Citations

OBJECTIVE Historically, craniopharyngioma (CP) was divided into adamantinomatous CP (ACP) and papillary CP (PCP) subtypes based on histopathological features. However, each harbors a unique genetic profile and progressively differing treatment paradigms, leading to their reclassification by the WHO in 2016 as two distinct entities. Descriptive in nature, this large multi-institutional study aimed to establish current differences between the presentation, treatment patterns, and clinical course of these pathologies to serve as a baseline for future studies as new treatment paradigms emerge. METHODS The authors queried the Registry for Adenomas of the Pituitary and Related Disorders (RAPID) database, which encompassed patients from 14 participating institutions across the United States between 2000 and 2024. The database was screened for adult patients who underwent initial CP treatment with a confirmed histopathological diagnosis of ACP or PCP. Patient demographic characteristics, clinical course, tumor treatment, and outcomes data were collected and compared by CP type. RESULTS The final analysis included 273 ACP and 99 PCP adult patients who underwent initial surgical treatment. ACP patients presented younger on average (mean 48.3 vs 52.8 years, p = 0.034). PCP patients were more likely to present with hypothyroidism (33.3% vs 20.5%, p = 0.010), hyperlipidemia (25.3% vs 15.8%, p = 0.036), fatigue (28.3% vs 17.6%, p = 0.024), temperature intolerance (9.1% vs 1.5%, p < 0.001), and cardiac arrhythmia (6.1% vs 1.1%, p = 0.006). The groups demonstrated similar postsurgical and neuroendocrinological outcomes. Postoperative median (IQR) progression-free survival did not significantly differ between groups (19.0 [7.0–37.0] for ACP vs 5.0 [3.5–7.5] months for PCP, p = 0.972). ACP patients were more likely to receive radiation after surgery (27.8% vs 15.2%, p = 0.012). CONCLUSIONS This large multicenter descriptive study aimed to characterize similarities and differences between the clinical courses of molecularly distinct ACP and PCP, which has not previously been described. The findings should serve as a baseline to inform future studies, particularly with the recent introduction of targeted therapy for PCP.

OBJECTIVE Craniopharyngiomas are challenging lesions, and aggressive resections may cause significant postoperative morbidity and mortality. To mitigate morbidity, a potential strategy of subtotal resection (STR) and adjuvant radiation therapy (RT) has been used, but its impact on survival when compared to gross-total resection (GTR) has been under-investigated. Thus, the objective of this study was to analyze short-term mortality between patients undergoing STR ± RT and GTR, and differences in overall survival (OS) between patients undergoing STR, STR + RT, and GTR in a large, nationally representative database. METHODS The authors queried the National Cancer Database for patients diagnosed with craniopharyngioma between 2004 and 2017. Tumor characteristics, treatment strategies, and extent of resection were analyzed. Endpoints were 3-month mortality rate and OS, which were compared between treatment modalities. Firth’s logistic regression was used to analyze 3-month mortality and was adjusted for age, sex, Charlson Comorbidity Index score, histopathological diagnosis, income quartile, insurance payor, and maximal tumor diameter. Differences in survival between treatment modalities were compared with log time-to-event analyses after excluding deaths occurring within 3 months to control for immortal time bias. RESULTS A total of 1460 adult and 390 pediatric patients were included. Adults undergoing STR ± RT had a lower rate of 3-month mortality compared to those undergoing GTR in adjusted analysis (2.8% vs 4.6%, odds ratio 0.42; p = 0.03). Survival curves for the STR + RT and GTR cohorts did not significantly differ (p = 0.198). A strategy of STR alone showed worse OS compared with GTR and STR + RT (p < 0.01). The average follow-up length for adults was 65.5 months. For pediatric patients, 3-month mortality for those undergoing GTR and STR ± RT was similar (0% vs 1%, respectively; p = 0.33). Additionally, compared to GTR, there were no significant differences in OS between STR + RT (p = 0.41) and STR alone (p = 0.44). The average follow-up length for the pediatric cohort was 79 months. CONCLUSIONS STR + RT was associated with a favorable perioperative mortality profile when compared with GTR and provided similar long-term survival outcomes. Therefore, STR + RT may be considered when GTR carries significant risks.

