Cureus最新文献

Myasthenia gravis (MG) is an autoimmune condition characterised by muscle weakness due to antibodies produced against post-synaptic receptors. The impact of MG can be significant, especially with an ageing population. Human leukocyte antigens (HLA) are polymorphic genes associated with autoimmune conditions. Establishing the HLA alleles associated with MG may aid in the diagnosis, screening and early management of individuals at risk of MG. This research aims to establish the class II HLA alleles associated with the prevalence of MG in various regions of the world and identify the alleles that could predispose to the condition. A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart and various databases including, Scopus and PubMed as well as other sources were used to find appropriate papers on HLA class II alleles associated with MG and the prevalence of MG in various countries. The frequency of selected HLA alleles in selected regions were obtained from the website, allelefrequencies.net. From this, a correlation coefficient and p-value were calculated to investigate whether the frequency of MG and the prevalence of HLA alleles had a significant association.  The results highlighted two HLA alleles, DRB1*04:04 and DRB1*03, to have a significant positive association with the prevalence of MG. The frequency of the alleles showed regional variation, with European countries, particularly Northern Europe, exhibiting the highest frequencies. A significant positive correlation between HLA-DRB1*04:04 and DRB1*03 showed with the prevalence of MG, highlighting these alleles as a possible cause of the disease. Screening for these alleles, particularly in Northern Europe, may help identify individuals susceptible to MG.

Given that glioblastoma (GBM), meningioma (Mg), and dural arteriovenous fistula (dAVF) represent angiogenic diseases mainly caused by vascular endothelial growth factor (VEGF), bevacizumab (Bev) is expected to be effective against these diseases. We report a patient with concomitant GBM, Mg, and dAVF who was treated with neoadjuvant Bev, resulting in a reduction in the volume of GBM along with an improvement of clinical symptoms. An 85-year-old male presented with aphasia, gait disturbance, and dementia. Magnetic resonance imaging (MRI) showed a ring-enhanced intra-axial tumor with perifocal edema in the left temporal lobe, a dura-attached extra-axial tumor at the left sphenoid ridge, and dAVF at the left transverse-sigmoid sinus. Due to the age of the patient and low Karnofsky Performance Status (KPS) score, pharmacotherapy with a single dose of Bev was chosen over surgical resection. Three days after the Bev administration, aphasia and gait disturbance had dramatically improved. Volume reduction rates at one and five months after three administrations of Bev were 0.34% and 95.9% for GBM and 13.7% and 6.8% for meningioma, respectively. No significant change in dAVF was seen on digital subtraction angiography (DSA) during Bev therapy. VEGF concentration in GBM is known to be the highest among all types of brain tumors, including meningioma. VEGF might not play a pivotal role in the pathogenesis of dAVF. Based on this evidence from the present rare case with concomitant GBM, meningioma, and dAVF, responsiveness to Bev might depend on the level of VEGF expression.

The incidence of melanoma, the most aggressive form of skin cancer, continues to rise globally, particularly among fair-skinned populations (type I and II). Early detection is crucial for improving patient outcomes, and recent advancements in artificial intelligence (AI) have shown promise in enhancing the accuracy and efficiency of melanoma diagnosis and management. This review examines the role of AI in skin lesion diagnostics, highlighting two main approaches: machine learning, particularly convolutional neural networks (CNNs), and expert systems. AI techniques have demonstrated high accuracy in classifying dermoscopic images, often matching or surpassing dermatologists' performance. Integrating AI into dermatology has improved tasks, such as lesion classification, segmentation, and risk prediction, facilitating earlier and more accurate interventions. Despite these advancements, challenges remain, including biases in training data, interpretability issues, and integration of AI into clinical workflows. Ensuring diverse data representation and maintaining high standards of image quality are essential for reliable AI performance. Future directions involve the development of more sophisticated models, such as vision-language and multimodal models, and federated learning to address data privacy and generalizability concerns. Continuous validation and ethical integration of AI into clinical practice are vital for realizing its full potential for improving melanoma diagnosis and patient care.

