Search Results (14,770)

Background/Objectives: Mac-2 binding protein glycosylation isomer (M2BPGi) is a novel biomarker for liver fibrosis, and its prognostic role has never been explored in coronavirus disease 2019 (COVID-19). We compared the M2BPGi level simultaneously with age, severe/critical disease, the sequential organ failure assessment (SOFA) score, and the National Early Warning Score 2 (NEWS2) in a total of 53 hospitalized patients with COVID-19 (mild/moderate [n = 15] and severe/critical [n = 38]). Methods: M2BPGi levels were measured using the HISCL M2BPGi assay (Sysmex, Kobe, Japan) in an HISCL-5000 analyzer (Sysmex), and clinical outcomes were analyzed according to M2BPGi and the clinical variables, using the receiver operating characteristic (ROC) curve, Kaplan–Meier survival, and Cox proportional hazards regression analyses. Results: M2BPGi levels differed significantly according to disease severity, 30-day mortality, and 60-day mortality (p = 0.045, 0.011, and 0.002, respectively). In the ROC curve analysis, the M2BPGi, age, SOFA score, and NEWS2, except for severe/critical disease, significantly predicted clinical outcomes (all p < 0.01). In the survival analysis, the hazard ratios of M2BPGi added to each clinical variable were higher than that of each clinical variable alone, and M2BPGi was the only independent prognostic factor for the mortality. Conclusions: This study demonstrated that M2BPGi may be a useful biomarker for assessing disease severity and clinical outcomes in hospitalized COVID-19 patients. Combined with conventional clinical assessment, M2BPGi would provide objective and valuable information for prognosis prediction in these critically ill patients. Further studies are warranted to extend its utility in other clinical settings. Full article

Background: Mobility impairments in multiple sclerosis (MS) significantly affect quality of life. This study evaluated the clinical utility and sensitivity of the Backward Timed 25-Foot Walk Test (B-T25FW) and its associations with key clinical measures in MS. Methods: A cross-sectional study was conducted with 129 ambulatory patients with MS from two centers. Disability (Expanded Disability Status Scale, EDSS), cognition (Symbol Digit Modalities Test, SDMT), manual dexterity (Nine-Hole Peg Test, 9HPT), fatigue, and forward and backward walking were assessed. Correlation and receiver operating characteristic (ROC) analyses were performed. Results: The participants included in the study were 76% female, with a mean age of 38 years, and the majority were diagnosed with relapsing–remitting MS (86.8%). Backward and forward walking times significantly correlated with key clinical measures, including the EDSS, SDMT, and 9HPT. Backward walking times showed moderate correlations with EDSS (r = 0.469) and weaker but significant correlations with 9HPT (r = 0.452) and disease duration (r = 0.245). Both walking tests were negatively correlated with SDMT scores. For prognostic purposes, forward walking exhibited slightly higher predictive power compared to backward walking. Conclusions: The B-T25FW is a clinically relevant, practical, and sensitive tool for assessing mobility impairments in individuals with MS. Its integration into clinical practice could complement forward walking assessments, enhancing disease monitoring and guiding interventions. Future research should validate its longitudinal utility. Full article

Upper gastrointestinal concerns including gastroparesis-like symptoms affect a large portion of the population, and determining the culprit condition can be difficult due to largely shared symptoms, clinical course, pathophysiology, and treatment pathways. The understanding of gastric neuromuscular disorders (GNDs) is emerging as a heterogeneous group encompassing conditions from gastroparesis to functional dyspepsia with chronic nausea, early satiety, bloating, or abdominal pain, irrespective of gastric emptying. This article aims to review the current concepts in gastroparesis and GNDs including pathophysiology, diagnosis, and management. While some established standards in their diagnosis and management exist, a number of novel diagnostics are becoming available. Durable therapeutic options are notably limited for such common conditions with chronic and debilitating symptoms, and neuromodulators may play a key role in symptom control, which has been previously under-recognized and underutilized. Advances in both pharmacologic treatment targets as well as noninvasive and invasive interventions and devices show promise in improving the experience of patients with gastroparesis-like symptoms. At this time, treatment of GNDs requires comprehensive multidisciplinary care from providers to achieve successful treatment outcomes. Full article

