Citations

9567 Background: Resected stage IIB/C and microscopic stage IIIA/B/C/D melanoma presents a significant risk of recurrence risk of 37 to 62% at 5 years (yrs). While 1 year of adjuvant PD1 therapy reduces this risk by approximately half, the individual patient’s baseline risk without treatment and their specific benefit from adjuvant PD1 remain unknown. We aimed to generate two separate predictive models for recurrence – one for untreated and one for treated pts - to calculate the individualised benefit of adjuvant PD1. Methods: Pts with resected stage IIB/C or microscopic stage IIIA/B/C/D melanoma, either treated with adjuvant PD1 or untreated at 13 major melanoma centres, and with at least 2 years of follow-up from surgery were included. We analysed pts demographics, disease characteristics, blood parameters, pathological and imaging data at baseline, and clinical outcomes. Propensity scores were estimated using logistic regression with covariates associated with treatment in univariate screening (p<0.05). Separate penalised multivariable logistic regression models were built to predict recurrence for treated and untreated pts. A tool based on these models was created to calculate the individual patient benefit from adjuvant PD1. Results: A total of 3560 pts was included, divided into untreated (discovery n=2384 and validation n=597) and treated (discovery n=404 and validation n=175) cohorts. The model for untreated pts included age, gender, primary site, histological subtype, Breslow thickness, ulceration, mitosis, number and site of regional lymph nodes (LN), mutation status and LDH (AUC 0.70 in discovery, 0.69 in validation). The model for treated pts included age, gender, Breslow thickness, site of regional LN, and mutation status (AUC 0.69 in discovery, 0.61 in validation). ADAPT-M (ADjuvant Anti-PD-1 Tool for Melanoma) calculates the individualized benefit of adjuvant PD1. For example, patient A, a woman ≤45 years old with a primary head & neck melanoma (superficial spreading, thickness >1-2 mm, no ulceration, 1 mitosis/mm 2 ), 2 clinically occult LN metastases in the neck, NRAS mutant, and normal LDH, has a 12-month recurrence risk of 21.9% untreated vs 2.3% treated (benefit 19.6%), and a 24-month risk of 41.1% untreated vs 6.4% treated (benefit 34.7%). While, patient B, a man ≤45 years old with a primary melanoma in the lower limb (nodular, thickness >1-2 mm, no ulceration, 1 mitosis/mm 2 ), 2 clinically occult LN metastases in the groin, BRAF V600 mutant, and normal LDH, has a 12-month recurrence risk of 14.2% untreated vs 11.8% treated (benefit 2.5%), and a 24-month risk of 28.0% untreated vs 30.1% treated (no benefit). Conclusions: ADAPT-M, a clinical tool that estimate individualized recurrence risks with and without adjuvant anti-PD1 therapy, quantifies the absolute benefit of treatment for pts with high-risk resected melanoma, facilitating personalized adjuvant therapy decisions.

