Diagnostic Role Research Articles

The Cardiac Pulsed Wave Doppler Pattern of the Common Femoral Vein in Diagnosing the Likelihood of Severe Pulmonary Hypertension: Results from a Prospective Multicentric Study.

Background and Objectives: Pulmonary hypertension (PH) is a clinical condition with high mortality rates, particularly in patients over 65. Current guidelines recommend assessing the likelihood of pulmonary hypertension (LPH) using advanced echocardiography before proceeding to right heart catheterization. This study proposed using the common femoral vein (CFV), an accessible vein that reflects right atrial pressure, as an alternative method to assess the high likelihood of pulmonary hypertension (H-LPH). Materials and Methods: This prospective observational study included 175 emergency patients from three hospitals. Ultrasound assessed the pulsed wave Doppler (PW-Doppler) morphology of the CFV. This diagnostic yield for H-LPH was evaluated alongside traditional ultrasound parameters (right-to-left ventricular basal diameter ratio greater than 1 (RV > LV), septal flattening, right ventricular outflow acceleration time (RVOT) of less than 105 ms and/or mesosystolic notching, pulmonary artery diameter greater than the aortic root (AR) diameter or over 25 mm, early pulmonary regurgitation maximum velocity > 2.2 m/s; TAPSE/PASP less than 0.55, inferior vena cava (IVC) diameter over 21 mm with decreased inspiratory collapse, and right atrial (RA) area over 18 cm2). Results: The CFV's PW-Doppler cardiac pattern correlated strongly with H-LPH, showing a sensitivity (Sn) of 72% and a specificity (Sp) of 96%. RA dilation and TAPSE/PASP < 0.55 also played significant diagnostic roles. Conclusions: The CFV's PW-Doppler cardiac pattern is an effective indicator of H-LPH, allowing reliable exclusion of this condition when absent. This approach could simplify initial LPH evaluation in emergency settings or where echocardiographic resources are limited.

Diagnostic and prognostic role of LINC01767 in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a primary contributor to cancer-related mortality on a global scale. However, the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs are emerging markers for HCC diagnosis, prognosis, and therapeutic target. No study of LINC01767 in HCC was published. To conduct a multi-omics analysis to explore the roles of LINC01767 in HCC for the first time. DESeq2 Package was used to analyze different gene expressions. Receiver operating characteristic curves assessed the diagnostic performance. Kaplan-Meier univariate and Cox multivariate analyses were used to perform survival analysis. The least absolute shrinkage and selection operator (LASSO)-Cox was used to identify the prediction model. Subsequent to the validation of LINC01767 expression in HCC fresh frozen tissues through quantitative real time polymerase chain reaction, next generation sequencing was performed following LINC01767 over expression (GSE243371), and Gene Ontology/Kyoto Encyclopedia of Genes and Genomes/Gene Set Enrichment Analysis/ingenuity pathway analysis was carried out. In vitro experiment in Huh7 cell was carried out. LINC01767 was down-regulated in HCC with a log fold change = 1.575 and was positively correlated with the cancer stemness. LINC01767 was a good diagnostic marker with area under the curve (AUC) [0.801, 95% confidence interval (CI): 0.751-0.852, P = 0.0106] and an independent predictor for overall survival (OS) with hazard ratio = 1.899 (95%CI: 1.01-3.58, P = 0.048). LINC01767 nomogram model showed a satisfied performance. The top-ranked regulatory network analysis of LINC01767 showed the regulation of genes participating various pathways. LASSO regression identified the 9-genes model showing a more satisfied performance than 5-genes model to predict the OS with AUC > 0.75. LINC01767 was down-expressed obviously in tumor than para-tumor tissues in our cohort as well as in cancer cell line; the over expression of LINC01767 inhibit cell proliferation and clone formation of Huh7 in vitro. LINC01767 was an important tumor suppressor gene in HCC with good diagnostic and prognostic performance.