Background/Objectives: To compare and analyze the application of a Helicobacter pylori (H. pylori, Hp) serum antibody typing test (Hp-sATT) and the ¹³C-urea breath test (¹³C-UBT) in the diagnosis of Hp infection against an empirical therapy background. Methods: The detection of Hp-sATT using a combination of the quantum dot immunofluorescence method and the ¹³C-UBT was carried out in 237 patients who visited the Department of Gastroenterology at Beijing Tsinghua Changgung Hospital. The diagnostic consistency and correlation with gastric lesions of the two detection methods were analyzed by integrating the detection results, clinical information, and special staining of Hp in histopathological tissues (SS-Hp). Results: For the ¹³C-UBT, 104 (43.88%) cases were positive and 133 (56.12%) were negative. Positive results were found in 127 (53.59%) patients by using the Hp-sATT, with 67 (28.27%) cases of Type I Hp infection and 60 (25.32%) cases of Type II Hp infection. The consistency analysis between the Hp-sATT and ¹³C-UBT for all the patients showed a Kappa value of 0.339 (p < 0.001); the consistency analysis between the Hp-sATT and the 127 patients with SS-Hp showed a Kappa value of 0.427 (p < 0.001); and the consistency analysis between the ¹³C-UBT and the 127 patients with SS-Hp indicated a Kappa value of 0.621 (p < 0.001). However, in 191 patients without a history of Hp eradication, the consistency analysis results for the three methods improved, with Kappa values of 0.467 (p < 0.001) and 0.457 (p < 0.001) for the Hp-sATT with the ¹³C-UBT and SS-Hp, respectively, and 0.646 (p < 0.001) for the ¹³C-UBT with SS-Hp. In addition, a positive correlation was found between the signal values of anti-urease antibodies and the Delta Over Baseline (DOB) values of the ¹³C-UBT. The results also indicated that Hp-infected patients exhibited more pronounced gastric lesions, while cases with Type I Hp infection did not. Conclusions: In patients without a history of Hp eradication, the consistency between the Hp-sATT and ¹³C-UBT is moderate. However, Hp eradication therapy can reduce the consistency of the test results. When screening for Hp infection using the Hp-sATT, it is necessary to consider the patient’s history of Hp eradication. Full article

Background: Interventional physiatry is a branch of medicine that uses minimally invasive ultrasound-guided techniques for diagnosis and treatment in the musculoskeletal system. The aim of this scoping review is to investigate the sterilisation techniques used and the rate of infection with ultrasound-guided injections. Methods: PubMed was searched up to 30 September 2024 using the following search terms (“Ultrasound, Interventional”[mesh]) AND “Injections, Intra-Articular”[mesh]; “Ultrasound-guided intra-articular injection”. The inclusion criteria were randomised clinical trials, written in English, involving US-guided mini-invaexercissive procedures. Results: The search identified a total of 256 potentially relevant publications. After screening for duplication, inclusion, and exclusion criteria, 105 articles were eligible for data extraction. In 51 studies, the method of skin disinfection was not specified, 18 RCT reported a ’sterile condition’, 9 studies used povidone–iodine solution, 5 used alcohol, and 2 used chlorhexidine 0.5%. In 64 trials, the method of probe preparation was not specified, 11 trials described the use of sterile gel, 10 trials reported the use of a probe cover, sterile pad, or barrier, and 2 trials reported the use of chlorhexidine 0.5%; 41 studies reported mild adverse events and 4 serious adverse events. Conclusions: Taken together, the findings of this scoping review did not show a clear relationship between current sterilisation protocols and the prevention of the microbial contamination of the probes or the patient’s skin. The variation in protocols highlights the need for standardised guidelines and more rigorous studies to accurately determine the most effective disinfection practices. Full article

Endoscopic full-thickness resection (EFTR) has emerged as a transformative technique for managing gastrointestinal (GI) lesions, previously deemed unsuitable for endoscopic removal. Unlike conventional endoscopic resection methods, such as endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD), EFTR enables en bloc excision of both intraluminal and subepithelial lesions by resecting all layers of the GI wall, followed by defect closure to prevent complications. The introduction of the full-thickness resection device (FTRD^®) has significantly enhanced the feasibility and safety of EFTR, particularly in the colon and upper GI tract, with increasing adoption worldwide. This review provides a comprehensive analysis of FTRD^®, focusing on its clinical applications, procedural methodology, and comparative efficacy against other endoscopic resection techniques. The indications and contraindications for EFTR are explored, highlighting its utility in treating non-lifting adenomas, subepithelial tumours, and T1 carcinomas without lymph node involvement. This review synthesizes current clinical data and FTRD^® advantages. Despite its strengths, EFTR via FTRD^® incorporates challenges such as limitations in lesion size, procedural complexity, and potential adverse events. Strategies for overcoming these challenges, including hybrid techniques and modifications in procedural approach, are examined. The review also emphasizes the need for further research to optimize surveillance strategies and determine the long-term clinical impact of EFTR in GI lesion management. By integrating recent evidence, this paper provides valuable insights into the evolving role of EFTR in therapeutic endoscopy. Full article