8077 Background: Small cell lung cancer (SCLC) is an aggressive malignancy with poor prognosis. This study evaluates national trends in surgical management of early-stage SCLC using the National Cancer Database (NCDB), aiming to identify factors associated with improved outcomes and assess the survival benefit of surgical resection. Methods: Patients diagnosed with clinical stage T1–T3 N0 M0 SCLC between 2004 and 2022 were identified from the NCDB. Exclusions included non-SCLC histologies, advanced or missing staging, non-lobectomy surgeries, and incomplete survival data. Propensity score matching (1:1) was used to balance surgical and non-surgical cohorts based on demographic, clinical, and socioeconomic variables. Kaplan-Meier and Cox regression analyses were used to evaluate overall survival, stratified by T stage. Results: Among 17,762 patients with early-stage SCLC, 3,234 (18.2%) underwent lobectomy with mediastinal lymph node dissection. Surgical rates increased from 5% in 2004, 17% in 2013 to 24% in 2021. Surgery was more common in T1 (26.5%) than T2 (11.4%) or T3 (4.6%) disease. After matching, surgery was associated with improved survival across all T stages, with no significant interaction between T stage and surgical benefit (p=0.43). Older age, male sex, and higher comorbidity scores predicted worse outcomes. Among surgical patients, 2.3% received neoadjuvant therapy and 71.6% received adjuvant treatment. Systemic therapy-both neoadjuvant (HR 0.63) and adjuvant (HR 0.69)-was significantly associated with improved survival. Conclusions: Lobectomy remains underutilized in early-stage SCLC but is linked to significantly improved survival. Albeit small patient's number, neoadjuvant systemic therapy further enhanced survival, supporting broader use of surgery and multimodal treatment in appropriately selected patients Univariable results 1 Multivariable results 2 Characteristic No. deaths Person-months HR (95% CI) p-value HR (95% CI) p-value Charlson score <0.001 <0.001 0 761 77727 1.00 (ref) 1.00 (ref) 1 623 60483 1.06 (0.95,1.18) 1.07 (0.96,1.20) 2 or more 350 27025 1.30 (1.15,1.48) 1.30 (1.13,1.48) Clinical T-stage 0.011 0.014 cT1N0M0 1266 124916 1.00 (ref) 1.00 (ref) cT2N0M0 406 33924 1.18 (1.06,1.32) 1.20 (1.06,1.35) cT3N0M0 62 6393 0.96 (0.75,1.24) 1.00 (0.76,1.31) Residual disease <0.001 <0.001 No residual tumor 1626 158838 1.00 (ref) 1.00 (ref) Residual tumor 92 4699 1.91 (1.55,2.36) 1.91 (1.52,2.40) Neoadjuvant systemic treatment 0.253 0.034 No 1629 154116 1.00 (ref) 1.00 (ref) Yes 30 3495 0.81 (0.56,1.16) 0.63 (0.41,0.97) Adjuvant radiation 0.067 <0.001 No 1209 118925 1.00 (ref) 1.00 (ref) Yes 452 40471 1.11 (0.99,1.23) 1.33 (1.18,1.51) Adjuvant systemic treatment <0.001 <0.001 No 563 44045 1.00 (ref) 1.00 (ref) Yes 1096 113566 0.75 (0.68,0.83) 0.69 (0.62,0.78)

Abstract Lentigo maligna (LM) is a subtype of cutaneous melanoma in situ that develops on chronically sun‐damaged skin in elderly individuals. Its diagnosis and management remain challenging due to its slow progression, frequent occurrence on cosmetically sensitive areas in frail individuals, and tendency for subclinical peripheral extension. Despite its potential for invasive transformation, the natural history of LM remains incompletely understood and evidence‐based management strategies for this specific entity remain limited. This work aims to bridge the gap between scarce high‐quality evidence and the clinicians' need for practical guidance on LM management by formulating evidence‐based and expert consensus‐driven recommendations for diagnosis, treatment and follow‐up. Under the coordination of the International Dermoscopy Society, a global, multidisciplinary consortium of 53 experts—including dermatologists, dermato‐oncologists, dermatologic surgeons, radiologists, radiotherapists, pathologists and epidemiologists—formulated recommendations through structured consensus, informed by a comprehensive review of current scientific evidence and clinical practice standards. Optimal management of LM requires accurate diagnosis and individualized treatment planning. Non‐invasive skin imaging techniques, especially dermoscopy and reflectance confocal microscopy, aid in diagnosis, biopsy orientation, lesion delineation and post‐treatment monitoring. Multiple partial biopsies help confirm diagnosis and rule out invasion. Complete surgical excision remains the first treatment option. No definitive safety margins can be recommended for standard surgery; margin‐controlled techniques are preferable for large or ill‐defined lesions. Topical imiquimod and radiotherapy are effective alternatives where surgery is unsuitable. Topical imiquimod is useful as primary, adjuvant or neoadjuvant therapy. Blind destructive methods should be avoided. Close clinical and imaging follow‐up is needed. Patient‐centred care, shared decision‐making, and a multidisciplinary approach are critical for optimal outcomes. These international consensus recommendations summarize current best practices for LM management, offering practical, evidence‐informed guidance to clinicians while acknowledging the potential of future research in refining these conclusions.

