Citations

Purpose: Subcortical functional brain mapping is a valuable technique, especially involving lesions within or near white matter tracts. Motor and language deficits caused by intraoperative damage to these subcortical fibers are associated with worse outcomes. However, there are variable approaches to performing subcortical functional brain mapping. This systematic review was performed to better understand indications and optimal stimulation parameters. Methods: A systematic review was performed by PRISMA guidelines, using PubMed, Scopus, and Medline databases. Search dates ranged from inception to November 30th, 2024. Studies included adults who underwent subcortical electrical stimulation for functional brain mapping. Results: A total of 55 articles (249 patients, mean age 44.8 years, 114 female) were included. The most common pathology was brain tumor (96.3%), primarily gliomas and metastases, and 24.4% of all cases had a history of epilepsy. The most frequently mapped white matter tracts were the arcuate fasciculus, corticospinal/pyramidal tract, and inferior fronto-occipital fasciculus, involving motor, language, and cognitive functions. Bipolar stimulation (50–60 Hz, 0.5–1 millisecond, 1–10 mA) was preferred over monopolar stimulation. Among 147 patients with outcome data, 89.1% did not suffer permanent adverse outcomes including neurologic deficits, although long-term outcomes were inconsistently reported. Conclusions: The methodologic variability of subcortical functional brain mapping and lack of long-term follow-up reported limits determination of optimal parameter selection for electrical stimulation although common trends are reported. Functional brain mapping approaches may be guided by the tract and network involved. Further studies are needed to develop a standardized approach and more definitive guideline to its performance.

ABSTRACT Background and Aims Artificial intelligence (AI) is increasingly integrated into gastrointestinal (GI) endoscopy, yet limited data exist on how patients and endoscopists perceive its use. This study aimed to evaluate users' values and preferences regarding AI in endoscopy to support effective implementation and inform guideline development. Methods As part of the World Endoscopy Organization (WEO) AI committee initiatives, two structured international surveys were conducted—one for patients and one for practicing endoscopists. Thirteen AI‐related statements were presented to patients via an established online platform, while 23 statements were shared with endoscopists through professional networks. Responses were captured using 5‐point Likert scales and analyzed with non‐parametric tests, including subgroup comparisons by age, gender, and endoscopic experience. Results A total of 1237 patients and 476 endoscopists participated. Most patients supported AI in image analysis (75.5%) but emphasized the need for endoscopist oversight (92.3%). Among endoscopists, 90.3% believed AI improves endoscopy quality, and 85.3% believed it benefits outcomes. Concerns were raised about liability (47%), operator dependency (34.8%), and procedure time (49%). Most respondents felt primary responsibility for AI‐related errors should rest with the endoscopist. Younger and male patients reported greater trust in AI. Conclusions Patients and endoscopists are generally supportive of AI in GI endoscopy, especially as an adjunct to human expertise. However, key concerns—including accountability, trust, and clinical integration—must be addressed to ensure responsible and effective adoption.

OBJECTIVE The aim of this study was to compare 3 electrode designs—a novel 22-contact circular grid, standard 6-contact strip, and high-density (HD) grid between 32 and 64 contacts—for the detection of epileptiform activity during awake craniotomy. METHODS This study included patients who underwent functional brain mapping with and without direct electrical stimulation during awake craniotomy. Demographic, clinical, and electrocorticography (ECoG) data were collected. RESULTS A total of 194 patients were included, with 264 instances of electrode use: 113 circular grid, 96 strip electrode, and 55 HD grid. The HD grid (15%) was used less to record ECoG during direct electrical stimulation than the circular grid (80%, p < 0.001) and strip electrodes (69%, p < 0.001). Sporadic interictal epileptiform activity was better detected with circular (45%, p < 0.001) and HD (40%, p = 0.006) grids compared with strip electrodes (16%). Spontaneous seizures were recorded more frequently with the circular grid (16%, p = 0.018) compared with the strip electrode (9.4%) and HD grid (1.8%). Afterdischarges were more frequently detected by the circular grid (69%, p = 0.031) and with circular and HD grids (combined) compared with strip electrodes (67% vs 48%, p = 0.024), at lower median intensity (3 mA vs 5 mA, p < 0.001). Multivariable analyses demonstrated circular grids (p < 0.001) to be more sensitive in detecting spontaneous epileptiform activity than strip and HD grid electrodes, and grids (circular and HD) to be better in recording stimulus-induced epileptiform activity (p = 0.01). CONCLUSIONS This study demonstrates a higher rate of detection of epileptiform activity with circular and standard grids when compared with strip electrodes. The standard HD grid was used less during electrical stimulation, demonstrating the importance of both the number of contacts and design array when considering optimal conditions for ECoG and functional brain mapping.

