Citations

ABSTRACT Introduction The insula is an increasingly important target for functional neurosurgery given its involvement in a range of neurological and neuropsychiatric disorders, including epilepsy and chronic pain. As this practice evolves, optimal targeting will require standardized outcome measures that relate electrode or laser trajectory to postprocedural outcome. Traditional whole- brain registration approaches fail to capture the substantial person-to-person variability in insular gyral configuration, including the relative internal rotation of the insular gyri with respect to standard stereotactic space. Objective We propose and validate a stereotactic coordinate system based on local anatomical landmarks to facilitate surgical planning and standardized outcome assessment within the insular cortex. Methods Our approach transforms brain MRI first into standard AC-PC space, and then into an insular-specific space defined by five anatomical landmarks: four points along the central sulcus of the insula and one point at the middle cerebral artery (MCA) bifurcation (at the limen insulae). The system calculates two angles - θ (axial) and φ (sagittal) - between the AC-PC line and the insular axis, and the brain volume undergoes sequential rotation through these angles followed by translation to place the coordinate system’s origin along the insular axis. Results In a sample of 32 patients, the angle between the AC-PC line and the insular axis ranged from -17° to 17° in the axial plane (θ) and 31° to 69° in the sagittal plane (φ). In the resulting coordinate system, the insular axis defines z = 0 and the MCA turning point defines y = 0. We developed a custom, open-access MATLAB graphical interface that allows intuitive implementation of this system for both surgical planning and postoperative analysis; implanted electrodes, laser fiber position, and ablation geometry can each be localized within this common space. As a demonstration of its utility for pooling data across subjects, we applied the transformation to a previously acquired intracranial electrophysiology dataset and found that anatomically consistent, effector-specific motor representations emerged across 18 subjects once electrode positions were expressed in insular-specific coordinates. Conclusion As stereotactic surgery for insular targets becomes more common with expanding scientific inquiry, an insular-specific coordinate system may facilitate operative planning and functional mapping, and may help standardize outcome assessment across patients and institutions. SIGNIFICANCE STATEMENT The insular cortex represents an increasingly important surgical target for therapeutic interventions, yet substantial person-to-person anatomical variability hampers standardized targeting and outcome comparison. The insula is simultaneously the subject of expanding scientific inquiry — into interoception, pain, autonomic regulation, salience processing, and sensorimotor representation — much of it now pursued through intracranial recording and stimulation in humans, where cohorts are small, electrode sampling is idiosyncratic, and progress therefore depends on pooling data across patients in a frame that respects insular gyral architecture. We present “ Insulotaxy ,” a stereotactic coordinate system built from consistent, easily identifiable local anatomical landmarks that accounts for the insula’s unique rotational relationship to standard brain coordinates. An open-source MATLAB tool transforms imaging into insular-specific coordinates, facilitating surgical planning for ablation and electrode placement while enabling standardized outcome reporting across institutions. By providing locally anchored, anatomically aligned coordinates rather than relying on whole-brain registration, this framework addresses a practical gap in functional neurosurgery and lays a foundation for pooling clinical and electrophysiological data as insular interventions become more prevalent.

Background TP53 mutational status ( TP53 ms) is prognostically important in myeloid neoplasms. Immunohistochemistry (IHC) of p53 has been used as a surrogate for TP53 mutations, with faster results than next-generation sequencing (NGS) and cytogenetic analysis. Given the challenges posed by heterogeneous p53 IHC expression, this study aims to evaluate the interobserver interpretation of p53 stain as a surrogate marker for TP53m . Methods Fifty-three bone marrow (BM) specimens previously diagnosed as myeloid neoplasms or nonneoplastic BM specimens with available concurrent TP53ms were evaluated. p53 IHC staining was performed on all 53 core biopsy or clot sections. TP53 mutation was found in 24 cases ( TP53 m). Twenty-nine specimens were TP53 wild-type and served as the control group. Six hematopathologists (HPs) blinded to the diagnosis and TP53 m independently scored the p53 staining pattern of the biopsies/clot sections for overall staining percentage (OSP) and staining intensity (dark staining percentage as a percentage of total cells (DCP)). Results The intraclass correlation was excellent for OSP (0.927) and good for DCP (0.848). For OSP, a cutoff of 30% resulted in sensitivity of 83.3%, specificity of 89.7%, PPV of 87.0%, and NPV of 86.7%. For DCP, a cutoff of 10% achieved sensitivity of 87.5%, specificity of 96.6%, PPV of 95.4%, and NPV of 90.3%. Additionally, DCP significantly correlated with the VAF of TP53 m (R = 0.469, p = 0.028). Conclusion High inter-rater reliability for OSP and DCP supports integrating p53 IHC into bone marrow evaluations for rapid TP53 m assessment. With superior specificity and predictive values, DCP proves to be a more reliable diagnostic marker for TP53 mutations. While this approach shows promise for myeloid neoplasms, further validation is needed to overcome challenges and expand its clinical utility for tailored treatment strategies.