Background: Aplastic anemia (AA) is a rare bone marrow failure syndrome characterized by notably short telomere length, which is associated with treatment responses. In this study, we measured telomere lengths in Korean pediatric AA patients using flow-fluorescence in situ hybridization (Flow-FISH) and explored their shortening in relation to disease characteristics, genetic conditions and patient outcomes. Methods: We analyzed peripheral blood samples from 75 AA patients and 101 healthy controls. Telomere lengths were measured using Flow-FISH, and relative telomere length (RTL) and delta RTL assessments were conducted. Genetic evaluations included karyotyping, chromosome breakage tests and clinical exome sequencing (CES) to identify inherited bone marrow failure syndrome (IBMFS)-associated genetic variants. Results: Telomere lengths in AA patients were significantly lower than those of age-adjusted healthy controls. Patients receiving immunosuppressive therapy tended to have long telomeres, as indicated by high delta RTL values. Patients with genetic abnormalities, including karyotype abnormalities (n = 2) and genetic variants (n = 11) such as carrier genes of IBMFS or variants of unclear significance, showed significantly short telomere lengths. Conclusions: This study reinforces the importance of telomere length as a biomarker in acquired AA. Utilizing Flow-FISH, we were able to accurately measure telomere lengths and establish confidence in this method as an appropriate laboratory test. We found significant reduction in telomere lengths in AA patients, and importantly, longer telomeres were correlated with better outcomes in immunosuppressive therapy. Additionally, our genetic analysis underscored the relevance of variants in IBMFS-associated genes to the pathophysiology of short telomeres. Full article

Background/Objectives: This study aimed to create a pipeline for standardized data extraction from lumbar-spine MRI radiology reports using a large language model (LLM) and assess the agreement of the extracted data with research-grade semi-quantitative scoring. Methods: We included a subset of data from a multi-site NIH-funded cohort study of chronic low back pain (cLBP) participants. After initial prompt development, a secure application programming interface (API) deployment of OpenAIs GPT-4 was used to extract different classes of pathology from the clinical radiology report. Unsupervised UMAP and agglomerative clustering of the pathology terms’ embeddings provided insight into model comprehension for optimized prompt design. Model extraction was benchmarked against human extraction (gold standard) with F1 scores and false-positive and false-negative rates (FPR/FNR). Then, an expert MSK radiologist provided comprehensive research-grade scores of the images, and agreement with report-extracted data was calculated using Cohen’s kappa. Results: Data from 230 patients with cLBP were included (mean age 53.2 years, 54% women). The overall model performance for extracting data from clinical reports was excellent, with a mean F1 score of 0.96 across pathologies. The mean FPR was marginally higher than the FNR (5.1% vs. 3.0%). Agreement with comprehensive scoring was moderate (kappa 0.424), and the underreporting of lateral recess stenosis (FNR 63.6%) and overreporting of disc pathology (FPR 42.7%) were noted. Conclusions: LLMs can accurately extract highly detailed information on lumbar spine imaging pathologies from radiology reports. Moderate agreement between the LLM and comprehensive scores underscores the need for less subjective, machine-based data extraction from imaging. Full article

Background/Objectives: Although transformer-based deep learning architectures are preferred in many hybrid architectures due to their flexibility, they generally perform poorly on image classification tasks with small datasets. An important improvement in performance when transformer architectures work with limited data is the use of distillation techniques. The impact of distillation techniques on classification accuracy in transformer-based models has not yet been extensively investigated. Methods: This study investigates the impact of distillation techniques on the classification performance of transformer-based deep learning architectures trained on limited data. We use transformer-based models ViTx32 and ViTx16 without distillation and DeiT and BeiT with distillation. A four-class dataset of brain MRI images is used for training and testing. Results: Our experiments show that the DeiT and BeiT architectures with distillation achieve performance gains of 2.2% and 1%, respectively, compared to ViTx16. A more detailed analysis shows that the distillation techniques improve the detection of non-patient individuals by about 4%. Our study also includes a detailed analysis of the training times for each architecture. Conclusions: The results of the experiments show that using distillation techniques in transformer-based deep learning models can significantly improve classification accuracy when working with limited data. Based on these findings, we recommend the use of transformer-based models with distillation, especially in medical applications and other areas where flexible models are developed with limited data. Full article