Abstract Background: Acute myeloid leukemia (AML) with TP53 alteration (TP53alt), including deletion (TP53del) detected by cytogenetics (CG) (karyotype, FISH, or genomic microarray) and/or TP53 mutation (TP53mut) identified by next-generation sequencing, is associated with poor prognosis. However, a subset of patients may achieve long-term survival after allogeneic hematopoietic cell transplantation (allo-HCT). Patient-, disease-, and transplant-related variables may inform risk stratification and improve treatment decision-making in this high-risk population. We used the CIBMTR registry to investigate outcomes of patients with TP53alt AML undergoing allo-HCT. Methods: We included adult patients with 2017 ELN adverse-risk AML who underwent first allo-HCT between 2013–2019 and had available CG and molecular data. TP53del was centrally reviewed by expert cytogeneticist. Patients were stratified into three TP53alt groups: Group 1 (TP53mut+/ TP53del+), Group 2 (TP53mut −/ TP53del+), and Group 3 (TP53mut+/ TP53del −). The control group comprised patients with 2017 ELN adverse-risk AML negative for both TP53mut and TP53del. Patients from embargoed centers, lacking consent or comprehensive research data, or missing CG and molecular information were excluded. Results: Of 6,474 patients with adverse-risk AML, 703 patients with TP53alt met inclusion criteria: Group 1 (n=203), Group 2 (n=271), Group 3 (n=229). The control group included 2,763 patients. Median age was 58 years (44% ≥60); 44% were female; 16% had Karnofsky score &lt;90, and 52% had HCT-CI ≥3. Secondary AML was more frequent in TP53alt groups (32%, 27%, 27%) versus control (21%) (p&lt;.01). Complex and monosomal karyotypes were most common in Group 1 (61%), followed by Group 2 (54%), Group 3 (31%), and control (6%), p&lt;.01. More patients in Groups 1 and 2 (28% each) underwent HCT in primary induction failure/relapse (PIF/Rel) versus Group 3 (19%) and control (19%), p&lt;.01. Median time from diagnosis to transplant was 5 months (1-331). Donor type was matched related in 23%, matched or mismatched unrelated in 50%, haploidentical in 18%, and umbilical cord blood in 7%. Conditioning intensity was myeloablative (MA) in 51%; reduced-intensity (RIC) in 36% , and 13% non-MA (NMA). Post-transplant cyclophosphamide (PTCy) was used in 27%; and in vivo T-cell depletion (ATG or alemtuzumab) in 26%. After median follow-up of 66 months (3-130), 5-yr OS was 18% (Group 1), 18% (Group 2), 35% (Group 3) vs 46% in controls (p&lt;0.001). 5-yr LFS was 14%, 15%, and 28%, respectively, vs 38% (p&lt;0.001). 5-yr CIR was 69%, 66%, and 52% vs 43% (p&lt;0.001). Transplant-related mortality (TRM) was similar across groups (1-year: 12–16%). On multivariate analysis, compared with controls, TP53del (with or without TP53mut) was independently associated with higher relapse risk: Group 1 HR 1.97, Group 2 HR 1.91, Group 3 HR 1.45 (all p&lt;0.001). These findings translated into inferior OS (HR 1.94, 1.87, and 1.45, respectively, p&lt;0.001). PIF/Rel and CR2+ were also associated with worse survival (HR 2.58 (p&lt;0.001) and 1.18 (p&lt;0.001, respectively). No significant difference was observed between MA and RIC for relapse, while non-myeloablative regimens (HR 1.65; p&lt;0.001) were associated with higher CIR. In vivo T-cell depletion increased relapse risk (HR 1.22; p=0.004). TRM was not influenced by TP53alt status; it was impacted by age, KPS, time from diagnosis to HCT, and GVHD prophylaxis regiment (non-PTCy). Conclusions: This large, registry-based study with long term median follow-up showed that among patients with adverse-risk AML, TP53alt is a strong independent predictor of poor post-HCT outcomes in AML, particularly when TP53del is present. Patients with TP53del , with or without concurrent TP53mut, experienced the worst outcomes, followed by those with isolated TP53mut. Despite the limitations of registry data including lack of information on timing of TP53mut, variant allele frequency (VAF), number of mutations, or accurate information on measurable residual disease (MRD), these findings reinforce the adverse prognostic impact of TP53alt and support its inclusion in risk stratification frameworks. While some patients with TP53alt —particularly those with isolated mutations—may benefit from allo-HCT, relapse remains the dominant cause of failure. Future studies incorporating TP53 functional status, VAF, clonal architecture, specific CG, MRD, and novel transplant approaches are warranted.