Evaluation of the diagnostic role of circulating miR-16, miR-10b, and miR-21 expression in patients with nonalcoholic fatty liver disease

Non-alcoholic fatty liver disease (NAFLD) is a growing global health concern and is characterized by fat accumulation in the liver in the absence of significant alcohol consumption. However, current diagnostic tools, including liver biopsy and imaging techniques, have limitations in terms of accessibility, invasiveness, and sensitivity. Recently, microRNAs (miRNAs) have emerged as non-invasive biomarkers for the diagnosis of NAFLD. In this study, we investigated the expression of three microRNAs (miR-16, miR-10b, and miR-21) in patients with NAFLD across different disease stages compared with healthy subjects. First, miRNAs were extracted from serum samples collected from 34 healthy controls and 38 patients with NAFLD, including 20 with grade 1 and 18 with grade 2 of the disease. Subsequently, cDNA was synthesized from RNA, and miR-21, miR-16, and miR-10b expression was measured using RT-qPCR. The results revealed the downregulation of miR-16 in the early and advanced stages of NAFLD. The serum expression of miR-21 (p < 0 0.01) and miR-10b (p < 0.05) increased in the total NAFLD samples compared with the control group. Moreover, miR-10b expression was significantly higher in patients with stage 2 of NAFLD than in those with stage1 of NAFLD (p < 0.05), suggesting its potential as a biomarker to distinguish between the different grades of the disease. Our results revealed the clinical value of these miRNAs as non-invasive, sensitive, and stage-specific biomarkers for NAFLD. These findings suggest that the assessment of miR-16, miR-21, and miR-10b expression levels could serve as a potentially useful tool for the diagnosis of NAFLD presence and severity.

Diagnostic role of sonography in early detection and surgical intervention of an epidural abscess: A case report

AbstractIntroductionIntracranial epidural abscesses require swift diagnosis and treatment. While magnetic resonance imaging (MRI) is preferred for its detailed visualisation, it is costly and time‐consuming. Transcranial sonography offers a rapid, portable and cost‐effective alternative for assessing brain lesions.MethodsWe present a case study involving the diagnosis and management of an intracranial epidural abscess in a 25‐year‐old man with a traumatic brain injury who underwent a craniectomy and later developed fever and drowsiness in the intensive care unit.ResultsUsing transcranial point‐of‐care ultrasound, a hypoechoic collection was identified at the surgical site, prompting further imaging with computed tomography (CT) and MRI, which confirmed the diagnosis of an epidural abscess. Prompt surgical intervention led to the resolution of symptoms and a favourable clinical outcome.ConclusionThis case highlights the potential utility of brain sonography as an efficient and cost‐effective initial diagnostic tool for detecting intracranial complications, particularly in postoperative patients with altered sensorium and fever, where timely intervention is crucial.

Heart failure with preserved ejection fraction management: a systematic review of clinical practice guidelines and recommendations.

Multiple guidelines exist for the diagnosis and management of heart failure with preserved ejection fraction (HFpEF). We systematically reviewed current guidelines and recommendations, developed by national and international medical organizations, on the management of HFpEF in adults to aid clinical decision-making. We searched MEDLINE and EMBASE on 28 February 2024 for publications over the last 10 years as well as websites of organizations relevant to guideline development. Of the ten guidelines and recommendations retrieved, seven showed considerable rigour of development and were subsequently retained for analysis. There was consensus on the definition of HFpEF and the diagnostic role of serum natriuretic peptides and resting transthoracic echocardiography. Discrepancies were identified in the thresholds of serum natriuretic peptides and transthoracic echocardiography parameters used to diagnose HFpEF. There was agreement on the general pharmacological and supportive management of acute and chronic HFpEF. However, differences exist in strategies to identify and address specific phenotypes. Contemporary guidelines for HFpEF management agree on measures to avoid its development and the consideration of cardiac transplantation in advanced disease. There were discrepancies in recommended frequency of surveillance for patients with HFpEF and sparse recommendations on screening for HFpEF in the general population, use of diagnostic scoring systems, and the role of newly emerging therapies.

Augmenting Radiological Diagnostics with AI for Tuberculosis and COVID-19 Disease Detection: Deep Learning Detection of Chest Radiographs.

