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Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease type (invasive breast cancer, DCIS), and risk threshold. Methods: In a retrospective case–control study, we evaluated risk prediction performance in 180,398 women (161,849 of European ancestry; 18,549 of Asian ancestry). Odds ratios (ORs) from logistic regression models and the area under the receiver operating characteristic curve (AUC) were estimated. Results: PRS for invasive disease showed a stronger association in younger (<50 years) women (OR = 2.51, AUC = 0.622) than in women ≥ 50 years (OR = 2.06, AUC = 0.653) of European ancestry. PRS performance in Asians was lower (OR range = 1.62–1.64, AUC = 0.551–0.600). Gail performance was modest across groups and poor in younger Asian women (OR = 0.94–0.99, AUC = 0.523–0.533). Age interactions were observed for both PRS (p < 0.001) and Gail (p < 0.001) in Europeans, whereas in Asians, age interaction was observed only for Gail (invasive: p < 0.001; DCIS: p = 0.002). PRS identified more high-risk individuals than Gail in Asian populations, especially ≥50 years, while Gail identified more in Europeans. Overlap between PRS, Gail, and family history was limited at higher thresholds. Calibration analysis, comparing empirical and model-based ROC curves, showed divergence for both PRS and Gail (p < 0.001), which indicates miscalibration. In Europeans, family history and prior biopsies drove Gail discrimination. In younger Asians, age at first live birth was influential. Conclusions: PRS adds value to risk stratification beyond traditional tools, especially in younger women and Asian ancestry populations.

Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.

