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Aim Incorporating patient-reported outcomes (PROs) into clinical practice and real-world research is essential to enable a more holistic assessment of treatment effectiveness, beyond migraine frequency alone. Given the number of calcitonin gene-related peptide (CGRP)-targeted treatments available, switching between CGRP-targeted preventive therapies is a common practice. Real-world evidence on switching to intravenous eptinezumab in adults with migraine for whom prior subcutaneous or oral CGRP-targeted preventive therapies failed is limited. The ongoing INFUSE study was designed to evaluate the real-world effectiveness of switching to eptinezumab in US clinical practice among adults with migraine for whom ≥1 prior CGRP-targeted preventive therapy had failed. Methods INFUSE, a real-world, non-interventional study evaluating the effectiveness of eptinezumab in US clinical practice, included adults with migraine for whom ≥1 prior CGRP-targeted preventive therapy had failed and who were newly initiating eptinezumab treatment. PROs were collected electronically. To provide an overall assessment of the change in migraine disease, Patient Global Impression of Change (PGIC) was utilized. Other outcomes allowed for the evaluation of novel end points, such as brain fog and participant-defined good days. Results The baseline population included 190 participants (female, 88.9%; 35–54 years of age, 53.7%). At month 6, 44.1% (95% confidence interval (CI): 35.3–53.4%) of participants reported “much/very much improved” on PGIC, and 75.7% (95% CI: 66.9–82.7%) reported any improvement. Mean good days increased by 6.3 per month at month 6 ( P < 0.001). Among participants reporting brain fog at baseline (93.7%), 55.8% (95% CI: 46.2–64.9%) reported improvement at month 6. Conclusion This research provides insights into capturing the broader migraine burden and the holistic impact of preventive treatment and highlights the potential for achieving ambitious goals. In this population for whom ≥1 prior CGRP-targeted preventive therapy had failed, switching to eptinezumab was associated with participant-reported, clinically meaningful improvements in PROs, including frequency, disability, disease status, and brain fog.

BACKGROUND Thyroid-stimulating hormone (TSH)–secreting pituitary adenomas (TSHomas) are rare lesions that result in secondary hyperthyroidism. MR elastography (MRE) is an emerging imaging modality capable of assessing the mechanical properties of tissues, offering valuable insights into tumor consistency for improved preoperative planning and resection. OBSERVATIONS A 16-year-old female diagnosed with a giant TSHoma underwent endoscopic transnasal transsphenoidal excision. The mechanical properties of TSHoma were assessed using preoperative MRE and in vitro nanoindentation on excised specimen. Collagen content was also evaluated. Based on its appearance on MRE, a neuroradiologist predicted the tumor would be soft, and it was found to be soft during the surgery. Interestingly, the in vitro shear storage and loss moduli closely match the in vivo findings. Additionally, the tumor tissue has up to 20% collagen content in intratumoral areas. LESSONS MRE is a reliable and clinically valuable tool for preoperative evaluation of tumor consistency in rare TSHomas. The strong concordance between MRE findings, intraoperative texture, and in vitro mechanical measurements underscores the potential of MRE to guide surgical planning, reduce operative complexity, and improve clinical outcomes, especially in uncommon and challenging cases. https://thejns.org/doi/10.3171/CASE25402

Abstract Glioblastoma progression is spatially heterogeneous, but conventional imaging provides limited information about where subsequent tumor progression is likely to occur. We developed a directional magnetic resonance elastography (MRE) framework to test whether local post-treatment tumor–brain interface mechanics are associated with later spatial tumor progression. In a secondary analysis of a prospectively acquired glioblastoma cohort, wedge-level viscoelastic instability features were extracted from the first post-treatment MRE scan and related to novel tumor burden on the second post-treatment scan after excluding tumor already present on pretreatment or first post-treatment imaging. Nine patients had longitudinal imaging suitable for spatial comparison; six lesions showed net interval growth and were included in the primary wedge-level directional analysis, while three non-growing lesions were retained for descriptive comparison. In growing lesions, several directional mechanical features were descriptively associated with later novel tumor burden. In cluster-aware models accounting for within-patient dependence among wedges, mean Δtanδ showed the most consistent association with later wedge-level novel tumor fraction across mixed-effects and generalized estimating equation analyses. Associations were directionally stable across wedge-width sensitivity analyses. These findings provide proof of principle that post-treatment glioblastoma interface mechanics contain spatially resolved information related to where later tumor emergence occurs, supporting further validation of directional MRE as a framework for longitudinal mapping of progression geometry.