Abstract Objectives The primary objective of this research is to assess the content coverage of nursing data within a publicly available common data model (CDM), focusing on how nursing data, documented in flowsheets, are represented within the model. Materials and Methods This mapping study was informed by previous evaluation studies and serves as a framework for evaluating information resources, including to guide development and implementation. The overall research process consists of 4 steps: (1) identify a CDM; (2) define evaluation criteria; (3) map nursing flowsheet data; and (4) apply evaluation criteria. Results Overall, 65.5% (n = 1170) of the flowsheet concepts were mapped to Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT) and Logical Observation Identifiers Names and Codes (LOINC) target codes and 56.0% (n = 1831) of the flowsheet values were mapped to SNOMED CT and LOINC target codes. The flowsheet concepts had a higher average mapping time per concept/reviewer (1.19 min) as compared to the average mapping time per value/reviewer (0.64 min). Discussion This mapping study demonstrated the progress and ongoing challenges of mapping nursing data to a national common data model. However, the ability to use nursing data at scale in a national CDM remains limited until more comprehensive mapping is completed. Conclusion This mapping study identifies a significant gap in integrating nursing data into a national common data model, highlighting an opportunity to enhance patient care through improved real-time insights and evidence-based nursing practices. Addressing this gap can help shape policies that prioritize the inclusion of nursing data. Additionally, aligning nursing data at scale can advance research, increase efficiency, and optimize nurse-sensitive patient outcomes.