In this research, we introduce a network that can identify pneumonia, COVID-19, and tuberculosis using X-ray images of patients' chests. The study emphasizes tuberculosis, COVID-19, and healthy lung conditions, discussing how advanced neural networks, like VGG16 and ResNet50, can improve the detection of lung issues from images. To prepare the images for the model's input requirements, we enhanced them through data augmentation techniques for training purposes. We evaluated the model's performance by analyzing the precision, recall, and F1 scores across training, validation, and testing datasets. The results show that the ResNet50 model outperformed VGG16 with accuracy and resilience. It displayed superior ROC AUC values in both validation and test scenarios. Particularly impressive were ResNet50's precision and recall rates, nearing 0.99 for all conditions in the test set. On the hand, VGG16 also performed well during testing-detecting tuberculosis with a precision of 0.99 and a recall of 0.93. Our study highlights the performance of our deep learning method by showcasing the effectiveness of ResNet50 over traditional approaches like VGG16. This progress utilizes methods to enhance classification accuracy by augmenting data and balancing them. This positions our approach as an advancement in using state-of-the-art deep learning applications in imaging. By enhancing the accuracy and reliability of diagnosing ailments such as COVID-19 and tuberculosis, our models have the potential to transform care and treatment strategies, highlighting their role in clinical diagnostics.

Copolymer-Coated Gold Nanoparticles: Enhanced Stability and Customizable Functionalization for Biological Assays.

Gold nanoparticles (AuNPs) play a vital role in biotechnology, medicine, and diagnostics due to their unique optical properties. Their conjugation with antibodies, antigens, proteins, or nucleic acids enables precise targeting and enhances biosensing capabilities. Functionalized AuNPs, however, may experience reduced stability, leading to aggregation or loss of functionality, especially in complex biological environments. Additionally, they can show non-specific binding to unintended targets, impairing assay specificity. Within this work, citrate-stabilized and silica-coated AuNPs (GNPs and SiGNPs, respectively) have been coated using N,N-dimethylacrylamide-based copolymers to increase their stability and enable their functionalization with biomolecules. AuNP stability after modification has been assessed by a combination of techniques including spectrophotometric characterization, nanoparticle tracking analysis, transmission electron microscopy and functional microarray tests. Two different copolymers were identified to provide a stable coating of AuNPs while enabling further modification through click chemistry reactions, due to the presence of azide groups in the polymers. Following this experimental design, AuNPs decorated with ssDNA and streptavidin were synthesized and successfully used in a biological assay. In conclusion, a functionalization scheme for AuNPs has been developed that offers ease of modification, often requiring single steps and short incubation time. The obtained functionalized AuNPs offer considerable flexibility, as the functionalization protocol can be personalized to match requirements of multiple assays.

Lung Microbiome in Lung Cancer: A New Horizon in Cancer Study.

Lung cancer is the second most prevalent cancer worldwide and a leading cause of cancer-related deaths. Recent technological advancements have revealed that the lung microbiome, previously thought to be sterile, is host to various microorganisms. The association between the lung microbiome and lung cancer initiation, progression, and metastasis is complex and contradictory. However, disruption in the homeostasis of microbiome compositions correlated with the increased risk of lung cancer. This review summarizes current knowledge about the most recent developments and trends in lung cancer-related microbiota or microbial components. This article aims to provide information on this rapidly evolving field while giving context to the general role of the lung microbiome in lung cancer. In addition, this review briefly discussed the causative association of lung microbiome with lung cancer. We will review the mechanisms by which lung microbiota influence carcinogenesis, focusing on microbiota dysbiosis. Moreover, we will also discuss the host-microbiome interaction as it plays a crucial role in stimulating and regulating the immune response. Finally, we will provide information on the diagnostic role of the microbiome in lung cancer. This article aims to offer an overview of the lung microbiome as a predictive and diagnostic biomarker in lung cancer.

