnostic accuracymeta-analysismachine learning
Details
EN · Year 2024 · Issue 4
FIRST EXPERIENCE IN THE REPUBLIC OF KAZAKHSTAN: LIVER AUTOTRANSPLANTATION IN THE TREATMENT OF EXTENSIVE ABDOMINAL ALVEOCOCCOSIS
A.M. ABDIKARIMOV, V.O. KALINA, S.O. SABERBEKOV
Views: 205
Show full abstract
Introduction. Extensive abdominal alveococcosis of the liver, in the treatment of which the autotransplantation method was used, has not been described in modern domestic literature. We present our experience of a successful operation in a patient with extensive abdominal alveococcosis with invasion into the inferior vena cava. Case presentation. a patient (woman, 64 years old) diagnosed with "alveococcosis of the liver with metastases to the lungs and brain". From the anamnesis: in 2021, alveococcosis of the brain was detected, in 2023, alveococcectomy from the left frontal lobe was performed and alveococcosis of the liver was diagnosed. When performing contrasting computed tomography of the abdominal organs, retroperitoneal space, chest and mediastinum: cystic formation of the right lobe of the liver of parasitic genesis, formations of the lower lobes of both lungs. Surgical treatments: Laparotomy. Left hemihepatectomy with resection of the inferior vena cava ex vivo, with plastic surgery of the inferior vena cava with a synthetic prosthesis, with orthotopic transplantation of the remnant right lobe of the liver. Results. The postoperative period was uneventful. In the postoperative period, empirical antibacterial therapy was started: meropenem 1000 mg 3 times a day (10 days). Gastroprotective therapy with omeprazole 40 mg once a day (14 days). Clexane was administered subcutaneously at 0.2 ml once a day (2 days), then 0.4 ml once a day (10 days). Transfusion of 20 doses of fresh frozen plasma, 7 doses of red blood cell suspension, 2 doses of platelet mass, daily administration of 100 ml of 10% albumin for 14 days were performed. Drainage systems were removed on the 9th day. On the 12th day, the patient was transferred from the intensive care unit to the ward, and on the 20th day after the operation she was discharged with improvement. The patient is currently in the 12th month of outpatient observation. According to the abdominal CT scan, no relapse was observed. Conclusion. Radical surgical treatment for extensive hepatic alveolar echinococcosis, even in cases of invasion into the bifurcation of the portal vein, inferior vena cava, and hepatocaval confluence, is a preferable therapeutic strategy and feasible in specialized institutions.
abdominal alveococcosisresection of the inferior vena cavaliver autotransplantation
Details
EN · Year 2024 · Issue 4
СОВРЕМЕННЫЕ ПОДХОДЫ К ДИАГНОСТИКЕ И ЛЕЧЕНИЮ АТРОФИЧЕСКОГО ГАСТРИТА В КАЗАХСТАНЕ: КЛИНИЧЕСКИЕ РЕКОМЕНДАЦИИ И ЭПИДЕМИОЛОГИЧЕСКИЙ АНАЛИЗ
Д.А. КАЙБУЛЛАЕВА, А.Е. ДЖУМАБАЕВА, А.С. ТАНАБАЕВА, А.А. КАЙСИНА, Э.Б. КУЛТАНОВА, З.Д. ДУШИМОВА, К.А. СЕЙТБЕКОВ, А.Б. ТОКТАРОВА, Б.Д. ТАНАБАЕВ
Views: 129
Show full abstract
Атрофический гастрит — это хроническое заболевание желудка, характеризующееся прогрессирующей атрофией слизистой оболочки, что значительно увеличивает вероятность развития рака. Это исследование посвящено анализу современных знаний и методов диагностики, мониторинга и лечения атрофического гастрита, а также оценке их применимости в условиях Республики Казахстан с целью разработки актуализированных рекомендаций для клинической практики. В рамках исследования был проведен всесторонний анализ существующих доказательств, представленных в научной литературе, с учётом мнений экспертов в области гастроэнтерологии. Для разработки рекомендаций Best Practice Advice использовался системный подход, который включал обзор актуальных литературных источников с применением научных баз данных PubMed, Scopus и Web of Science. Второй этап работы заключался в проведении Экспертного совета, в ходе которого были обсуждены ключевые аспекты диагностики и терапии атрофического гастрита, а также специфические особенности его течения в Казахстане. Полученные данные позволили сформулировать обновленные рекомендации Best Practice Advice, которые будут полезны для практикующих врачей в улучшении диагностики и лечения этого заболевания, а также для формирования стратегий профилактики и своевременного вмешательства в клинической практике, что способствует снижению рисков возникновения рака желудка и улучшению качества жизни пациентов.
атрофический гастритдиагностика атрофического гастритаHelicobacter pyloriпредраковое состояние желудка
Details
EN · Year 2024 · Issue 4
PERFUSION COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF ACUTE ISCHEMIC STROKE: LITERATURE REVIEW
Zh.Zh. ZHOLDYBAI, Zh.K. ZHAKENOVA, A.S. AINAKULOVA, Zh.B. AMANKULOVA, A.A. MUSTAPAEVA, U.T. DAUTOVA, E.N. ABDIDIN, Z.D. KURAKBAEVA, A.N. AKHMULDINOVA, A.A. KHAIRAMOVA, Zh.T. ZHARKINBEKOVA, Z.S. YUSUPOVA, U.S. TULENDI, N.E. KATTABEK, E.A. KOPZHASAR, A.Y. MOLDAELIEVA, M.P. ABUBAKIROVA
Views: 121
Show full abstract
CT perfusion (CTF) is currently considered to be the most relevant method for assessing cerebral blood flow. CT extends the importance of X-ray computed tomography in the diagnosis of ischemic stroke. CT perfusion is now becoming a clinically available method of examining patients with suspected acute cerebrovascular accident and provides functional data on cerebral blood flow, which allows making treatment decisions for a particular patient. The purpose of our study is to review in this review the current state of evidence underlying various imaging paradigms for the diagnosis and treatment of acute ischemic stroke, including current recommendations from scientific studies and major reviews. We also review recent advances in neuroimaging and ongoing trials in key therapeutic areas, as well as imaging selection criteria, to inform possible future approaches to using neuroimaging for stroke diagnosis and treatment decisions.