OBJECTIVE Frailty is a known predictor of adverse outcomes in pituitary surgery, yet its impact regarding craniopharyngioma remains unclear. The authors assessed preoperative frailty, measured by the 11-factor modified frailty index (mFI-11), and its association with perioperative morbidity among adult patients undergoing craniopharyngioma surgery. METHODS Using the Registry for Adenomas of the Pituitary and Related Disorders (RAPID) database, the authors performed a retrospective cohort study of the records of patients ≥ 18 years of age who underwent craniopharyngioma surgery between June 2007 and November 2024. Patients were stratified into the following categories according to their numeric mFI-11 score: fit (scores 0 and 1), managing well (scores 2 and 3), and mildly frail (scores 4–6). Primary outcomes included hospital length of stay (LOS) and discharge disposition. Secondary outcomes included 90-day readmission, surgical outcomes, and complications. Multivariable analyses were performed to identify independent predictors of hospital LOS and non-home discharge, adjusting for age, surgeon experience, American Society of Anesthesiologists class, complications, and surgical approach. RESULTS Among 278 patients (221 fit, 43 managing well, 14 mildly frail), higher-frailty patients were older (mean age 47.8 ± 16.1 years in fit vs 60.1 ± 12.5 years in managing well vs 67.6 ± 8 years in mildly frail, p < 0.001) and more likely to present urgently (24.2% vs 36.4% vs 78.6%, p = 0.001). Gross-total resection was achieved less frequently in frail patients (44.8% vs 24.3% vs 23.1%, p = 0.030). Overall complication rates were similar; however, increasing frailty was associated with higher rates of postoperative mortality (0% vs 2.8% [1/36] vs 7.7% [1/13], p = 0.018), pneumonia (0.5% [1/195] vs 2.8% [1/36] vs 15.4% [2/13], p = 0.006), and reintubation (2.6% [5/195] vs 2.8% [1/36] vs 30.8% [4/13], p = 0.002). Higher frailty was associated with a stepwise rise in median [IQR] LOS (5 [3–8] days vs 7 [4–12] days vs 13 [6.5–21.8] days, p < 0.001) and remained an independent predictor of extended LOS on multivariable analysis (β = 1.729 per point, p = 0.006). Rates of non-home discharge showed a similar pattern (9.2% vs 30.0% vs 64.3%, p < 0.001), with frailty independently predicting non-home discharge (OR 2.352, 95% CI 1.527–3.822). Unplanned 90-day readmission rates were significantly higher in the mildly frail cohorts (22.5% vs 45.7% vs 53.8%, p = 0.002). CONCLUSIONS The mFI-11 scores independently predicted perioperative morbidity following craniopharyngioma resection. Incorporating frailty screening into preoperative screening may improve risk stratification, family and patient counseling, and discharge planning.

OBJECTIVE Craniopharyngiomas are benign intracranial tumors that can be difficult to manage operatively and often result in postoperative complications and prolonged recovery. Understanding the factors that influence length of stay (LOS), discharge disposition, and readmission can guide perioperative planning and patient counseling. The authors examined the clinical, radiographic, and surgical predictors of extended LOS (eLOS), nonhome discharge, 90-day readmission, and hospitalization ratio (HR) after craniopharyngioma resection using a large, multicenter cohort. METHODS A retrospective analysis was conducted using the Registry of Adenomas of the Pituitary and Related Disorders database, encompassing 469 patients who underwent craniopharyngioma resection at 14 US academic centers from 2011 to 2025. Patients were stratified by 4 outcomes: eLOS (> 75th percentile), discharge to home versus skilled nursing facility/rehabilitation, 90-day hospital readmission, and hospitalization ratio (i.e., integration of initial and readmission LOS). Multivariable logistic regression models identified independent predictors for each outcome among patient and surgical variables. RESULTS An eLOS (> 10 days) was independently associated with preoperative memory loss (OR 3.75, 95% CI 1.95–7.21), gait imbalance (OR 5.90, 95% CI 1.53–22.70), and postoperative complications (OR 4.07, 95% CI 2.34–7.06). The use of a nasoseptal flap was protective against an eLOS (OR 0.52, 95% CI 0.28–0.93). Discharge to home was predicted by an endoscopic approach (OR 3.87, 95% CI 1.78–8.44) and postoperative intact thirst (OR 2.22, 95% CI 1.05–4.66) and negatively predicted by preoperative diabetes mellitus (OR 0.21, 95% CI 0.09–0.50), LOS (OR 0.87, 95% CI 0.84–0.91), and postoperative cognitive dysfunction (OR 0.30, 95% CI 0.13–0.72). Among 385 patients with follow-up data, a 90-day readmission was independently associated with postoperative complications (OR 5.62, 95% CI 3.12–10.13), preexisting coronary artery disease (OR 4.30, 95% CI 1.46–12.69), and postoperative cognitive dysfunction (OR 3.33, 95% CI 1.76–6.44). A higher HR was associated with diabetes mellitus (unstandardized B 0.059, 95% CI 0.010–0.108, p = 0.02), postoperative complications (unstandardized B 0.054, 95% CI 0.021–0.086, p = 0.001), and postoperative cognitive dysfunction (unstandardized B 0.049, 95% CI 0.006–0.092, p = 0.02). Tumor pathologic subtype and size, prior treatment, extent of resection, and surgeon experience were not directly predictive of outcomes. CONCLUSIONS Cognitive and functional status, systemic comorbidities, and postoperative complications, in addition to surgical approach, are important predictors of the early clinical course after craniopharyngioma surgery. Early identification of high-risk patients may help to guide treatment decisions, improve discharge planning, and reduce healthcare utilization.