Background/Objectives: Periodontitis is an inflammatory disease associated with many systemic disorders such as diabetes and cardiovascular disease. The aim was to evaluate the usefulness of the CDC/AAP and the EFP/AAP criteria to detect subclinical atherosclerosis in subjects with diabetes and severe periodontal disease. Methods: This was a cross-sectional study. Atheroma plaque was evaluated by high-resolution carotid and femoral ultrasonography. A dental examination protocol was implemented by a trained periodontist. A full-mouth periodontal clinical examination was carried out at six sites by automated computerized Florida Probe Periodontal Probing. Periodontal disease was defined by CDC/AAP and EFP/AAP criteria. Results: In total, 98 patients were included (60.2% women), of which 50% had diabetes. Subjects with diabetes showed a high prevalence of severe cases of periodontal disease. Both criteria were useful to detect the presence of atheroma plaque only in the presence of diabetes. However, the CDC/AAP criteria had higher correlation with atheroma plaques than EFP/AAP criteria (r = 0.522 vs. r = 0.369, p < 0.001). Conclusions: The CDC/AAP and the EFP/AAP criteria are a useful tool to identify subclinical atherosclerosis in subjects with severe periodontal disease and diabetes. These results show the potential role of the oral healthcare team in the dental office for the identification of subjects with diabetes at risk of developing cardiovascular disease. Full article

Background/Objectives: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection. Methods: This study introduces and evaluates the Nuclear Reaction Optimization (NRO)—drawing inspiration from nuclear fission and fusion—for identifying informative gene subsets in six benchmark cancer microarray datasets. Employed as a standalone approach without prior dimensionality reduction, NRO was assessed using both Support Vector Machine (SVM) and k-Nearest Neighbors (k-NN). Leave-One-Out Cross-Validation (LOOCV) was used to rigorously evaluate classification accuracy and the relevance of the selected genes. Results: Experimental results show that NRO achieved high classification accuracy, particularly when used with SVM. In select datasets, it outperformed several state-of-the-art optimization algorithms. However, due to the absence of additional dimensionality reduction techniques, the number of selected genes remains relatively high. Comparative analysis with Harris Hawks Optimization (HHO), Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Firefly Algorithm (FFA) shows that while NRO delivers competitive performance, it does not consistently outperform all methods across datasets. Conclusions: The study concludes that NRO is a promising gene selection approach, particularly effective in certain datasets, and suggests that future work should explore hybrid models and feature reduction techniques to further enhance its accuracy and efficiency. Full article

Background/Objectives: This study aims to determine the validity of a recently developed and published index (the modified Composite Radiographic Index—CRIm) as an indicator of disease gravity and progression in the CBCT scans of patients with medication-related osteonecrosis of the jaw (MRONJ) and to detect possible correlations between the radiologic findings and clinical staging of the disease. Methods: This study included 43 MRONJ patients with CBCT scans from the School of Dentistry of National and Kapodistrian University of Athens, approved by the Research Ethics Committee. Clinical staging (0–3) was provided based on AAOMS 2022 guidelines. A total of 52 CBCT scans were analyzed, with maxillae and mandibles evaluated separately when both were involved. Two independent observers assessed eight radiologic features, including lytic changes, sclerosis, periosteal reaction, sequestration, non-healing extraction sockets, and other findings (sinus involvement, inferior alveolar canal involvement, and jaw fracture). The CRIm was applied to quantify osseous changes, scoring each feature (0 (absent), 1 (localized/single), 2 (extensive/multiple)), yielding a range of 0–12. For the statistical analysis, Fisher’s exact test and Spearman’s correlation coefficient were used. Results: Clinical Stage 1 consisted of 19 jaws, Stage 2 consisted of 16 jaws, and Stage 3 consisted of 17 jaws. No affected jaws were recorded with Stage 0. A statistically significant correlation between the clinical stage and lytic changes, sequestration, and inferior alveolar canal involvement was found (p-value < 0.05). Extensive lytic changes, sclerosis, sequestration, periosteal bone formation, and inferior alveolar canal involvement were mostly observed in clinical Stage 3. Furthermore, a statistically significant correlation between clinical stage and CRIm classification was found (rho = 0.446; p-value < 0.001). Conclusions: The CRIm tends to increase as the clinical stages of MRONJ advance, suggesting a correlation between them. Full article