Platelets are central to hemostasis and thrombosis. Excessive platelet activation contributes to arterial thrombotic events, including myocardial infarction, ischemic stroke, and complications of peripheral artery disease, whereas excessive platelet inhibition increases bleeding risk. Antiplatelet therapy remains a cornerstone of secondary prevention in atherosclerotic and thrombotic cardiovascular diseases, yet current treatment paradigms do not fully account for biological heterogeneity in platelet function, including differences related to sex, age, hormonal status, and disease context. This state-of-the-art review examines current antiplatelet strategies, fundamental mechanisms of signal transduction, clinical indications, and limitations of preclinical and clinical studies, with a focus on sex-specific considerations and opportunities for personalized antiplatelet therapy. Aspirin and P2Y 12 receptor antagonists are widely used for secondary prevention. However, women have been underrepresented in many pivotal clinical trials, limiting the precision of sex-specific estimates of efficacy and bleeding risk. In parallel, commonly used preclinical models often fail to recapitulate the physiological conditions in which platelets interact with the vasculature, leukocytes, and soluble factors. Emerging therapeutic approaches seek to refine platelet inhibition by targeting pathways that reduce thrombotic risk while preserving hemostasis. Advancing antiplatelet therapy will require integration of mechanistic platelet biology with diverse clinical trial populations, standardized platelet phenotyping, and disease-specific approaches that account for how platelet function is altered across health and vascular disease.

PURPOSE Age ≥40 years is regarded as a high-risk feature and an indication for adjuvant chemoradiotherapy for patients with lower-grade glioma in clinical practice guidelines. It is unclear whether age remains a relevant prognostic factor for contemporary definitions of lower-grade gliomas in the molecular era. METHODS The Prospective Gliomas Research (PROGRES) database contains individual patient-level data from 11 prospective clinical trials or observational registries of histologically defined lower-grade 2-3 oligodendroglioma or astrocytoma. We determined the association of age (18-39 years v ≥40 years) with progression-free survival (PFS) stratified by isocitrate dehydrogenase 1 or 2 ( IDH1/2 ) status, using log-rank tests and Cox regression models. We validated our findings in a separate multi-institutional retrospective cohort (Retrospective Glioma Research [REGRES] database). RESULTS We identified 1,619 and 1,292 eligible patients in the PROGRES and REGRES cohorts, respectively. IDH -wildtype tumors were more common in patients 40 years and older (38% v 5%, odds ratio: 11.3 [95% CI, 6.5 to 19.7]). Age was associated with PFS in IDH -wildtype (5-year PFS for ≥40 v 18-39 years: 6% v 24%, hazard ratio [HR], 1.74 [95% CI, 1.21 to 2.50]) but not in IDH -mutant glioma (60% v 59%, HR, 0.89 [95% CI, 0.76 to 1.05], P interaction < .001). In IDH -wildtype tumors, older age predicted aggressive molecular features, including TERT promoter mutation (65% v 28%), EGFR amplification (41% v 15%), and chromosome +7/–10 alteration (57% v 25%). In a pooled analysis of four clinical trials, age was not predictive of a benefit from chemoradiotherapy versus radiotherapy alone for IDH -mutant glioma. CONCLUSION In the absence of additional clinical or molecular risk factors, age alone should not be considered an indication for administration or deferral of adjuvant treatment. Practice guidelines should be revised to reflect contemporary prognostic factors in the molecular era.

