Citations

BACKGROUND AND OBJECTIVES: Embolization is part of multidisciplinary brain arteriovenous malformations (AVMs) treatment, yet safety data for novel liquid embolization agents (LEAs) such as Squid and PHIL remain limited. This study reports complications and outcomes from curative embolization using Onyx, Squid, PHIL, and Glue. METHODS: Adult patients with brain AVMs treated with LEAs from July 2015 to December 2022 were reviewed for intraprocedural technical issues, postoperative hemorrhagic, and ischemic complications. Minor (modified Rankin Scale ≤2) and major complication rate (morbidity/modified Rankin Scale >2), mortality, and 6-month angiographic cure rate were evaluated. RESULTS: In total, 135 patients (62.2% male, mean age 41.7 ± 15.1 years) with 206 embolizations (34% Onyx, 18.9% Squid, 17.5% PHIL, 28.2% Glue) were included. Overall, 87.4% procedures were in ruptured AVMs and 84% treated by the transarterial technique (84%). The 6-month angiographic cure rate was 53.3%, higher when nonadhesive LEAs were used than Glue (65.3% vs 17.6%, P < .001). In adjusted analysis, only eloquent location (odds ratio [OR] = 4.4; P = .007) and Glue (OR = 9.1; 95% CI 2.9-28.9, P < .001) were predictors of lower angiographic occlusion rate, whereas size had an inverse correlation (OR = 0.67; P = .019). Technical procedural complications, hemorrhagic, and ischemic rates were 10.2% (2.2% morbidity), 13.1% (3.7% morbidity and 2.2% mortality), and 9.2% (2.2% morbidity, 0% mortality), respectively, regardless of the preferred LEA. Minor, major complications, and mortality rates were 3.7%, 4.4%, and 2.2%, respectively. Hemorrhage was the major contributor to morbidity and mortality, whereas deep venous drainage was an independent predictor of hemorrhage and mortality. CONCLUSION: PHIL and Squid demonstrated complication and angiographic cure rates comparable with Onyx. However, curative embolization of brain AVMs resulted in only moderate angiographic occlusion. Larger multicenter studies with standardized operator protocols, cost-effectiveness assessments, and extended follow-up are warranted to validate these findings.

Introduction: Endovascular thrombectomy (EVT) is an effective treatment for basilar artery occlusion (BAO) stroke in select patients. While there is a growing body of literature suggesting that advanced imaging modalities such as computed tomography perfusion (CTP) and magnetic resonance (MR) may not be necessary for selecting anterior circulation large vessel occlusion stroke patients for EVT, whether advanced imaging may be superior to conventional imaging (non-contrast CT and CT angiography) in identifying good treatment candidates among BAO patients is less clear. Patients and methods: This was a multicenter retrospective cohort study of BAO EVT patients treated from 2013 to 2022 in the Stroke Thrombectomy and Aneurysm Registry. Patients selected for EVT by advanced imaging (CTP or MR) were matched with those selected by conventional imaging using propensity score matching (PSM) accounting for possible confounders. Primary outcome was functional independence at 90 days. Other outcomes include bedridden state or death at 90-days and symptomatic intracranial hemorrhage (sICH). Results: 268 patients were included. 150 patients were selected for BAO EVT by conventional imaging, 86 by CTP, and 32 by MR. Patients selected by advanced imaging were significantly older than those selected by conventional imaging (median age 71 vs 64 years, p = 0.001); patient characteristics were otherwise similar between cohorts. After PSM, 90-day outcomes were similar between the two cohorts ( p = 0.56), with similar rates of functional independence (39.4% vs 35.1%, p = 0.65), bedridden state or death (40.4% vs 44.7%, p = 0.66), and sICH (3.3% vs 5.7%, p = 0.49) for conventional and advanced imaging groups, respectively. Results were similar across treatment time windows (all p > 0.05). Conclusions: Selecting patients for basilar EVT using conventional versus advanced imaging did not result in different clinical outcomes, regardless of treatment time windows. Conventional imaging appears sufficient as a first-line tool for selecting basilar EVT patients in routine clinical practice.

Since the discovery of the first psychoactive medications, their psychiatric and medical uses have overlapped. Designating a medication psychiatric or psychotropic is thus arbitrary, based on its most common usage, but labeling it so obscures the full range of its pharmacologic activity and clinical utility. Psychotropic medications (PMs) are frequently used to treat medical conditions or symptoms in the areas of neurology (e.g., migraine, seizure disorder), dermatology (e.g., itching), gastroenterology, and chronic pain, among many others. It is important for both primary care and specialty physicians to be aware of the potential non-psychiatric indications for the use of common PMs such as antidepressants, antipsychotics, and anxiolytics. This review examines the potential benefits and risks of PMs when used for non-psychiatric indications, highlighting how their pharmacologic effects on neurotransmitters contribute to both therapeutic outcomes and adverse effects. It also provides guiding principles for prescribers, including the importance of adjusting doses based on the specific indication, monitoring for harmful side effects, considering age-related factors, and addressing the risks associated with polypharmacy.

