Citations

BACKGROUND: This individual participant data meta-analysis aimed to determine whether time to treatment influences the effect of intraarterial thrombolysis (IAT), intravenous thrombolysis, and conservative standard therapy on visual outcomes in nonarteritic central retinal artery occlusion. METHODS: We searched MEDLINE, CENTRAL, and Embase up to June 2023 for studies reporting treatment modality and peri-treatment best-corrected visual acuity (BCVA) for ≥5 participants, excluding patients with nonsevere vision loss (BCVA <1.0 logarithm of the minimum angle of resolution [logMAR]) or treated after 24 hours of symptom onset. The primary outcome was recovery from severe vision loss (final BCVA <1.0 logMAR). We used mixed-effect models and local polynomial regression to investigate nonlinear relationships between time to treatment and recovery from severe vision loss. RESULTS: Of 4074 screened studies, individual participant data were sought from 52, with 35 contributing individual participant data for 1038 participants. In total, 783 patients met inclusion criteria (age, 64.8±13.3 years; 35.5% female; baseline BCVA, 2.3±0.5 logMAR). For every hour decrease in time to treatment, thrombolysis was associated with greater improvement in BCVA (intraarterial, 0.02 logMAR [95% CI, 0–0.04]; intravenous, 0.04 logMAR [95% CI, 0.00–0.07]) than conservative standard therapy (0.01 logMAR [95% CI, 0–0.02]). A nonlinear relationship was detected for intraarterial thrombolysis with a changepoint at 8 hours (95% CI, 6.7–9.4). Thrombolysis was associated with increased recovery from severe vision loss compared with conservative standard therapy (intraarterial within 6 hours: odds ratio, 2.72 [95% CI, 1.02–7.28], 27.2% versus 12.0%; intravenous within 4.5 hours: odds ratio, 3.32 [95% CI, 1.24–8.92], 28.8% versus 11.1%). Findings were consistent in subgroup analysis restricted to patients receiving recombinant tissue-type plasminogen activator. Monte-Carlo simulations showed that a randomized controlled trial would require 95 participants per group to achieve 80% power to detect an odds ratio of 3.0 for recovery from severe vision loss. CONCLUSIONS: Early intervention in nonarteritic central retinal artery occlusion is associated with improvement in visual recovery, with intraarterial thrombolysis and intravenous thrombolysis outperforming nonthrombolytic treatments. These findings warrant confirmation in sufficiently powered randomized controlled trials.

This case describes a 74-year-old woman who developed post-surgical acute respiratory distress syndrome (ARDS) after Photodynamic Bone Stabilization System (PBSS) a balloon rupture with extravasation of approximately 20 mL of monomeric resin. The ARDS likely resulted from 2 possibilities: (1) displacement of fat or tumor embolism from PBSS insertion/inflation, displacement from bioinert monomers, or orthopedic screws; or (2) chemical inflammation/pneumonitis due to intravascular dissemination of bioinert monomeric resin. Though balloon rupture and/or fat embolism is a stated manufacturer risk, (IlluminOss. Accessed May 19, 2025. https://illuminoss.com/uploads/nuggets/60e47f517ee33862a5fcaab8/900356_T.pdf) this is the first published human case report of ARDS as a complication of PBSS balloon rupture.

Background: Acute disseminated encephalomyelitis (ADEM) is a demyelinating syndrome observed in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) but there are limited data on application of this definition to its cerebral attacks or in adults with this disease. Methods: We analyzed patients from the Mayo Clinic MOGAD cohort ( n = 263) with cerebral attacks. We assessed whether children (<18 years-old) and adults (⩾18 years-old) fulfilled the 2013 ADEM definition. Results: We identified 89 patients (children, 34; adults, 55) and 55/89 (62%) were of female sex. Acute magnetic resonance imaging (MRI) abnormalities included: poorly demarcated T2 lesions (white matter, 85 (96%); deep gray matter, 41 (46%); T1-hypointense lesions (42 (47%)). Forty-two patients did not fulfill the ADEM definition due to: monofocal syndrome, 9; or no encephalopathy, 33. The remaining 47 patients (53%: children, 27/34 (79%); adults, 20/55 (36%)) fulfilled the ADEM definition, and 14 had preceding attacks, and 34 had subsequent attacks relative to ADEM episode. The features in children and adults with ADEM were broadly comparable. Conclusion: Applying the ADEM definition to MOGAD cerebral attacks highlighted that an update of the 2013 ADEM definition would be beneficial and could explicitly state its application to both adults and children and allow it to be applied to attacks at any time during the disease course.