Abstract Disclosure: I. Bancos: Adrenas, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), AstraZeneca, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Corcept Therapeutics, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Diurnal, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), HRA Pharma, consulting, advisory board, data safety monitoring board fees (paid to institution outside this work), or funding for investigator-initiated research, Neurocrine, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), NovoNordisk, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Recordati Rare Diseases, consulting, advisory board, data safety monitoring board fees (paid to institution outside this work), or funding for investigator-initiated research, Sparrow, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Spruce, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work), Xeris, consulting, advisory board, or data safety monitoring board fees (paid to institution outside this work). F. Castinetti: HRA Pharma, consultancy for and research grants, Lundbeck, consultancy for and research grants, Recordati Rare Diseases, consultancy for and research grants. E.B. Geer: Corcept Therapeutics, research grants to her hospital, Recordati Rare Diseases, research grants to her hospital and occasional consulting honoraria, Sparrow, research grants to her hospital and occasional consulting honoraria, Xeris Pharmaceuticals (Strongbridge), research grants to her hospital and occasional consulting honoraria, Crinetics Pharmaceuticals, occasional consulting honoraria, HRA Pharma, occasional consulting honoraria, Lundbeck, occasional consulting honoraria, Member of the LINC 6 steering committee. S. Espiard: Recordati Rare Diseases, reports invitations to training courses and medical congresses. C. Mouly: Pfizer, consulting and advisory board fees, Recordati Rare Diseases, consulting and advisory board fees. L. Dichtel: Lumos Pharma, consultant and received research support to her hospital, Novo Nordisk, consultant and received research support to her hospital, Perspectum, received research support to her hospital, Recordati Rare Diseases, research support to her hospital, Flare Therapeutics, consultant, Marea Therapeutics, consultant and has equity in company, Third Rock Ventures, consultant, Merida Biosciences, consultant and has equity in company. E.V. Varlamov: Lumiio, research support to her university, Novo Nordisk, research support to her university, Pfizer, research support to her university, Recordati Rare Diseases, research support to her university. A. Ferriere: Novo Nordisk, Recordati Rare Diseases. E. Nowak: Supported by the Else Kröner-Fresenius–Stiftung and the Eva Luise und Horst Köhler–Stiftung within the Clinician Scientist program RISE (2022_EKFKSE.03). C. Simeoli: Neurocrine UK Ltd, consultancy, Recordati Rare Diseases, consultancy. R.A. Feelders: HRA Pharma, consultancy, Recordati Rare Diseases, consultancy, Corcept Therapeutics, research grant, Member of the LINC 6 steering committee. J. Le Mouhaër: Recordati Rare Diseases, employee. P. Raunioniemi: Recordati Rare Diseases, employee. A. Mueller: Recordati Rare Diseases, employee. N. Scheyer: HRA Pharma, invitations to training courses and medical congresses, Pfizer, invitations to training courses and medical congresses, Recordati Rare Diseases, invitations to training courses and medical congresses. Introduction: LINC 6 (NCT05382156) is an ongoing prospective, observational study evaluating the long-term safety and effectiveness of osilodrostat, a potent 11β-hydroxylase inhibitor, over 3 years in patients (pts) with Cushing’s syndrome (CS). We report results from a prespecified 2-year interim analysis. Methods: Adult pts with endogenous CS were enrolled in 5 countries (USA and Europe) where osilodrostat is approved and available. The primary objective is long-term safety and tolerability, assessed by incidence of osilodrostat-related adverse events (AEs) and serious AEs (SAEs), with a focus on hypocortisolism-, adrenal hormone precursor accumulation-, arrhythmia/QT prolongation-, and pituitary tumor enlargement-related AEs. Secondary effectiveness endpoints include change in mean urinary free cortisol (mUFC) and late-night salivary cortisol (LNSC). Here, we report AEs in the safety population (≥1 osilodrostat dose; n=206) among pts with Cushing’s disease (CD) and non-pituitary CS (non-PCS, adrenal or ectopic CS; data cutoff July 2024). Results: Data were available for 205 pts: 75.6% were female, mean (standard deviation) age was 53.0 (14.4) years. 161 pts had CD and 44 had non-PCS (adrenal adenoma, n=12; adrenal carcinoma, n=2; bilateral adrenal nodular disease, n=10; ectopic adrenocorticotropic hormone secretion, n=17; other, n=3). Median (min-max) on-study osilodrostat exposure and dose were 8.3 months (0.0-20.8) and 5.0 mg/day (0.5-80.0). 34 (21.1%) CD and 9 (20.5%) non-PCS pts reported 91 and 14 AEs considered treatment related, respectively; most were mild or moderate (95.6% CD and 85.7% non-PCS). Most common (&gt;5% of events) treatment-related AEs: CD, adrenal insufficiency (9.9%, n=9/91 events), diarrhea, dizziness, fatigue (6.6% [n=6/91] each) and nausea (5.5%, n=5/91); non-PCS, adrenal insufficiency (42.9%, n=6/14 events), hypokalemia (14.3%, n=2/14), abnormal hormone (cortisol) level, dizziness, hirsutism, joint stiffness, musculoskeletal stiffness, and nervous system disorder (7.1% [n=1/14] each). 17 (10.6%) CD and 10 (22.7%) non-PCS pts reported 29 and 16 SAEs (7 and 4 were considered treatment related), respectively. 5 (3.1%) CD and 2 (4.5%) non-PCS pts discontinued because of 8 and 3 treatment-related AEs. CD and non-PCS pts reported 21 and 9 hypocortisolism-related AEs, 16 and 6 adrenal hormone precursor accumulation-related AEs, and 3 and 0 arrhythmogenic potential/QT interval prolongation-related AEs, respectively. CD pts had 3 pituitary tumor enlargement-related AEs. At month 3, mUFC and LNSC were normal in 73.9% (n=34/46) and 56.3% (n=18/32) of pts. By month 6, mUFC and LNSC were normal in 63.0% (n=29/46) and 30.4% (n=7/23) of pts. Conclusions: These LINC 6 2-year interim data show that osilodrostat is effective for the management of different etiologies of CS. AEs were mostly mild or moderate, with few leading to treatment discontinuation. Presentation: Sunday, July 13, 2025

