Citations

AbstractObjectiveEpilepsy is a debilitating disorder affecting more than 50 million people worldwide, and one third of patients continue to have seizures despite maximal medical management. If patients' seizures localize to a discrete brain region, termed a seizure onset zone, resection may be curative. Localization is often confirmed with stereotactic electroencephalography; however, this may require patients to stay in the hospital for weeks to capture spontaneous seizures. Automated localization of seizure onset zones could therefore improve presurgical evaluation and decrease morbidity.MethodsUsing more than 1 000 000 interictal stereotactic electroencephalography segments collected from 78 patients, we performed five‐fold cross‐validation and testing on a multichannel, multiscale, one‐dimensional convolutional neural network to classify seizure onset zones.ResultsAcross held‐out test sets, our models achieved a seizure onset zone classification sensitivity of .702 (95% confidence interval [CI] = .549–.805), specificity of .741 (95% CI = .652–.835), and accuracy of .738 (95% CI = .687–.795), which was significantly better than models trained on random labels. The models performed well across the entire brain, with top five region performance demonstrating accuracies between 70.0% and 88.4%. When split by outcomes, the models performed significantly better on patients with favorable Engel outcomes after resection or who were responsive neurostimulation responders. Finally, SHAP (Shapley Additive Explanation) value analysis on median‐normalized input data assigned consistently high feature importance to interictal spikes and large deflections, whereas similar analyses on histogram‐equalized data revealed differences in feature importance assignments to low‐amplitude segments.SignificanceThis work serves as evidence that deep learning on brief interictal intracranial data can classify seizure onset zones across the brain. Furthermore, our findings corroborate current understandings of interictal epileptiform discharges and may help uncover novel interictal morphologies. Clinical application of our models may reduce dependence on recorded seizures for localization and shorten presurgical evaluation time for drug‐resistant epilepsy patients, reducing patient morbidity and hospital costs.

ABSTRACT Introduction Chronic back/neck pain costs the United States around 250 billion dollars annually. Treatment strategies include medication, physical therapy, and specialized procedures. This study aimed to investigate the trends in procedural frequency and Medicare reimbursement rates for common back pain procedures. Methods Data from 2000 to 2020 were extracted from Medicare Part B National Summary Data files, using Current Procedural Terminology (CPT) codes to identify reimbursement for cervical/thoracic and lumbar/sacral epidural injections, radiofrequency ablation, facet joint injections, and spinal cord stimulators (both percutaneous and paddle). Key metrics included annual total physician charges, reimbursements, and the number of procedures performed. Results From 2000 to 2020, 53,208,205 pain procedures were performed. The most common was lumbar/sacral epidural injections, followed by facet joint injections and radiofrequency ablations. Paddle SCS placement was the least common. Percutaneous SCS had the greatest volume growth, increasing from 3595 to 111,172 [+2992%], followed by lumbar/sacral epidural injections with 118,884 to 1,965,445 [+1553%], and cervical/thoracic epidural injections, 22,480–348,642 [+1451%]. All procedures saw a significant increase in volume except for facet joint injections. Inflation‐adjusted reimbursement per service also increased, with paddle SCS demonstrating the largest increase ($618–$2960 [+379.0%]), followed by percutaneous SCS ($353–$1428 [+304.5%]) and cervical/thoracic epidural injections ($128–$153 [+19.5%]). Conclusions Pain management procedures have increased in volume and reimbursement over the last 20 years. This increased reimbursement may allow for broader access to these procedures compared to prior decades and support a shift from traditional and more invasive surgical procedures to minimally invasive treatments for chronic pain patients.

Background: Major League Baseball (MLB) recently instituted a combine for their prospective players. Purpose/Hypothesis: The purpose of this study was to report initial epidemiological findings for both physical examination and imaging findings for the MLB Combine. It was hypothesized that most players would have no significant abnormal physical examination findings, but most would have abnormal findings on their shoulder and elbow magnetic resonance imaging (MRI) scans. Study Design: Descriptive epidemiology study. Methods: All players who attended the 2023 MLB Combine were included. History was taken and physical examination was performed by an MLB team physician, and MRI of the shoulder, elbow, cervical spine, and lumbar spine was performed on all players and read by 1 of 2 musculoskeletal radiologists. Physical examination notes and imaging reports were reviewed by the authors and recorded. Data were analyzed separately for pitchers and position players. Results: Overall, 219 players (112 pitchers [51%], 107 position players [49%]) were included. The mean age was 20.4 ± 1.5 years. The majority of players (95%) had no current pain or limitations; 54 players (25%) had a history of previous surgery. For pitchers, 18% underwent previous elbow surgery. With regard to MRI, >80% of pitchers had some abnormality within their ulnar collateral ligament (UCL), the majority of which was UCL scarring/remodeling. 70% of pitchers and 60% of position players had evidence of an olecranon osteophyte. Increased signal within the ulnar nerve was common in pitchers (40%) but rare in position players (4%). For the shoulder, 95% of pitchers and 93% of position players had some rotator cuff abnormality (often tendinosis within the supraspinatus and infraspinatus muscles). Also, 75% of pitchers had MRI evidence of a superior labrum anterior to posterior (SLAP) tear, while 24% of position players demonstrated this. Lumbar spine MRI showed that 47% of position players had a disk protrusion and 46% had a previous pars fracture. Conclusion: Most baseball players who participated in the 2023 MLB Combine had MRI evidence of rotator cuff abnormalities, and many showed evidence of an olecranon osteophyte. Eighteen percent of pitchers had a previous history of elbow surgery. The majority of pitchers had some abnormality within their UCL and evidence of a SLAP tear on MRI scans.

Purpose This study aims to explore how hospital leadership manages conflicts arising from the risks and complexities of adopting Health Information Technology (HIT). Design/methodology/approach This qualitative study uses Yin’s (2014) case study methodology, drawing on in-depth interviews with leaders from a research hospital system and a critical access hospital to develop a conceptual model of leadership’s role in managing HIT-related conflicts. Findings This study identifies 30 factors related to HIT-related conflicts. Critical access hospitals face higher risks due to resource constraints, though their impact on stakeholders is lower. Increased complexity, shaped by close-knit cultures and reliance on external networks, is offset by reduced bureaucracy, enabling quicker decision-making. Leadership in both settings uses servant leadership and similar conflict management strategies, including process, content and motivational controls. Furthermore, heightened HIT-related conflicts correlate with adoption and implementation delays, prompting proactive leadership interventions. Originality/value This research fills a gap by examining how hospital leadership mediates conflicts during HIT adoption in a research hospital system and a critical access hospital.