CT-neuroperfusionischemic stroke
Details
EN · Year 2024 · Issue 4
IMPLEMENTATION OF CHIMERIC ANTIGEN RECEPTOR (CAR)-T THERAPY FOR HEMATOLOGICAL MALIGNANCIES INTO PRACTICAL HEALTHCARE: A SYSTEMATIC REVIEW
A. ZHUMAGALIULY, A. SHUSTOV, SH. TANABAYEVA, D. MENLAYAKOVA
Views: 17
Show full abstract
Chimeric antigen receptor T-cell (CAR-T) therapy represents a transformative advancement in the treatment of relapsed or refractory hematological malignancies such as leukemias, lymphomas, and multiple myeloma. Despite its remarkable efficacy in clinical trials, challenges remain in integrating CAR-T into routine healthcare systems. This systematic review examines key aspects of CAR-T implementation, including manufacturing logistics, economic evaluations, infrastructural readiness, regulatory frameworks, patient-reported outcomes (PROMs), and long-term follow-up strategies. Data from 25 studies highlight that while CAR-T has shown significant therapeutic potential, logistical barriers such as lengthy production timelines and specialized facility requirements hinder its scalability. Economic analyses reveal high upfront costs, with limited accessibility in low-resource settings. PROM data emphasize meaningful improvements in patient quality of life, though these findings are predominantly short-term. Adverse events, including cytokine release syndrome and neurotoxicity, necessitate rigorous safety protocols and specialized care teams. Long-term follow-up remains underexplored, with few studies providing insights into survivorship care. To address these challenges, the review identifies potential solutions, including decentralized manufacturing, innovative reimbursement models, and enhanced patient selection criteria. Collaborative efforts between stakeholders, robust policy frameworks, and patient-centered approaches are crucial for successful CAR-T integration. Future research should focus on longitudinal studies, real-world applications, and tailored survivorship protocols to optimize CAR-T delivery and outcomes.
CAR-T therapyhematological malignanciesimplementationpatient- reported outcomeshealthcare integration
Details
EN · Year 2024 · Issue 4
AUTOMATED DETECTION OF TISSUE DENSITY DECREASE IN ACUTE ISCHEMIC STROKE USING NON-CONTRAST CT IMAGES AND DEEP NEURAL NETWORK MODELS IN THE CEREBRA SYSTEM
M. SAIFULLAKYZY ¹,², A.S.ZHUSSUPOVA ¹,³, E.K.DYUSSEMBEKOV ⁴,⁵, E.T. MAKHAMBETOV ⁶, R.M. KASTEY ⁵, Zh.B. DYUSSEMBAEVA ⁵, Zh.N. SAGIMBAYEV ¹, M.K. UMURZAKOVA ¹, I.R. FAKHRADIYEV ⁴
Views: 214
Show full abstract
Introduction. Acute ischemic stroke remains one of the leading causes of disability and mortality worldwide. Non-contrast computed tomography (NCCT) is the standard primary imaging method, but early ischemic changes (“subtle” tissue density reduction) may be difficult to detect visually. The goal of this study was to develop and evaluate an automated system for detecting regions of reduced density in CT images, based on deep neural network models, and integrated into the «Cerebra» platform. Materials and Methods. The study included 246 patients (127 males and 119 females) with a confirmed diagnosis of acute ischemic stroke. The mean age for males was 58.96 ± 8 years, for females—62.15 ± 8 years. All CT scans were performed on multislice scanners (Fujifilm, GE, Hitachi, Siemens, UIH) using standard protocols. Cascading U-Net-based models (in particular, with an EfficientNet B6 encoder), trained on annotated data verified by three independent radiologists, were used for automatic segmentation of areas with reduced density. Performance was evaluated using Accuracy, Precision, Recall, F1-Score, and Cohen’s Kappa. Results. During 2022–2024, a stepwise improvement in accuracy was observed. In 2024, the Accuracy reached 92.3%, F1-Score was 96.0%, Recall 92.3%, and Precision reached 100%. In 2023, Cohen’s Kappa was 0.80, indicating high agreement with expert assessments. Analysis on different CT scanner models showed the algorithm maintained high reproducibility (F1- Score from 88.8% to 100%) under varying technical conditions. Discussion. These findings confirm that the combined use of image normalization (MNI space), cascading deep neural networks, and consensus annotation by three experts enhances early detection of ischemic changes. Improvements over the years were associated with expansion of the training dataset and regular updating of the model architecture. The “Cerebra” system has demonstrated versatility due to stable results on scanners from different manufacturers. Conclusion. The developed automated system for detecting reduced tissue density can significantly improve diagnostic accuracy in acute ischemic stroke and reduce decision-making time. Further dataset expansion and multicenter validation will enable this solution to be scaled up for widespread clinical use.
ischemic strokenon-contrast CTtissue density decreasedeep learningU- NetCerebraautomated detectionearly diagnosis
Details