Abstract Background Three-dimensional visualization and quantitative analysis of cerebral arteries on 3DRA are central to endovascular treatment planning, device selection, and cerebrovascular research. Manual segmentation is time-consuming and operator-dependent, yet no open-source deep learning model has been prospectively validated for this task on 3DRA. Methods A nnUNet v2 model was trained for binary cerebral artery segmentation on 400 consecutive 3DRA acquisitions from three angiographic systems, comparing four configurations across architectures and loss functions. The best-performing configurations were prospectively validated on 40 patients using a dual approach: quantitative metrics (DSC, clDice, HD95, ASD, Precision, Recall), and blinded expert qualitative evaluation by two interventional neuroradiologists assessing 12 arterial segments, a global quality score, and clinical usability across 40 test cases. Results The ensemble model achieved median DSC 0.917, clDice 0.932, and HD95 1.494 mm. Global quality scores were significantly lower for nnUNet v2 than for expert segmentations (median 4 vs 5, p<0.001), but nnUNet v2 segmentations were rated clinically usable in 88–90% of cases versus 95–98% for expert segmentations, without significant difference on the binary usability criterion. A consistent proximal-to-distal quality gradient was identified, with comparable scores at proximal arteries and the largest differences at distal arterial segments. Conclusion nnUNet v2 with topology-aware training provides clinically usable cerebral artery segmentations on 3DRA, prospectively validated through both quantitative metrics and structured expert qualitative assessment, and represents a reproducible open-source foundation for endovascular and research applications.

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor–recipient matching, intraoperative management, and post-transplant care. Historically, applications have relied on traditional machine learning (ML) and deep learning (DL) techniques trained on structured clinical datasets to improve risk stratification and outcome prediction. Since 2023, however, advances in generative AI (GenAI) and large language models (LLMs) have expanded the scope of AI in LT, enabling multimodal reasoning and the extraction of clinically meaningful information from unstructured data. This review synthesizes recent AI-driven developments across the LT patient journey, from advanced chronic liver disease management to long-term post-transplant outcomes. Representative applications include ML-based models to optimize treatment selection and waitlist prioritization for hepatocellular carcinoma, random forest and gradient-boosting approaches to improve donor utilization and predict graft survival, and DL-based imaging models for graft volumetry and steatosis assessment. Post-transplant innovations encompass neural network models for graft injury classification, recurrent architectures for immunosuppression dosing and fibrosis prediction, multi-task frameworks for complication risk stratification, and integrative omics-based approaches to detect rejection and dysfunction. Emerging GenAI applications include LLM-enabled digital phenotyping of social determinants of health and multi-agent simulations of transplant selection committees. Despite rapid progress, translation into routine practice remains limited by challenges in local validation, workflow integration, and infrastructure requirements. Future opportunities lie in incorporating underutilized data domains, such as psychosocial factors, -omics, and intraoperative physiologic streams, and leveraging GenAI to enhance clinical decision support, research scalability, and patient–clinician communication. AI is poised not only to refine prediction but to reshape the conceptual and operational landscape of liver transplantation.

Background: Tendinopathies are common in middle-aged women. While estrogen regulates tendon remodeling, the influence of systemic hormone replacement therapy (HRT) on the risk of tendon degeneration remains unclear. Hypothesis/Purpose: The purpose of this study was to investigate the association between systemic HRT use and tendon injuries/repair in perimenopausal women. It was hypothesized that systemic HRT would be associated with an increased incidence of tendon injuries and repair. Study Design: Cohort study; Level of evidence, 4. Methods: Using the TriNetX Research Network, we identified female patients aged ≥45 years diagnosed with major tendon abnormalities, including rotator cuff tears, bicipital tendinitis, lateral or medial epicondylitis, Achilles tendinopathy, patellar tendinitis, or quadriceps strain, from January 2004 to July 2025. HRT exposure was defined as systemic estrogen and/or progestin use within 1 year before a diagnosis. Patients with contraindications to HRT were excluded. After 1:1 propensity score matching, 2 groups of 63,836 patients each were generated. Primary outcomes included diagnosis rates of specific tendon conditions; secondary outcomes were lifetime rates of corresponding tendon repair procedures. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. The independent t test and chi-square test were used for analysis. Results: HRT users had significantly higher rates of several tendon abnormalities compared to matched controls, including rotator cuff tears (39.2% vs 37.9%, respectively; P < .001), bicipital tendinitis (13.3% vs 11.0%, respectively; P < .001), lateral epicondylitis (27.8% vs 22.7%, respectively; P < .001), and medial epicondylitis (6.8% vs 5.3%, respectively; P < .001). Achilles tendinopathy had similar rates between the 2 groups (14.6% vs 14.5%, respectively; P = .387). Surgical repair was more common in the HRT group, including biceps tendon repair/tenodesis (3.9% vs 3.3%, respectively; OR, 1.16 [95% CI, 1.10-1.23]; P < .001), rotator cuff repair (6.6% vs 6.2%, respectively; OR, 1.06 [95% CI, 1.01-1.11]; P = .013), and Achilles tendon repair (0.7% vs 0.6%, respectively; OR, 1.23 [95% CI, 1.06-1.41]; P = .005). Conclusion: Our study showed that systemic HRT use in women aged ≥45 years was associated with an increased risk of tendon injuries and a greater likelihood of surgical repair, although the absolute risk differences were modest. These findings underscore the need for awareness of the possible musculoskeletal effects of hormone therapy and highlight an underexplored area in women's orthopaedic health.