Seronegative neuromyelitis optica spectrum disorder (NMOSD) is a diagnostic challenge. This study aimed to characterize misapplication of the 2015 international criteria for seronegative NMOSD. We reviewed 35 consecutive seronegative NMOSD referrals to a tertiary center. Two (6%) met formal criteria, and 2 (6%) were clinically suspected of NMOSD without fulfilling radiologic supportive criteria. Alternative diagnoses were common including multiple sclerosis (37%), optic neuritis (14%), functional neurologic disorder (11%), and other (38%). Immunosuppression with rituximab was used in 3 of 4 patients with functional neurologic disorder. Misapplication of the 2015 criteria is common, and alternative explanations in seronegative NMOSD patients should be strongly considered.

BACKGROUND AND OBJECTIVES: Single-session stereotactic radiosurgery (SRS) has limited role for large arteriovenous malformations (AVM). Volume-staged SRS (VS-SRS) is used to optimize outcomes, but studies reporting results are limited. METHODS: This multicenter retrospective cohort of 378 patients from 21 centers reports results of VS-SRS for the entire AVM nidus. We report favorable outcome, obliteration, hemorrhage, and permanent symptomatic adverse radiation effect rates. RESULTS: The median age was 31 years (IQR: 19-44) at the first volume stage, with patients treated in 2–4 stages. The median total nidus volume was 21 cm 3 (IQR: 13.9-30.1 cm 3 ), and a median prescription dose of 17 Gy (IQR: 16-18 Gy) was used. The median radiographic and clinical follow-up were 48 and 55 months, respectively. Seventy-seven patients (20.4%) had a favorable outcome, with the 3-year and 5-year rates being 3.9% and 18%, respectively. 127 patients (33.6%) achieved obliteration, with the 3-year and 5-year rates being 6.8% and 26%, respectively. Obliteration rates of AVMs <15 cm 3 were 81% and 31%, respectively. The latency period hemorrhage incidence rate was 3.02 cases per 100 patient-years; 52 patients (13.8%) had a bleed. Seventy-two patients (19%) had symptomatic adverse radiation effect; in 38 patients (10.1%), these were permanent. Total nidus volume, prescription dose at first stage, diffuse nidus, and prior hemorrhage were all independent affecting outcome rates. CONCLUSION: VS-SRS can be used to treat large AVMs as a standalone treatment. Obliteration rates and favorable outcomes are lower than that with smaller AVMs, and repeat treatment is often required. Optimizing treatment plans, by increasing prescription doses, reducing treatment volume at each stage, and increasing the number of stages, may lead to better outcomes.

The objective is to create an automated knowledge extraction tool for cancer research that builds high-quality academic corpora for LLM fine-tuning while investigating its effectiveness in interleukin-6 and bladder cancer domains. To address the current gap in knowledge retrieval techniques for cancer research data collection, we propose KnowledgePipeline, a novel automated tool that incorporates diverse aspects of academic papers and metadata. Our tool integrates content, co-citations, and co-authorship networks to construct domain-specific academic corpora suitable for fine-tuning LLMs. We leverage two LLMs (GPTJ-6.7B and Galactica30B) trained on domain-specific question-answer pairs from the refined data. The system’s evaluation focuses on both the quality of extracted knowledge and the performance of fine-tuned models in open-ended question-answering tasks. We see that KnowledgePipeline offers a scalable, automated framework for domain-specific knowledge retrieval and fine-tuned applications in cancer research, advancing literature discovery and addressing critical biomedical challenges. It achieved high relevance scores of 68% for IL-6 and 74.5% for bladder cancer, with a fine-tuned Galactica-30B model demonstrating promising capabilities.