Diagnostic role of SPP1 and collagen IV in a rat model of type 2 diabetes mellitus with MASLD

Type 2 diabetes mellitus combined with metabolic dysfunction-associated steatotic liver disease (MASLD) leads to an increasing incidence of liver injury year by year, and patients are at a significantly higher risk of developing cirrhosis or even liver failure. No drugs have emerged to specifically treat this disease. The aim of this study is to investigate the mechanisms and causative hub genes of type 2 diabetes combined with MASLD. The data were obtained through the GEO platform for bioinformatics analysis and validated by in vitro experiments to find the causative targets of type 2 diabetes mellitus combined with MASLD, which will provide some theoretical basis for the development of future therapeutic drugs. GSE23343 and GSE49541 were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) in type 2 diabetes mellitus combined with MASLD for functional enrichment analysis. And STRING database and Cytoscape software were used to construct Protein–Protein Interaction (PPI) and hub gene networks. And GO (gene ontology, GO) analysis and KEGG (Kyoto encyclopedia of genes and genomes, KEGG) enrichment analysis were performed on target genes. A total of 185 co-expressed DEGs were obtained by differential analysis, and 20 key genes involved in the development and progression of type 2 diabetes were finally screened. These 20 key genes were involved in 529 GO enrichment results and 20 KEGG enrichment results, and were mainly associated with ECM–receptor interaction, Focal adhesion, Human papillomavirus infection, PI3K-Akt signaling pathway, and the Toll-like receptor signaling pathway. A total of two target genes (SPP1, collagen IV) were found to be highly correlated with type 2 diabetes mellitus combined with MASLD. Real time PCR results showed that there was a significant difference in SPP1 and collagen IV mRNA expression among the three groups (P < 0.05). SPP1 and Collagen IV may be candidate biomarkers for type 2 diabetes mellitus combined with MASLD, as verified by bioinformatics screening and in vitro experiments. Our findings provide new targets for the treatment of type 2 diabetes combined with MASLD.

Diagnostic, Prognostic and Therapeutic Role of MRI in Spinal Trauma

Diagnostic, Prognostic and Therapeutic Role of MRI in Spinal Trauma

The Role of Coagulation in Heart Failure: A Literature Review.

This article summarizes the role of coagulation factors in the pathophysiology of heart failure including D-dimer, fibrinogen and fibrin, prothrombin, p-selectin, tissue factor, tissue plasminogen activator, von Willebrand factor, β-thromboglobulin, Factor XI, tissue thromboplastin, plasminogen activator inhibitor-1 (PAI-1), thrombomodulin, soluble urokinase-type plasminogen activator receptor (suPAR) and stuart-prower factor. The D-dimer, P-selectin, prothrombin, von Willebrand factor, tissue plasminogen activator, fibrinogen, suPAR, tissue factor, thrombomodulin and Factor XI play significant roles the pathophysiology of heart failure. However, no associations were found between β-thromboglobulin, tissue thromboplastin, PAI-1 and stuart-prower factor in the context of heart failure. Coagulation factors play significant role in the pathophysiology of heart failure. Consequently, the underlying pathophysiological mechanisms that explain changes in the cascade are closely related to the diagnostic, prognostic and therapeutic roles of coagulation cascade factors, which help physicians identify and treat heart failure.

PRAME expression in genital melanocytic lesions – Potential diagnostic pitfall of intermediate expression in atypical genital nevi

IntroductionThe Preferentially Expressed Antigen in Melanoma (PRAME) immunostain has seen significant diagnostic use in confirming malignancy for melanocytic lesions. However, the expression of PRAME in genital melanocytic lesions have not been reported. In this study, PRAME staining was performed on a cohort of genital melanocytic lesions, aiming to investigate the diagnostic role of PRAME in genital melanocytic lesions and its expression in atypical genital nevi. MethodologyA cohort including genital invasive melanoma, melanoma-in-situ, atypical genital nevus (AGN), compound nevus, intradermal nevus, blue nevus, lentigo and melanosis was retrieved with histology reviewed and PRAME immunostaining performed. ResultsA total of 66 cases were reviewed. The average proportion expression of PRAME were 56.75 % and 57.43 % for invasive melanoma and melanoma-in-situ, with average H-scores of 153.5/300 and 163.14/300 respectively, which were greater than AGN (3.25 %, 7.75/300, p<0.001), compound/intradermal nevi, lentigo/melanosis, and background junctional melanocytes (<1 %, <1/300, p<0.001). The different cutoffs of PRAME expression, the sensitivity and specificity were 65.22 % and 100 % (>100/300); 69.57 % and 95.83 % (>10/300); and 82.61 % and 93.75 % (≥1/300) respectively. Low level PRAME expression was seen in half of the cases of AGN (n=2/4, 50 %), and at low cutoffs (>10/300 and ≥1/300) unable to differentiate invasive melanoma from AGN (p>0.05). ConclusionsFor genital melanocytic lesions, PRAME immunostain shows high specificity at strong and diffuse staining. AGN not uncommonly display low level expression. Focal and/or weak PRAME expression should not be considered as an absolute indication of malignancy, and comprehensive histological assessment remains the key to accurate diagnosis of melanocytic lesions.

