Citations

Abstract Anaplastic large cell lymphomas (ALCLs) are CD30+ T-cell lymphomas that share pathologic features but differ in presentation, outcome, and genetics. Current classification incorporates clinical presentation and anaplastic lymphoma kinase (ALK) status but inadequately addresses molecular heterogeneity and therapeutic vulnerabilities. We studied 689 patients with ALCL in the LLMPP (Lymphoma/Leukemia Molecular Profiling Project) and performed expert consensus review, genetic subtyping (ALK, DUSP22, TP63, and triple negative), and immunohistochemistry for phosphorylated STAT3Tyr705. RNA sequencing with unsupervised gene expression profiling in 393 patients identified 2 main molecular types of ALCL that could be predicted with 91% accuracy based on the presence (type I) or absence (type II) of phosphorylated STAT3Y705 expression. Type I ALCLs included ALK+ ALCL and a subset of triple-negative ALCLs (TN-I); type II ALCLs included tumors with DUSP22 and/or TP63 rearrangements and the remaining triple-negative ALCLs (TN-II). Type I ALCLs were enriched for JAK-STAT3, whereas type II ALCLs were enriched for non–tyrosine kinase pathways, particularly epigenetic regulators such as EZH2. Immunohistochemistry showed overexpression of EZH2 and its trimethylated substrate H3K27. Prognosis in systemic ALCL was favorable for DUSP22-rearranged ALCL (5-year overall survival, 95%) and ALK+ ALCL (88%), intermediate for triple-negative ALCL (TN-I, 52% and TN-II, 37%), and poor for TP63-rearranged ALCL (0%). We introduce an integrated molecular classification that preserves currently diagnosed ALCL entities but identifies 4 molecularly distinct ALK− ALCL subtypes (DUSP22-rearranged, TP63-rearranged, TN-I, and TN-II). This classification can be easily implemented on paraffin tissue in routine practice or clinical trials, and stratifies ALCL into diagnostically, prognostically, biologically, and potentially therapeutically relevant subtypes.

Background Contact aspiration remains a frontline approach for mechanical thrombectomy (MT) in acute ischemic stroke (AIS). Early evidence correlates catheter size with procedural efficiency and clinical outcomes. Larger‐bore (LB) aspiration catheters may enhance clot ingestion, increase aspiration force, and facilitate faster and more complete recanalization. However, the transition from standard LB catheters (0.068‐0.072″) to super‐large‐bore (SLB, ≥0.080″) devices has raised questions regarding both safety and clinical benefit. Although the use of SLB catheters is increasing, comparative data on their performance versus LB catheters remain limited. This study aims to evaluate the safety and efficacy of SLB compared with LB catheters including data from a large multicenter international registry. Methods We retrospectively analyzed patients with AIS due to LVO treated at 46 international stroke centers between January 2013 and June 2025. Among eligible patients, propensity score matching (PSM) at a 5:1 ratio was used to balance baseline characteristics between those treated with standard LB catheters and those treated with SLB catheters. Safety endpoints included intraprocedural complications, symptomatic intracranial hemorrhage (sICH), distal embolization, and 90‐day mortality. Efficacy endpoints included functional independence at 90 days (modified Rankin Scale [mRS] 0‐2), successful recanalization (TICI ≥2b), first‐pass effect (TICI ≥2b on the first aspiration attempt), and procedural timing to TICI2b. Results A total of 3,100 patients were included (LB n=3,024; SLB n=67). After PSM (LB n=335; SLB n=67), safety outcomes were comparable between groups in terms of intraprocedural complications occurred (p=0.5), sICH (p>0.9), embolization to new territory (p=0.2), and 90‐day mortality (p>0.9). Efficacy outcomes were similarly consistent for functional independence (mRS 0‐2) (p>0.9), successful recanalization (p>0.9), first‐pass effect (p=0.5), and time to TICI ≥2b (27.6 vs. 24.5 minutes; p=0.9). These findings remained consistent in the subgroup with ICA and M1 occlusions, with no significant differences in safety (intraprocedural complications [p=0.4], sICH [p>0.9], embolization to new territory [p=0.6], or 90‐day mortality [p>0.9], nor in efficacy outcomes (functional independence at 90 days [p>0.9], successful recanalization [p=0.9], first‐pass effect [p=0.6], and time to TICI ≥2b [p=0.9]). Conclusion In this large multicenter analysis, the use of SLB aspiration catheters demonstrated comparable safety and efficacy to standard LB catheters for MT in AIS. Despite theoretical advantages in aspiration dynamics, SLB devices did not confer significant procedural or clinical benefit over LB catheters. These findings suggest that while SLB catheters are a feasible alternative, technical and clinical outcomes remain comparable to LB catheters. Further prospective studies are warranted to clarify potential clinical advantages. image