Background Point-of-care lung ultrasound (LUS) is a guideline-recommended imaging modality that has been shown to be more accurate than chest radiography for multiple causes of dyspnea. This study was conducted to understand the impact of LUS on real-world clinical decision-making among hospitalists. Methods  A retrospective chart review was conducted of patients who received a LUS while hospitalized at a quaternary care academic medical center between July 2020 and June 2022. Data was extracted from the electronic health record (EHR) into a standardized REDCap form. Cases were defined as patients who had received a LUS that (1) had images archived and accessible to viewing through the EHR and (2) had an imaging report documented in the EHR. Results Of the 820 LUSs reviewed, 297 (36.2%) were performed to evaluate for appropriateness of thoracentesis, 205 (25%) for diagnosing or monitoring of pneumonia related to COVID-19, 169 (20.6%) for volume status assessment, 136 (16.6%) for worsening respiratory status, 114 (13.9%) for monitoring pleural effusions, 64 (7.8%) for diagnosing or monitoring of pneumonia not related to COVID-19, and 12 (1.5%) for monitoring of diuresis. Documentation was sufficient to determine clinical decision-making in 730 (89%) of LUSs reviewed, 739 (90.1%) were considered to be diagnostically useful, and 327 (39.9%) changed management. Conclusions These findings suggest LUS was diagnostically useful and routinely changed management in hospitalist practice. Further, documentation in the EHR was sufficient to allow for the evaluation of real-world clinical decision-making using LUS, which is an important gap in both the education and health services research literature.

Desmoplastic small round cell tumor (DSRCT) is a rare and highly aggressive soft tissue tumor that predominantly affects the abdominal and pelvic regions of adolescent males. This case report presents our clinical experience of treating a 33-year-old male with multifocal peritoneal DSRCT using fan beam computed tomography-guided adaptive radiotherapy (FBCT-gART). The patient presented with abdominal pain and was diagnosed with DSRCT following imaging and biopsy. Despite initial treatment with surgery, chemotherapy, and targeted therapy, the patient experienced multifocal peritoneal recurrence. Due to the considerable mobility of the abdominal tumors and the associated risks to adjacent critical organs, the patient underwent daily online FBCT-gART. The prescribed dose regimen was 54 Gy delivered in 27 fractions at 2 Gy per fraction; however, the patient ultimately received only 25 treatments for personal reasons. This case report evaluates the technical workflow of using FBCT-gART for DSRCT and discusses its dosimetric advantages over non-adaptive radiotherapy.

The etiology of venous thromboembolism is multifactorial, with causes being classified as either provoked or unprovoked, making it difficult to attribute a single factor as the cause of the thromboembolic event in most cases. The relationship between inflammation and thrombotic phenomena is well established. Here, we describe the uncommon occurrence of thromboses in a previously healthy patient with acute toxoplasmosis. The patient initially presented with fatigue, abdominal pain, fever and dyspnea. The diagnosis was confirmed through toxoplasmosis serology in a set of admission laboratory tests, and further imaging studies revealed the presence of pulmonary embolism and portal vein thrombosis. The patient was treated with anticoagulants and sulfamethoxazole-trimethoprim, showing improvement in the following days. This case highlights the importance of considering infectious diseases, such as toxoplasmosis, in the differential diagnosis of thrombosis, even in previously healthy individuals. To our knowledge, this is the second reported case of this association in Brazil.

Introduction Prolonged standing during surgery is a cause of musculoskeletal disorders in surgeons. Wearable chairs have reportedly reduced musculoskeletal strain effectively when used in industry. However, discomfort and instability issues may remain. This study examines whether using a wearable chair for surgical procedures imposes negative effects, such as mental or physical strain on surgeons prior to its clinical implementation. Methods This prospective cross-over study compared mental strain and subjective sensations in simulated suturing tasks with and without using Archelis®, a wearable chair (Archelis Inc, Yokohama, Japan). Six surgeons participated in the study. Mental strain was examined using heart rate variations calculated during tasks. Four subjective sensations (fatigue, comfort, balance, and workability) after each task and differences in body localized pain pre- and post-task were compared using a 10 centimetres (cm)-visual analog scale (VAS) score questionnaire. Results Results showed no significant differences in mental strain nor subjective sensations with or without the wearable chair. The mean VAS scores for all four subjective sensations with the wearable chair were relatively positive. There was a slight yet insignificant post-task increase in VAS mean scores for body-localized pain in the lower legs. Conclusions Significant negative effects on surgeons from the wearable chair were not observed during simulated suturing procedures. This demonstrates no major barriers in the initial phases of wearable chairs integration into the surgery environment.