Abstract Background Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maximal safe resection, yet routine imaging cannot reliably separate infiltrative tumor from vasogenic edema. The aim of this study was to develop and validate an automated method to identify peritumoral subregions compatible with nCET and assess its prognostic value. Methods Pre-operative T2-weighted and FLAIR MRI from 940 patients with newly diagnosed GB in four multicenter cohorts were analyzed. A deep-learning model segmented enhancing tumor, edema and necrosis; a non-local, spatially varying finite mixture model was applied to identify edema subregions characterized by relatively lower FLAIR hyperintensity, hypothesized to reflect nCET-related tissue. The ratio of these subregions to total edema volume defined the T2/FLAIR Heterogeneity Index (TFHI). Associations between TFHI and overall survival (OS) were examined with Kaplan–Meier curves and multivariable Cox regression. Results Higher TFHI values stratified patients with shorter OS. In the NCT03439332, TFHI above the optimal threshold was associated with a twofold increased hazard of death (hazard ratio [HR] 2.07, 95 % confidence interval 1.33-3.21; P = .0013) and a reduction in median survival of 98 days. Significant, though smaller, prognostic effects were confirmed in GLIOCAT & BraTS (HR= 1.37; P = .047), OUS (HR = 1.37; P = .0032) and pooled analysis (HR= 1.26; P = .0008). TFHI remained an independent predictor after adjustment for age, extent of resection and MGMT methylation. Conclusions We present a reproducible, server-hosted tool for automated identification of imaging-defined, putative nCET-related peritumoral subregions and TFHI biomarker extraction that enables independent prognostic stratification. This approach provides a quantitative framework for studying peritumoral heterogeneity in GB.

Abstract Objective: Suppressive antibiotic therapy (SAT) is used to prevent recurrent prosthetic joint infections (PJI) among patients who undergo debridement, antibiotics, and implant retention (DAIR). We aimed to assess SAT outcomes among younger, immunocompetent patients. Design: Retrospective cohort study. Patients: Immunocompetent patients <65 years of age who received DAIR for PJI of the hip, knee, or shoulder. Setting: Veterans Affairs hospitals. Methods: SAT was divided into short-term (oral antibiotics given for <3 months after guideline concordant therapy) and long-term SAT (>3 months to 5 years of oral antibiotics). The primary outcome was treatment failure (TF) and mortality combined. SAT was a time-dependent covariate in Cox proportional hazards models. Results: Of the 938 patients, 15% received short-term SAT, 20% received long-term SAT, and 65% did not receive SAT. Short- and long-term SAT were significantly associated with decreased hazards of TF or mortality (short-term SAT adjusted hazard ratio (aHR) = 0.27; 95% confidence interval (CI): 0.11, 0.67; Long-term SAT aHR = 0.52; 95% CI: 0.30, 0.89). Short-term SAT was significantly associated with C. difficile infection (aHR: 3.47; 95% CI: 1.38, 8.74). Short-term SAT (aHR: 7.83; 95% CI: 4.80, 12.77) and long-term SAT (aHR: 1.68; 95% CI: 1.19, 2.38) were significantly associated with antibiotic-associated diarrhea. Long-term SAT was not significantly associated with TF alone (aHR = 0.61; 95% CI: 0.32, 1.16). Conclusions: SAT was significantly associated with decreased death or TF and increased side effects. Benefits and risks must be weighed before prescribing SAT to younger, immunocompetent patients.

334 Background: Sarcopenia, or decreased skeletal muscle mass, has been associated with worse surgical and oncologic outcomes across multiple malignancies. This study investigates the impact of sarcopenia on outcomes after multimodal therapy for esophageal cancer. Methods: Retrospective observational cohort study including adult patients who underwent neoadjuvant therapy followed by esophagectomy for primary esophageal cancer from January 2000 - December 2021. A fully automated abdominal segmentation using deep convolutional neural network was utilized to calculate skeletal muscle index (SMI) from preoperative CT scans performed at our institution. Males with SMI <52.4 cm 2 /m 2 and females with SMI <38.5 cm 2 /m 2 at any point before surgery were classified as sarcopenic. The relationship between sarcopenia and patient demographics, operative details, and complications were explored using chi-square tests. The relationship between sarcopenia and disease-free survival and overall survival were investigated using parsimonious multivariable analysis retaining variables with p-value <0.05 using backward selection method. Results: We identified 200 patients meeting the study criteria with 142 (71%) having sarcopenia at any time prior to surgery. Patients with sarcopenia were significantly older [65.2 (59.6, 71.2) vs 63 (53.6, 67.5), p = .023] and more likely to have had open surgery [129 (90.8%) vs 46 (79.3%), p = .034]. There were no significant differences in sex, history of diabetes, coronary artery disease, renal disease, smoking, cancer type, cancer stage, tumor size, tumor location, or margin status between sarcopenic groups ( p > .05). Sarcopenic patients were significantly more likely to require blood transfusion ≥3 units after esophagectomy [79 (55.6%) vs 8 (13.8%), p < .001] or to experience complications requiring surgical intervention [36 (24.6%) vs 7 (12.1%), p = .048]. Multivariate analysis revealed that sarcopenia was associated with disease-free and overall survival (Table). Conclusions: Sarcopenia is a prognostic factor in patients undergoing multimodal therapy for esophageal cancer. Interventions that aim to prevent decreases in SMI after initiating neoadjuvant therapy should be investigated. Multivariate analysis with sarcopenia predicting outcomes. Disease free survivalHR (95% CI) p-value Overall survivalHR (95% CI) p-value Age 1.04 (1.02, 1.06) < .001 1.04 (1.02, 1.07) < .001 Epicenter Middle Upper 1.88 (1.21, 2.86)3.16 (1.67, 5.98) .001.005< .001 1.96 (1.26, 3.04)4.00 (1.90, 8.44) < .001.003< .001 Stage Stage II Stage III Stage IV 1.88 (0.95, 3.71)2.90 (1.46, 5.75)16.02 (6.12, 41.93) < .001.069.002< .001 1.65 (0.83, 3.25)2.76 (1.37, 5.55)10.14 (4.03, 25.53) < .001.151.005< .001 Cancer type - - 1.76 (1.03, 3.02) .039 Transfusion > 3 pRBC - - 1.54 (0.99, 2.40) .057 BMI prior to cancer diagnosis - - 0.98 (0.94, 1.01 .208 Sarcopenic 1.76 (1.16, 2.67) .007 1.64 (1.04, 2.60) .033