ABSTRACT Background Inflammation plays a critical role in cancer cell proliferation; however, the specific role of inflammasomes, multiprotein complexes that regulate inflammation‐associated signaling pathways, in prostate cancer (PCa) remains insufficiently explored. This study aims to characterize the expression of inflammasome‐related genes in PCa and evaluate their association with clinical outcomes. Methods De‐identified transcriptome data from the Decipher GRID RP, a cohort of 52,266 radical prostatectomy (RP) samples tested (2016–2024) with the Decipher prostate genomic classifier (Veracyte, San Diego, CA), were retrieved from the GRID registry (NCT02609269). Expression analysis of 34 genes involved in inflammatory pathways was conducted to associate their expression with clinical and genomic variables. Outcomes analyses were conducted on a retrospective cohort of 855 patients treated with RP (META855). Results Analysis of inflammasome gene expression in the GRID RP cohort revealed that most genes exhibit low baseline expression, whereas HSP90AB1, APP, TXN, and TXNIP demonstrate strong expression signals. Additionally, higher expression of most genes was associated with Gleason Grade Group 4–5 and very high Decipher scores. On survival analysis of the META855 cohort, higher expressions of AIM2 and HSP90AB1 were significantly associated with worse metastasis‐free survival. Conversely, both high and low expression levels of NLRP3 were associated with better metastasis‐free survival outcomes following RP compared to average expression. On multivariable Cox regression analysis, higher expressions of AIM2 (HR 1.75) and HSP90AB1 (HR 1.60) were significantly associated with shorter time to metastasis following RP. Conclusions There is molecular heterogeneity within pro‐inflammatory genes among patients with PCa. Our findings showed there is a potential association between the expression levels of certain inflammasomes, such as AIM2, HSP90AB1, and NLRP3, and oncological outcomes following RP.

ABSTRACT Background Patients with end‐stage renal disease (ESRD) undergoing dialysis have an increased risk of pacemaker‐related complications due to limited vascular access and increased susceptibility to infection. Leadless pacemakers (LPMs) may mitigate these risks compared with conventional transvenous pacemakers (TPMs), but long‐term comparative data in this population remain limited. Methods We conducted a retrospective cohort study using the TriNetX Research Network, including adults (≥ 18 years) with ESRD on dialysis who underwent LPM or TPM implantation between May 2016 and December 2020. Propensity score matching (1:1) was performed using demographics and comorbidities. Outcomes assessed over up to 5 years included all‐cause hospitalization, heart failure hospitalization, device re‐intervention, device‐related complications, infection‐related hospitalization, pacemaker‐induced cardiomyopathy, and all‐cause mortality. Results After matching, 901 patients were included in each group with well‐balanced baseline characteristics. LPM implantation was associated with a significantly lower risk of device re‐intervention compared with TPM (4.1% vs. 9.3%; hazard ratio [HR] 0.44; 95% confidence interval [CI] 0.28–0.69; p < 0.01). There were no significant differences between groups in all‐cause hospitalization (65.5% vs. 68.3%; p = 0.22), heart failure hospitalization (26.9% vs. 30.2%; p = 0.13), all‐cause mortality (37.5% vs. 35.3%; p = 0.34), device‐related complications (14.5% vs. 14.3%; p = 0.94), infection‐related hospitalization (1.6% vs. 2.1%; p = 0.35), or pacemaker‐induced cardiomyopathy (9.0% vs. 8.6%; p = 0.66). Conclusion In a large, propensity‐matched cohort of patients with ESRD on dialysis, LPMs were associated with fewer device re‐interventions and comparable long‐term clinical outcomes compared with TPMs.