Background The efficacy of EVOKE therapy, a closed-loop spinal cord stimulation (SCS) system, has been demonstrated in a double-blinded randomized controlled trial (RCT). RCT evidence, however, may not be generalizable to clinical practice, while limitations of real-world evidence may affect its validity. The aim of this study was to evaluate the effectiveness of EVOKE therapy in routine clinical practice employing a rigorous data collection approach. Methods The ECAP study was a prospective, multicenter, single-arm, pragmatic study that enrolled SCS candidates with chronic, intractable trunk and/or limb pain in 22 US investigational sites. PROMIS-29 questionnaire and objective neurophysiological metrics were collected, and minimal clinically important differences (MCIDs) were used to characterize baseline dysfunction and response to EVOKE therapy both at trial end and maximal analgesic effect post-implant visit. Pre-specified subgroup analyses were conducted based on diagnosis. Results EVOKE therapy observed included a dose ratio of 1.3 and neural dose accuracy of 2.8 μV. Improvements of >1 MCID were observed for all domains and improvements of ≥2 MCIDs were observed for six of the seven domains. Improvements observed at trial end were maintained or improved at post-implant visit, with statistically significant improvement in holistic MCID (MD 0.2, 95% CI 0.1 to 0.4, p=0.004), and a significantly greater proportion of patients considered holistic MCID responders (p=0.047). Subgroup analysis by diagnosis showed similar outcomes. Conclusions EVOKE therapy was associated with clinically meaningful improvements in a real-world chronic pain population across different subgroups and disease pathologies, with effects observed at trial end reproduced at post-implant visit.

ABSTRACT Alzheimer's disease (AD), a leading cause of dementia in the elderly, is traditionally characterized by neurodegeneration driven by amyloid‐beta plaques and tau tangles. However, emerging evidence reveals that AD's impact extends beyond the brain, significantly affecting skeletal health. This review integrates clinical and transgenic mouse model data to elucidate the mechanistic interplay between AD pathology and bone metabolism. AD patients exhibit increased risk for hip fractures and low bone mineral density (BMD), independent of cognitive impairment severity. We found altered calcium and alkaline phosphate levels in the blood of patients with mild cognitive impairment and AD, as assessed from the Alzheimer's Disease Neuroimaging Initiative data. Convergent risk factors—age, sex, APOE4 genotype, smoking, and vitamin D deficiency—contribute to both neurodegeneration and bone fragility. Key molecular pathways, such as Wnt/β‐catenin signaling and TREM2‐mediated osteoclast regulation, underscore shared mechanisms driving disease pathology in both systems. Mouse models of AD consistently demonstrate disrupted bone remodeling, impaired osteoblast function, and heightened osteoclast activity. Therapeutic strategies targeting overlapping pathways, including lithium, anti‐FSH antibodies, and NF‐κB inhibitors, show promise in mitigating both cognitive decline and bone loss. Collectively, these insights advocate for a more integrated view of AD that includes skeletal comorbidities, potentially guiding the development of dual‐purpose interventions.

Importance Accurate classification and reliability in assessment for lesions of hidradenitis suppurativa (HS) by investigators is critical to the determination of responder status and to overall data quality in clinical trials. Objective To establish consensus-based morphological definitions of HS lesions and guidance statements that standardize investigator lesion assessments for implementation in clinical trials. Evidence Review Health professionals (primarily dermatologists) with expertise in the measurement of HS disease activity as well as novice raters completed a preliminary questionnaire in which participants were asked to assess images of HS lesions and provide qualitative feedback on their decision making. Based on this feedback, detailed morphologic definitions for lesions and guidance statements that standardize lesion assessments were formulated and presented for consensus voting in 2 electronic Delphi surveys. A virtual group discussion after round 1 supported participants in round 2 voting. Findings Response rates were 84.7% (50 of 59), 86.0% (43 of 50), and 90.9% (40 of 44) in the preliminary, electronic Delphi round 1, and electronic Delphi round 2 surveys, respectively. Morphological definitions for 11 lesion types achieved the prespecified 70% consensus threshold, with 9 definitions reaching at least 90% agreement. After 2 electronic Delphi rounds, 16 of 18 guidance statements achieved the prespecified consensus threshold, with 13 statements receiving endorsement from more than 80% of participants. Two guidance statements related to assessment of tunneled plaques with multiple openings and assessment of scalp lesions failed to reach consensus. Conclusions and Relevance Common morphologic definitions and guidance that standardize assessment of HS lesions can be implemented in clinical trial protocols and investigator trainings with the goals of improving accuracy and reliability of investigator ratings.

