Citations

Abstract Rehabilitation after musculoskeletal trauma is globally acknowledged as essential for restoring function and improving quality of life; however, significant variation exists in rehabilitation frameworks and services worldwide. Although certain principles—such as early intervention, structured care pathways, and multidisciplinary approaches—are universally recognized as important determinants of outcomes in trauma patients, their implementation and effectiveness vary considerably due to differences in health care infrastructure, economic resources, policy frameworks, and cultural contexts. Drawing on comparative analyses of rehabilitation frameworks across regions, including North America, Latin America, Europe, Asia-Pacific, and Africa, this paper identifies structural variations, systemic challenges, and innovations that can inform global rehabilitation efforts. Strategic international collaboration focusing on shared learning, standardized protocols, technology integration, and targeted investments is key to creating equitable and sustainable rehabilitation models, especially in resource-limited settings and aging populations.

Radiology is undergoing a paradigm shift from traditional single-function AI systems to sophisticated multi-agent networks capable of autonomous reasoning, coordinated decision-making, and adaptive workflow management. These agentic AI systems move beyond simple pattern recognition to encompass complex radiological workflows including image analysis, report generation, clinical communication, and care coordination. While multi-agent radiological AI promises enhanced diagnostic accuracy, improved workflow efficiency, and reduced physician burden, it simultaneously amplifies the long-standing “black box” problem. Traditional explainable AI methods, which are adequate for understanding isolated diagnostic predictions, fail when applied to multi-step reasoning processes involving multiple specialized agents coordinating across imaging interpretation, clinical correlation, and treatment planning. This paper examines how agentic AI systems in radiology create “compound opacity” layers of inscrutability from agent interactions and distributed decision-making processes. We analyze the autonomy–transparency paradox specific to radiological practice, where increasing AI capability directly conflicts with interpretability requirements essential for clinical trust and regulatory oversight. Through examination of emerging multi-agent radiological workflows, we propose frameworks for responsible implementation that preserve both diagnostic innovation and the fundamental principles of medical transparency and accountability.

Patient-derived organoids (PDOs) have emerged as powerful tools in personalized medicine applicable to both non-malignant conditions and to cancer, where they are increasingly used for personalized drug screening and precision treatment strategies in part due to their ability to replicate tumor heterogeneity. They also serve as study model systems to understand disease mechanisms, pathways, and the impact of ex vivo exposures. We present a detailed step-by-step protocol for generating organoids from normal crypts, polyps, and tumors, including methods for tissue processing, crypt isolation, culture establishment, and the transition from basolateral to apical-out polarity for co-culture and exposure-based studies. The protocol also includes immunofluorescence staining procedures for cellular characterization and quality control measures. Our standardized approach successfully generates organoids from diverse colorectal tissues with high efficiency and reproducibility. This comprehensive guide addresses common technical challenges and provides troubleshooting strategies to improve success rates across different sample types. We believe that this resource will enhance reproducibility in organoid research and expand their utility in translational applications, particularly for personalized medicine approaches in colorectal cancer.

Background The purpose of this study was to clarify the usefulness of the ‘hot cross bun’ sign (HCBS) as a diagnostic imaging marker in a large cohort of patients with multiple system atrophy (MSA) and spinocerebellar ataxia (SCA). Methods This multicentre study included 97 patients with neuropathologically confirmed MSA, and 105 patients with genetically confirmed SCA. Neuroimaging features, including HCBS and middle cerebellar peduncle (MCP) hyperintensities, were assessed. HCBS was graded from 0 to 2: 0, none; 1, only a vertical hyperintense line; and 2, a cruciform hyperintense line. The neuropathological correlates of HCBS were evaluated in 15 patients with MSA with ≤3 months between MRI and autopsy. Results In patients with a disease duration <3 years, grade 1 or 2 HCBS was detected in 100% patients with MSA with predominant cerebellar ataxia (MSA-C) and 39.0% with SCA; whereas grade 2 HCBS was observed in 50% with MSA-C and 2.4% with SCA. Moreover, the coexistence of grade 2 HCBS and MCP hyperintensities exhibited a specificity of 100%. A neuropathological assessment revealed myelin loss, alpha-synuclein aggregates and astrocytic reaction in the MCP, transverse fibres, central zone between longitudinal fasciculi and raphe nucleus, with relative preservation in the longitudinal fasciculi and medial lemniscus in patients with MSA and grade 2 HCBS. Conclusions Grade 1 or 2 HCBS is a highly sensitive finding in patients with MSA-C, and the observation of grade 2 HCBS within 3 years of motor symptom onset has excellent specificity for discriminating MSA-C from SCA, especially when accompanied by MCP hyperintensities.