Prognostic prediction and diagnostic role of Rspondin 1 expression in esophageal squamous cell carcinoma.

Rspondin 1 (Rspo1), a protein family member featuring secreted furin-like domains, plays a pivotal role in cancer development and exhibits a positive correlation with tumor progression. However, its expression in esophageal squamous cell carcinoma (ESCC) is still unknown. Here, we assessed the correlation between Rspo1 and clinicopathological features of ESCC patients, and further investigated the potential role of Rspo1 in ESCC development and clinical outcomes. This was a pilot study. A total of 112 paraffin-embedded tumor samples from patients with ESCC, including 68 matched adjacent normal tissues, were collected post-surgery. Subsequently, tissue microarray (TMA) and immunohistochemistry (IHC) techniques were employed to assess the protein levels of Rspo1. All statistical analyses were performed with SPSS 20.0 (SPSS, Inc., Chicago, IL). We found that Rspo1 expression was significantly higher in ESCC than in adjacent normal tissues (P < 0.0001). Moreover, Rspo1 was highly expressed in ESCC tumor specimens and showed a significant correlation with the T classification of ESCC (P < 0.05). Additionally, our findings indicate a positive relationship between Rspo1 and survival time in ESCC. Patients exhibiting moderate to high levels of Rspo1 expression demonstrated superior survival outcomes compared to those with low expression (P = 0.0002). Our investigation has demonstrated that Rspo1 is upregulated in ESCC and exhibits a positive correlation with disease progression. Furthermore, we have observed a significant association between Rspo1 overexpression and improved patient survival rates, indicating its potential as a prognostic marker and therapeutic target for ESCC treatment.

Diagnostic Role of Multi-Detector Computed Tomography in Acute Mesenteric Ischemia.

Mesenteric ischemia diagnosis is challenging, with an overall mortality of up to 50% of cases despite advances in treatment. The main problem that affects the outcome is delayed diagnosis because of non-specific clinical presentation. Multi-Detector CT Angiography (MDCTA) is the first-line investigation for the suspected diagnosis of vascular abdominal pathologies and the diagnostic test of choice in suspected mesenteric bowel ischemia. MDCTA can accurately detect the presence of arterial and venous thrombosis, determine the extent and the gastrointestinal tract involved, and provide detailed information determining the subtype and the stage progression of the diseases, helping clinicians and surgeons with appropriate management. CT (Computed Tomography) can differentiate forms that are still susceptible to pharmacological or interventional treatment (NOM = non-operative management) from advanced disease with transmural necrosis in which a surgical approach is required. Knowledge of CT imaging patterns and corresponding vascular pathways is mandatory in emergency settings to reach a prompt and accurate diagnosis. The aims of this paper are 1. to provide technical information about the optimal CTA (CT Angiography) protocol; 2. to explain the CTA arterial and venous supply to the gastrointestinal tract and the relevant ischemic pattern; and 3. to describe vascular, bowel, and extraintestinal CT findings for the diagnosis of acute mesenteric ischemia.

Diagnostic Role of CA19-9, CA19-9/CRP Ratio and CA19-9/Total Bilirubin Ratio in Differentiating Benign and Malignant Obstructive Jaundice

Diagnostic Role of CA19-9, CA19-9/CRP Ratio and CA19-9/Total Bilirubin Ratio in Differentiating Benign and Malignant Obstructive Jaundice

Dobutamine stress cardiac magnetic resonance-feature tracking in assessment of myocardial ischemia and viability