Introduction and Objective: Kidney stone growth and new stone formation are common clinical trial endpoints and are associated with future symptomatic events. To date, a manual review of CT scans has been required to assess stone growth and new stone formation, which is laborious. We validated the performance of a software algorithm that automatically identified, registered, and measured stones over longitudinal CT studies. Methods: We validated the performance of a pretrained machine learning algorithm to classify stone outcomes on longitudinal CT scan images at baseline and at the end of the 2-year follow-up period for 62 participants aged >18 years in the Prevention of Urinary Stones with Hydration (PUSH) randomized controlled trial. Stones were defined as an area of voxels with a minimum linear dimension of 2 mm that was higher in density than the mean plus 4 standard deviations of all nonnegative HU values within the kidney. The four outcomes assessed were: (1) growth of at least one existing stone by ≥2 mm, (2) formation of at least one new ≥2 mm stone, (3) no stone growth or new stone formation, and (4) loss of at least one stone. The accuracy of the algorithm was determined by comparing its outcomes to the gold standard of independent review of the CT images by at least two expert clinicians. Results: The algorithm correctly classified outcomes for 61 paired scans (98.4%). One pair that the algorithm incorrectly classified as stone growth was a new renal artery calcification on end-of-study CT. Conclusions: An automated image analysis method validated for the prospective PUSH trial was highly accurate for determining clinical outcomes of new stone formation, stone growth, stable stone size, and stone loss on longitudinal CT images. This method has the potential to improve the accuracy and efficiency of clinical care and endpoint determination for future clinical trials.

Artificial intelligence (AI) is reshaping neurosurgery, offering unprecedented opportunities to enhance diagnostics, personalize treatment, and predict outcomes. At the heart of this transformation is the ability to effectively harness big data (BD) within the electronic medical record. Understanding these data structures is essential for making sense of the vast volumes of information generated in modern neurosurgical practice. Equally important are the machine learning (ML) models driving these advancements. From supervised learning and convolutional neural networks to generative AI, these tools are already making a mark in areas such as brain tumor segmentation and spine surgery outcome predictions. Their versatility highlights the potential of ML to complement clinical expertise and streamline decision-making in neurosurgery. However, adopting BD and ML also brings ethical challenges that cannot be ignored. Bias in algorithms threatens to reinforce health disparities, whereas concerns about data privacy demand vigilance in handling sensitive patient information. In addition, the question of liability looms large as ML increasingly influences clinical decisions. The aim of the study was to provide a roadmap for neurosurgeons navigating the evolving intersection of BD, ML, and ethical responsibility in the AI era.

Abstract INTRODUCTION Primary age‐related tauopathy (PART) is defined by neurofibrillary tangles (NFTs) with absent‐minimal amyloid beta (Aβ) plaques. Currently, definitive diagnosis of PART occurs with autopsy. This study investigated whether [ 18 F]fluorodeoxyglucose positron emission tomography (FDG‐PET) could detect PART‐related metabolic changes and assessed the impact of common co‐pathologies. METHODS We performed a retrospective cross‐sectional study of 88 individuals (mean age 85.6) with autopsy‐confirmed PART (Braak I to IV; Thal phases 0 to 2) who underwent ante mortem FDG‐PET. Visual ratings and standardized uptake value ratios (SUVRs) were analyzed in medial and lateral temporal lobes, inferior temporal pole, precuneus, and posterior cingulate regions. RESULTS Medial temporal hypometabolism was observed in PART, in the presence of co‐pathologies. Argyrophilic grain disease and TAR DNA‐binding protein 43 were associated with greater hypometabolism ( p < 0.01). Lewy body disease affected parietal regions. DISCUSSION FDG‐PET reveals that PART‐related hypometabolism occurs when co‐pathologies are present, but PART alone appears to have minimal effect on medial temporal lobe hypometabolism. Highlights FDG‐PET hypometabolism worsens with Braak NFT stage. FDG‐PET detects mild lateral temporal lobe hypometabolism in PART alone. PART alone has a minimal effect on medial temporal lobe hypometabolism. Medial temporal hypometabolism is worse in PART with TDP‐43 and especially AGD. The presence of LBD contributes to parietal hypometabolism on FGD‐PET in PART.

Abstract The combination of enfortumab vedotin and pembrolizumab (EVP) has recently revolutionized care for patients with previously untreated locally advanced and metastatic urothelial carcinoma. However, predictive biomarkers of response, the optimal duration of EVP for patients who respond well to therapy, and the role of circulating tumor DNA to monitor treatment response have not yet been fully elucidated. In this molecular tumor board, we summarize 6 patients from 4 different academic institutions with unresectable or oligometastatic urothelial carcinoma who achieved long-term remission on surveillance after a short duration of EVP treatment that resulted in complete response on follow-up imaging followed by consolidative radical cystectomy. We discuss potential predictive biomarkers for patients with exceptional response to EVP. These findings highlight the need to determine an optimal duration of EVP to maximize efficacy while minimizing adverse events. We aim to further define and explore the value of local therapy with consolidative cystectomy in the setting of unresectable, locally advanced, oligometastatic disease, or those with metastatic disease who achieve complete response of disease outside of the bladder. Identifying this subset of patients who may be candidates for this type of multidisciplinary management may result in durable treatment-free remission.