Effective healthcare referral triage poses a significant challenge, especially extracting referral notes on time for scheduling. To offset this issue, this study aims to develop an optimized Random Forest classifier to recreate the referral notes content and identify patients requiring Spinal Cord Stimulation procedures. A performance index was introduced to improve accuracy, while a consistency index was designed to prevent overfitting. The optimized classifier, with the optimal selection at the number of estimates being 5 trees and tree depth being 4, achieved an accuracy of 0.74 with a lower standard deviation, demonstrating its reliability and effectiveness.

Abstract Background Patients with short bowel syndrome–associated intestinal failure (SBS‐IF) require complex, personalized, and multidisciplinary care; however, there are disparities in access. This study measured the impact of unmet needs and treatment burden among patients and their caregivers. Methods This cross‐sectional, mixed‐method study included US adults self‐reporting SBS‐IF and receiving home parenteral nutrition for ≥6 months and their caregivers. One‐hour interviews informed the development of a 30‐min survey administered to participants from an online health community. Results Among 68 patients, the mean age was 42 years, 79% were female, and 88% were White. Most of the 16 caregivers were female (69%), and younger than 45 years (69%). Of 32 patients (47%) receiving care from an SBS specialist, only 19 (59%) were referred after diagnosis; in 58% of these, referral occurred >6 months after diagnosis. Depression was reported in 44 patients (65%), with 54% not receiving professional mental health care. Financial concerns were common, with 44 patients (65%) unable to work and 40 patients (59%) reporting annual household income of <$50,000. Of 32 patients reporting difficulty paying medical bills, 22 (32%) could not fill prescriptions and 19 (28%) canceled/delayed healthcare provider visits. Social determinant of health challenges were reported by 44 patients (65%). Caregivers' responsibilities impacted their ability to work (50%) and future outlook (63%). Conclusion Patients with SBS‐IF face difficulties accessing specialized healthcare, and are at risk of adverse healthcare outcomes, financial hardships, and poor quality of life. Mental health and work/financial issues were common among both patients and caregivers.

Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The complexity of tumor delineation, crucial for radiation therapy, requires expertise often unavailable in resource-limited settings. Artificial Intelligence (AI), particularly with advancements in deep learning (DL) and natural language processing (NLP), offers potential solutions yet is challenged by high false positive rates. Purpose: The Oncology Contouring Copilot (OCC) system is developed to leverage oncologist expertise for precise tumor contouring using textual descriptions, aiming to increase the efficiency of oncological workflows by combining the strengths of AI with human oversight. Methods: Our OCC system initially identifies nodule candidates from CT scans. Employing Language Vision Models (LVMs) like GPT-4V, OCC then effectively reduces false positives with clinical descriptive texts, merging textual and visual data to automate tumor delineation, designed to elevate the quality of oncology care by incorporating knowledge from experienced domain experts. Results: The deployment of the OCC system resulted in a 35.0% reduction in the false discovery rate, a 72.4% decrease in false positives per scan, and an F1-score of 0.652 across our dataset for unbiased evaluation. Conclusions: OCC represents a significant advance in oncology care, particularly through the use of the latest LVMs, improving contouring results by (1) streamlining oncology treatment workflows by optimizing tumor delineation and reducing manual processes; (2) offering a scalable and intuitive framework to reduce false positives in radiotherapy planning using LVMs; (3) introducing novel medical language vision prompt techniques to minimize LVM hallucinations with ablation study; and (4) conducting a comparative analysis of LVMs, highlighting their potential in addressing medical language vision challenges.