BACKGROUND: Pelvic exenteration is the treatment of choice for selected patients with locally advanced primary and recurrent rectal cancer. Involvement of major pelvic neurovascular structures and bone was historically considered a contraindication due to unacceptably high rates of morbidity and low R0 resection rates. OBJECTIVE: To compare the outcomes of these “high-complexity” exenterative resections to those of “conventional” pelvic exenteration. DESIGN: International multicenter retrospective cohort study. SETTINGS: Sixteen specialized exenteration centers. PATIENTS: Those who underwent total pelvic exenteration for locally advanced primary and recurrent rectal cancer between 2018 and 2023 at participating centers. MAIN OUTCOME MEASURES: Perioperative resource utilization, morbidity, mortality, and R0 resection rates were reported. RESULTS: Seven hundred sixty-three patients underwent total pelvic exenteration, of whom 478 (63%) and 285 (37%) required conventional and high-complexity procedures, respectively. High-complexity pelvic exenteration was associated with longer operating time (600 vs 480 minutes, p < 0.001 for locally advanced primary rectal cancer, 623 vs 480 minutes, p < 0.001 for locally recurrent rectal cancer), intensive care stay (2 vs 1 day, p < 0.001 and 3 vs 1 day, p < 0.001), hospital stay (19 vs 15 days, p = 0.008 and 23 vs 15 days, p < 0.001), and higher blood loss (2000 vs 1236 mL, p < 0.001 and 3000 vs 1600 mL, p < 0.001). Morbidity and mortality outcomes and R0 resection rates were similar between the groups. LIMITATIONS: Generalizability of findings outside of expert units. CONCLUSIONS: High-complexity pelvic exenteration for the treatment of rectal cancer is associated with similar morbidity, mortality, and R0 resection rates, but it has a significantly higher operative time, blood loss, and hospital resource utilization compared to conventional pelvic exenteration. In high-volume, specialized centers, these techniques are considered the standard of care for appropriately selected patients with tumors that involve major pelvic bone or neurovascular structures. See Video Abstract . EXENTERACIÓN PÉLVICA TOTAL CONVENCIONAL FRENTE A EXENTERACIÓN PÉLVICA TOTAL DE ALTA COMPLEJIDAD PARA EL CÁNCER RECTAL LOCALMENTE AVANZADO Y LOCALMENTE RECURRENTE: UN ESTUDIO MULTICÉNTRICO INTERNACIONAL ANTECEDENTES: La exenteración pélvica es el tratamiento de elección para determinados pacientes con cáncer rectal primario y recurrente localmente avanzado. La afectación de las principales estructuras neurovasculares y óseas pélvicas se consideraba históricamente una contraindicación debido a las tasas inaceptablemente altas de morbilidad y a las bajas tasas de resección R0. OBJETIVO: Comparar los resultados de estas resecciones exenteración «de alta complejidad» con los de la exenteración pélvica «convencional». DISEÑO: Estudio de cohorte retrospectivo multicéntrico internacional. ENTORNOS: Dieciséis centros especializados en exenteración. PACIENTES: Aquellos que se sometieron a una exenteración pélvica total por cáncer rectal primario y recurrente localmente avanzado entre 2018 y 2023 en los centros participantes. PRINCIPALES MEDIDAS DE RESULTADOS: Se informaron la utilización de recursos perioperatorios, la morbilidad, la mortalidad y las tasas de resección R0. RESULTADOS: 763 pacientes se sometieron a una exenteración pélvica total, de los cuales 478 (63 %) y 285 pacientes (37 %) requirieron procedimientos convencionales y de alta complejidad, respectivamente. La exenteración pélvica de alta complejidad se asoció con un tiempo quirúrgico más prolongado (600 frente a 480 minutos, p < 0,001 para el cáncer rectal primario localmente avanzado, 623 frente a 480 minutos, p < 0,001 para el cáncer rectal localmente recurrente), estancia en cuidados intensivos (2 frente a 1 día, p < 0,001 y 3 frente a 1 día, p < 0,001), estancia hospitalaria (19 frente a 15 días, p = 0,008 y 23 frente a 15 días, p < 0,001) y mayor pérdida de sangre (2000 frente a 1236 ml, p < 0,001 y 3000 frente a 1600 ml, p < 0,001). Los resultados de morbilidad y mortalidad, así como las tasas de resección R0, fueron similares entre los grupos. LIMITACIONES: Generalización de los resultados fuera de las unidades especializadas CONCLUSIONES: La exenteración pélvica de alta complejidad para el tratamiento del cáncer de recto se asocia con tasas similares de morbilidad, mortalidad y resección R0, pero con un tiempo quirúrgico, una pérdida de sangre y una utilización de recursos hospitalarios significativamente mayores en comparación con la exenteración pélvica convencional. En centros especializados con un gran volumen de casos, estas técnicas se consideran el tratamiento estándar para pacientes adecuadamente seleccionados con tumores que afectan a los huesos pélvicos principales o a las estructuras neurovasculares. ( AI-generated translation )

Variations in liver allocation systems worldwide are presented, with a specific focus on regional differences and their potential impact on outcomes, with the goal of serving as a reference for future policy development. Summaries of liver allocation across multiple European, Scandinavian, and Asian systems, as well as the combined allocation system of Australia plus Canada, the United States, and the systems in Central America, South America, and the Caribbean are reviewed. A comprehensive comparison of how different regions address MELD exceptions, primarily focusing on hepatocellular carcinoma, along with the most common etiologies of liver disease requiring transplantation is presented. In addition, the adoption of living donation and donation after circulatory death is discussed. The study involves contributions from a diverse group of world experts in liver transplantation and may serve as an essential resource to foster international dialogue as countries strive to optimize organ allocation policies, including MELD exceptions.