Objective To investigate the diagnostic performance of perilesional biopsies (PLBx) compared to other biopsy strategies, assessing the impact of the Prostate Imaging‐Reporting and Data System (PI‐RADS) score and biopsy history in patients with a visible lesion at multiparametric magnetic resonance imaging of the prostate (mpMRI), as the European Association of Urology guidelines recommend combining MRI‐targeted biopsies (TBx) with PLBx as an alternative to systematic biopsies (SBx) even though evidence is limited. Patients and Methods We relied on a cohort of 2852 patients with PI‐RADS ≥3 lesions undergoing TBx + SBx at three tertiary referral centres. The primary outcome was detection of clinically significant PCa (csPCa) (International Society of Urological Pathology Grade Group [ISUP GG] ≥2) of TBx + PLBx vs TBx + SBx. Results were stratified by PI‐RADS score and biopsy history. The PLBx cores were defined as samples taken from prostate sectors adjacent to the mpMRI lesion. We finally assessed insignificant PCa (insPCa, i.e., ISUP GG 1) detection across biopsy strategies. Differences were assessed using the chi‐square test. Results Detection of csPCa was 48%. Overall, TBx + SBx had a higher csPCa detection rate than TBx + PLBx (50% vs 45%, P = 0.03), particularly in PI‐RADS 3 lesions (26% vs 21%, P = 0.02) and active surveillance (AS) patients (46% vs 40%, P = 0.04). No significant differences were found in PI‐RADS 4 (53% vs 50%, P > 0.1) or PI‐RADS 5 (76% vs 75%, P > 0.1). In the biopsy naïve and previous negative biopsy groups, csPCa detection was similar between strategies ( P > 0.1). Conclusions Overall, TBx + SBx offers the highest detection of csPCa. Even though TBx + PLBx may be considered in PI‐RADS 4–5 lesions to reduce insPCa detection, TBx + SBx remains the preferred strategy for PI‐RADS 3 and AS patients.

ABSTRACT Aldose reductase inhibitors (ARI) have been identified as a potential treatment for phosphomannomutase‐2 congenital disorder of glycosylation (PMM2‐CDG), a serious condition for which no treatments are approved. We treated a single patient for 36 months 30 months of age at enrollment, under a single‐patient investigational new drug expanded access request, with govorestat (AT‐007), a novel, highly selective, once daily, brain penetrant ARI at a starting dose of 1 mg/kg oral suspension, which was escalated to 30 mg/kg. The primary endpoint was safety. Secondary assessments included liver transaminases, factor XI, antithrombin III, and whole blood and urine sorbitol. Clinical outcomes were also assessed, including Nijmegen Pediatric CDG Rating Scale (NPCRS), Bayley Scales of Infant Development, and Vineland Adaptive Behavioral Scale. Govorestat was well tolerated; no adverse effects were noted. Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels improved from a pre‐treatment 12‐month average of 205 and 268 U/L to 63 and 68 U/L, respectively, averaged over 36 months of govorestat treatment at 30 mg/kg. Antithrombin III and factor XI fluctuated with illness throughout the study period but overall increased by 60%–100%, approaching the normal range (> 83% activity) at the 5 mg/kg dose. Whole blood sorbitol decreased in a dose‐dependent fashion, normalizing at the 30 mg/kg dose. The NPCRS improved by 9 points (46%) over the course of treatment. In conclusion, our patient tolerated govorestat without safety concerns. Improvements in liver transaminases, clotting factors, and whole blood sorbitol were observed along with improvements in clinical measures. These findings support further study of govorestat as a potential treatment for PMM2‐CDG.

Abstract Molecular profiling reveals that up to 40% of advanced biliary tract cancers (BTCs) harbor actionable genomic alterations amenable to matched targeted therapies. However, conventional trial designs typically evaluate these agents in pretreated populations, resulting in approvals for later-line use. Notably, 25–44% of patients with advanced BTC may become ineligible for treatment after first-line therapy due to disease progression or functional decline, thus the real-world survival outcomes with matched therapies remains poorly characterized. This international collaborative study includes data from Mayo Clinic, Duke Cancer Institute, and National Cancer Center East (Japan), as well as a combined dataset from the SCRUM-Japan GOZILA, MONSTAR-SCREEN-1, and MONSTAR-SCREEN-2 projects. We assessed overall survival (OS) of patients based on the presence of actionable alterations and the receipt of matched therapy. To adjust for confounding, we applied propensity score weighting with inverse probability of treatment and multivariate Cox regression modeling, controlling for age, sex, tumor location, prior resection, and mutational subgroup. Among 1,049 patients that were analyzed, 358 (34.1%) harbored actionable alterations, with 160 (44.7%) receiving matched targeted therapy. The matched group (patients with actionable tumors who received a matched therapy) were significantly associated with longer median OS (23.3 months; 95% CI: 19.5–30.4) compared to the unmatched group (14.7 months; 95% CI: 12.8–17.9) and those with non-actionable tumors (17.1 months; 95% CI: 15.5–18.7; HR 0.57, 95% CI: 0.46–0.71; p < 0.0001). The unmatched group also was associated with the lowest three-year OS rate (13% vs. 35% in matched and 19% in actionable groups, respectively; p<0.0001). On multivariable analysis with patients who received ≥2 lines of therapy, receipt of matched therapy remained an independent predictor of improved OS (HR 0.62; 95% CI 0.43–0.90). These findings support the early integration of targeted therapies in BTC management and underscore the need to overcome systemic barriers to treatment access.