Importance The choice of induction agent during rapid sequence intubation (RSI) of critically ill adults may affect clinical outcomes. Although ketamine and etomidate are frequently used for RSI, their comparative effectiveness remains controversial. Objective To compare the safety of etomidate vs ketamine for emergency RSI in critically ill adults. Design, Setting, and Participants This cohort study used a target trial emulation with observational data collected between March 1, 2022, and April 30, 2024, from 18 emergency departments across Brazil, with data from the Brazilian Airway Registry Cooperation. Adults who underwent RSI and received either etomidate or ketamine as a sole hypnotic agent were included; those with preintubation cardiac arrest or immediate postintubation transfer were excluded. Exposure Administration of etomidate or ketamine as the induction agent for RSI. Main Outcomes and Measures The primary outcome was 28-day in-hospital mortality. Secondary outcomes included 7-day in-hospital mortality, first-attempt intubation success, and major adverse events (new hemodynamic instability, severe hypoxemia, and cardiac arrest) within 30 minutes after intubation. Inverse probability of treatment weighting was used to adjust for confounding. Risk ratios (RRs) and risk differences (RDs) with 95% CIs were used to compare outcomes between groups. Results Among 1810 patients (median age, 64 years [IQR, 50-74 years]; 1048 men [57.9%]), 514 received ketamine and 1296 received etomidate. The median shock index was higher in the ketamine group than the etomidate group (0.81 [IQR, 0.65-1.01] vs 0.76 [IQR, 0.59-0.99]), and preintubation vasopressor use was more common in the ketamine group than the etomidate group (191 of 514 [37.2%] vs 391 of 1296 [30.2%]). Weighted 28-day mortality was higher with etomidate than ketamine (60.5% [95% CI, 57.2%-63.8%] vs 54.4% [95% CI, 45.0%-63.9%]; RR, 1.14 [95% CI, 1.03-1.27]; RD, 7.6% [95% CI, 2.0%-13.3%]). Seven-day mortality was also higher with etomidate than ketamine (35.2% [95% CI, 32.0%-38.3%] vs 30.1% [95% CI, 23.5%-36.7%]; RR, 1.19 [95% CI, 1.04-1.35]). New hemodynamic instability within 30 minutes after intubation was more frequent with ketamine (24.2% [95% CI, 20.4%-28.0%] vs 18.9% [95% CI, 16.7%-21.0%]; RR, 0.78 [0.64-0.95]). There were no statistically significant differences in the other secondary outcomes. Conclusions and Relevance In this cohort study of critically ill adults undergoing RSI, etomidate use was associated with higher in-hospital mortality at 7 and 28 days compared with ketamine. These findings highlight the need for definitive randomized clinical trials to compare both agents.