Abstract: Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer screening, but its incremental value relative to non-AI resect-and-discard (RD) strategies for diminutive polyps (≤ 5 mm) remain unclear. We aimed to compare the clinical, economic, and environmental outcomes of AI-assisted and non-AI RD strategies with standard of care (SoC). Methods In our Markov model simulating 6 million individuals aged ≥45 years undergoing screening colonoscopy, 4 strategies were evaluated: SoC, non-AI RD, CADe-assisted RD (CADe-RD), and CADe+CADx-assisted RD (CADe+CADx-RD). The primary outcome was total quality-adjusted life years (QALYs), with secondary outcomes including cost and carbon dioxide (CO₂) emissions. Results Non-AI RD achieved the lowest total cost ($36.6B) and carbon emissions (0.90 million kg CO₂), while yielding the highest QALYs (51.37 million), although differences in QALYs across strategies were small (<0.01%). CADe-RD and CADe+CADx-RD remained cost-saving relative to SoC ($36.9B and $37.4B vs $37.8B, respectively) but were associated with higher costs than non-AI RD. CADe modestly increased adenoma detection without improving QALYs, while the addition of CADx increased costs and emissions and resulted in slightly lower QALYs. Sensitivity analysis showed that CADe+CADx-RD matched or exceeded CADe-RD QALYs only within a limited region of high diagnostic performance. At currently reported CADx performance levels, CADe+CADx-RD yielded lower QALYs and higher costs than CADe-RD. CADe+CADx-RD achieved non-inferiority in QALYs relative to CADe-RD only within a limited region of high diagnostic performance. Conclusions In our non-deterministic model, non-AI RD provided the optimal balance of clinical benefit, cost savings, and lowest environmental impact.

Point-of-care ultrasound (POCUS) offers unique, real-time advantages for assessing liver disease, benefiting both health care providers and patients. It has been shown to enhance patient care and satisfaction across a variety of medical specialties. Although liver POCUS is practiced widely in many parts of the world, its use in the United States remains limited. Liver POCUS enables rapid assessment of specific hepatic conditions, including both vascular and parenchymal abnormalities, and can play a key role in timely management decision-making—such as guiding the use of diuretics or volume expanders. Once liver POCUS is established, ultrasonography-enabled procedures, such as procedure guidance and shear wave elastography, may be adopted and enrich the practice of hepatology in the future. This paper serves as a summary of the American Association for the Study of Liver Diseases' (AASLD) current position on liver POCUS, offering proposed imaging protocols, recommendations for training and credentialing, and practical guidelines for implementation in clinical settings.

ABSTRACT Objectives To investigate pharmacological treatment patterns in individuals with bipolar disorder (BD) with and without comorbid substance use disorder (SUD) and anxiety disorder (AX), we leveraged the Global Bipolar Cohort to analyze cross‐regional practices across North America, Europe, and the Pacific. Methods Fourteen cohorts contributed aggregate data on pharmacotherapy, demographics, diagnostic subtypes, and comorbidities. Proportional meta‐analyses using generalized linear mixed models were conducted to examine prescription trends and identify clinical differences. Results The sample ( N = 11,521) was 60% female and 84% Caucasian. Participants were categorized into four mutually exclusive groups based on comorbidity status: those with comorbid AX only, comorbid SUD only, both AX and SUD, or neither. The AX+SUD subgroup showed higher rates of attention‐deficit/hyperactivity disorder (ADHD), post‐traumatic stress disorder (PTSD), rapid cycling, obesity, and unemployment, reflecting a more severe clinical profile. Regional variations were notable: North American cohorts reported higher prevalence of AX and SUD than European and Pacific cohorts. Antidepressants use for AX were more common in Europe and the Pacific, while North American prescribing patterns were more variable. Benzodiazepine use was high among individuals with SUD across all regions. Lithium and first‐generation antipsychotic prescriptions varied, with higher rates observed in Europe. Conclusions Findings underscore the heterogeneity of BD and the influence of comorbid AX and SUD on illness burden and treatment. Regional prescribing variations underscore the need for context‐specific guidelines. Gaps in data on medication‐assisted treatment for SUD point to areas for future research. These insights can support more individualized and effective care for complex BD presentations.