Abstract Women make up 51% of the world's population, and the global population of postmenopausal women is growing. About 25% of these women experience debilitating menopausal symptoms. Since it is important that all health care professionals have a fundamental knowledge of managing women presenting with symptoms related to the menopause, this European Society of Endocrinology Clinical Practice Guideline was developed. It provides guidance on evaluation and optimal clinical management of women who go through the menopause in middle age, those with Premature Ovarian Insufficiency (POI), Early Menopause and those for whom hormones are not appropriate, including women with, or at high risk of, breast cancer. This guideline discusses the benefits and risks of hormone therapy administration as well as summarizing other treatments for menopausal symptoms. Further, the contentious issue of the impact of menopausal hormone therapy in the prevention of chronic disease is considered.

Abstract Background The results of a previous phase IIa trial suggested efficacy of the anti-C5a compound vilobelimab in a small number of patients with severe hidradenitis suppurativa (HS) refractory to adalimumab treatment. Objectives To study the efficacy of vilobelimab in a larger-scale randomized phase IIb trial (SHINE) of patients with moderate-to-severe HS. Methods In total, 177 patients with moderate-to-severe HS were treated either with placebo or one of four doses of vilobelimab, a monoclonal antibody that targets the complement split product C5a. Hidradenitis Suppurativa Clinical Response (HiSCR) at 16 weeks was the primary endpoint. Those who achieved HiSCR switched to open-label low-dose vilobelimab; those who did not were switched to medium-dose vilobelimab. The trial was registered with the EU Clinical Trials Register (EudraCT number 2017-004501-40) and ClinicalTrials.gov (NCT03487276). Results The study did not meet the primary endpoint, perhaps due, in part, to an unexpectedly high HiSCR placebo response rate of 47.1%. HS flares decreased and post hoc analysis showed that high-dose vilobelimab significantly decreased the median draining tunnel counts and IHS4 score by 63%. Following the switch to medium-dose vilobelimab at week 16, 45.5% of those who did not respond to treatment achieved HiSCR at week 40. Conclusions Compared with placebo, vilobelimab treatment did not result in significant HiSCR improvements in patients with moderate-to-severe HS. Post hoc analysis revealed significant effects for the highest tested dose on draining tunnel reduction and IHS4 score, which captures reductions in draining tunnels. These findings warrant further investigation.

Abstract In recent years, various tracking technologies that work independently of imaging systems have been proposed to automate, simplify, and enhance various tasks in the brachytherapy treatment workflow. These tasks, critical to the overall accuracy of the therapeutic dose delivery, include applicator, catheter and needle insertion guidance, and reconstruction as well as transfer tube connection in afterloading technique. Task Group 317 was established as a joint American Association of Physicists in Medicine (AAPM) and European Society for Radiotherapy and Oncology (ESTRO) committee to review: the current state‐of‐the‐art scientific literature as it pertains to tracking technology in the field of brachytherapy; the benefits and issues related to the use of the technology for automated reconstruction of brachytherapy implants, quality control (QC) tasks such as channel path and tip reconstruction, and real‐time guidance tasks; their limitations, in particular in the clinical environment and, finally, to develop recommendations related to commissioning, quality assurance (QA) and clinical use. The Task Group has looked in detail at key tracking technologies in advanced brachytherapy applications: infrared, electromagnetic, fiber optic shape sensing (fiber Bragg grating), and active radiofrequency coil tracking. For each, the performance and accuracy in well‐controlled conditions as well as in clinically relevant environments are provided. Guidelines for clinical implementations, including target accuracy and performance needed for critical tasks, are summarized. Risk‐based analysis is discussed in the context of an electromagnetic‐based tracking system used as part of a clinical trial. The report concludes with the essential elements of an effective quality management program dedicated to the advanced features enabled by the above‐described technology.