ABSTRACT Solid tissue‐derived extracellular vesicles (ST‐EVs) are extracellular vesicles (EVs) separated directly from solid tissues of both vertebrates and invertebrates. ST‐EVs provide a physiologically relevant snapshot of tissue‐specific molecular dynamics and can be enriched directly in situ, from tissues in their natural state, preserving the native characteristics of ST‐EVs. However, their enrichment presents unique technical challenges compared to EVs derived from biofluids or cell culture media. The need for transparent reporting in ST‐EV research is crucial to enhance the reproducibility, comparability, and reliability of research findings. The Solid Tissue Task Force, part of the Scientific Reproducibility Subcommittee of International Society for Extracellular Vesicles, aims to recommend reporting parameters and identify outstanding questions related to the pre‐analytical and analytical handling of solid tissues, as well as ST‐EV separation and characterization. These steps are essential for advancing the understanding of the biological roles of ST‐EVs and their potential clinical applications.

ABSTRACTBackground and PurposeLarge‐bore aspiration catheters (LBACs) are used for thrombectomy in large vessel occlusion (LVO), either as a standalone direct aspiration first‐pass technique or combined with a stent retriever (ASR). LBAC design may influence ASR thrombectomy efficacy. We compared the safety and performance of the novel MIVI Q segmental catheter with the well‐established SOFIA aspiration device in ASR thrombectomy.MethodsWe analyzed data from the Registry cOmbined vS SinglE Thrombectomy TechnIques registry of consecutive patients with anterior circulation LVO and compared the outcomes of those treated with first‐line ASR thrombectomy using Q (Q5 or Q6) or SOFIA (5F or 6F Plus) catheters. Demographic, clinical, angiographic, and clinical outcome data (24‐h National Institute of Health Stroke Scale [NIHSS] and modified Rankin Scale score at 3 months) were compared.ResultsOf the 853 patients, 155 (18.2%) were treated with MIVI Q and 698 (81.8%) with SOFIA catheters. After adjusting for age, sex, NIHSS score at baseline, tPA use, site occlusion, anesthesia type, and diameter and length of SR, the MIVI Q group was comparable to the SOFIA group in terms of first‐pass effect or successful final recanalization and safety. However, the MIVI Q group had a shorter mechanical thrombectomy time (20 [10–45] min vs. 33 [20–51] min; odds ratio [OR] = 7.4, 95% confidence interval [CI]: 1.1–14; p = 0.021) and a lower rate of symptomatic intracerebral hemorrhage (3.3% vs. 8.8%; OR = 3.59, 95% CI: 1.45–10.9; p = 0.011).ConclusionsIn ASR neurothrombectomy, SOFIA aspiration catheters were not superior to MIVI Q in achieving successful and complete first‐passage recanalization; however, MIVI Q had shorter procedural times and a lower rate of symptomatic intracranial hemorrhage.

BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine learning model that uses plaque composition data and degree of carotid stenosis to detect symptomatic carotid plaques in patients with carotid atherosclerosis. METHODS: The machine learning based model was trained using degree of stenosis and the volumes of 13 computed tomography angiography derived intracarotid plaque subcomponents (eg, lipid, intraplaque hemorrhage, calcium) to identify plaques associated with cerebrovascular events. The model was internally validated through repeated 10-fold cross-validation and tested on a dedicated testing cohort according to discrimination and calibration. RESULTS: This retrospective, single-center study evaluated computed tomography angiography scans of 268 patients with both symptomatic and asymptomatic carotid atherosclerosis (163 for the derivation set and 106 for the testing set) performed between March 2013 and October 2019. The area-under-receiver-operating characteristics curve by machine learning on the testing cohort (0.89) was significantly higher than the areas under the curve of traditional logit analysis based on the degree of stenosis (0.51, P <0.001), presence of intraplaque hemorrhage (0.69, P <0.001), and plaque composition (0.78, P <0.001), respectively. Comparable performance was obtained on internal validation. The identified plaque components and associated cutoff values that were significantly associated with a higher likelihood of symptomatic status after adjustment were the ratio of intraplaque hemorrhage to lipid volume (≥50%, 38.5 [10.1–205.1]; odds ratio, 95% CI) and percentage of intraplaque hemorrhage volume (≥10%, 18.5 [5.7–69.4]; odds ratio, 95% CI). CONCLUSIONS: This study presented an interpretable machine learning model that accurately identifies symptomatic carotid plaques using computed tomography angiography derived plaque composition features, aiding clinical decision-making.