Abstract Objectives To systematically evaluate the certainty of evidence for treatment strategies across age groups and mood phases in bipolar disorder, and develop an open access web platform to facilitate shared decision making. Design Living umbrella review, evaluation, analysis, and communication hub (U-REACH) project. Data sources PubMed, PsycInfo, and Cochrane library databases, from inception to 19 November 2024. Eligibility criteria for selecting studies Systematic reviews with network or pairwise meta-analyses of randomised controlled trials of pharmacological, nutraceutical, psychosocial, brain stimulation, or circadian rhythm based treatments, administered as monotherapy (without concurrent interventions), augmentation treatment (interventions added to an ongoing treatment regimen), or combination treatment (simultaneous initiation of two different interventions), examining any age group, bipolar disorder phase (ie, acute bipolar depression, mania or mixed episodes, or maintenance), treatment, control, or outcome. Results 77 studies met the inclusion criteria (21 network meta-analyses and 56 pairwise meta-analyses), including 116 unique pharmacological (n=74), brain stimulation (n=18), nutraceutical (n=13), psychosocial (n=8), and circadian rhythm based (n=3) treatments as monotherapy, augmentation, or combination therapy, along with five control interventions. These studies covered 133 unique outcomes (45 efficacy outcomes and 88 safety outcomes) resulting in 2510 meta-analyses with Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) ratings of the certainty of the evidence as high (n=236), moderate (n=827), low (n=986), and very low (n=461). A communication hub, the Evidence Based Interventions for Bipolar Disorder (EBI-BD) platform, was developed and the full results are freely available ( https://ebibd-database.org ), including the preference based tool (12 interventions and 17 safety outcomes). Interventions effective across outcomes varied by phases. For bipolar depression, effective interventions in adults were cariprazine, divalproex or valproate, fluoxetine, ketamine (augmentation), lamotrigine, lumateperone, lurasidone, olanzapine, olanzapine with fluoxetine, and quetiapine, whereas effective interventions in children and adolescents were lurasidone and olanzapine with fluoxetine. For mania episodes, effective interventions in adults were aripiprazole, asenapine, carbamazepine, cariprazine, divalproex or valproate, haloperidol, lithium, olanzapine, paliperidone, quetiapine (also augmentation), risperidone (also as augmentation), tamoxifen, and ziprasidone, whereas effective interventions in children and adolescents were aripiprazole, asenapine, olanzapine, quetiapine, and risperidone. For maintenance, interventions effective across outcomes in adults were aripiprazole (also the long acting injectable formulation), asenapine, divalproex or valproate, lithium, olanzapine, group psychoeducation (augmentation), quetiapine, and risperidone long acting injectable formulation. Interventions effective across phases were aripiprazole (also as augmentation and as a long acting injectable formulation), asenapine, cariprazine, cognitive behavioural therapy (augmentation), divalproex or valproate, lamotrigine, lithium, olanzapine (also as augmentation), paliperidone, quetiapine (also as augmentation), and risperidone (also as augmentation and the long acting injectable formulation) (adults). Treatment effects by neuroscience based nomenclature classes are also reported. Conclusions The EBI-BD tool can help clinicians make evidence based, personalised treatment decisions for bipolar disorder. This resource can inform clinical guidelines and provides a foundation for continuously improving bipolar disorder care as new evidence emerges. Trial registration Open Science Framework https://osf.io/pjmvn/ Readers’ note This is a living systematic review and may be updated in the next two years if additional evidence emerges.

Background Intensive care units are high-acuity environments characterized by time pressure, medical complexity, and organizational demands. These conditions may influence clinicians’ ability to provide patient-centered care and contribute to forms of care perceived as fragmented or dehumanizing. Objective To examine how ICU clinicians describe and make sense of the pressures shaping everyday critical care practice, and how these pressures give rise to interacting patterns of care, including those described as hurry, blur, burden, and cruelty. Methods We conducted a qualitative study using focus groups with ICU clinicians from a large academic health system. Discussions were informed by the concept of the pathologies of care as sensitizing concepts. Four focus groups were held with physicians, nurses, advanced practice nurses, and a social worker ( N = 14). Transcripts were analyzed using directed content analysis with both deductive and inductive coding. Results Clinicians described these patterns not as discrete phenomena but as interrelated, context-dependent processes shaped by shared operational pressures such as time constraints, workload, and information demands. These dynamics were often viewed as inherent to the structure and culture of ICU care and were described as co-occurring and compounding. Communication emerged as both a contributor to and a potential mechanism for mitigation, alongside system-level strategies such as reducing documentation burden and leveraging artificial intelligence to support care delivery. Conclusions Patterns reflected in hurry, blur, burden, and cruelty are best understood as emergent properties of complex care systems. Addressing these dynamics may require system-level approaches to improve communication, reduce workload pressures, and support more patient-centered, humanizing care.