Background: The temporal bone’s styloid process (SP) is an important structure that extends from the skull base to the parapharyngeal space. The stylohyoid ligament (SHL) attaches it to the hyoid bone. The SP and SHL are considered the stylohyoid chain (SHC) components. The SP’s close relationship with vital head and neck structures has important clinical implications. Specifically, SP and SHC variants are linked with clinical conditions. Therefore, adequate knowledge of these variations is of paramount importance. Methods: Using the latest guidelines, a systematic literature review was performed in four online databases (PubMed, Google Scholar, Scopus, and Web of Science) to identify studies referring to the SP’s typical anatomy and possible SHC morphological variants. The meta-analysis was conducted using R programming software to calculate the prevalence of typical anatomy and possible variants and the pooled mean length of the SP. Results: A total of 104 studies were included, with a total sample of 136,010 heminecks. The typical SP (under 30 mm) was estimated to have a pooled prevalence of 74.97%. SP elongation was observed in 25.03%. The subgroup analysis identified significant differences based on the study type, with computed tomography (CT) studies having the highest pooled prevalence. The SP length was calculated to have a pooled mean of 28.91 mm. For SHC ossification, the pseudo-articulated type was identified to have a pooled prevalence of 4.39%, and that of the segmented type was detected to be 3.89%. The geographical distribution and study type affected the estimated pooled prevalence. Conclusions: The current evidence-based systematic review with meta-analysis investigated the SHC’s typical anatomy and possible variants. The elongated SP pooled prevalence of 25.03% indicates that it is not a rare variant, and CT is the optimal method to investigate such a variant. These details demonstrated by the current meta-analysis could be of importance for clinicians. Full article

Background and Clinical Significance: Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract but are exceedingly rare in the appendix, with only 20 cases reported in the literature. Due to their rarity, clinical behavior, histopathologic features, and management of appendiceal GISTs remain poorly understood. Case Presentation: We present the case of a 74-year-old man who underwent a right hemicolectomy for colonic adenocarcinoma, during which an incidental 1.2 cm appendiceal GIST was discovered. Histopathological examination revealed spindle cell morphology with abundant skeinoid fibers (SF), minimal mitotic activity (<1/50 HPF), and no nuclear atypia. Immunohistochemical staining confirmed positivity for CD117, DOG1, and CD34. The tumor was classified as low risk based on its size and mitotic count, and the patient remained recurrence-free at a 4-month follow-up. Conclusions: Our case expands the limited literature on appendiceal GISTs by demonstrating their histopathological and immunohistochemical features, favorable prognostic outcomes, and potential for incidental detection during surgeries for unrelated conditions. However, additional studies are needed to further elucidate their molecular characteristics and overall clinical behavior. Full article

Background/Objectives: Prostate cancer (PCa) is a leading cause of cancer-related deaths among men, with early detection playing a crucial role in improving outcomes. MyProstateScore 2.0 (MPS2), a novel urinary biomarker test, predicts clinically significant PCa to reduce invasive biopsy procedures. This study evaluates the analytical performance of MPS2 using both a post-digital rectal exam (DRE) and non-DRE urine samples. Methods: We assessed the reproducibility, precision, and detection limits of the eighteen MPS2 analytes. Analytical parameters including the linear range, upper and lower limits of quantification (ULOQ and LLOQ), and interference from substances commonly present in urine were evaluated. The reproducibility of the MPS2 scores was evaluated across post-DRE and non-DRE clinical urine samples. Results: MPS2 analytes demonstrated high linearity (R² ≥ 0.975) across defined quantification ranges, with PCR efficiencies of 97–105%. The limits of detection (LOD) ranged from 40 to 160 copies/reaction, while the ULOQ was determined to be 10⁶–10⁷ copies/reaction for each analyte. Precision studies showed intra-run, inter-run, and inter-instrument standard deviations ≤0.5 Crt. Among the 12 potential interfering substances, only whole blood affected the performance of MPS2. The reproducibility of the MPS2 scores was consistent across post-DRE and non-DRE urine samples, meeting the acceptance criteria. Conclusions: The analytical validation confirms that MPS2 is robust and reliable in detecting biomarkers for clinically significant PCa. These findings, coupled with previous clinical validations, support the clinical use of MPS2 as a non-invasive diagnostic tool. Full article