BackgroundCardiovascular magnetic resonance-feature tracking (CMR-FT) is a novel quantitative objective noninvasive technique in the assessment of myocardial deformation. The purpose of that study was to assess the capability of the CMR-FT in the detection of myocardial ischemia and viability. We investigated 30 patients (n = 480 myocardial segments), with known or suspected coronary artery disease (CAD). Dobutamine stress cardiovascular magnetic resonance (DS-CMR) and late gadolinium enhancement (LGE) were used to identify the viable non-ischemic, ischemic, and non-viable myocardial segments. Cine images at rest were used to calculate the segmental radial (Err), circumferential (Ecc), and longitudinal (Ell) strain parameters by manual contouring of endocardial and epicardial borders using Segment Software.ResultsOf the 480 myocardial segments and based on the DS-CMR and LGE results, 338 segments were defined as viable non-ischemic (remote), 101 segments were viable ischemic, and 41 segments were non-viable. Rest segmental Ecc, Err, and Ell values were significantly impaired in the non-viable (mean ± SD = − 3.94 ± 4.99%, 11.81 ± 12.55%, and − 7.50 ± 6.96%, respectively) compared to both viable groups, p < 0.001. Ecc and Err significantly differentiated between the non-ischemic and ischemic groups (mean ± SD = − 19.14 ± 7.20% vs − 13.18 ± 8.57% and 44.03 ± 19.56% vs 32.79 ± 17.91% respectively), p < 0.001. However, Ell showed no statistical significance between them (mean ± SD = − 16.44 ± 8.78% vs − 16.12 ± 10.00%, p = 0.945).ConclusionsCMR-FT can differentiate between viable and non-viable as well as ischemic and non-ischemic myocardial segments. So, such a noninvasive technique has a promising additional objective diagnostic role in conjunction with CMR in ischemia and viability assessment or even may replace stress and LGE studies in the future.

Port-site hernia recurrence at previous 5-mm laparoscopic access: case report and review of literature.

Port-site hernia (PSH) of less than 10 mm is an exceptionally rare complication of minimally invasive surgery (MIS). To date, there have been no cases in the literature reporting recurrence of PSH from a 5 mm incision. We present the first case of PSH recurrence in a woman who underwent surgery for benign gynaecological pathology via a MIS approach. Her post-operative course was complicated by an episode of symptomatic hernia arising from a 5 mm accessory trocar which was surgically managed. A few months later she re-presented with the same symptoms and had a PSH recurrence of the same port-site. Two corrective surgeries employing different techniques were performed. The first episode was managed laparoscopically using interrupted stitches. On the other hand, the PSH recurrence was managed by placement of a mesh. Ultrasound played a crucial role in diagnostics, especially in the recurrent setting. Due to the complete absence of similar cases in the literature, the decision making around the management of a PSH recurrence from a 5 mm trocar site proved to be challenging. As MIS is the current standard of care, more cases are likely to occur, however despite the increasing number of surgical procedures performed via MIS, no established guidelines for managing such complications have been proposed. Trying to bridge this gap, we present the case report of the first case of PSH recurrence from a 5 mm accessory port and a review of the most significant literature available to date. We finally summarise the reported cases of PSH and the types of surgical repair conducted to highlight the absence of a standard of care.

Role of artificial intelligence in ocular tumors: A systematic review.