Breast tissue markers are essential in localising tumours post-neoadjuvant chemotherapy prior to breast-conserving surgery. However, due to the advancement in neoadjuvant therapies, greater efficacy in reducing tumour size increases the possibility of marker migration, potentially compromising surgical outcomes. We report a case of a 34-year-old woman with left breast invasive carcinoma, where the tissue marker, placed under ultrasound guidance before chemotherapy, migrated and was undetectable after eight chemotherapy cycles. The delay in surgery was resolved by identifying the marker in the left pectoral muscle using CT, though proximity to the lung prevented hook wire placement. Proposed migration mechanisms include the "accordion effect" and haematoma-induced displacement, highlighting the dynamic nature of breast tissue. Various imaging modalities, such as mammography, ultrasound, and CT, have proven helpful for marker localisation. This case underscores the need for a deeper understanding of tissue dynamics and emphasises interdisciplinary communication to adapt treatment strategies. As medical knowledge continues to evolve, insights are needed to refine best practices in breast cancer management and radiological interventions.

This study introduces a novel methodology for enhancing intelligent tutoring systems (ITS) through the integration of generative artificial intelligence (GenAI) and specialized AI agents. We present a proof of concept (PoC) demo that implements a dual-layer GenAI validation approach that utilizes multiple large language models to ensure the reliability and pedagogical integrity of the AI-generated content. The system features role-specific AI agents, a GenAI-powered scoring mechanism, and an AI mentor that provides periodic guidance. This approach demonstrates capabilities in dynamic scenario generation and real-time adaptability while addressing key challenges in AI-driven education, such as personalization, scalability, and domain-specific knowledge integration. Although exemplified here through a case study in healthcare root cause analysis, the methodology is designed for broad applicability across various fields. Our findings suggest that this approach has significant potential for advancing adaptive learning and personalized instruction while raising important considerations regarding ethical AI application in education. This work provides a foundation for further research into the efficacy and impact of GenAI-enhanced ITS on learning outcomes and instructional design across diverse educational domains.

The orthotopic ileal neobladder is becoming a popular technique of urinary diversion after radical cystectomy (RC) for localized muscle-invasive bladder cancer (MIBC), allowing patient continence, with a more desirable body image and good quality of life. Minimally invasive robot-assisted RC and neobladder have the potential to minimize physical and psychological trauma and are increasingly being adopted for patients with MIBC worldwide. Spontaneous perforation of orthotopic neobladder is uncommon;however, it represents serious complications. Solitary binge drinking can be dangerous in a patient with a neobladder because of reduced level of consciousness and overdistension of the neobladder. We report a case of spontaneous ileal neobladder perforations one year post-robotic RC secondary to blackouts from binge drinking. We also describe nonoperative active management and review the literature. A 66-year-old gentleman was brought by ambulance to our emergency department with a reduced level of consciousness, vomiting, and abdominal pain in the early hours of the morning. Collateral history revealed that he had drunk alcohol alone the night before at his home where he lives alone. Initial examination revealed tachycardia and hypotension. Immediate resuscitation using the sepsis six protocol included intravenous normal saline, blood culture, broad-spectrum antibiotic, lactate measurement, and insertion of a urethral catheter to monitor urine output. Following contrast-enhanced computed tomography (CECT) of the abdomen and pelvis, the patient was referred to a urologist. A diagnosis of spontaneous perforation of the neobladder was made. A nonoperative or 'conservative' management approach was adopted with careful active monitoring at the intensive care unit (ICU) involving a multidisciplinary team. Follow-up CT was performed to assess radiological recovery. The patient recovered successfully and was discharged home five weeks post-admission with an indwelling urethral catheter. The catheter was removed 10 weeks post-admission following a cystogram confirming the integrity of the neobladder. The patient has preserved neobladder function and continence and is doing well until the last follow-up at six months post-discharge. Patients with neobladder should be rigorously counseled about the importance of timed voiding, intermittent self-catheter, serious consequences of solitary binge drinking, and urinary retention.