Importance Assisted ventilation during delayed cord clamping (DCC) may improve the physiologic transition of extremely preterm infants immediately after birth. Objective To determine whether assisted ventilation during 120 seconds of DCC was associated with reduced higher-level resuscitative interventions (intubation, chest compressions, or epinephrine administration) compared with DCC for 30 to 60 seconds followed by resuscitation. Design, Setting, and Participants This was a secondary analysis of the VentFirst randomized clinical trial that was conducted from September 2, 2016, through February 21, 2023, at 12 centers in the US and Canada. Infants born at 23 weeks 0 days’ to 28 weeks 6 days’ gestational age (GA) were included. Intervention Infants randomized to the intervention received either positive-pressure ventilation or continuous positive airway pressure from 30 to 120 seconds after birth, followed by umbilical cord clamping. Those randomized to control received 30 to 60 seconds of DCC followed by assisted ventilation. Main Outcomes and Measures The main outcome was the odds of higher-level resuscitative interventions in the delivery room (DR). Intention-to-treat analyses within 2 a priori cohorts (infants breathing well and not breathing well 30 seconds after birth) used the Cochran-Mantel-Haenszel method to estimate the odds ratios (ORs) of intervention vs control. Results All 570 infants enrolled in the trial were included. Infants had a median (IQR) GA of 26.6 (25.2-27.9) weeks and 273 (47.9%) were female. A total of 271 infants (47.5%) were assessed as not breathing well 30 seconds after birth (150 intervention and 121 control), and 299 (52.5%) were assessed as breathing well 30 seconds after birth (128 intervention and 171 control). In the not-breathing-well cohort, 146 infants (53.9%) were intubated in the DR, 4 received chest compressions (2 intervention and 2 control), and 1 received epinephrine (control). Intubation was less frequent in the intervention group (71 infants [47.3%] vs 75 infants [62.0%]; OR, 0.52; 95% CI, 0.30-0.89). When adjusted by GA strata at randomization, infants in the 26 to 28 weeks’ GA stratum who were in the intervention group were less likely to be intubated in the DR (18 of 79 infants [22.8%] vs 29 of 60 infants [48.3%]; OR, 0.32; 95% CI, 0.15-0.65). However, there was no difference in intubation rates for infants in the 23 to 25 weeks’ GA stratum (53 of 71 infants [74.7%] vs 46 of 61 infants [75.4%]; OR, 0.96; 95% CI, 0.44-2.12). Among infants breathing well at 30 seconds, 74 (24.7%) were intubated in the DR, and none received compressions or epinephrine. Intubation rates were similar between intervention and control in the breathing-well cohort. Conclusions and Relevance While the VentFirst trial did not find a difference in death or intraventricular hemorrhage, this secondary analysis found that assisted ventilation during DCC was associated with less intubation in the DR, primarily among infants born at 26 to 28 weeks’ gestation who were not breathing well 30 seconds after birth. Additional studies are needed before implementing assisted ventilation during DCC in clinical practice. Trial Registration ClinicalTrials.gov Identifier: NCT02742454

Abstract Uterine leiomyosarcoma (ULMS) is an orphan disease that frequently recurs and metastasizes, with patients undergoing multiple lines of chemotherapy due to lack of effective therapeutic targets. To address this gap, we used single-cell RNA sequencing and spatial transcriptomic analysis to comprehensively profile ULMS. We uncovered multiple states of tumor cells, including tumor cells with mesenchyme-like features, ischemic tumor cells defined by a MYC program, inflammatory tumor cells with active interferon signaling, and stem cell-like hormone receptor-positive cells. The inferred spatial correlates of these tumor cell states demonstrated unique localization patterns. By correlating these signatures to bulk RNA sequencing data, we demonstrate the relevance of these findings to clinical outcomes. Finally, using the single-cell integration and drug response prediction algorithm (scIDUC), we propose drug predictions that may target specific tumor states. Our findings suggest new avenues for further exploration of individualized and multifaceted therapeutic strategies to treat ULMS.

The TransMet trial and Norwegian studies have shown excellent outcomes in highly selected patients undergoing liver transplant (LT) for unresectable colorectal liver metastases (uCRLM). Our aim is to provide an updated analysis of the current state of LT for uCRLM in the United States. Adult patients with a diagnosis of uCRLM listed for LT between December 2017 and March 2025 were identified from the United Network for Organ Sharing database and analyzed. An analysis of living donor LT (LDLT) and deceased donor LT (DDLT) was performed. During this period, 222 patients were listed, and 158 received an LT across 33 centers. Of these, 76 (48.1%) underwent LDLT, and 82 patients (51.9%) underwent DDLT. Of the 82 deceased donors, 56 (68.2%) were out-of-sequence offers. Overall, the 3-year survival and disease-free survival rates were 66.7% and 44.0%, respectively. The 3-year survival for LDLT and DDLT was 74.1% and 57.3% ( p =0.04), respectively. While these results have not yet reached the acceptable threshold established for other LT indications, they have improved and are expected to continue improving after the implementation of prioritization points. Given the potential variability of oncologic selection criteria and graft quality, we call for the standardization of nationally accepted selection criteria for listing patients for LT with uCRLM and for providing early access to high-quality organs. To achieve this, it is imperative to create, update, and maintain national databases that allow for the collection of more granular oncological variables.