Abstract Femoroacetabular impingement with cam morphology that fails nonoperative management can be addressed with hip arthroscopy and cam resection. There exists a wide variation of cam morphology due to various etiologies that can make some cam lesions more challenging to address. A thorough preoperative evaluation and the utilization of a variety of intraoperative techniques can allow for adequate arthroscopic resection of these otherwise challenging cam lesions. In this technique video, we describe a systematic approach for the preoperative assessment of femoroacetabular impingement due to a cam lesion and consideration of different approaches for arthroscopic resection based on cam‐specific morphology.

Abstract This work presents a first-of-its-kind artificial intelligence (AI-)integrated MR pulse sequence that detects out-of-voxel (OOV) artifacts in real-time (within-TR) and responds prospectively by updating the crusher gradient scheme. Per Excitation Real-time Execution & Guided Responses with Integrated Neural-network Evaluation (PEREGRINE), allows for deployment of deep learning models and pulse sequence updates. In this study, PEREGRINE operated a time-domain (TD) and frequency-domain (FD) convolutional autoencoder that detect OOV artifacts. Scans without (AI-off) and with (AI-on) updates were collected from the medial prefrontal cortex of healthy volunteers using a MEGA-edited MRS experiment. The degree of OOV contamination (OOV Score) was quantified per transient based upon the prevalence of OOV signals in the TD and FD data. OOV Scores above a user-defined threshold triggered an update of the crusher gradient scheme, iterating through 48 permutations (6 axis transpositions × 8 polarity flips). Within each 2-second TR, PEREGRINE successfully provided single-transient OOV Scores and updated gradients accordingly. No difference was observed between the OOV Scores from the full (“Full” condition) AI-on and AI-off sessions due to the AI-on scan cycling over better and worse gradient permutations relative to the AI-off scan. However, the AI-on scan had significantly lower OOV Scores than the AI-off scan when selecting the transients where PEREGRINE persisted (“Dwell” condition) on a given gradient permutation. Ultimately, Fit Quality Number (FQN) from linear combination modeling improved significantly for the AI-on compared to the AI-off scan. PEREGRINE enabled an adaptive and AI-integrated sequence allowing for real-time evaluation and response to OOV artifacts, identifying gradient modifications that produced less OOV contamination. Graphical Abstract Graphical Abstract Summary PEREGRINE, Per Excitation Real-time Execution & Guided Responses with Integrated Neural-network Evaluation, allows for pulse sequence updates using on-scanner deployed neural networks. To demonstrate the utility, PEREGRINE was used to operate two neural networks (time/frequency domain), trained to detect out-of-voxel artifacts, during a MEGA-edited MRS experiment in the prefrontal cortex. When artifacts were detected, PEREGRINE updated the crusher gradients within the same TR. Real-time, adaptive, and AI-driven MR will provide a long-awaited solution for combatting artifacts and poor data quality. Graphical Abstract Figure

Background: Clostridioides difficile infection (CDI) is well-recognised as a cause of flare in inflammatory bowel disease (IBD). Objectives: To prospectively evaluate CDI as a cause of flare in moderate-to-severe ulcerative colitis (UC) and perform a region-specific systematic review to evaluate the role of CDI in IBD patients in South Asia. Design: A single-centre prospective observational study followed by a region-specific systematic review. Data sources and methods: The observational study was conducted between December 2024 and December 2025 and included patients with moderate-to-severe UC flares. Triple testing using Stool glutamate dehydrogenase (GDH), an enzyme immunoassay (EIA) for toxin A/B, and polymerase chain reaction (PCR) testing was performed. A literature search in PubMed, Embase, and Scopus was conducted on 5th December 2025 to identify relevant studies from South Asia. Information on the study population (IBD type, age, gender, disease activity), the testing method, and the outcomes of CDI testing were extracted. The pooled prevalence of CDI was estimated using a random-effects model. The risk of Bias was assessed using Joanna Briggs’ tool. Results: Of the 101 patients with active UC, 59 had acute severe UC. Six patients tested positive for GDH, whereas only one tested positive for EIA and PCR. A total of 13 studies reporting on 1267 patients were included in the systematic review. Pooled prevalence of CDI was 0.06 (0.03–0.11, I 2 = 80.8%). Subgroup analyses were performed by testing method, study type, and region. However, there was persistent statistical heterogeneity. Funnel plot and Egger’s test suggested the presence of publication bias. Conclusion: Our observational study shows a low prevalence of CDI as a cause of UC flares. The findings of the systematic review suggest high variability in the CDI positivity across South Asia. These differences were not fully explained by the method of testing, the type of study, or the geographic location of the study.