Abstract Introduction This is the first International Consultation on Sexual Medicine (ICSM) position paper on sexual health in older adults. Physical, cognitive, and psychosocial factors create a unique set of challenges related to sexuality in older adults. Objectives This study explores the impact of the physiological aspects of aging, state of health, psychological, relationship-related, and sociocultural factors, on sexual health in older adults. The goal of this review is to provide recommendations for the comprehensive evaluation and treatment of this population. Methods A narrative review was conducted under the auspices of the ICSM, as part of its ongoing efforts to develop expert, evidence-based guidance in the field of sexual health. A multidisciplinary panel of international experts composed of specialists in urology, gynecology, psychiatry, sexual medicine, social work, and sex therapy was convened. A comprehensive literature review was conducted based on a search of psychological sources (PsycInfo), medical databases (PubMed, Medline), and Google Scholar. All retrieved articles were reviewed and critically assessed. Recommendations were then formulated using a modified Delphi method. Results Although there is extensive literature on the prevalence and risk of sexual challenges of adults over the age of 65, there is limited evidence regarding the quality of treatment modalities. In particular, there is scant data on women in this age group. This population faces specific and multifactorial challenges, which point to the need for a comprehensive approach to their care. Conclusion Any approach to sexual health in older adults needs to take all the factors that affect sexual health into account, while endorsing the full spectrum of sexual expression in a non-judgmental way. Individuals in a relationship should be offered a couple-centered approach. Special attention is needed for individuals in cognitive decline. Healthcare providers must be aware of ageist biases, which may prevent them from providing appropriate care.

Abstract Purpose This study investigates a novel optimization framework that integrates the newly developed MCF MKM relative biological effectiveness (RBE) model into intensity modulated particle therapy (IMPT) planning for carbon ion therapy. Unlike conventional RBE models such as MKM or LEM, the MCF MKM provides detailed microdosimetric information, which improves predictive accuracy of cell survival but elevates both memory and time requirement in the optimization process. Furthermore, to the implicit nature of the MCF MKM, the gradient information, which is essential in inverse planning, is hardly accessible. In response, a randomized gradient‐free optimization method (RGFM) was developed to mitigate the computational challenge and achieve improved RBE dose distributions. Materials and Methods An RBE dose optimization problem was formulated based on the discretized MCF MKM, known as the Abridged Microdosimetry Distribution Model (AMDM). The RGFM was derived to find feasible and high‐quality settings of monitor unit for IMPT plans without the need for explicit gradient calculations. To verify the clinical plausibility of the proposed method, it was tested on two clinical scenarios—prostate and brain cases in comparison with benchmark plans derived solely from physical dose optimization. Computational times and dose‐volume histograms (DVHs) for both physical and RBE doses were evaluated. Results The RGFM algorithm successfully optimized the MCF MKM‐based IMPT plans. Compared to the benchmark, the RBE dose distributions showed improved coverage of the target and reduced hot spots. Such improvements were observed to coincide with trade‐offs in physical dose distributions. The complexity of the MCF MKM extended the computational time, yet high‐quality solutions were attainable in a clinically reasonable timeframe. Multi‐field optimization (MFO) further enhanced target coverage and critical organ sparing over single‐field optimization (SFO). Conclusions This proof‐of‐principle study confirmed the feasibility of using a randomized gradient‐free method to optimize RBE dose based on the MCF MKM in IMPT planning for carbon ion therapy. The approach provides a pathway for clinical adoption of advanced RBE models, potentially leading to more biologically informed and effective carbon ion therapy treatments. Future work involves refining algorithms, incorporating parallel computing, and performing additional case studies to improve computational efficiency and generalizability.