e15070 Background: Integrating oncology and artificial intelligence (AI) shows significant potential in improving treatments and early detection of ocular tumors. This systematic review aims to strengthen existing evidence regarding the application of AI in diagnosing and treating ocular tumors. Methods: We systematically searched PubMed, Embase, Web of Science, Scopus, and Google Scholar until January 15, 2024. Inclusion criteria comprised original peer-reviewed human studies (retrospective or prospective) investigating AI approaches in patients with ocular tumors such as retinoblastoma, uveal melanoma, conjunctival melanoma, and choroidal melanoma. The quality of the literature was assessed using JBI checklists. The eligibility criteria involved assessing studies that explored the application of AI in ocular tumor detection, classification, and treatment planning. We employed a rigorous screening process, and subsequent data extraction focused on key characteristics, including tumor types, sample sizes, AI input data specifications, and study aims. Exclusion criteria encompassed studies not meeting the inclusion criteria, lacking relevant outcome measures, exhibiting insufficient methodological quality, or inadequate reporting. Results: The initial database search yielded 903 records, of which 37 studies (retrospective = 24 and prospective = 13) were included. Most studies selected the retinoblastoma (n = 12) and uveal melanoma (n = 14). Other studies utilized other types of ocular tumors, including ocular metastasis (n = 2), ocular surface squamous neoplasia (n = 2), and ocular lymphoma (n = 2). The conjunctival melanoma, choroidal melanoma, intraocular melanoma, cavernous hemangioma, and schwannoma patients were utilized once. The AI-based models were employed for the classification (n = 22), prognosis prediction (n = 6), lesion segmentation (n = 5), and predicting the gene expression (n = 4) tasks. The data types used Included magnetic resonance imaging (MRI), computed tomography (CT), whole-slide imaging (WSI), clinical data, and fundus images. A meta-analysis was precluded because of the significant heterogeneity observed across the included studies in terms of demographics, study design, interventions, and outcome measures. Conclusions: Although imaging and patient presentation have played a crucial role in ocular tumor diagnostics, AI presents promising results in prediction, prognosis, and disease management. Meanwhile, AI's primary role has been in classification, demonstrating significant success. Additionally, continued exploration of less-discussed eye tumors is essential for enhancing AI's predictive and therapeutic capabilities. The absence of reported evaluation criteria and low evaluation parameter rates in certain studies underscores the importance of standardized reporting practices for robust assessments in future ocular oncology research.

Potential diagnostic and distinguishing roles of microneedle‐based biosensors in bacterial and aseptic meningitis

AbstractMeningitis, which is defined by inflammation of the meninges, is a major cause of death and morbidity worldwide. Traditional diagnostic approaches, such as imaging procedures and the study of cerebrospinal fluid, are intrusive, time consuming and sometimes non‐specific. The suggested approach entails creating a biosensor based on microneedles that can detect in real time without the requirement for labels. The biosensor uses highly sensitive detection techniques to detect changes in ionic current and modulation of impedance in response to biomolecules that are of interest, such as proteins and nucleic acids, which are linked to meningitis infections. Initial studies have shown that the microneedle‐based biosensor for meningitis diagnosis is both feasible and effective. When it comes to identifying bacterial and aseptic meningitis biomarkers from blood and cerebrospinal fluid (CSF) samples, the biosensor showed excellent sensitivity and specificity. This novel technique has the potential to enhance patient outcomes by facilitating prompt intervention and tailored therapy by offering a quick, safe and accurate way to distinguish between bacterial and aseptic meningitis. To maximise the biosensor's performance and confirm its therapeutic usefulness in various contexts, more investigations and advancements are necessary.

Diagnostic, prognostic, and immunological roles of CDSN in ovarian cancer

Globally, ovarian cancer (OC) ranks as a principal cause of cancer-related mortality in females. Immunotherapy has revolutionized the treatment of OC, but the efficacy of immunotherapy is often limited by different immune microenvironments. The objective of this research was to pinpoint and validate candidate genes with potential value as diagnostic and prognostic biomarkers and therapeutic targets in OC. Data on genes associated with gene mutation, prognostic survival, and immune infiltration in OC were procured from the Cancer Genome Atlas (TCGA). Gene differential analysis, mutation site analysis, prognosis and survival analysis, and functional and signaling pathway enrichment analysis were conducted to identify and evaluate key genes. The genes were further investigated using immune infiltration analysis, receiver operating characteristic curves, and immunohistochemistry. The impact of CDSN on OC cell proliferation was investigated utilizing CCK-8, colony formation, and apoptosis detection assays. We identified a set of genes (CDSN, WARS, and CD38) that were highly expressed in OC and significantly associated with mutations and prognosis. Immune infiltration analysis and immunohistochemistry results indicated a correlation with immune infiltration in the tumor microenvironment, particularly in antigen-presenting cells. Receiver operating characteristic curve analysis demonstrated the diagnostic potential of these three genes in OC, with all three genes showing the area under the curve (AUC) above 0.8. In vitro studies suggested that knocked down CDSN expression resulted in a marked lower in the proliferative capacity of OC cells. The candidate gene CDSN identified through bioinformatics analysis and in vitro experiments is associated with mutation and immune infiltration, showing promise as a diagnostic and prognostic biomarker, as well as a therapeutic objective in OC.