Abstract Background and aims BotulinumtoxinA (BoNT-A) is a guideline-recommended treatment for spasticity following stroke. We evaluated BoNT-A treatment persistence drivers of discontinuation and predictors of non-persistence in patients with stroke. Methods Eligible adults had received ≥1 treatment cycle with BoNT-A at the Mayo Clinic (January 2010–June 2023) and had an International Classification of Diseases (ICD9/10) code for stroke. Patients with ICD9/10 codes for migraine, cerebral palsy, cervical dystonia, or bladder dysfunction were excluded. Index date (baseline) was the date of first BoNT-A treatment; follow-up was 2 years post-index. Patients were persistent if all treatment intervals post-index were ≤the 80th percentile of all patients. Reasons for discontinuation were identified by AI natural language processing analysis of physicians’ free-text notes. Baseline characteristics associated with non-persistence were identified using step-wise logistic regression analyses. Results Overall, 407 patients were included. The 80th percentile of the BoNT-A treatment interval was 154 days; 5.7% of patients were persistent. Mean (95%CI) number of BoNT-A treatments over the 2-year follow-up was 2.43 (2.24–2.63) cycles. Comorbidity burden was high (Table 1). The most common reasons for BoNT-A discontinuation were patient- and physician-reported lack of treatment effectiveness (Table 2). Older age, Hispanic/Latino/unknown/undisclosed ethnicity, presence of comorbidities, and use of medications of interest at baseline (skeletal muscle relaxants, antidepressants, anticonvulsants, opiates, sedatives/hypnotics, NSAIDs) were significantly associated with non-persistence (Table 3). Conclusions Over 2 years, BoNT-A treatment persistence was low. Lack of treatment effectiveness was the most common reason for discontinuation. Addressing drivers of non-persistence may help improve BoNT-A treatment outcomes. Conflict of interest Funding: Ipsen. Disclosure of Conflicts of Interest: Michael Wainberg: has received consulting fees from Ipsen. Billie Schultz: has received consulting fees from Ipsen. Jinming Zhang, Simon Page, Jonathan Bouchard, Amandeep Mann, Mathieu Beneteau are employees of Ipsen. Table 1 - belongs to Conclusions Table 2 - belongs to Conclusions Table 3 - belongs to Conclusions

Introduction In recent years collared femoral stems have been increasingly utilized in total hip arthroplasty (THA) for their ability to improve rotational stability, metaphyseal load transfer, and prevent periprosthetic femoral fracture (PFF). While literature has demonstrated their benefit over collarless stems, the clinical and biomechanical implications of a postoperative collar–calcar gap (CCG) after implantation remain incompletely understood. Objective The purpose of this scoping review was to evaluate existing literature around CCG in primary THA. Methods A PRISMA Scoping Review literature search was conducted across Ovid MEDLINE, Embase, Cochrane CENTRAL, and Scopus databases. Studies were included if they reported CCG incidence, subsidence, remodeling, or biomechanical performance in primary THA. Two independent reviewers screened studies and extracted data, and clinical study quality was assessed using the Newcastle–Ottawa Scale. Results A total of 408 studies were identified and 11 met inclusion criteria. The incidence of postoperative CCG varied from 18.7% to 53.9%. Most gaps demonstrated closure over time (66–76%). Biomechanical and finite element studies showed improved stability, reduced micromotion, and decreased periprosthetic fracture risk when direct collar–calcar contact was achieved. In contrast, stems with persistent gaps demonstrated increased subsidence (up to 19% vs 1.3%) and biomechanical behavior comparable to collarless designs. Conclusion CCG is common following THA. The majority of gaps resolve, however biomechanical evidence demonstrates that the advantages of collared stems depend on calcar contact. Preventing CCG may optimize early implant stability, though surgical technique must balance mechanical engagement with preservation of proximal femoral bone stock.